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School of Computer Science Engineering & Applications

M.Sc. in Computational Mathematics
Program Overview

The M.Sc. (Computational Mathematics) (NEP 2020 Aligned) is a premier two-year postgraduate program at SoCSEA. It is specifically designed to develop highly capable professionals by focusing on the intersection of mathematics and technology. Our curriculum is research-oriented and mathematically rigorous, delivering an education that meets global benchmarks. Students gain expertise in algorithms, optimization, probability, and theoretical computer science. Upon graduation, they are equipped to critically evaluate and develop complex software systems, mastering both logic development and modern software engineering principles.

Program Objectives
  • Apply advanced principles of modern mathematics, including optimization, probability, and numerical methods, to solve complex theoretical and real-world problems
  • Design, analyze, and implement sophisticated algorithms and software systems, bridging the gap between rigorous mathematics and theoretical computer science
  • Utilize mathematical modeling to drive decision-making in emerging high-growth sectors, including Artificial Intelligence, Cryptography, Finance, and Data Sciences
  • Exhibit the technical and analytical skills required for high-end roles in global research labs, data analytics firms, and competitive Ph.D. programs
  • Adopt best-in-class software practices and computational tools to address the increasing demand for skilled mathematicians in the evolving technology landscape
Key Subject Areas
  • Core Mathematics :  Real Analysis, Abstract Algebra, Numerical Analysis, Differential Equations, Probability, Statistics, Optimization.
  • Core Computing : Programming (Python/C++), Algorithms, Data Structures, Scientific Computing, Automata Theory.
  • Computational Focus : Mathematical Modelling, Simulation, Machine Learning, Data Analysis, AI Concepts.
Course Structure
Tentative Structure
Semester I (Foundation)
  • Mathematical Analysis
  • Advanced Linear Algebra
  • Mathematical Reasoning and Proof Techniques
  • Algorithms & Data Structures
  • Scientific Programming
Semester II
  • Random Variables & Stochastic Processes
  • Numerical Methods & Scientific Computing
  • Theory of Computation
  • Optimization Techniques
  • Research Communication & Ethics
Semester III
  • Functional Analysis & Operator Theory
  • Advanced Algorithms & Complexity
  • Elective I (CAM/TCS)
  • Elective II (CAM/TCS)
  • Research Seminar & Proposal
  • Functional Analysis & Operator Theory
Semester IV
  • Dissertation / Thesis
  • Elective III (CAM/TCS)
  • Elective IV (CAM/TCS)
  • Thesis Seminar & Defense
Eligibility Criteria

Duration – 2 years

Qualifying Examination:

A Bachelor’s degree in Mathematics, Statistics, Physics, Computer Science, or Engineering with at least 45-50% aggregate marks (40% for reserved categories) from a recognized University

Fee Structure
  • Tuition fee - Rs.55,000/- per semester
  • Registration fee - Rs. 2,500/- per semester
  • Caution Deposit - Rs. 10,000/- (refundable at the end of the program)

*Semester fees may change as per approval from Fee Fixation Committee

FAQ's

Computational Mathematics is the intersection of mathematics, computing, and data science. Unlike a traditional math degree, this program focuses on using mathematical models and algorithms to solve complex problems in technology, finance, and engineering.

Yes. The program is fully aligned with the National Education Policy (NEP) 2020, emphasizing a research-driven curriculum, interdisciplinary training, and flexible learning pathways to prepare students for both academia and industry.

While a standard M.Sc. focuses heavily on pure theory, our program is application-oriented. We integrate rigorous mathematical foundations with:

  • Theoretical Computer Science
  • Advanced Algorithms and AI
  • Numerical Optimization
  • Scientific ComputingArtificial Intelligence and Machine Learning

Graduates are prepared for high-end roles in several booming sectors:

  • Tech Industry: AI/ML Engineer, Algorithmic Developer.
  • Finance: Quantitative Analyst (Quant), Risk Modeler.
  • Cybersecurity: Cryptographer, Data Security Analyst.
  • Research: Ph.D. positions in global universities or roles in national labs like DRDO, ISRO, or MeitY.

While a basic understanding of logic is helpful, the program is designed to build your computational proficiency from the ground up. You will learn the necessary software practices and programming languages (like Python, MATLAB, or R) during the course.

Yes. We encourage research-driven learning. Students can work with faculty on projects related to computational mathematics, algorithm design, and national missions (such as those under DST or MeitY).

Fill the application form available online at www.dypiu.ac.in and submit by paying Registration fees Rs. 1000/- (Non- Refundable).

A student seeking admission in any course of DYPIU, Akurdi, Pune needs to follow the process below:

  1. Registration and Admission Form:
    • 1. Fill the application form available online at www.dypiu.ac.in and submit by paying Registration fees Rs. 1000/- (Non-Refundable).
    • 2. The application form can also be obtained from the admission cell of DYPIU by paying non-refundable fees Rs. 1000/-.
  2. Fees:
    • 1. Deposit the fees and collect the receipt.
  3. Admission Confirmation:

    1. Admission Letter will be issued with PRN No.

  4. ERP Registration:
    • 1. Download the ERP app on mobile.
    • 2. The official ID will be generated for each valid candidate and login credentials will be provided to the student.
    • 3. Login credentials for ERP will be sent to the official email ID.
    • 4. Login to the ERP account, fill the ERP form, and note the Application Number for future reference.

You may contact the admission section for special cases.

The details of documents will be available on the “Provisional Admission Mail” sent to you.

No.

Yes, we provide scholarships for meritorious students.

S. No Percentage of Refund Point of Time
1 100% 15 days or more before the formally-notified last date of admission
2 90% Less than 15 days before the formally-notified last date of admission
3 80% 15 days or less after the formally-notified last date of admission
4 50% 30 days or less, but more than 15 days, after formally-notified last date of admission
5 0% More than 30 days after formally-notified last date of admission

For cancellation of admission please mail to - cancellation@dypiu.ac.in

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Prospectus