| Program Description |
Name of Program: M.Sc. Applied Statistics and Informatics
Program Outcomes (POs)
Graduates of the Applied Statistics and Informatics program will be able to:
1. Have a broad background in applied Statistics and information technology(IT), an appreciation of
how its various sub-disciplines are inter-related, acquire an in-depth knowledge about topics
chosen from those offered through the department,
2. Be familiar with a variety of real life situations where Statistics and IT helps accurately explain the
underlying abstract or physical phenomena and able to recognize and appreciate the connections
between theory and applications;
3. Be computationally, statistically and numerically literate. i.e graduates will: recognize the
importance and value of statistical thinking, training and using computers in analysis large data
generated through various real life systems.
4. Develop the ability to effectively and aptly use techniques from different sub- disciplines in a broad
range of real life problem solving; develop appropriate computer programs (in C, C++, Python etc.)
for analysis complex data.
5. Have the versatility to work effectively in a broad range of companies (including R&D sectors of
financial, pharmaceutical, market research, software development companies, consultancy etc) , or
analytic, scientific, government, financial, health, teaching and other positions or continue for
higher education.
6. Be able to independently read recent statistical and IT related literature including survey articles,
scholarly books, and online sources;
7. Be life-long learners able to independently expand their computational and statistical expertise
when needed, or out of own interest.
8. Exhibit ethical and professional behavior in team work.
Program Specific Outcomes (PSOs)
After completion of M.Sc. Applied Statistics and Informatics program the student will be able to:
1. Develop stochastic models for studying real life phenomenon in diverse disciplines.
2. Efficiently interpret and translate the outcomes obtained from analysis of stochastic models to an
environment understandable to a layman.
3. Effectively use the Database Management System tools for handling large data systems.
4. Effectively use necessary statistical software and computing environment including R, MS-EXCEL,
C, C++, Python among others and develop required computer programs in the same
5. Apply statistical techniques to optimize and monitor real life phenomena related to industry and
business analytics etc.
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