Postgraduate Programme

This course is a combination of mathematics emboldened with data science & computer-assisted simulations. The curriculum has been designed in order to fulfil the current demands of applicable mathematics without altering the essence of basic mathematics courses. To make it more aligned with the latest education policy and give diverse opportunities to the students, a wide variety of elective courses have been included.

A few salient features:
a) in-depth theoretical background and practical training for pursuing higher studies and research in pure and applied mathematics
b) create a platform for higher studies and research in mathematics, computing, and inter-disciplinary areas.
c) prepare students to qualify for various national and international competitive examinations.

Aims and Objectives

Sound knowledge in a discipline can only lead to excellence in the art of teaching. The master’s in mathematics at SRM University AP should nurture a prospective student into research and become industry-ready. It is our goal to facilitate students to continue work at institutions of national importance and abroad.

For this, we offer the program under three themes of study:

  • Industrial and Data Science,
  • Pure Mathematics, and
  • Applicable Mathematics

And each theme of study has a common curriculum of fundamental courses in semesters I and II. Further, additional support and guidance will be provided in preparing for the competitive examinations, viz, CSIR-UGC-NET, GATE, GRE.

Curriculum Highlights

The curriculum is designed to provide students with an in-depth theoretical background and practical training in both pure and applicable mathematics. In particular, the diverse spectrum of open electives enables a student to develop a career of his chosen one, either academia or industry. Moreover, a student becomes competent to take challenges in mathematics at national and international levels. A few topics that make this course unique:

a) Stochastic Differential Equations
b) Mathematics for Artificial Intelligence and Machine Learning
c) Mathematical Statistics
d) Applied Linear Algebra
e) Theory of Optimization
f) Dynamical systems
g) Harmonic analysis
h) Number theory

The main goal is to
i) acquire the knowledge and explaining of pure mathematics covering analysis and algebra and the ability to apply this knowledge in other fields.
ii) use of applied mathematics courses such as Numerical Analysis, Operations Research, Probability and Statistics; and Mechanics to solve real-life problems.

Curriculum & Syllabus

Learn more about required the Credits to graduate - semester-wise divisions, along with the Curriculum & Syllabus.

Admissions

Know more about the Admission procedure.

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