Academics

Programme Structure: 

The programme offers specializations in :

  1. Biostatistics and Data Analysis.
  2. Industrial Statistics and Operation Research
  3. Financial and Actuarial Statistics
  4. Computational Statistics
  • The courses taken in Semester III are based on the choice of specialization and the relevant optional courses offered in that specialization
  • The programme also includes some pre-requisite courses
  • The students will be required to undertake an internship of two months. This is during the month of
    May and June after completion of the first two semesters. The students undertake their Dissertation as part of the programme in Semester IV. Other than the regular credit course, Institute will also conduct some tutorial and workshop training, which will be a non-credit course
    but forms a part of the programme.
Semester I
Sr. No.SubjectCredits
1.Probability and Distribution Theory4
2.Sampling and Estimation Theory4
3.Real Analysis4
4.Statistical and Mathematical Models4
5.Regression Techniques4
 Total20
Semester II
Sr. No.SubjectCredits
1.Statistical Inference4
2.Linear Algebra And Linear Models4
3.Design Of Experiments4
4.Multivariate Analysis4
5.Programming and Statistical Computing (excel minor addon, R, SPSS, SAS, Python)4
6.Internships (Primary/secondary data)2
 Total22
Semester III
Sr. No.SubjectCredits
1.Stochastic Processes and Applications4
2. Statistical Methods for Quality Control4
3.Time Series Analysis3
4.Specialization Course-13
5.Specialization Course-23
6.Specialization Course-33
7.Scientific writing1
 Total21
Semester IV
Sr. No.SubjectCredits
1.Seminar1
2.Data Analytics4
3.Specialization Course-44
4.Specialization Course-54
5.Industry Project In Specialization/ Dissertation 4
 Total17

Note: Theory and practical credits depends upon chosen specialization

  • Depending upon the strength of the students we will be offering specialization in Biostatistics and Data Analysis, Industrial Statistics and Operations Research, Financial and Actuarial Statistics, Computational Statistics.

Credits: 80

Specialization

Students have to choose one of the following specializations in the semester III: 5 courses/specialization

Course codeSpecialization in subject
S1Biostatistics and Data Analysis
S2Industrial Statistics and Operations Research
S3Financial and Actuarial Statistics
S4Computational Statistics

Note: For semester three, students need to choose any five courses per specialization.

The Institutional committee may decide

(i) To offer two modules, where courses from these five modules will be merged or

(ii) To offer module specific courses as optional/elective courses or

(iii) To offer module specific/optional/elective courses as compulsory courses.

List of elective subjects:

 Elective subject
E1Empirical Processes
E2Sequential Analysis
E3Nonparametric Inference
E4Discrete Data Analysis
E5Stochastic Models in Epidemiology
E6Longitudinal Data Analysis
E7Directional Data Analysis
E8Big data analytics
E9Machine learning and AI
E10Machine learning
E11AI and algorithm
The Director of the Institute may introduce additional optional courses on recommendations of the Institutional Committee. The syllabus of the optional courses will be prepared by the concerned teacher and will be flexible to accommodate new developments in that area. Whenever such an optional course is floated, the concerned syllabus will be discussed and approved in the Institutional committee.