The centre’s M.Sc. in Applied Mathematics and Computing program provides a comprehensive understanding of mathematics and its applications in various fields such as engineering, finance, and computer sciences. The program is designed to equip students with advanced mathematical and computational skills, as well as the ability to apply these skills to real-world problems. The curriculum includes core courses such as Numerical Analysis, Differential Equations, Probability Theory, and Linear Algebra, as well as elective courses such as Optimization, Machine Learning, and Data Analysis. The program is typically two years long and is divided into four semesters. Students are required to complete a certain number of credits by taking a combination of core and elective courses. In addition, students are required to complete a research project under the supervision of a faculty member, which allows them to apply the knowledge and skills acquired during the program to a real-world problem.

Program Educational Objectives (peo’s)

  • PEO1
    Have significant opportunities in various service domains at National and International levels like teaching, research, software, banking, insurance, government jobs, consultancy, defence, industry and entrepreneurial pursuit.
  • PEO2
    Achieve peer recognition as an individual or as a team member having specialized knowledge and expertise to investigate, formulate, analyze and implement problems of pure, applied and computational mathematics to compete at global level.
  • PEO3
    Have leadership quality to handle all kind of circumstances in diversities by providing interdisciplinary and multidisciplinary learning environment.
  • PEO4
    Have continuous learning attitude to adopt new skills and techniques to overcome the problems related with new technologies.
  • PEO5
    Inculcate value system while working in a team assigned with an important targets they will contribute through their critical thinking and mathematical competence holding the ethical values.

Program Outcomes (PO’s)

  • PO1
    Apply knowledge of mathematics and computing to become competent professionals at global level.
  • PO2
     Identify and solve complex scientific problems using mathematical and computational skills.
  • PO3
    Apply the mathematical complex problems based on scientific principles for the analysis and interpretational data.
  • PO4
     Select, design and apply appropriate computational techniques to solve and models physical problems.
  • PO5
    Apply and improve the mathematical modelling to predict the effect of environment changes and contribute to the sustainable development.
  • PO6
    Implement ethical principles and responsibilities of a mathematician to serve the society.
  • PO7
    Communicate effectively through soft skills, report writing, documentation and effective presentations.
  • PO8
    Perform as an individual and as a member or leader in diverse teams in multidisciplinary settings.
  • PO9
    Engage in independent and lifelong learning in the broadest context of science and technological changes.
  • PO10
    Enhance and adopt skills required for higher order employment or jobs through activities such as seminar, dissertation, workshops and conferences.
  • PO11
    Successfully crack the national and international level competitive examinations.
  • PO12
    Apply and implement mathematical/ statistical tools to analyze the data.


Semester - 1

Sl.No.CodeSubjectCategoryCreditsCreditsHrs/ Week
1MTH61301Real & Complex AnalysisPC40044
2MTH61302Probability & StatisticsPC40044
3MTH61303Discrete MathematicsPC40044
4MTH61304C++ and Data StructurePC30033
5MTH62301Data Base Management System LaboratoryPC02134
6MTH62302C++ and Data Structure LaboratoryPC02023

Semester - 2

Sl.No.CodeSubjectCategoryCreditsCreditsHrs/ Week
2MTH61306Numerical AnalysisPC40044
3MTH61307Abstract AlgebraPC40044
4MTH61308Design & Analysis of AlgorithmPC40044
5MTH62303Design & Analysis of Algorithm LaboratoryPC02023
6MTH62304Numerical Analysis (Computational Method) Laboratory using C/C++PC02023

Semester - 3

Sl. No.CodeSubjectCategoryCreditsHrs/ Week
1MTH61309Differential EquationsPC40044
2MTH61310Linear AlgebraPC30033
3MTH614AAElective – IPE40044
4MTH614BBElective – IIPE30033
5MTH624XXElective Laboratory-IPE0223

Semester - 4

Sl.No.CodeSubjectCategoryCreditsCreditsHrs/ Week
1MTH61311Machine LearningPC30033
2MTH614CCElective – IIIPE30033
3MTH614DDElective - IVPE30033
3MTH62602Project – IIMP01101117


Eligibility Criteria


Passed bachelor degree (with Hons.) in the relevant field with at least 60% marks in aggregate. Candidates applying for M.Sc in Biotechnology must have passed graduation with honours in Biotechnology, Botany or Zoology with 60% marks in aggregate.

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Career path you can choose after the course

This course opens the door to many possible careers.
  • Research
  • Teaching
  • Jobs in Software Industry
  • Banking
  • Insurance Sector