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Admission 2025 - 2026

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M.Sc. in Mathematics

Introduction

The Master of Science in Mathematics is a two-year postgraduate program designed to deepen students’ understanding of mathematical theories and their applications in science, engineering, data analysis, finance, and research. The program emphasizes logical reasoning, problem-solving, mathematical modeling, and rigorous analytical skills essential for careers in academia, industry, government, and research organizations.

USPs

  • Contemporary Curriculum : Covers advanced topics in Pure and Applied Mathematics aligned with current National standards.
  • Research-Oriented Training : Emphasis on project-based learning, seminars, and thesis work under faculty mentorship.
  • Computational Exposure : Integration of programming and software tools such as MATLAB, Python, and LaTeX for mathematical computation and simulation.
  • Interdisciplinary Learning : Opportunities to explore intersections with physics, computer science, engineering, and data science.
  • Career Support : Regular career guidance, guest lectures, and preparation for competitive exams like CSIR-NET, GATE, and UPSC.

Eligibility and Selection Process

Eligibility
Eligibility : B.Sc./B. A./B.Sc. (Hons.) in Mathematics from any recognized Indian or foreign university with 50% or above marks.
Selection Process
Merit-based selection or entrance test as per university admission policy
Course Duration
2 years (4 semesters).
Scholarships
  • Based : Scholarships for top-performing students.
  • Financial Aid : Support for students from economically weaker sections.
  • Encouragement Awards : Incentives for research publication, participation in national/international competitions.

Specialization-Specific Information

Specialization Overview
M.Sc. Mathematics allows students to specialize in areas such as Pure Mathematics, Applied Mathematics, Mathematical Modelling, and Computational Mathematics, equipping them with skills to solve real-world problems across scientific disciplines.
Key Highlights
  • Comprehensive Curriculum Covers Algebra, Analysis, Differential Equations, Topology, Numerical Methods, and more.
  • Emphasis on both theoretical rigor and practical application.
  • Research & Innovation Support for independent research, publication, and participation in conferences.
Advanced Computing
  • Practical sessions in mathematical software and coding platforms.
  • Academic Excellence
  • Strong foundation for doctoral studies and competitive examinations.
  • Industry Integration
  • Applied mathematics modules designed to prepare students for data science, finance, actuarial roles, and analytics.
Infrastructure Details
  • Computational Labs : Equipped with modern mathematical and statistical software.
  • Library Access : Extensive digital and physical collections in mathematics and allied fields.
  • Seminar Halls & Smart Classrooms : For workshops, guest lectures, and research presentations.
Information
  • While internships are optional, students are encouraged to undertake
  • Academic Research Internships in national institutes (e.g., ISI, IITs, IISER).
  • Applied Internships in analytics, data science, finance, or software industries.
Placement Assistances
  • A dedicated Training and Placement Cell is set up at the university for consistent endeavor towards academic and corporate interaction. The Training and Placement Cell facilitates the placements of the students of all faculties/ programs.
  • Top Recruiters : Research institutions, analytics firms, banking/finance companies, IT services, and universities.
  • Roles Offered : Data Analyst, Quantitative Analyst, Research Assistant, Lecturer, Software Developer (Math-based applications).

Possible Career Pathways

M.Sc. Mathematics post-graduates are expected to demonstrate knowledge of major portion of pure and applied mathematics Also it is expected that after the completion of this course they will be in a position to pursue their research in Mathematics. The list below provides a synoptic overview of possible career paths provided by a postgraduate training in Mathematics :

1.
Academic and Research Pathways
  • Ph.D. in Mathematics (Pure/Applied/Industrial/Computational)
  • Postdoctoral Research (India or abroad in research institutes like IISc, IITs, TIFR, ISI, etc.)
  • Research Assistant / Project Fellow roles in sponsored projects (DST, CSIR, NBHM, etc.)
  • Teaching in schools (PGT level), colleges, and universities (Assistant Professor after qualifying UGC-NET/CSIR-NET)
2.
Government and Public Sector Jobs
  • CSIR-NET / UGC-NET / GATE Qualified Jobs (Junior Research Fellowship, lectureship, etc.)
  • Indian Statistical Services (ISS) and Indian Economic Services (IES)
  • UPSC and State PSC (Civil Services, SSC, Railways, Public Sector Banks)
  • DRDO, ISRO, BARC, NIELIT – Scientist/Technical roles for candidates with strong applied math backgrounds.
3.
Data and Analytics Careers
  • Data Analyst / Data Scientist
  • Business Analyst
  • Quantitative Analyst (Quant)
  • Actuarial Science (after clearing actuarial exams)
  • AI/ML & Predictive Modeling roles in companies like TCS, Infosys, Deloitte, KPMG, etc.
4.
IT and Software Development
  • Mathematics Programmer / Algorithm Developer
  • Software Developer (Math-intensive areas like simulations, image processing, optimization)
  • Roles in FinTech and EdTech companies developing tools and platforms
5.
Finance, Banking, and Insurance
  • Actuarial Analyst
  • Quantitative Finance Roles
  • Risk Analyst / Investment Analyst
  • Public Sector and Private Sector Banking Jobs
6.
International Opportunities
  • Higher studies (Ph.D./M.Phil.) abroad with scholarships
  • Research Internships/Fellowships in institutions like DAAD (Germany), Fulbright (USA), Commonwealth (UK), Erasmus Mundus (Europe)
7.
Competitive Exams & Fellowships
  • CSIR-NET / GATE / NBHM / JAM for higher studies or research
  • INSPIRE Fellowship, Prime Minister’s Research Fellowship (PMRF), KVPY (for undergraduates)
8.
Entrepreneurship and EdTech
  • Launching Coaching Institutes or Online Platforms for competitive exam preparation
  • Working with or founding Startups in the fields of education, analytics, or consulting
    1. Teaching
    2. Research
    3. Engineering
    4. Computer programming (In different MNC’s)

Additional Exposure

  • Industry and Academia Linkages: Guest lectures from mathematicians, statisticians, and industry professionals.
  • Project Work & Publications: Guidance for publishing research papers and participating in mathematical modeling contests.
  • Support for Higher Studies: Mentorship for CSIR-NET, GATE, GRE, and Ph.D. entrance exams.