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Online M.Sc in Mathematics

Master of Science at MM(DU) Online

Online2 Years₹70,000Intake: Jan, JulyLast Updated: 8 Oct, 2026

The two-year Online Master of Science (M.Sc) degree programme is designed to offer advanced theoretical foundations, quantitative analytics, and practical scientific expertise. It prepares learners for high-demand careers in data science, mathematics, research, and applied technologies.

Employment & Industry Placements

Career Scope & Job Profiles after Online M.Sc from Maharishi Markandeshwar University Online

High-demand career tracks, typical compensation ranges, and recruitment sectors.

Average Starting Salary₹4 - 12 LPADepends on specialization & experience
Top Hiring SectorsBFSI, Tech & ConsultingMNCs & Global Capability Centers
Placement Assistance100% Career SupportResume review & mock interviews

Prominent Job Roles

Actuary (Trainee/Assistant)

3.6-7LPA

Uses mathematical and statistical models to assess and manage financial risk, primarily for insurance and finance companies. This role involves calculating the likelihood of events like accidents or illnesses to set premiums and ensure solvency.

Data Analyst

4-7LPA

Collects, analyzes, and interprets large datasets using statistical methods to extract meaningful insights and build predictive models for business decisions. Proficiency in programming languages like Python or R is a major asset.

Mathematics Teacher (PGT)

4-7LPA

A traditional career path involving teaching mathematics at schools, colleges, or universities. Pursuing an MPhil or PhD is necessary for a university-level professorship.

Quantitative Analyst

7-12LPA

Applies advanced mathematical and statistical models to financial markets for risk assessment, pricing securities, and developing trading strategies for investment banks and hedge funds. This is one of the highest-paying roles.

Research Assistant/Scientist

1-7.4LPA

Works in R&D labs (both government like ISRO, DRDO and private MNCs) to conduct research on the foundations of mathematics or its application to scientific and engineering problems.

Core Competencies & Skills Acquired

Data AnalysisData EngineeringBig DataStatistical ModelingMachine LearningMathematical ReasoningQuantitative Analysis