| Introduction |
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The M.Sc. in Statistics is a two-year program designed to shape the next generation of data experts and research professionals. Students gain advanced knowledge in statistical theory, methodology, and practical applications, with specialized training in high-demand areas. The program prepares graduates for rewarding careers as Statisticians, Actuarial Analysts, and research specialists in government, industry, and scientific organizations. With hands-on learning, industry exposure, and a strong research foundation, this degree also opens pathways to Ph.D. programs and academic excellence. |
| Minimum Duration |
| 4 Semesters |
| Intake |
| 20 |
| Eligibility |
| Bachelor’s Degree with a minimum of 45% marks from a recognized University/ Institution with Mathematics/ Statistics/ Applied Mathematics as one of the core subjects in at least 04 semesters/ 02 Years at UG level OR B.Sc. Actuarial and Financial Mathematics OR B.E./B.Tech (with Mathematics/Statistics as subjects for atleast two semester/One Year) |
| Selection Procedure |
| Selection is based on CUET. Please consult university prospectus and notifications for details. |
| Carrer Prospectus |
| The M.Sc. in Statistics program prepares students for dynamic careers in data analytics, research, and strategic decision-making. The curriculum provides advanced training in statistical theory, computational techniques, and applied data analysis, equipping graduates with strong analytical and problem-solving skills.
Graduates are in high demand across government, finance, healthcare, insurance, and information technology sectors for roles such as Statistician, Data Analyst, Biostatistician, Actuary, and Research Analyst.
The program also provides a strong foundation for pursuing Ph.D. studies and academic or research careers. In addition, graduates are eligible to appear for the Indian Statistical Service examination conducted by the Union Public Service Commission, opening pathways to prestigious positions in national statistical organizations. |
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Department of Mathematical Sciences