About the Programme
Statistics is a discipline of scientific principles and methodologies to extract valuable and comprehensive information from data to conclude any phenomenon. It is a discipline that studies the best ways of dealing with randomness, or, more precisely and broadly, variation.
It is the profound interplay between application, computation and theory and the backbone of data science. It renders a good combination of pure and applied statistics with software skills, enabling students to successfully participate in professional life by gaining knowledge.
Comprehensive Statistical Learning
The curriculum offers a balanced combination of pure and applied statistics, covering probability theory, statistical inference, data analysis, modelling, and computational methods. Students gain both theoretical understanding and practical problem-solving skills.
Computational and Software Skills
The programme integrates modern statistical software tools and computational techniques to enhance analytical capabilities. Students develop practical expertise in data handling, visualization, statistical programming, and quantitative analysis applicable to diverse domains.
Career and Research Opportunities
The programme prepares students for professional careers in data analytics, business intelligence, research organizations, government sectors, healthcare analytics, and academia. It also provides a strong foundation for higher studies and research in statistics, data science, and related interdisciplinary fields.
Application-Oriented and Industry-Relevant Training
The programme emphasizes real-world applications of statistics through projects, case studies, internships, and practical assignments. Students learn to apply statistical techniques in areas such as finance, healthcare, business analytics, social sciences, and scientific research.
Why Choose This Programme?
Strong Statistical Foundation
Develop a deep understanding of probability, statistical inference, modeling, and data analysis to solve real-world problems.
Blend of Theory and Application
Gain a balanced education that combines rigorous statistical concepts with practical applications across diverse domains.
Computational and Software Skills
Acquire proficiency in statistical software and programming tools such as R, Python, SPSS, and SAS for modern data analysis.
Gateway to Data Science and Analytics
Build the analytical foundation required for emerging fields such as Data Science, Machine Learning, Artificial Intelligence, and Business Analytics.
Research-Oriented Learning
Enhance critical thinking and research capabilities through projects, case studies, dissertations, and data-driven investigations.
Choose Your Track
The Msc Statistics programme prepares graduates for diverse careers in Data Analytics, Industry, Specialized Statistical and Technical roles, as well as Research, Government, and Academia. With strong analytical, computational, and problem-solving skills, graduates are well-equipped to drive data-informed decisions and contribute to scientific, industrial, and societal advancements.
Data Analyst Business Analyst Market Research Analyst Quality Control Analyst Data Scientist
Statistician Biostatistician Actuarial Analyst Machine Learning and AI Analyst
Research Analyst / Research Associate Government and Public Sector Careers Academic and PhD Career Path
What You Will Learn
Programme Structure
The programme structure outlines the academic curriculum designed to provide a systematic progression of learning through core subjects, electives, and practical components across semesters, ensuring both theoretical understanding and skill development.
Semester 1 — Foundations of Statistics and Programming
Semester 3 — Predictive Analytics and Advanced Statistical Techniques
Eligibility & Fee Structure
Career Paths
Your Career Roadmap
Select a specialisation track to explore the learning journey and career outcomes tailored to your chosen domain.
Trimesters I & II: Foundational Data Analytics and Business Intelligence
Trimesters III & IV: Advanced Analytics, Predictive Modeling, and Business Intelligence
Trimesters V & VI: Big Data, Quantitative Analytics, and Industry Specialization
Trimesters I & II: Statistical Foundations and Applied Analytics
Trimesters III & IV: Advanced Statistical Modeling and Domain Specialization
Trimesters V & VI: Quantitative Modeling and Technical Specialization
Trimesters I & II: Research Foundations and Statistical Investigation
Trimesters III & IV: Applied Research and Specialized Statistical Studies
Trimesters V & VI: Advanced Research, Policy Analytics, and Academic Pathways
Message from the HOD
Admission Process
- Register with your Email ID
- Login to the Admission Portal
- Fill the Application Form
- Pay Application Fee
- Entrance Test (If Applicable)
- Assessment
- Interview
- Check login page for result
- If selected, Offer Letter attached
- Pay Course Fee Online
- Complete Admission Process
Ready to Apply?
Applications are open. Deadline: 2026-12-06 23:45:00.