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Centre for Distance and Online Education (CDOE)

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Course Description

The M.Sc Mathematics program in ODL mode is designed for learners who want to strengthen their understanding of advanced mathematical concepts through independent, self-paced study. The course focuses on building strong foundations in pure and applied mathematics, including algebra, analysis, differential equations, and basic statistical methods.

Students study using structured self-learning materials provided in printed and digital formats, supported by academic guidance and study center facilities as per university norms. This mode is suitable for graduates preparing for competitive exams, teaching careers, or those who want to improve their analytical and quantitative skills while managing work or other responsibilities.

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Course Eligibility

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

Career Opportunities After M.Sc Mathematics(ODL)

  • Teaching Roles
  • Coaching and Academic Support Services
  • Data Support and Statistical Assistant Roles
  • Banking and Insurance Sector Positions
  • Research Assistance and Project Support
  • Government and PSU Jobs

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/- -
Exam Fee Rs. 3,000/- Rs. 3,000/-
Course Fee Rs. 9,000/- Rs. 9,000/-
Total Yearly Fee Rs. 12,500/- Rs. 12,000/-
Total Fees Rs. 24,500/-

Admission Process

1

Apply Online

2

Submit Documents

2
3

Application Review

4

Fee Payment

4
5

Start Learning

Frequently Asked Questions (FAQs)

Yes, the degree helps build strong subject knowledge required for teaching roles and for appearing in NET and other eligibility exams, subject to regulatory norms.
Yes, degrees obtained through UGC-entitled ODL programs are valid for employment and for pursuing higher education such as Ph.D., subject to eligibility criteria.
Yes, ODL allows learners to follow flexible study schedules using self-learning materials, making it suitable for working professionals and competitive exam candidates.
Students develop strong problem-solving abilities, logical reasoning, quantitative analysis skills, and mathematical modeling basics useful across technical and analytical roles.