1. Components of the Programme Core Courses

The following courses are compulsory for MSc and MPhil students:

  1. MA 551 Research Methods
  2. MA 553 Operations Research
  3. MA 577 Computer Programming
  4. MA 593 Artificial Intelligence

Computational Mathematics Option

  1. MA 571 Numerical Methods for Linear and Nonlinear Equations
  2. MA 579 Functional Analysis
  3. MA 581 Advanced Differential Equations

Financial Mathematics Option

  1. MA 579 Functional Analysis
  2. MA 581 Advanced Differential Equations
  3. MA 585 Investment Analysis and Portfolio Theory

Statistics Option

  1. MA 573 Advanced Time Series Modelling
  2. MA 575 Advanced Probability and Statistics
  3. MA 583 Measure Theory and Integration
    1. Elective Courses

Computational Mathematics Option

  1. MA 574 Computational Methods for Optimal Control Problems
  2. MA 576 Application of Numerical Analysis to ODEs
  3. MA 580 Application of Numerical Analysis to PDEs
  4. MA 584 Computational Methods in Optimisation
  5. MA 598 Advanced Numerical Methods

Financial Mathematics Option

  1. MA 572 Risk Analysis and Management
  2. MA 578 Computational Finance
  3. MA 582 Optimisation Models in Economics and Finance
  4. MA 588 Stochastic Processes with Applications

Statistics Option

  1. MA 594 Statistical Models
  2. MA 586 Multivariate Analysis
  3. MA 588 Stochastic Processes with Applications
  4. MA 590 Design and Analysis of Experiments
  5. MA 592 Sample Surveys
  • Mandatory Courses

The following courses are compulsory for MSc and MPhil students:

  1. MA 551 Research Methods
  2. MA 550 MSc/MPhil Seminar
  3. MA 556 Field Trip and Technical Report Writing

Field trips will be organised and all MSc students will be required to participate in at least one of them. MPhil Students may participate. Students are required to submit a written report after the field trip.

The following courses are mandatory for PhD candidates:

  1. MA 551 Research Methods
  2. MA 655 Individual Studies
  3. MA 656 University Teaching Experience (Compulsory for UMaT’s staff pursuing PhD)
  4. MA 650 PhD Seminar I
  5. MA 660 PhD Seminar II
  • Research Component

MSc and MPhil Mathematics

  1. MA 500 MSc Thesis
  2. MA 560 MPhil Thesis

PhD Mathematics/Statistics

  1. MA 600 PhD Thesis
    1. Competence-Based Training (CBT) Component

All the courses under the programme have been carefully designed to meet students’ competence needs. Some of the areas under each course include: independent study, student presentations, simulation work, participatory and learning approaches.

  • Problem-Based Learning Component

The programme is designed to expose students to real-life situations, practical and modern techniques for solving problems in industries.

  • Practical Training, Industrial Attachment, etc.

Not Applicable

  • Semester-by-semester Structure/Schedule of Course