Academics

Programme Structure: 

The programme offers specializations in :

  1. Bio-Statistics and Data Analysis.
  2. Data Science
  3. Industrial Statistics and Operations Research
  • 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
    April to 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.
Course Title Credits
Probability Distributions 4
Linear Algebra 4
Sampling Theory 4
Mathematical Analysis 4
Statistical Computing 4
Integrated Disaster Management* 0
Total 20

* No credit course.

Course Title Credits
Probability Theory and Applications 4
Linear Models 4
Statistical Inference 4
Stochastic Processes 4
Multivariate Statistics-1 3
Total 19
Course Title Credits
Generic Core Courses
Design of Experiments 4
Multivariate Statistical Analysis-2 4
Computer Intensive Statistical Methods 4
Statistical Learning and Data Mining 4
Internship 4
Total 20
Specialization Core Courses : Bio-Statistics and Data Analysis
Demography and Vital Statistics 3
Survival Analysis 3
Total 6
Specialization Core Courses : Data Science
Statistical Simulation 3
Optimization Techniques 3
Total 6
Specialization Core Courses : Industrial Statistics and Operations Research
Optimization Techniques 3
Time Series Analysis 3
Total 6
Total Credits for Sem III 20 + 6 = 26
Course Title Credits
Generic Core Courses
Statistical Machine Learning 4
Industry Project In Specialization 4
Scientific and Report Writing 2
Seminar 1
Total 11
Specialization : Bio-Statistics and Data Analysis
Statistical Methods in Micro-array Data Analysis 4
Analysis of Clinical Trial Data 4
Statistical Methods for Bio Computing 4
Specialization : Data Science
Statistical Methods for Quality Control 4
Statistical Methods for Bio Computing 4
Big Data Analytics 4
Specialization : Industrial Statistics and Operations Research
Stochastic Models in Finance 4
Statistical Methods for Quality Control 4
Statistical Methods for Reliability 4
Total Required Credits 4
Total Credits for Sem IV 11 + 4 = 15

Note: Theory and practical credits depends upon chosen specialization

  • Depending upon the strength of the students we will be offering specialization in Bio-Statistics and Data Analysis,Data Science, Industrial Statistics and Operations Research.

Specialization

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

Course code Specialization in subject
S1 Bio-Statistics and Data Analysis
S2 Data Science
S3  Industrial Statistics and Operations Research

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:

Course Title Credits
Statistical Methods in Micro-array Data Analysis 4
Analysis of Clinical Trial Data 4
Stochastic Models in Finance 4
Statistical Methods for Reliability 4
Statistical Methods for Bio-computing 4
Statistical Methods for Quality Control 4
Demography and Vital Statistics 4
Optimization Techniques 4
Big Data Analytics 4

Statistics Workshop Enquiry

M.Sc. in Applied Statistics Enquiry