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Centre for Distance and Online Education (CDOE)

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Course Description

The M.Sc Mathematics Work-Linked Degree program combines rigorous academic learning with practical industry experience. Students pursue their postgraduate studies online while interning with partner organizations, applying mathematical concepts in real-world scenarios such as data analytics, statistical modeling, financial modeling, and algorithm design.

This program equips learners with advanced analytical, computational, and problem-solving skills, enhancing both theoretical knowledge and professional competencies. The internship is credit-linked and comes with a monthly stipend, providing financial support while students gain hands-on experience and exposure to workplace dynamics.

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Course Eligibility

Mathematics as a subject in UG III Year or B.Tech./BCA

Internship Eligibility

Age limit: 23 years
*Earnings depend on role, industry, company policies, and internship availability.

Career Opportunities After M.Sc Mathematics

Graduates of the M.Sc. Mathematics program have diverse career opportunities, including:

  • Data Analyst / Data Scientist
  • Quantitative Analyst
  • Statistical Research Officer
  • Operations Research Analyst
  • Risk Management Executive
  • Software Developer
  • Financial Modeling Analyst

Students who complete their online M.Sc. Mathematics can also pursue higher education, such as Ph.D. in Mathematics or professional certifications in Data Science, Actuarial Science, and Financial Risk Management to enhance their career prospects.

Course Structure

COURSE CODE COURSE TITLE
MAT- 501N Groups and Canonical Forms
MAT- 502N Topology
MAT- 503N Differential and Integral Equations
MAT- 504N Complex Analysis
MAT- 505N Real Analysis
COURSE CODE COURSE TITLE
MAT- 506N Fields and Modules
MAT- 507N Differential Geometry of Manifolds
MAT- 508N Partial Differential Equations
MAT- 509N Operations Research
MAT- 510N Fluid Dynamics
Open Minor Elective Course/ Open Elective Course
MAT- 500N Basic Statistical Tools for Mathematical Sciences
COURSE CODE COURSE TITLE
MAT- 511N Number Theory
MAT- 512N Functional Analysis-I
MAT- 513N Mathematical Modelling
Discipline Specific Elective (DSE)/Elective Courses (Any one course of the Group-A/Opt any one)
MAT- 514N Discrete Mathematics
MAT- 515N General Relativity and Gravitation
MAT- 516N Summability Theory and Approximation
MAT- 517N Hydro Dynamics
MAT- 518N Numerical Solution of Differential Equations
Discipline Specific Elective (DSE)/Elective Courses (Any one course of the Group-B/Opt any one)
MAT- 519N Advanced Topology
MAT- 520N Mathematical Epidemiology
MAT- 521N Complex Manifolds
MAT- 522N Riemannian Geometry
MAT- 523N Hydro Statics
Project
MAT- 524N Project
COURSE CODE COURSE TITLE
MAT- 525N Measure Theory
MAT- 526N Functional Analysis-II
MAT- 527N Classical Mechanics
Discipline Specific Elective (DSE)/Elective Courses (Any one course of the Group-A/Opt any one)
MAT- 528N Fourier Analysis
MAT- 529N Cosmology
MAT- 530N Wavelet Analysis
MAT- 531N Magneto Hydrodynamics
MAT- 532N Fixed Point Theory and its Application
Discipline Specific Elective (DSE)/Elective Courses (Any one course of the Group-B/Opt any one)
MAT- 533N Bio Mathematics
MAT- 534N Contact Manifolds
MAT- 535N Finsler Geometry
MAT- 536N Variational Analysis and Nonsmooth Optimization
MAT- 537N Mathematics for Humanities (Not for Mathematics Students)
Dissertation/Research Project
MAT- 538N Dissertation/ Research project

Fee Structure

M.Sc Mathematics 1st Year Fees 2nd Year Fees
Registration Fee Rs. 500/- -
Course Fee Rs. 12,000/- Rs. 12,000/-
Exam Fee Rs. 3,000/- Rs. 3,000/-
Internship Fee Rs. 5,000/- Rs. 5,000/-
Total Yearly Fee Rs. 20,500/- Rs. 20,000/-
Total Fees Rs. 40,500/-

Admission Process

1

Apply Online

2

Submit Documents

2
3

Application Review

4

Fee Payment

4
5

Start Learning

Frequently Asked Questions (FAQs)

To be eligible, candidates must have studied Mathematics as a major subject in their undergraduate degree or hold a B.Tech/BCA degree
The work-integrated program includes research projects and applications of mathematical theories to real-world problems, enhancing practical learning alongside academic coursework.
Yes, students gain practical exposure through projects, assignments, and problem-solving exercises in real-world applications​
Graduates can pursue careers in teaching, research, finance, data science, and technical industries, or prepare for competitive exams like CSIR-NET and GATE