O.P. Jindal University

Overview

A 2-year postgraduate program in Mathematics and Computation, like a M.Sc., provides in-depth knowledge of advanced mathematical concepts and their practical application in computing. It aims to equip students with strong analytical skills and computational expertise, preparing them for careers in fields like research, software development, and data science.

Eligibility

Bachelor’s degree in science or equivalent in relevant discipline with minimum 50% aggregate marks

Admission Process

Apply for the program at OPJU School of Science.
Application should be accompanied by Application Fee of Rs.1000 payable Online (Internet banking/Credit/Debit card) or Cash/DD/Bank Transfer / UPI.
One Time Deposit (OTD) Rs 15,000 needs to be paid (All Course) within stipulated time mentioned in the offer letter. The OTD shall be adjusted towards enrolment Fee on confirmation of admission and in case of admissions cancellation by students, OTD will be non-refundable.
Semester fee includes: Tuition fee, Development fee, Examination Fee, Professional Development Fee/Projects & Internship fee.
A merit list will be announced for eligible candidates for each round. The shortlisted candidates will be asked to appear for Counselling and, subject to fulfilment of requisite conditions and verification of documents, will be issued provisional admission offer and asked to deposit fee by the stipulated date.
If candidates don't pay fee by the stipulated date, the admission would be deemed cancelled and the seat would become vacant for the next round of Counselling.
There will be two rounds of Counselling. Post that, if there are any unfilled seats, they will be filled based on rolling Counselling (First come first serve basis).

Program Fees

To view the detailed fee structure, Click Here .

Scholarships

To view the detailed scholarships, Click Here .

Course Structure

Semester I
Advanced Real and Complex Analysis
General Topology
Python Programming
Elective 1
Research Methodology
Python Programming Lab
LaTex

Semester II - Course Name
Measure Theory and Integration
Functional Analysis
R Programming
Elective II
Offered by the department
R Programming Lab
Seminar

Semester II - Course Name
Integral Transforms, Integral Equations and Calculus of Variation
Advanced Algebra
Data Structure
Elective III
Minor Research Project
Data Structure Lab
MATLAB/ MATHEMATICA/ MAPLE

Semester II - Course Name
Mathematical Statistics
AI and Machine Learning
Elective IV
Publication Ethics
Major Research Project
AI and Machine Learning Lab
Seminar

Semester II - Course Name
Engineering Mathematics-II
Applied Chemistry

Semester II - Course Name
Engineering Mathematics-II
Applied Chemistry

Program Outcomes (PO)

PO1: Disciplinary knowledge

Attain profound knowledge in Discipline with advanced concepts in science & technology to design the methodology suitable to the problem encountered and ability to apply the knowledge to solve real-life problems.

PO2: Research Skills

Attain Research Skills to analyze problems, formulate a hypothesis, evaluate, and validate results with the help of advanced tools and technology, and draw a logical conclusion.

PO3: Communication

Able to present scientific and technical information with clarity, conciseness, and correct manner in both oral and written presentation.

PO4: Leadership Skills

Able to demonstrate leadership and work collaboratively as a part of a team in multidisciplinary settings.

PO5: Ethics

Attain the relevant knowledge and skills to identify unethical behaviour and truthful actions in all aspects and demonstrate standard professional ethics in the discipline concerned.

PO6: Lifelong Learning

Ability to seek new knowledge and skills and inculcate the habit of self-learning throughout life and adapting to contemporary demands of workplace.

Program Specific Outcome (PSO)

PSO 1: Understand the Mathematical concepts and applications in the field of algebra, analysis, computational techniques, optimization, differential equations, engineering, finance and actuarial science.

PSO 2: Handle the advanced techniques in algebra, analysis, computational techniques, optimization, differential equations, engineering, finance and actuarial science to analyze and design algorithms solving variety of problems related to real life problems.

PSO 3: Adopt changing scientific environment in the process of sustainable development by using Mathematical tools.

PSO 4: Learn skills and expertise in the field of research and developments through seminar and dissertation.

M.Sc. (Mathematics)