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  • Faculty

    Faculty of Natural Sciences

  • Department

    Department of Mathematics and Statistics

  • Campus

    Technology Campus (Peenya Campus)

  • Engagement Mode

    Full Time

  • Study

    Duration 2 years

Overview

Given that a large number of businesses rely on data, technology, and efficiency, professionals with strong mathematical skills are in high demand. A report from CareerPlanner unveils that the overall employment of mathematicians and statisticians is expected to grow 33% between 2016 and 2026, much faster than the average outlook for all occupations. This indicates a bright future for professionals adept in logic and numbers.

The M.Sc. Mathematics course is a comprehensive postgraduate programme designed to deepen and broaden students' understanding of advanced mathematical concepts. The programme equips students with the analytical, problem-solving, and research skills essential for careers in academia, research institutions, finance, technology, and various industries.

The M.Sc. Mathematics syllabus programme covers a wide spectrum of mathematical topics, including but not limited to algebra, analysis, topology, and applied mathematics. Emphasising both theoretical rigour and practical applications, students engage in advanced coursework, research projects, and seminars. With a focus on fostering a deep appreciation for the beauty and applicability of mathematics, MSc Mathematics graduates emerge as adept mathematicians ready to contribute to cutting-edge research and real-world problem-solving.

Program Objectives

This program is outcome-based and emphasises critical, analytical and problem-solving skills for students to pursue a scientific career. Our program -

  • A renowned establishment with a 62-year history
  • NAAC A+ Accredited and NIRF-ranked institute
  • PhD faculty comprising experts from top institutions
  • A strong focus on research and innovation
  • Agile, multidisciplinary curriculum delivered by experienced scholars and professionals
  • State-of-the-art infrastructure with advanced facilities

Curriculum Details

Sl. No. Course Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Max. Marks Total Credits
1 MTC511A Linear Algebra 3 1 0 100 4
2 MTC512A Theory of Ordinary Differential Equations 3 1 0 100 4
3 MTC513A Real Analysis 3 1 0 100 4
4 MTC514A Numerical Analysis – 1 2 1 0 100 3
5 MTC515A Abstract Algebra 3 1 0 100 4
6 MTL511A Numerical Analysis Laboratory – 1 0 0 2 50 1
Total 14 5 2 550 20

Sl. No. Course Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Max. Marks Total Credits
1 MTC521A Complex Analysis 3 1 0 100 4
2 MTC522A Theory of Partial Differential Equations 3 1 0 100 4
3 MTC523A Topology 3 1 0 100 4
4 MTC524A Introduction to Statistics and Probability 3 1 0 100 4
5 MTC525A Fundamentals of Fluid Dynamics 3 1 0 100 4
Total 15 5 0 500 20

Sl. No. Course Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Max. Marks Total Credits
1 MTC531A Measure Theory and Integration 3 1 0 100 4
2 MTC532A Differential Geometry 3 1 0 100 4
3 MTC533A Numerical Analysis – 2 2 1 0 100 3
4 MTE5XXX Elective – 1 3 1 0 100 4
5 MTL532A Numerical Analysis Laboratory – 2 0 0 2 50 1
6 MTS531A Seminar – 1 0 0 4 50 2
7 MPF615A Research Methodology 2 0 0 50 2
Total 13 4 6 550 20

Sl. No. Course Code Course Title Theory (h/W/S) Tutorials (h/W/S) Practical (h/W/S) Max. Marks Total Credits
1 MTC541A Functional Analysis 3 1 0 100 4
2 MTE5XXX Elective – 2 3 1 0 100 4
3 MTE5XXX Elective – 3 3 1 0 100 4
4 MTH600A Dissertation 16 200 8
Total 9 3 16 500 20
* Internship can be done during the vacation period for a maximum period of 8 weeks
Electives
Group 1 Group 2
Course Code Course Title Course Code Course Title
MTE531A Mechanics MTE631A Machine Learning – 1
MTE541A Fluid Mechanics MTE641A Machine Learning – 2
MTE542A Magnetohydrodynamics MTE642A Probability and Stochastic Process

Eligibility Criteria

  • Graduates who have secured 40% marks in the aggregate of all subjects and 50% marks in Mathematics (cognate subject). 
  • The candidate mush have been declared pass in eligible undergraduate programme on or before 31st Aug of the admission year. 
  • Admission selection process will be based on RUAS AT scores, and CUET-PG scores are also accepted and RUAS AT will be exempted for these candidates.

Structure

 Fee Structure 

Course Total Fee Per Year
M.Sc. Mathematics Rs.96,000

Intake

15 seats

Career Path

  • Mathematician
  • Statistician
  • Financial/Investment Analyst
  • Accountant
  • Operations Research Analyst

Contact

Start your journey with MSRUAS

Ramaiah University of Applied Sciences

Heritage Building, Gnana Gangothri Campus New BEL Road, MSR Nagar, Bengaluru-58

Admission 2025

ADDRESS

University House, New BEL Road, MSR Nagar, Bengaluru - 560054