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M.Sc. in Mathematics
 
Introduction
The classical mathematics provides foundations for analysis of key principles behind modern and emergent technologies, modern mathematics coupled with computational capabilities is opening new avenues for further explorations. M.Sc. (Mathematics) Program at IIT Jodhpur aims at tapping these opportunities by developing workforce specialized in mathematics needed for developing key technologies. The proposed four semester program strives to provide balance between analysis and application of Mathematics. The compulsory courses provide the basic understanding and foundation of mathematics enhancing analytic capabilities of the students. Students can further explore their area of interest with program and open elective courses. The project component spread over last two semesters provides research exposure to the students and provides an opportunity to apply their mathematical skills to solve real-life problems. Students are encouraged to undertake research Summer Internships in Institute of repute, Industry and R&D organizations.

Objective of the Programme
M.Sc. program in Mathematics at IIT Jodhpur is offered with the objective of tapping opportunities for nurturing motivated students in the frontline areas and well trained workforce for Academia and Industry. The Program also strives to provide a vibrant environment to support independent thinking and developing the spirit of team work.

Expected Graduate Attributes (M.Sc.)
1. Skill set to analyze abstract mathematical structures.
2. Understanding about the recent thrust areas in pure and applied mathematics such as algebra, analysis, statistics and computation.
3. Ability to formulate mathematics from computational aspect.
4. Knowledge and capability to develop and apply mathematical models for real life problems.
5. Skill set to understand the abstraction of mathematical structures.
6. Analytical and scientific skill set to pursue higher studies and research in diverse areas of mathematics
7. Ability to express ideas in the written and oral formats

Learning Outcome
1. Understanding of fundamental aspects of real, complex and functional analysis.
2. Basic understanding of linear and abstract algebra.
3. Knowledge about basics and use of probability theory, statistics and differential equations
4. Skill set to cater computational aspects using programming techniques
5. Basic understanding of symbolic solution tools such as MATLAB or Mathematica.
6. Demonstrate skills to communicate scientific ideas and/or application systems.
7. Acquire project management skills.