Online MSc Mathematics | Centurion University

About the course

The Online MSc in Mathematics is a rigorous programme designed to develop deep analytical and problem-solving skills. The curriculum covers advanced topics in pure and applied mathematics, preparing students for careers in academia, research, data science, actuarial science, and the financial sector.

What You'll Gain:

Advanced Mathematical Knowledge: Deep understanding of algebra, analysis, differential equations, and numerical methods.
Analytical & Problem-Solving Skills: Learn to model and solve complex real-world problems using mathematical reasoning.
Computational Skills: Gain hands-on experience with mathematical and statistical software (MATLAB, Python, R).
Research Orientation: Develop the ability to conduct independent research through a dissertation project.

Career Opportunities

MSc Mathematics graduates can pursue careers as data scientists, actuaries, financial analysts, operations researchers, statisticians, and mathematics educators in schools, colleges, and universities.

The Centurion Advantage

Strong Mathematical Foundation

Build deep expertise in both pure and applied mathematics through a comprehensive curriculum.

Computational Skills

Learn to use modern computational tools and programming languages for mathematical modeling and data analysis.

Flexible Online Learning

Access high-quality content, live sessions, and expert faculty from anywhere, at your own pace.

Accreditation

Recognized by UGC

"A+" Grade by NAAC

Ranked by NIRF

Program Structure

Semester I ▾

Type	Name of Subject	Credits
Core	Fluid Dynamics	4
Core	Advanced differential equations	4
Core	Advanced Algebra	4
Core	Differential Geometry	4
Core	Advanced complex analysis	4
TOTAL	-	20

Semester II ▾

Type	Name of Subject	Credits
Core	Numerical Methods for CFD	4
Core	Optimization techniques	4
Core	Applied Number Theory	4
Core	Graph Theory	4
Core	Advanced Statistical Methods	4
Skill	Digital Painting	4
TOTAL	-	24

Semester III ▾

Type	Name of Subject	Credits
Value Added	Research Methodology & IPR	4
Core	Topology	4
Core	Data Analysis and Visualization using Python	4
Core	Heat and Mass Transfer	4
Core	Functional Analysis	4
Core	Advanced Calculus	4
Skill	Desktop Publishing	4
TOTAL	-	28

Semester IV ▾

Type	Name of Subject	Credits
Core	Machine Learning using Python	4
Core	Measure Theory	4
Core	Operation Research	4
Core	Integral Equation	4
Core	Descriptive statistics & Data analysis	4
Skill	Data Analysis with R Programming	4
TOTAL	-	24

Program Fees

A non-refundable registration fee of Rs. 1,000/- is payable at the time of admission. Semester-wise tuition fees are paid separately. The total course fee including registration is Rs. 81,000/-. The semester-wise breakdown is as follows:

Fee Component	Sem 1	Sem 2	Sem 3	Sem 4	Total
Registration Fee	Rs. 1,000/-	-	-	-	Rs. 1,000/-
Tuition Fees	Rs. 20,000/-	Rs. 20,000/-	Rs. 20,000/-	Rs. 20,000/-	Rs. 80,000/-
Total Semester Wise	Rs. 21,000/-	Rs. 20,000/-	Rs. 20,000/-	Rs. 20,000/-	Rs. 81,000/-