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Maharshi Dayanand Online Master of Science in Mathematics (DDE Semester)

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Limited seats available!

Application Closing soon for Jul 2026 Batch

EMI Starts From: NA

Live Class:Online

Average Salary:₹12.0LPA

Course Overview

Maharshi Dayanand University’s Online Master of Science in Mathematics is a 2 year (4 semester) programme tailored for ambitious learners who need the flexibility of an accredited online format. It builds strong foundations in pure and applied mathematics including analysis, algebra, topology and differential equations while integrating emerging themes such as optimization, numerical computing and introductory machine learning methods. Delivered by the Centre for Distance and Online Education and approved under UGC-DEB, the programme blends recorded classes, e-content and periodic live sessions suitable for working professionals and outstation learners. Assessments combine internal assignments with end-semester examinations to ensure consistent progress and academic rigour. Graduates gain job-ready competencies and can progress to higher studies or roles across sectors including analytics, education, software, finance and research roles.

Course Highlights

Core Foundations: Real/complex analysis, algebra and topology
Differential Equations: ODEs, PDEs and modelling applications
Computation: Numerical methods and programming exposure
Optimization & OR: Techniques for decisions under constraints
Statistics Link: Probability and stochastic basics
Flexible Study: Online access and paced assessments
UGC-DEB Recognition: Valid M.Sc. degree
Capstone Project: Research or applied modelling

Course

Benefits

Mathematical mastery Achieve depth in core areas to tackle advanced problems.

Applied orientation Use computation and modelling for industry-relevant tasks.

Career versatility Enter analytics, finance, software or academia.

Work-friendly format Learn online with regular checkpoints.

CourseConnect Benefits

What additional you get from CourseConnect

Mock Interview➔
Resume Building➔
Alumni Network➔
Career Guidance➔

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Eligibility

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BSc (Mathematics)/BA with Mathematics or equivalent; minimum marks per MDU
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Quantitative aptitude required; bridge refreshers may be advised
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Merit-based selection as per CDOE notifications

Course

Fees

Total 4 semester

INR 26,250 / Semester

*Fees may vary kindly check the actual fee with our counsellor

Full course fee

INR 1,05,000

*Inclusive of all taxes

EMI starting at

INR 4,375 / Month

*Terms & Conditions apply

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Course Syllabus

S.No	Credit	Subject
1	MSCM101	Real Analysis
2	MSCM102	Algebra I
3	MSCM103	Topology
4	MSCM104	Ordinary Differential Equations
5	MSCM105	Numerical Methods

S.No	Credit	Subject
1	MSCM201	Complex Analysis
2	MSCM202	Algebra II
3	MSCM203	Partial Differential Equations
4	MSCM204	Probability Theory
5	MSCM205	Programming for Mathematics

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Our students consistently achieve better salaries and rapid career growth.

ProfessionalProfiles

Quantitative Researcher

Builds mathematical models for risk or pricing.

AVG SALARY9.0 LPA

Software Engineer (Math)

Implements algorithms and numerical routines.

AVG SALARY8.5 LPA

Assistant Professor (Eligible)

Teaches math courses and supports research.

AVG SALARY6.5 LPA

Actuarial Analyst

Assesses risk using probability and statistics.

AVG SALARY8.0 LPA

Data Analyst

Applies statistics and modelling to business questions.

AVG SALARY7.0 LPA

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FAQs

Is coding necessary Master of Science in Mathematics at Maharshi Dayanand University?

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Yes, basic programming knowledge is helpful at Maharshi Dayanand University, especially for numerical methods, data analysis, and project work.

What electives are offered at Maharshi Dayanand University?

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Maharshi Dayanand University offers electives such as statistics, coding theory, and introductory machine learning to enhance analytical and technical skills.

How tough is this Master of Science in Mathematics course at Maharshi Dayanand University?

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The course at Maharshi Dayanand University is academically rigorous, with weekly problem sets and proof-based assignments that build strong analytical depth.