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Programme Details

Master of Science in Mathematics

The M.Sc. in Mathematics is a postgraduate program that provides advanced knowledge in pure and applied mathematics, focusing on analytical thinking, problem-solving, and research skills.

Programme Overview

Programme Code MSM
Programme Type Post Graduate Programme
Department Department of Science
Duration 2 Years
Fee Per Year 35000
Eligibility Candidates must have completed a Bachelor’s degree in Mathematics or a related discipline with Mathematics as a core subject from a recognized university with the required minimum percentage.

Available Programme Options

This programme is available as a regular postgraduate/professional academic pathway based on the university curriculum and eligibility criteria.

Regular Programme
Regular

Master of Science in Mathematics

Duration2 Years
Fee Per Year35000
EligibilityCandidates must have completed a Bachelor’s degree in Mathematics or a related discipline with Mathematics as a core subject from a recognized university with the required minimum percentage.

Regular programme option as per the prescribed university academic structure.

Career Path

  • Lecturer / Assistant Professor
  • Research Scientist
  • Data Analyst
  • Statistician
  • Actuarial Analyst
  • Banking & Financial Analyst
  • Operations Research Analyst
  • Government Services Officer
  • Quantitative Analyst
  • Ph.D. Scholar / Research Fellow

Programme Outcomes

1. Advanced Mathematical Knowledge
Develop deep understanding of core areas such as algebra, analysis, and applied mathematics.

2. Analytical Thinking
Enhance logical reasoning and critical thinking abilities for solving complex problems.

3. Problem-Solving Skills
Apply mathematical methods to theoretical and practical problems effectively.

4. Mathematical Modeling
Develop models to analyze real-world situations in science, business, and engineering.

5. Research Competency
Conduct independent research and present mathematical findings systematically.

6. Computational Skills
Use mathematical software and computational tools for data analysis and problem-solving.

7. Statistical & Data Interpretation
Analyze and interpret quantitative data using statistical techniques.

8. Proof & Theoretical Skills
Construct and understand rigorous mathematical proofs.

9. Communication Skills
Present mathematical concepts clearly through reports, presentations, and teaching.

10. Ethical & Professional Responsibility
Apply mathematical knowledge responsibly in professional and research settings.

11. Higher Education Preparation
Build a strong foundation for pursuing Ph.D. and competitive examinations.

12. Career Readiness
Prepare for professional roles in academic, research, and corporate sectors.

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