The Indian Statistical Institute (I.S.I.) founded by Professor Prasanta Chandra Mahalanobis, grew out of the Statistical Laboratory set up by him in the Presidency College in Calcutta. In 1932 the Institute was registered as a learned society for the advancement of Statistics in India. Within a few years the Institute's achievements in teaching and research as well as numerous projects undertaken for the Government of India brought recognition in India and abroad. The Institute is now considered one of the foremost centres in the world for training and research in Statistics and related fields. It has a distinguished faculty, as well as excellent library and modern computer facilities. In keeping with its long tradition it has been providing professional and technical help in promoting national development. Under the able leadership of Professor Mahalanobis, the Institute also initiated and promoted the interaction of Statistics with natural and social sciences through collaborative research work; this is still the unique feature of the Institute.

The major objectives of the Institute, as given in its Memorandum, are
(a) to promote the study and dissemination of knowledge of Statistics, to develop statistical theory and methods, and their use in research and practical applications generally, with special reference to problems of planning of national development and social welfare;
(b) to undertake research in various fields of natural and social sciences with a view to the mutual development of Statistics and these sciences;
(c) to provide for, and undertake, the collection of information, investigation, projects and operational research for purposes of planning and the improvement of efficiency of management and production.

The Institute has acquired a special distinction in India for its activities since 1930's relating to collection and analysis of information of social, economic and demographic characteristics in India, in particular, through the national sample surveys. It may be mentioned that the Draft-Plan frame, accepted as the basis for the formulation of the Second Five Year Plan, was prepared by Professor Mahalanobis in cooperation with many eminent economists in the Institute and from abroad. Also, for more than sixty years the Institute has been providing training in Statistics to central and state government officials from India as well as from countries in Asia, Africa and the Far East.

The research work in the Institute, beginning with the work of Professor P.C. Mahalanobis, Professor R.C. Bose, Professor S.N. Roy and Professor C.R. Rao, has won the Institute a unique place in the world of Statistics. Sankhya, the Indian Journal of Statistics, published by the Institute since 1933, carried much of their work in its early issues and has grown into a leading journal in Statistics. A large number of Indian statisticians and probabilists who have won international fame have been scholars or members of the Institute's faculty. The Institute has on its faculty several well-known statisticians, mathematicians, economists and scientists in other fields, among whom are fellows of the Indian National Science Academy and the Indian Academy of Sciences, recipients of the S.S. Bhatnagar Memorial Award and the Mahalanobis Memorial Medal and fellows of many other scientific societies in India and abroad.

Professor P.C. Mahalanobis was the first Director and guided the affairs of the Institute till his death in June 1972. He was succeeded by Professor C.R. Rao, who held the position till 1976 and later became a National Professor and continues to be associated with the Institute.

The Institute has a long tradition of collaborating with eminent statisticians, mathematicians and other scientists from all over the world and having their active participation in its teaching and research programmes. Sir R.A. Fisher was a frequent visitor and collaborator. Professor J.B.S. Haldane joined the Institute in the late fifties and worked in the Institute for several years.

The Institute has been offering formal courses in Statistics leading to certificates and diplomas since the late thirties. Post-M.Sc. advanced course in Statistics was started in the late forties. In 1959, in recognition of the role of Statistics as a key technology of the modern times and the importance of the Institute in the development and application of Statistics, the Parliament of India enacted the Indian Statistical Institute Act, declaring it an Institution of National Importance and empowering it to grant degrees and diplomas in Statistics. The B.Stat.(Hons.) and the M.Stat. degree programmes in Statistics were introduced in the Institute with the objective that the academic training of a statistician should encompass the basic principles of Statistics along with its theoretical and methodological development, not merely in abstract formulation, but also in relation to concrete problems arising from natural and social sciences. The curricula for these degree programmes were developed accordingly. Since the inception of these programmes 587 students have passed the B.Stat.(Hons.) examination and 1171 students have obtained the M.Stat. degree till 1998. The Institute also introduced research programmes and 249 students so far received the Ph.D. degree of the Institute.

The Indian Statistical Institute Act was amended in 1995 empowering it to grant degrees and diplomas in Statistics, Mathematics, Quantitative Economics, Computer Science and such other subjects related to Statistics, as may be determined by the Institute from time to time. From the year 1996 the Institute has introduced a Master of Science (M.S.) degree course in Quantitative Economics. 29 students have received M.S.(QE) degree till the inception of this programme.

The Institute has a long history of the use of computers and, since the early fifties, has made use of successively newer generation equipment. The Electronic Computer Laboratory of the Institute was established in 1950. The first electronic computer in India, an HEC-2M, was installed in the Institute in 1956, and one of the foremost formal courses for computer science in the country started in the Institute in 1962. The Institute has a number of computer systems in Calcutta, Delhi, Bangalore, Chennai and Hyderabad, and the computer centre at Calcutta has VAX8650, SUN ENTERPRISE E3000 Server, Digital Alpha 4100 Server, IBM AS400 Server, several SUN Workstations and PCs. Campuswide Network connecting different buildings/units of the Institute at Calcutta has been installed. The Institute has INTERNET connectivity at Calcutta, Delhi and Bangalore Centres.  The practical classes of the degree programmes have been designed to make use of the electronic computers. The Diploma in computer science was started in the Institute in 1966, and upgraded to the M.Tech. degree course in 1978. Till 1999, 302 students received the M.Tech.(CS) degree of the Institute. The Institute also offers Certificate and Diploma courses in Computer Programming and Applications.

In the early fifties the Institute initiated the use of Statistical Quality Control and Operations Research (SQC & OR) in India, and started to develop these fields through theoretical and applied research, practical training in industry and consultation work. The Institute in Calcutta, its two centres in Delhi and Bangalore, and a network of service-cum-research units in other cities in India have many experienced and highly qualified personnel in SQC & OR. The Institute used to conduct a post-graduate diploma course in SQC & OR which was upgraded to a M.Tech. degree course in Quality, Reliability and Operations Research in 1989. Till 1999, 265 students received the M.Tech.(QROR) degree of the Institute.

The International Statistical Education Centre, established in the Institute in 1950, is run in collaboration with the International Statistical Institute under the auspices of the UNESCO and the Government of India. This Centre has been providing training in Statistics to sponsored students mainly from Asia, Africa and the Far East. The Centre also offers various short-term courses in Statistics.
The Central Library of the Institute is located at Calcutta with a network extending to other locations of the Institute. Over the years, the Library of the Institute has attained the distinction of being one of the richest libraries in the country, particularly in the fields of Statistics and related disciplines. The Central Library in Calcutta has over 2,20,000 volumes of books and journals besides many official reports, reprints, maps, microfilms, and microfiches. It receives about one thousand scientific and technical journals annually. The library has acquired databases on CD-ROM and further computerization of library facilities is in progress. The library has developed a separate collection of books and journals in Mathematics and Statistics known as Eastern Regional Centre of NBHM collection out of the grants from National Board for Higher Mathematics.  Students of the Institute have easy access to the library shelves. The Institute offers a course leading to Associateship in Documentation and Information Science at the Bangalore Centre.

Most of the research and teaching of the Institute takes place in three campuses located in Calcutta, Delhi and Bangalore.  Each campus has hostels for students, residential quarters for the faculty and a guest house, besides recreational and medical facilities. At each of these three campuses the Institute has a distinguished and experienced faculty in theoretical and applied statistics, statistical quality control and operations research, mathematics and economics. In Calcutta, where the headquarters of the Institute is located, there are strong groups of scientists in many other disciplines, such as, computer science, population studies, physics, chemistry, agriculture including fishery science, botany, embryology, biochemical epidemiology, nutrition and health, geology, anthropology and human genetics, biometry, linguistics, psychometry and sociology. Moreover, in the Bangalore Centre, there is a strong group working in Information Science. These scientists are engaged in research work in their respective disciplines along with collaborative work with the statisticians of the Institute.

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2. Current Academic Programmes
 

* For the academic year 2000-2001 this course is not being offered at Mumbai.

Research courses for Junior and Senior Fellows are offered in some disciplines.
The Institute also offers courses leading to certificates, diplomas etc. in collaboration with the International Statistical Institute and with the Central Statistical Organization.
 

** Duration at the Indian Statistical Institute.

The Institute regularly conducts professional examinations (open to all eligible candidates) leading to

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3. Stipends, Allowances etc.

Deserving non-sponsored students and research fellows admitted to various programmes receive stipends, and contingency/book grants as given below and are not required to pay any tuition fees.
 

Stipend/Fellowship granted to a student may be reduced or completely withdrawn if the academic progress, attendance in class, or character and conduct of the student are found to be unsatisfactory. Stipends are granted in the first instance for one semester/academic year only. They are renewed periodically if the progress of the student is found to be satisfactory. Students receiving stipends and leaving in the middle of a course have to refund the stipend/contingency grant received. At the end of each year/semester, prizes are also awarded for outstanding performance in examinations.

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4. Admission Procedure

Admission to the academic programmes is strictly based on the merit of the candidates as judged from their academic records and performance in appropriate selection tests and interviews. The selection tests are held at a number of centres in India. Section 6 gives details on eligibility conditions and selection tests for the programmes offered. If at any stage of the selection process it is found that a candidate does not satisfy the eligibility conditions, his/her application will not be processed any further. Meeting the minimum eligibility requirements does not necessarily entitle a candidate to take the selection tests or be called for interview or be selected. Eligibility requirements may be relaxed in some cases at the discretion of the Institute. The decisions of the Institute in these matters are final. Canvassing in any form disqualifies a candidate from being selected.

If a student fails a course and is not allowed to repeat, he/she is not eligible for readmission to the same course.

In some programmes there is a provision for employers to sponsor suitable candidates employed by them. Details of this scheme are given separately under the appropriate programmes.

Note : Sample questions and/or the syllabi for the selection tests are sent to the candidates along with admit cards after the applications are processed.

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5. Students' Brochure

Details of the course along with the rules and regulations pertaining to the academic programmes of the Institute are given in a brochure. Each student is supplied with such a brochure at the time of admission.

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6. Brief Description of the Academic Programmes and Methods of Selection

For the regular degree courses the following schedule is generally maintained:
(a) B.Stat.(Hons.)., B.Math.(Hons.)., M.Stat. and M.S. in Q.E.
 

(b) M.Tech.
 

 The classes are usually held on weekdays (excluding Saturdays and Sundays) during 9.30/10.00 a.m. to 6.30 p.m. unless mentioned otherwise.
Note : The Institute reserves the right to make changes in course structure, syllabi, etc. as and when needed.

A brief account of the various courses offered by the Institute is given below. Details regarding the structure of the courses, promotion criteria, etc. can be found in the appropriate students' brochure.

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6.1. Bachelor of Statistics (Honours) (B.Stat.(Hons.))
6.1.1. Scope. The B.Stat.(Hons.) degree programme offers comprehensive instruction in the theory, methods and applications of statistics. It is so designed that on successful completion, the students would be able to perform statistical work competently in government departments, research institutions, scientific laboratories and industry at a junior level.
6.1.2. Duration. The duration of the programme is three years.
6.1.3. Eligibility. In order to be eligible for admission, a student should have successfully completed 10+2 years of Secondary Education (or its equivalent) with Mathematics and English as subjects of study.
6.1.4. Selection Test. The selection test will comprise objective and/or short-answer questions in mathematics at the Higher Secondary level (10+2 years' programme) and in quantitative reasoning.
6.1.5. Course structure. The curriculum comprises the following twenty-eight courses over the three-year period as given below; four or five courses are to be taken in each semester.

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6.2. Bachelor of Mathematics (Honours) (B.Math.(Hons.))
6.2.1. Scope. The B.Math.(Hons.) degree programme offers comprehensive instruction in basic mathematics along with rudimentary courses in Probability, Statistics, Computing and Physics. It is so designed that on successful completion, the students would be able to pursue higher studies and research in areas of Mathematics, Statistics, Computer Science, Mathematical Physics etc. or take up careers as research or applied mathematician.
6.2.2. Duration. The duration of the programme is three years.
6.2.3. Eligibility. In order to be eligible for admission, a student should have successfully completed 10+2 years of Secondary Education (or its equivalent) with Mathematics and English as subjects of study.
6.2.4. Selection Test. The selection test will comprise objective and/or short-answer questions in mathematics at the Higher Secondary level (10+2 years' programme) and in quantitative reasoning.
6.2.5. Course structure. The curriculum comprises the following thirty courses over the three-year period as given below; four or five courses are to be taken in each semester.

   Note 1. A remedial course in English is offered in the first year. Students who are found to be weak in English at the time of admission are required to pass this course.
   Note 2. A student will be allowed to write the second semestral examinations in a year only if he/she attends at least 75% of all the classes in the first and second semesters. Promotion from the first year to the second year or from the second year to the third year is based on the performance in that particular year. If a student fails in the first year or the second year, he/she is not allowed to repeat and is asked to discontinue the programme. A student who fails in the final year is allowed one chance to repeat that year without stipend.
The final result is based on the performance in all the thirty courses. A student successfully completing the course is placed in the First Division with Distinction, First Division, Second Division, or B.Math.(Pass) depending on his/her performance.

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6.3. Master of Statistics (M.Stat.)

6.3.1.  Scope. The M.Stat. Programme offers advanced level training in theory, methods and applications in statistics along with specialized training in a selected area related to statistics or in some selected fields of statistics. Depending on the area of specialization students on successful completion of the programme would be able to work competently as statisticians and specialists in government departments, research institutions and industrial and commercial enterprises.
6.3.2. Duration. The duration of the programme is two years.
6.3.3. M.Stat. Streams. The M.Stat. Programme is offered in two streams: S-stream and M-stream. The curriculum for the S-stream is designed for students with knowledge in statistics at an advanced level corresponding to a three-year Bachelor's degree programme and knowledge in mathematics at Bachelor's degree level. The curriculum for the M-stream is designed for students with knowledge in mathematics at an advanced level corresponding to a three-year Bachelor's degree programme; knowledge in statistics is not assumed. Specialized courses are offered for both the streams in the second year of the programme.
6.3.4. Eligibility (S-stream and M-stream). Three year Bachelor's degree with Mathematics and Statistics as full subjects. Those without Statistics may be considered for admission if they have outstanding ability in Mathematics.
6.3.5.  Selection Tests. For admission to the first year of the M.Stat. programme the following tests are given:

6.3.6. Direct admission to Second year Students who have successfully completed the Statistician's Diploma/ Senior Diploma in Statistics of the Indian Statistical Institute are eligible to apply for admission to the second year of the M.Stat. Programme.
6.3.7 Course Structure A student has to take five courses in each of the four semesters in the M.Stat. programme.

The first year curriculum has been devised separately for the following three groups of students, in accordance with their respective academic backgrounds.

A. For S-stream students with B.Stat.(Hons.) degree of I.S.I.
Semester I: Probability Theory, Regression Techniques, Multivariate Statistical Methods, Elements of Statistical Decision Theory and Inference and one elective course chosen from (i) Complex Analysis, (ii) Random-effects Models and Analysis of Discrete Data.
Semester II: Applied Stochastic Processes, Large-sample Statistical Methods, Time-series Analysis, and two elective courses chosen from (I) Partial Differential Equations, (ii) Abstract Algebra, (iii) Sample Surveys and Design of Experiments, (iv) Optimization Techniques, (v) Introduction to Economic Theory.
B. For other S-stream students
Semester I: Probability Theory and its Applications, Linear Algebra and Linear Statistical Models, Topics in Statistical Methods and Inference, Multivariate Statistical Analysis, Mathematical Analysis, and a half-semester non-credit course on Computer Programming.
Semester II: Probability Theory, Large-sample Statistical Methods, Elements of Statistical Decision Theory and Inference, and two elective courses chosen from (i) Complex Analysis, (ii) Sample Surveys and Design of Experiments, (iii) Optimization Techniques, (iv) Time-series Analysis, (v) Regression Techniques, (vi) Introduction to Economic Theory.
C. For M-stream students
Semester I: Probability Theory, Mathematical Analysis, Theory and Methods of Statistics, Linear Algebra and Regression and Correlation, Computational Techniques and Programming, and a half-semester non-credit course on Economic Statistics.
Semester II: Probability Theory, Theory and Methods of Statistics, Applied Stochastic Processes, Linear Statistical Models and Large-sample Statistical Methods, Sample Surveys and Design of Experiments, and a half-semester non-credit course on Demography.

The second year of the M.Stat. programme for all three groups are basically devoted to specialization in a particular field. Depending on the resources available in the Institute and the current demand all or some of the following specialization programmes may be offered in a particular year.

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6.4. Master of Science (M.S.) in Quantitative Economics
6.4.1. Scope. The Master of Science in Quantitative Economics Course is offered at the Calcutta and Delhi Centres of the Institute. This is an advanced course in Economics and its applications with special emphasis on quantitative methods. On completion of the course, the students would be able to pursue an academic career in Economics or take up responsible positions in various private and public sector organizations.
6.4.2. Duration. The duration of the course is two years.
6.4.3. Eligibility. Three-year Bachelor's degree in Economics/ Mathematics/ Statistics/Physics. Engineering graduates are also eligible.
6.4.4. Method of selection. Selection of candidates will be based on academic record and performance in written tests and interview. The selection tests will comprise objective and/or short-answer questions in  both Economics and Mathematics at the Bachelor's degree level.
6.4.5. Course Structure. There will be 10 compulsory courses and 10 optional courses. The compulsory courses, along with their sequencing over the semester are as follows:

Semester I:

Semester I:
1. Econometric Applications I
2-5: Any four of the courses from the list of optional courses:

Semester II:
1-5: Any five of the courses from the list of optional courses.
List of Optional courses

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6.5. Master of Technology (M.Tech.) in Computer Science

6.5.1. Scope. The Master of Technology in Computer Science course is offered in Calcutta. The course is designed to provide a balanced mixture of theoretical and professional training in Computer Science and Technology so that the students, on successful completion of the course, may take up either (a) a professional career in the technology of software for computer systems or specialized application areas, or (b) an academic career for further study and research in the fundamental and applied aspects of Computer Science and Technology and related disciplines.
6.5.2. Duration. The duration of the course is two years inclusive of the period of practical training at the end of the first year of the course and the period of work on dissertation at the end the second year.
6.5.3. Eligibility. A candidate seeking admission to this course should (a) have knowledge of mathematics at the graduate level, and (b) possess one of the following minimum academic qualifications: (i) a Master's degree in Mathematics/Statistics/ Physics/ Electronic Sciences/ Computer Science/ Computer Applications/Business Administration, or (ii) a Bachelor's degree in Engineering/Technology, or any other qualification considered equivalent (such as AMIE, GRAD-IETE).
Method of selection. All candidates are admitted through an all-India selection test and an interview. A few candidates may be sponsored by government, semi-government, public sector undertakings and autonomous institutions but such candidates also will be admitted through the selection test; the Institute at its discretion may apply a different criterion for such candidates. A candidate would be considered sponsored only if he/she is given leave and full salary by the employer for the full duration of the course. Sponsored candidates will not receive any stipend and their sponsors will have to pay a tuition fee of Rs. 20,000/- per year.
Selection test will consist of two parts:
(a) An objective and/or short-answer type test in mathematics at the B.Sc.(Pass) level,
(b) An objective and/or short-answer type test comprising:
Group A: A test for all candidates in Mathematics at B.Sc.(Pass) level.
Group B: A test, divided into several sections carrying equal marks, in Mathematics, Statistics and Physics at the M.Sc. level and in Computer Science, Engineering and Technology at B.Tech. level. A student has to answer questions in one of these sections only.
6.5.4. Course Structure. The duration of the Master of Technology in Computer Science course is two years which is divided into four semesters. A student is required to take six courses in each semester, making up a total of twenty-four courses, of which two are accounted for by the dissertation work to be done during the third and fourth semesters. In addition, a student has to undergo, after successful completion of course work in the first and second semesters, a compulsory practical training of about eight weeks in a research institute or a public/private sector organization under the guidance of an assigned supervisor in that institute/ organization.
Further, a student may undergo extra non-credit courses, at most one per semester, either recommended by the faculty or in his/her own interest.
The courses of study in various semesters are as follows.

Semester I 1.0 Introduction to Computer Programming (half-semester, non-credit).
1.1 and 1.2 Two from the following List A courses as advised by the faculty depending on the background of the student:
List A. Switching Theory and Logic Design, Computer Organization, Discrete Mathematics I, Algebraic Structures, Probability and Statistics.
1.3 Programming Techniques and Data Structures, 1.4 Programming in an Assembly Language and Systems Programming (Assemblers, Macro Processors and Loaders), 1.5 Discrete Mathematics II: Combinatorics, Graph Theory and Logic, 1.6 Numerical Analysis.
Semester II
2.1 File Structures and File Processing, 2.2 Principles of Programming Languages, 2.3 Design and Analysis of Algorithms, 2.4 Computer Architecture, 2.5 Operating Systems, 2.6 Theory of Automata, Languages, Computability and Complexity.

Semester III
3.1 Compiler Construction, 3.2 Data Base Management Systems, 3.3 Software Engineering 3.4 and 3.5: Two from the following List B courses as advised by the faculty depending on the background of the student: 3.6 Dissertation (to be continued through the fourth semester).
List B. Computer Networks and Distribute Computing; Artificial Intelligence and Expert Systems; Computer Graphics; Cryptology and Data Security; Topics in Algorithmic Graph Theory and Discrete Optimization; Statistical Computing, Simulation and Modelling.
Semester IV
4.1 to 4.5: Five electives to be selected from List C given below.
4.6: Dissertation (continued from the third semester)
List C

1.  Topics in Theory of Programming Languages and Methodology.
2.  Advanced Topics in Design and Analysis of Algorithms.
3.  Advanced Topics in Theory of Computation.
4.  Formal Logic with Applications to Computer Science.
5.  Multi-dimensional Searching and Computational Geometry.
6.  Advanced Topics in Compiling.
7.  Advanced Topics in Operating Systems.
8.  Advance Topics in Data base Theory and Applications.
9.  Parallel Processing: Architectures and Algorithms.
10.  Fault-tolerant Computing.
11.  VLSI Design and Algorithms.
12.  Pattern Recognition and Machine Learning.
13.  Image Processing.
14.  Computer Vision.
15.  Digital Signal Processing.
16.  Robotics.
17.  Data Analysis for Remote Sensing.
18.  Logic Programming.
19.  Advanced Topics in Numerical Analysis.
20.  Statistical Methods
21.  Topics in Operations Research Methods.
22.  Optimization Techniques.
23.  Management Information Systems and Decision Support Systems.
24.  Stochastic Processes with Applications to Computer Science.
25.  Information and Coding Theory.
26.  Fuzzy Logic.
27.  Neural Networks and their Applications.
28.  Selected Topics in Recent Developments in Computer Science & as suggested by the faculty.

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6.6. Master of Technology (M.Tech.) in Quality, Reliability and Operations Research.
6.6.1. Scope. The Master of Technology programme in Quality, Reliability and Operations Research is offered in Calcutta. This programme is designed to produce specialists in theory and practice of quality, reliability and operations research with adequate knowledge of computer programming.
6.6.2. Duration. The duration of the programme is two years.
6.6.3. Eligibility. A candidate seeking admission to this programme should
(i) ordinarily have completed 21 years of age (relaxable in special cases);
(ii) be conversant with the following: mathematics (at the graduate level) and physics and chemistry (at the higher secondary level);
(iii) possess any one of the following minimum academic qualifications:
a. master's degree in Statistics with knowledge in the areas of SQC & OR.
b. Bachelor's Degree in Engineering or Technology, or any other qualification considered equivalent.
c. Post-Graduate Diploma/Part-time Post-Graduate Diploma in SQC & OR from the Indian Statistical Institute. The programme is offered in two streams: Statistics stream and Engineering stream. The candidates with qualifications as in (iii) a or (iii) c above are given a selection test in Statistics and Probability with emphasis on SQC and OR and offered admission, if selected, to the first year of the course in the Statistics stream. The candidates with Bachelor's/equivalent degree in Engineering or Technology as in (iii) b above are given a selection test in Mathematics and Engineering and offered admission, if selected to the first year of the course in the Engineering stream.
Method of selection. All candidates, including sponsored ones, are admitted through a selection test. For admission to this course, valid GATE score is not necessary and the candidates with valid GATE score are also admitted through the selection test. There is a provision for sponsorship by the government, semi-government, public sector undertakings and autonomous institutions. The Institute, at its discretion, may apply a different criterion for such candidates. A candidate would be considered sponsored only if he/she is given leave and full salary by the employer for the full duration of the programme. Sponsored candidates will not receive any stipend and their sponsors will have to pay a tuition fee of Rs. 20, 000/- per year.
Selection test will consist of two parts:
(a) An objective and/or short-answer type test in mathematics at the B.Sc.(Pass) level.
(b)An objective and/or short-answer type test for the two streams as follows:
Part I (for Statistics stream): A test divided into four sections carrying equal marks in Statistics, Probability, SQC and OR. A student has to answer questions from all four sections.
Part II (for Engineering stream): A test divided into several sections carrying equal marks, in Mathematics, Engineering, Mechanics, Electrical Sciences, Thermodynamics, Mechanical Properties of Metals, Engineering Drawing etc. A student has to compulsorily answer Mathematics section and any three of the remaining sections.
6.6.4. Course structure. The following courses are offered in the first year.
(a) For the Statistics stream : (i) Engineering and Technology I and II, (ii) Engineering and Technology III and IV, (iii) Workshop I and II, (iv) Industrial Engineering and Industrial Management, and (v) Industrial Economics and OR II.
(b)  For the Engineering stream : (i) Probability I & II, (ii) Statistical Methods I & II, (iii) OR I & II, (iv) Basic Mathematics & SQC I and (v) Industrial Engineering & Industrial Management. Both the streams have a non-credit course in Computer Programming. The following courses are offered during the second year for both the streams (i) Applied Stochastic Processes & OR III, (ii) Computer Software : Systems and Applications & Data Base Management, (iii) Industrial Experimentation and advanced Statistical Methods & Quality Assurance and SQC II and (iv) Reliability I or Advanced Optimization (in case Reliability is already covered) and Reliability II.
In addition, during the first year, students have to undergo factory training and during the second year, they have to work on projects and dissertations.
A student will be allowed to take a semestral examination only if he/she attends atleast 75% of all classes in the semester and his/her character and conduct are satisfactory.
The final result of a student is decided on the basis of his/her performance in all the courses, projects, factory training and dissertation. If a student fails in the course work or project work during first year, he/she is not allowed to undergo factory training and is asked to discontinue the programme. If a student fails in the course work or project work in the second year, he/she may, at the discretion of the teachers' committee, be allowed to appear at supplementary examinations or given additional projects and assignments to make up for the deficiency. Only after successful completion of these, he/she is allowed to work for the dissertation.
A student passing the M.Tech.(QROR) is placed in the First Division with Distinction, First Division or Second Division depending on his/her performance.

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6.7.  Part-time Certificate/Diploma Course in Statistical Quality Control and Operations Research at Mumbai and Chennai (This course is not being offered in Mumbai in the academic Year 2000-2001)
6.7.1. Scope. The programme is offered at Mumbai and Chennai. The aim of the course is to offer instruction in theory and practice of SQC and OR mainly to candidates who are already engaged in statistical work in their organizations.
6.7.2. Duration. The course extends over a period of two years. On successful completion of the first year, a certificate entitled "Certificate in the Elements of SQC and OR" is awarded. A candidate with the above certificate is eligible for admission to the second year. The Diploma is awarded on successful completion of the second year.
Classes are usually held on 4 to 5 days a week. Each day, there are two periods of one hour each, starting at 1800 hours. Classes are held in the premises of the QM and OR Unit, Indian Statistical Institute, Central Govt. Offices Building, 101 Maharshi Karve Road, Mumbai 400 020 and SQC & OR Unit, Indian Statistical Institute, 110 Nelson Manickam Road, Aminjikarai, Chennai 600 029.
6.7.3. Eligibility :  Admission to First year : Candidates who have experience of at least one year in a supervisory capacity and are sponsored or recommended by their organizations are considered, provided they have one of the following qualifications :
(i) B.E, B.Tech., or an equivalent degree.
(ii) M.A., M.Sc., or equivalent degree with Statistics or Mathematics at graduate.
(iii) Recognized research or other equivalent works in Statistics.
(iv) M.Stat. degree of the Indian Statistical Institute.
Admission to Second Year : A candidate who has successfully completed the first year is eligible for admission to the second year, with option to specialize either in SQC or in OR, subject to availability of such specialization. Candidates seeking admission immediately after and in continuation of the first year would be admitted directly, and candidates seeking admission after a time gap should qualify in a written admission test.
A candidate seeking admission to the course should ordinarily be below 35 years of age.
Method of selection. Selection to the course is strictly based on merit as judged by academic record and performance in selection test and interview. Applications in the prescribed form should be addressed to the Executive-in-Charge of the SQC & OR Unit where the candidate intends to study. A fee of Rs. 3000/- per year is charged for the course.

6.7.4. Course structure.
 

The course covers the following subjects of instruction:
The course comprises lectures, practical work, assisted reading, home tasks, tutorials, seminars and live project work. The candidates will also be required to take up project studies in their own organizations for which approval from the competent authorities in the respective organizations should be obtained while applying for admission. The project work will be carried out during their normal working hours under the guidance of the faculty. A student who fails in any year is given one chance to repeat that year.

6.8. Certificate/Diploma in Computer Programming and Applications
6.8.1. Scope. These courses are designed to produce operator/programmer of computer system particularly for microprocessor based indigenous systems. The courses are offered at Calcutta.
6.8.2. Duration. The duration is one year for the certificate course and an additional one year for the diploma course. Classes are held during 1000-1800 hours but practical sessions may be held in the morning or evening hours also.
6.8.3. Eligibility. Admission is at first to the certificate course. A candidate seeking admission to the course must have obtained three years B.A/ B.Sc. degree with Mathematics as one of the subjects. Those who attain a specific standard in the certificate course are offered admission to the second year of the programme leading to the diploma.
6.8.4. Course structure. The certificate course covers Discrete Mathematics, Programming Fundamentals, Statistics and Numerical Analysis, Digital Computer Fundamentals, System Software, use of different Software Packages and Networking Utilities. The diploma course covers System Softwares, BASIC, COBOL, C and Data Structures, DBMS. admitted to the course has to pay a fee of Rs. 1500/- half yearly. Fees once paid cannot be refunded. No stipends are awarded but there may be opportunity for the students to earn while they learn.

6.9. Associateship in Documentation and Information Science
6.9.1. Scope. The course is offered in Bangalore. It gives comprehensive instruction in the theory and practice of documentation and information science. The project work, colloquia and seminars are designed to develop in the student the capacity for systematic thinking and exposition.
6.9.2. Duration. The duration of the course is twenty-four months.
6.9.3. Eligibility. The minimum qualification for admission to the course is
(i) a post-graduate Bachelor's degree in Library Science, or
(ii) a second class Master's degree in any subject and at least two years' library/ documentation/ information handling experience, or
(iii) a four-year plus degree, such as B.E. and M.B.B.S. and at least two years' library/documentation/information handling experience.
6.9.4. Course structure. The curriculum consists of a formal residential course for one year followed by a research project. No tuition fees are charged. A stipend of Rs. 1000/- per month and an annual contingency grant of Rs. 1250/- may be granted to deserving students.
The course covers the following subjects : (i) Foundation of Information Science; (ii) Information Sources and Communication Media; (iii) Information Systems and Programmes; (iv) Information Processing and Organization; (v) Information Transfer and Dissemination; (vi) Information Technology and Systems Design; (vii) Information Centre/System Planning and Management; and one elective subject from :
(a) Industrial Information Service; (b) Information Systems for R & D; (c) Information Systems for Planning; (d) Management Information Systems (e) Health Science Information Systems and Services; (f) Environmental Information Systems and Services; and (g) Social Sciences Information Systems and Services.
In addition, a student has to participate in project work and write a dissertation on an assigned topic and attend supporting courses on relevant selections from :
Research Methodology, Statistical Methods, Operations Research and Systems Analysis, Linguistics, Communication and Technical Writing.

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6.10. One Year Part-time Course in Statistical Methods and Applications
6.10.1. Scope. The course is intended to provide basic training in statistical methods and their applications in different fields. It is designed to satisfy the requirements of persons who are to take up statistical responsibilities in government departments and scientific, industrial, commercial and other organizations. The course is offered in Calcutta, Delhi and Hyderabad. But it is not offered at a centre in a session unless at least 10 selected candidates are enrolled for it.
6.10.2. Duration and class hours. The duration of the course is one year. Classes are held either in the evenings, four days a week or during Saturdays and Sundays for a total of 8 hours per week.
6.10.3. Eligibility. A candidate seeking admission to the One Year Part-time Course must have one of the following :
(i) a Bachelor's degree with mathematics;
(ii) a Bachelor's degree/Diploma in Engineering/Technology with knowledge of Mathematics at B.Sc. (Pass) level.
6.10.4. Course structure. The present curriculum has eight courses, of which five are compulsory courses in statistics and the other three are specialization courses chosen from : SQC and OR, Economic Statistics, Computer Programming, Survey Methodology and Demography. A fee of Rs. 400/- is charged for the course.

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6.11. Part-time Course in Statistical Quality Control
6.11.1. Scope. This course is intended to provide intensive training in the theory and practice of SQC. Emphasis is on equipping the students with the basic practical skills in SQC approach with sufficient theory to understand the principles involved and to develop in them the power of systematic thinking, practical approach and exposition.
The course is offered in Bangalore and Hyderabad. But it is not offered at a centre in a session unless at least 10 selected candidates are enrolled for it.
6.11.2. Duration. The course is held twice a year and extends over a period of 6 months : January-June and July-December. Classes are usually held on five days a week in two sessions of one hour each commencing at 1800 hours.
6.11.3. Eligibility. Admission is restricted to persons working in industrial, commercial or scientific organizations and sponsored by their organizations. Minimum educational qualifications are any one of the following :
(i) Diploma in any branch of Engineering or Technology from a recognized institution.
(ii) Bachelor's degree (with mathematics at the pre-university or equivalent level) from a recognized university or institution. Candidates should normally be under 35 years of age. Candidates should possess a minimum of one year's working experience in industrial, commercial or scientific organization. The sponsoring organizations must ensure
(i) that their candidates will attend at least 75% of the classes,
(ii) adequate opportunities for the candidates to carry out the project work on some problem of interest to them,
(iii) facilities -- such as transport --- to the SQC and OR Unit for supervising the project work.
6.11.4. Course structure. The course comprises lectures, practical exercises, assigned reading, home tasks, tutorials, seminars, group discussions and project studies on Statistical Methods and SQC Technique. Project work runs concurrently outside the class hours in the candidate's own organization.
A fee of Rs. 1500/- is charged.
The course is under review.

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6.12. Intensive Course in Programming and Application of Electronic Computers
6.12.1. Scope. The objective of this course is to impart a thorough knowledge of systems and programming work in connection with the use of electronic digital computers. It is a full-time course comprising lectures, demonstrations, directed reading and practical assignments. The training is of a general nature and not restricted to the particular system of machines available in the Institute. The course is offered in Calcutta, subject to availability of facilities.
6.12.2. Duration and class hours. The duration of the course is 10 weeks. Classes are ordinarily held during the day between 1000 and 1700 hours. Depending on availability of the computer system, practical classes may be held at any time between 0700 and 2200 hours. The course is usually conducted during October-December.
6.12.3. Eligibility. Persons who have a good academic record, preferably with knowledge of mathematics up to the graduate level, and are currently engaged in research and/or related activities are eligible for admission to the course.
6.12.4. Course structure. The course covers Fundamentals of Digital Electronic Computers, Conventional Computing Equipment and Programming in a High Level Language. The course structure is under review.
A course fee of Rs. 1500/- is charged.

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6.13. Junior/Senior Research Fellowships
6.13.1. Junior/Senior Research Fellowships in Statistics, Mathematics and Economics. The Institute offers Junior Research Fellowships to candidates with good academic record in Theoretical and Applied Statistics, Mathematics, Economics and Computer Science. Candidates are admitted to the Research Courses on successful completion of which they are eligible to register for the Ph.D. degree of the Indian Statistical Institute under supervisors approved by the Institute. At the end of the second year, the Junior Research Fellows are assessed for the award of Senior Research Fellowships. The combined duration of the Junior and Senior Research Fellowships is four and a half years.
6.13.2. Eligibility for admission to Research Courses. A candidate seeking admission to the Research Courses should have either (i) a good academic record with M.A./M.Sc. degree in Statistics, Mathematics, Economics/ Econometrics or, (ii) outstanding mathematical maturity with B.A./B.Sc. degree with Statistics, Mathematics or Economics as the main subject.
A candidate possessing a Master's degree in Sociology with Mathematics/Statistics and Economics at least at B.A./B.Sc. (Pass) degree level may be considered for admission to research programmes in the area of Economics.

6.13.3 Research Interests in Statistics, Mathematics and Economics

Research Interests in Statistics. Asymptotic theory in Statistics, Large Deviations, Decision Theory, Statistical Inference, Bayesian Analysis, Non-parametric and Semi-parametric Inference, Resampling Plans, Sequential Analysis, Multivariate Analysis, Multivariate Parametric/non-parametric Regression Techniques, Robustness, Discrete Multivariate and Categorical Data Analysis, Linear Models, Regression Diagnostics, Exploratory Data Analysis, Parametric/non-parametric Discriminant Analysis, Environmental Data Analysis, Constructional and Combinatorial aspects of Designs, Optimal Designs, Sampling Theory ad Surveys, Ranking and Selection Problems.
Stochastic Processes, Markov Processes, Stochastic Models, Limit Theorems in Probability, Finitely Additive Probability, Stochastic Majorization, Probability Inequalities, Characterization of Distributions.
Applications of Statistics in Geology, Molecular Biology, Human Genetics, Social Sciences and Industrial (Quality) Engineering; Statistical Computation, Crypt Analysis, Image Analysis, Brain Modelling, Bio-statistics, HIV/AIDS Modelling.
Research Interests in Mathematics : Functional Analysis, Geometry of Banach Spaces, General and Algebraic Topology, Differential Topology, Symplectic topology,Transformation Groups, Harmonic Analysis, Ergodic Theory, Commutative Algebra, Combinatorics, Graph Theory and Applications to Social Sciences, Descriptive Set Theory, Discrete Mathmatics and Theoretical Computer Science (For details see 6.13.4)
Economics : Economic Theory (Micro and Macro Theories of Production and Distribution, International Trade, Welfare Economics, Industrial Organization and General Equilibrium Theory), National Income Analysis, Development Economics, Time Series Econometrics (Modeling with Financial Variables, Autoregressive Conditional Heteroscedastic Models, Cointegration and Copersistence), Econometric Applications (Analysis of Income and other Size Distributions, Measurements of Inequality, Concentration Poverty, Deprivation and Level of Living), Indian Economic Problems, History of Economic Thought, Agricultural Economics, Environmental Economics.

Statistics and Mathematics : Design and Analysis of Experiments, Linear Statistical Models (related problems of linear algebra including generalized inverse of matrices), Multivariate Statistical Analysis, Asymptotic Statistical Theory, Stochastic Processes (theory and applications), Inference in Stochastic Processes, Stochastic Differential Equations, Stochastic Orderings, Stochastic Control Theory, Quantum Probability and Irreversible Processes, Perturbation of Linear Operators, Game Theory, Univalent Mappings Theory, Optimization, Mathematical Programming, Statistical Theory of Reliability and Inference, Nonnegative Matrices, White Noise Theory, Non-linear Filtering, Percolation Theory, Nonparametric Inference, Survival Analysis, Partial Differential Equations and Operators and Spectral Theory.
Economics : Economic Theory (General and Non-Walrasian Equilibrium, Monetary, Production and Distribution Theories), Economic Policy, Decentralization Mechanisms, Input-Output Models, Econometrics and Demand Analysis, Income Distribution, Microeconometrics. Theory of Incentives and Public Goods, Trade and Development, Rural Industries, Agricultural Growth, Theory of Games and its Applications to Socio-Economic Problems, Corporate Finance, Environmental Economics and Political Economy, Macroeconomic Theory, Growth Economics, Public Economics, Industrial Organization, Empirical Industrial Organization, International Trade, Open Economy Macroeconomics, Economics of the Public Sector, Capital Markets, Development Economics, Fiscal Federation.

Statistics and Mathematics : Optimal Designs : Construction and Combinatorial Aspects, Information Theory, Probability Theory on Infinite Dimensional Vector Spaces, Diffusion Processes, Borel Spaces, Finitely Additive Measure Theory, Generalized inverse of Matrices, Sample Surveys, Large Sample Theory, Bayesian Inference, Reliability Theory, Functional Analysis, Geometry of Banach Spaces, Operator Algebras, Operator Theory, Harmonic Analysis on semi-simple Lie Groups and the Heisenberg group. Combinatorics, Simple Group Theory, their representations and the associated geometries and the non associative algebras, Differential Geometry, Partial Differential Operators.
Economics : Agricultural Economics, Computable General Equilibrium Models, Bayesian Analysis, Macroeconomic Models, Poverty Analysis, Econometric Applications.
6.13.4. Junior/Senior Research Fellowships in other fields. The Institute also offers Junior/Senior Research Fellowships in several areas of Natural Sciences, Social Sciences and Computer Science. However, candidates whose area of research does not use sufficient knowledge of current statistical theory and/or practice, normally register with other Universities/Institutes for their Ph.D. The areas in which the Institute wants to recruit fellows in 2000 in Calcutta and the respective eligibility conditions are as follows.
(a) Computer and Communication Sciences : Algorithms and Computational Complexity, Programming Languages and Methodology, Artificial Intelligence, Computer Communication Network, Parallel Algorithms and Parallel Architectures, Mobile Computing Testable Design, VLSI, Computational Geometry, Fault Tolerance, Graph Theory, Remote Sensing, Computer Vision, Cybernetics, Fuzzy Sets and Systems, Quantification of uncertainty, Fuzzy Control, Image Processing, Image and Document Analysis, Pattern Recognition, Speech and Signal Processing, Artificial Neural Nets, Neuro-Fuzzy Systems, Rough Sets, Soft Computing Mathematical Morphology, Genetic Algorithms, Fractals, Wavelets, Atmospheric Science, Digital Communication, Natural Language Processing, Evolutionary Algorithms, Chaos, Neurodynamics, Data Mining, Artificial Immune System, Case Based Reasoning and Digital Water Marking.
Eligibility : A good academic record with M.E./M.Tech. or equivalent degree in Electronics/Computer Science/Electrical Engineering or a good academic record with M.Sc./M.C.A./M.A. or equivalent degree in Physics/ Mathematics/ Statistics/ Electronic Sciences/ Computer Science.
Outstanding candidates holding the B.E., B.Tech. or equivalent degree in the above subjects will also be eligible.
(b) Discrete Mathematics and Theoretical Computer Science : Design and Analysis of Algorithms, Algorithmic Graph Theory and Combinatorial Optimization, Automata and Formal Languages, Computational Complexity, Cryptology, Coding Theory, Information Theory, Quantum Computing, Logic and Computer Science.
Eligibility : Same formal qualification as in Computer and Communication Sciences, with a strong background in Mathematics.
(c) Physics and Applied Mathematics : High Energy Physics, Astro-particle Physics, Superfluidity, Pattern Formation, Hydrodynamic Stability, Water Waves.
Eligibility : M.Sc. in Physics/Mathematics/Statistics.
(d) Geology : Sedimentology and Stratigraphy/Structural Geology and Tectonics.
Eligibility : M.Sc. or equivalent degree in Geological Sciences. Should have adequate exposure in Geological field work.
(e) Biochemistry : Human Pupilloma Virus, Human Uterine Cervix Cancer, and other Molecular Determinants.
Eligibility : M.Sc. in Biochemistry/Biophysics/ Life Science/ Zoology, Biotechnology/ Human Biology/ Human Genetics/ Anthropology (Physical or Biological).
(f) Anthropology : Biocultural dimensions of health.
Eligibility : M.Sc. in Anthropology with specialization in Physical/ Biological Anthropology.
(g) Psychology} : Organizational Psychology, Educational Psychology and Personality.
Eligibility : M.A./ M.Sc. in Psychology.
(j) Demography : Development of Demographic Techniques and their Applications.
Eligibility : Master's degree in Statistics/ Demography/ Population Studies/ Population Science.
The Institute also wants to recruit fellows in 2000 in Bangalore Centre in the following area:
Library and Information Science (in Bangalore Centre).
Eligibility : Associateship in Documentation and Information Science of ISI or INSDOC or Master's degree in Library and Information Science.
Method of selection : Selection of candidates is strictly based on merit as judged by academic record, performance in selection tests and interviews.
It is not necessary to qualify at the UGC/CSIR test for award of fellowship. However, the candidates who have been awarded fellowship by the CSIR/NBHM test can seek an interview any time of the year and are admitted as CSIR/NBHM fellows working at ISI on the basis of the interview.

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6.14. Specialist Development Programme (SDP) in statistical Quality Control and Operations Research
6.14.1. Scope. The programme is intended to develop professionally competent specialists in Quality Control and Operations Research and to provide careers as successful practitioners in the field through on-the-job training and guided development. The programme is offered at the SQC & OR Units of the Institute in Bangalore, Baroda, Mumbai, Calcutta, Coimbatore, Delhi, Hyderabad, Chennai and Pune.
6.14.2. Duration. The duration of the programme is two years. The programme generally starts in January every year.
6.14.3. Eligibility. Candidates with (a) consistently good academic record with (i) a first class or high second class Master's degree, or equivalent qualification in a relevant subject, or (ii) a good technological degree, and (b) Diploma in SQC & OR of the Indian Statistical Institute or at least one year's specialized post-graduate training in the field of SQC & OR in Industry with adequate applied work evidenced from certified project reports, are eligible. Both (a) and (b) are essential.
Holders of M.Tech.(QROR) degree of the Indian Statistical Institute may be admitted to the second year of the SDP.
Method of selection. All candidates are admitted through a selection test and an interview.
6.14.4. Programme structure. The participants are given specific field assignments involving consultation, training, applied research etc. including responsibilities for independent projects, involving organization and development of QC systems. The programme consists of on-the-job training together with occasional refresher and development courses on various topics of importance to the profession.
6.14.5. Progress appraisals. The progress of the participants is appraised from time to time both by their immediate supervisors and expert panels. At the end of first year an annual evaluation and appraisal on the progress is done by expert teams. If the progress is found satisfactory the participant is promoted to the second year, otherwise the fellowship is terminated with immediate effect.
For further details of the programme the intending candidates should write to the Head, SQC and OR Unit, Indian Statistical Institute, 203 B.T. Road, Calcutta 700 035.

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6.15. Courses of the International Statistical Educations Centre (ISEC)
The International Statistical Education Centre (ISEC) is operated jointly by the International Statistical Institute and the Indian Statistical Institute under the auspices of the UNESCO and the Government of India. The main purpose of the Centre is to train selected officials, teachers and research workers from countries of the Middle-East, South and South-East Asia and the Far-East and from the Commonwealth countries of Africa. Training is imparted in theoretical statistics and various aspects of applied statistics. A 10-month regular course leading to Statistical Training Diploma is held from June every year. In addition, special courses of varying durations are sometimes organized in a particular field for individuals/small groups of individuals. Facilities are also available for advanced study and research work by senior statisticians from abroad.
The courses are open to Government-sponsored candidates only. Further information regarding this course may be obtained from Member-Secretary, Board of Directors, ISEC, Indian Statistical Institute, 203 B.T. Road, Calcutta 700 035.

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6.16. Central Statistical Organization (CSO) Courses
These courses are organized by the Central Statistical Organization (CSO) of the Government of India, jointly with the Indian Statistical Institute, and are designed to equip statistical officers and probationers of the Indian Statistical Service with advanced methods and to enable them to undertake higher responsibilities in their departments.
Further information regarding the courses may be obtained from Director General, Central Statistical Organization, Sardar Patel Bhavan, Sansad Marg, New Delhi 110 001.

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6.17. Professional Examinations
The Indian Statistical Institute holds examinations to test proficiency of candidates in the theory and practice of analysis of statistical data, for the award of the following diplomas :
(i) Junior Diploma in Statistics
(ii) Senior Diploma in Statistics.
These examinations are separate from and independent of the examinations held for the award of degrees, diplomas and certificates on the basis of training given in the Institute. The Government of India recognizes the Senior Diploma in Statistics as equivalent to a Master's degree in Statistics and the Junior Diploma in Statistics as equivalent to a Bachelor's degree in Statistics for employment purposes.
These examinations are held at least once a year; but if the number of candidates expected to appear justifies it, the Examinations Committee may hold any or all the examinations twice a year. Such examinations are held usually in or about the months of May and November, currently at seven centres-Bangalore, Mumbai, Calcutta, Delhi, Hyderabad, Lucknow and Chennai.
Further information regarding these examinations may be obtained from Secretary, Examinations Committee, Indian Statistical Institute, 203 B.T. Road, Calcutta 700 035.

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6.18. Doctoral Awards
Doctor of Philosophy (Ph.D.)
The degree of Doctor of Philosophy is awarded to a candidate for original contributions in a chosen field of research in theoretical or applied statistics. For this purpose, it is necessary for an applicant to register himself/herself as a candidate for this degree and subsequently to submit a thesis embodying the research work done by him/her for evaluation by a panel of examiners. In exceptional circumstances, a candidate may submit his/her published work.
Eligibility for registration as candidate for the Ph.D. degree If a candidate satisfies one of the following four conditions then the Ph.D.-D.Sc. Committee may, at its discretion, allow such a candidate to register for the Ph.D. degree.
(i) The candidate has successfully completed M.Stat., M.Tech. in Computer Science or the post-graduate diploma course or Two/Three-year Advanced Statistician's Course of the Indian Statistical Institute.
(ii) The candidate has successfully completed one of the research courses of the Institute.
(iii) The candidate is a worker of the Institute engaged in research involving the use of Statistics for at least three years and possesses at least a Bachelor's degree from a recognized university and who, in the opinion of the Ph.D.-D.Sc. Committee, possesses sufficient knowledge of current statistical theory and practice.
(iv) The candidate has either a Master's degree in a relevant subject of any Indian University or the Statistician's Diploma/Senior Diploma in Statistics of the Institute and has been engaged in research in a recognized research organization for at least three years, provided he/she spends at least one year at the Institute under a specified supervisor. At the discretion of the Ph.D.-D.Sc. Committee, the residence requirement may be reduced in exceptional cases by a period not exceeding six months. Five-year technological and medical degrees are considered equivalent to Master's degree. However, four-year technological and medical degree candidates, with sufficient training and/or published research work in Statistics and allied fields, may also be considered equivalent to Master's degree holders.
The Ph.D.-D.Sc. Committee, before allowing registration, may recommend that such a candidate be admitted to a research organization to do research work under a specific supervisor who will sponsor the candidate's registration as and when he thinks that the candidate has shown sufficient ability to proceed with his work for a thesis.
A candidate should apply for registration in the prescribed form (in duplicate).
Doctor of Science (D.Sc.)
This is an award for outstanding published work.
Eligibility : The D.Sc. degree is awarded only in exceptional cases on the basis of outstanding published work. Only those who satisfy one of the following requirements are considered for the award.
B.Stat.(Hons.) degree or the Statistician's diploma of the Indian Statistical Institute and at least eight years of independent research work in Statistics.
Or, M.Stat. degree or Certificate of successful completion of the Two/Three-year Advanced Statistician's Course of the Indian Statistical Institute and at least four years of independent research.
Or, Ph.D. degree of the Indian Statistical Institute and at least two years of subsequent research.
Or, at least eight years of research work in the field of Statistics after the Bachelor's degree of a recognized university or institute of which at least one year of work must be at the Indian Statistical Institute.
All correspondence regarding registration and other matters connected with Ph.D. and D.Sc. degrees may be addressed to Convener, Ph.D.-D.Sc. Committee, Indian Statistical Institute, 203 B.T. Road, Calcutta 700 035.

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6.19. Research Associateship
The Institute recruits Research Associates from time to time, for its different Divisions/Units. This is done based on the availability of bright post-doctoral fellows having potentiality for being absorbed as lecturers in the Division/Unit.

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7. Facilities

Among the facilities available in the Institute, following may be mentioned, besides the library and the computer facilities mentioned earlier.

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7.1. Hostel.
The Institute maintains hostels for male and female students in the Institute premises in Calcutta, Delhi and Bangalore. However, it may not be possible to accommodate all degree/diploma students in the hostels. Adequate sports and recreation facilities are made available to the students.
Limited medical facilities are available free of cost at Calcutta, Delhi and Bangalore campuses.
The Institute campus in Calcutta is about 12 km from the city centre; the Bangalore and Delhi campuses are about 20 km from the respective city centres.

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7.2. Placement of students.
Students who have undergone the B.Stat.(Hons.), M.Stat., M.Tech.(C.S.), M.Tech.(QROR) and other degree, diploma/certificate courses of the Institute and those having the Ph.D. degree of the Institute are now well-placed in departments of government, and semi-government departments, public and private sector undertakings, industrial concerns, consultancy agencies, research institutions and establishments of a higher education in India as well as abroad. Most of the students of the Institute get employment offers or admission to some Ph.D. programmes even before they complete the qualifying degree examination.
There is a Placement Committee in Calcutta , which arranges campus interviews by prospective employers.

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8. INSTRUCTIONS FOR FILLING IN THE APPLICATION FORM: (Note : For admission to the M.Tech. in Computer Science, M.Tech. in Quality, Reliability and Operations Research, and Junior Research Fellowship, valid GATE or UGC/CSIR test scores are not necessary. All candidates including those with valid GATE or UGC/CSIR test scores have to take the selection tests.)

1. Applicants are advised to study the prospectus carefully and satisfy themselves that they are eligible for admission to the course/fellowship for which they apply. Those applying for Research Fellowships should carefully read through the Prospectus. If at any stage it is found that a candidate does not satisfy the eligibility conditions or the information furnished in the application is incorrect, the application will be cancelled. Those who have completed or are due to complete the qualifying examination for which results are not yet published, may also apply for admission; if selected, their admission to a course or fellowship will be provisional pending the announcement of results. In such cases, however, their application will be cancelled if the final examinations are not completed before 1 July 2000. This date may be relaxed by the Institute in case of candidates with outstanding academic record and performance in the selection tests and interviews. Candidates with knowledge of only commercial mathematics need not apply.
If a student fails a course of the Institute and is not allowed to repeat it, he/she is not eligible for re-admission to the same course.

2. The application form should be filled in carefully, and legibly. Instructions given below should be strictly followed.

3. Do not write in the space marked " For office use only".

4. Candidates should affix a copy of their recent stamp size photograph, at the top of the application form at the place indicated. Candidates should sign across the photograph at the bottom after it is affixed, so that a part of the signature appears outside the photograph. Please note that, another identical copy of the photograph is to be affixed on the Admit Card, when you receive it.

5. The following relate to specific items in the application form :
5.1. Items 1 and 2. Leave one box blank between words. The address to which you want letters to be sent is to be written here in BLOCK LETTERS. This address should also be written legibly in BLOCK LETTERS on the 10''x 4''$ envelope provided without affixing any stamp and this envelope is to be sent along with the application form duly filled in. The admit card for the selection tests will be sent in this.
5.2. Item 3. Choose the course (or fellowship) you want to apply for and write the corresponding code (see the table below) in the boxes provided. Selection tests for the courses/fellowships will be held on the same day. In view of this, candidates are advised to send only one application for the session 2000-2001. However, if a candidate is interested in being considered for more than one course/fellowship then he/she should indicate them in Item 3 in the application form in order of preference. The tests to be taken by a candidate will be decided based on his/her first preference and will be indicated on the admit card to be sent to him/her. Candidates selected for M.Stat., M.S.(QE) and Junior Research Fellowships may be asked to join at a place other than the one opted for, if necessary.
 

5.3. Item 4. Choose the examination centre where you want to appear for the selection test and write the corresponding code (see the table below) in the boxes provided. Selection tests for admission will be conducted at the centres given in the following table. However, if sufficiently many candidates do not opt for a centre, the selection tests may not be held at that centre; candidates should name three centres in their order of preference.
 
 

5.4. Items 6-9. Choose the alternative, which applies to you and put a cross (X) in the box provided.

5.5 Item 14(a). It is most important to fill in this block accurately and completely. Do not forget to include details about the qualifying examination, which you have completed or are due to complete and for which results are not yet published. If you had Mathematics or Statistics as a full subject of study at any stage, be sure to indicate it in the column marked "subjects". Do not send any original documents or copies with the application.

6. Submission of application :
6.1. An envelope is enclosed with the application form. The applicant should write his/her address legibly in BLOCK LETTERS on THIS ENVELOPE. Postal stamps need not be affixed. The Admit Card and sample questions will be sent in this envelope.
6.2. An Acknowledgement Card is also attached with the application form. The applicant should write his address legibly on it and affix to it a Rs. 2/- stamp in the proper place.
6.3. The applicant must send the following documents personally or by registered post with acknowledgement due, to reach us not later than Friday, 31 March 2000 :
(i)   Application form duly filled in
(ii)  Self-addressed envelope ( envelope with applicant's address)
(iii) Self-addressed Acknowledgement Card affixed with a Rs. 2/- stamp.

7. Item 13. For M.Tech. in Computer Science, M.Tech. in Quality, Reliability and Operations Research, Part-time Certificate/Diploma in SQC & OR, and the One Year Part-time Course in Statistical Methods and Applications, there is provision for sponsorship of candidates by their employers. In such cases Item 13 is to be filled in by the candidate and a separate letter in the format given at the end (see sl.no. 13) should be sent by his/her sponsor after consulting the prospectus.

PLEASE NOTE THAT FOR THE PART-TIME CERTIFICATE/DIPLOMA COURSE IN SQC & OR, SPONSORSHIP IS ESSENTIAL.
 

8.Incomplete or illegible applications or those received after the due date will not be considered.

9. Completed applications may be sent to any one of the following addresses by 31 MARCH 2000**.
 

** However, applications for Part-time Certificate/Diploma Course in SQC & OR at Chennai should be sent to Address 1 above and applications for One Year Part-time Course in Statistical Methods and Application at Delhi should be sent to Address 4 above.

10. After the application is received by the Institute, the candidate will be allotted a Registration Number and asked to take the selection tests without verification of his/her eligibility. On the admit card will be marked the list of tests to be taken by the candidate as well as the address of the Admission Test Centre. In all subsequent correspondence, the applicant should quote the Registration Number without which no correspondence will be entertained.

11. Candidates who fail to appear at the selection tests will not be considered for admission. On the basis of the performance in the selection tests and past academic record, a limited number of candidates will be asked to appear at an interview for final selection and verification of their eligibility with reference to original documents.

12. Sample Questions and/or the Syllabi for the Selection Tests, Instructions to the Candidates and the Addresses of the Selection Test Centres are sent to the candidates along with the Admit Card after the applications are processed. The Selection Test is scheduled to be held on Sunday, 14 May 2000. In case you do not receive the admit card by 28 April 2000, please inform the Dean of Studies. In the event of your not receiving the Admit Card by the date of the selection test, please proceed to the Admission Test Centre of your first preference, with any communication you have received from us, such as Acknowledgement Card etc. Please take a recent stamp size photograph with you. You may be allowed to write the Admission Tests in case your name appears in the list of candidates sent to the supervisor of the Centre. The addresses of the supervisors and/or the Selection Test Centres are given separately.

13. Format for sponsorship letter :

      We sponsor the application for Mr./Ms. ........................... for the ........................ course. If selected for admission, the applicant will be available to undergo training for a period of ..................... years (in the evenings if it is an evening course). We will abide by the conditions and rules for sponsored candidates mentioned in the prospectus. A crossed cheque for Rs. .................* in favour of 'Indian Statistical Institute' will be sent positively before the commencement of the course. Further, for the Part-time Certificate/Diploma Course in SQC & OR, facilities will also be given in our organization for carrying out project work during normal working hours under the guidance of the faculty of the Institute.
 

* Please consult the prospectus for the duration, fees and other details for the course concerned. Sponsorship is necessary for Part-time Certificate/Diploma in SQC & OR.

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9. Addresses of Admission Test Centres
Addresses of Admission Test Centres are as follows. Applicants are also advised to check the Admit Card carefully for any last minute changes in the address of their test Centre.
 

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A booklet entitled
 

The price is Rs. 75/-

These questions can be used by Class XI and XII students to test their comprehension and skills in Mathematics and as a help in the process of learning Mathematics. This booklet is not meant to be a guide-book for the admission test. The Institute does not guarantee that solving any or all of these questions will help candidates obtain admission to the B.Stat.(Hons.) or any other course.

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