M.Sc. (Applied Mathematics)

Introduction to the Programme:

The program Masters in Applied Mathematics is a beginning step towards both Industry as well Academic/research career. For students who have completed their graduation with Mathematics as core subject, and who want to pursue their career as an academician in the field of Mathematics, this programme should be the very next logical step. After completion of this programme a student may acquire in depth theoretical knowledge of analyzing logical arguments to prove mathematical concepts and ability to critically evaluate theories, methods, principles, and applications of pure and applied science.

  This programme brings fundamental computer knowledge of computer science that will be gained parallel to Mathematics. The adequate computer knowledge which will make them industry friendly. Work in teams on multi-disciplinary projects in research organizations and industries during Summer Internships in various industries and reputed Research Organizations will help the students to think outside the box and ignite the young minds with scientific inquisitiveness. Inclusion of Projects, Dissertations, Seminars on Contemporary Research in Mathematics.

Programme Educational Objective:

PEO 01: Graduate will have ability to pursue and undertake inter-departmental research activity in institutes of higher learning.

PEO 02: Empower graduate to recognize the need for and the skill to engage in life-long learning

PEO 03: Graduate will equip with knowledge, skills and understanding in mathematics and computer science and related fields

PEO 04: Enrich graduates with integrity, social and ethical values as a responsible citizen to help to sustain the society.

Programme Outcome:

PO 01: Academic Excellence: Apply basic concepts and knowledge of applied mathematics as it is an essential part in many fields such as engineering, social science, finance and natural science.

PO 02: Quantitative Aspects: Develop idea of counting, measurement, systematic study of shapes and motions of physical object through abstraction and logic.

PO 03: Research and Analysis: Investigate various problems arises in real life and figure out ways to solve with detail analysis.

PO 04: Creative, Critical Thinking and Problem Solving Skills: Identify, formulate and solve scientific problems based on design, experiment, data interpretation and analysis of results.

PO 05: Modernization and Tools Usage: Learn to use modern mathematical tools to solve many problems related to various field of study.

PO 06: Ethics: Understand ethical principle, responsibly and norms in the society.

PO 07: Societal Implication: Analyze complex social elements, their interrelation and its impact on geographically different society and contribute with reliable solutions.

PO 08: Communication: Communicate effectively in both written and verbal way.

PO 09: Individual and Team Work: Work as an individual or in teams on multi-disciplinary projects in research organizations, industries and participate in academic discussion.

PO 10: Leadership Skills: Undertake a major, individual, mathematics-related project and discuss the results in a full scientific report with a presentation.

PO 11: Innovation and Entrepreneurship: Build interest in mathematical innovations interacting with scientific community and run educational institutes for benefit to the society.

PO12: Life Long Learning: Understand concepts and strategies behind mathematical and non-mathematical context through life-long learning to improve knowledge, skills and competency.

Programme Specific Outcome:

PSO 01: Understand applications and various fields of applied mathematics

PSO 02: Construct mathematical model to figure out solutions of real-life problems

PSO 03: Get exposure in research world, educational institutes, govt./private organizations

PSO 04: Get industrial/ academia exposure through the internship in industry/ renowned institute.

PSO 05: Develop research oriented skills in terms of project/ dissertation

Programme Eligibility:

Minimum 50% aggregate in 10 +2 or equivalent from any recognized board and Minimum 50% aggregate in Undergraduate degree in any discipline from any recognised University in India or abroad in respective subject

Duration (in Year): 2

Career Avenues:

• It is being a multidisciplinary subject with interdisciplinary applications.
• Students can appear for NET, GATE, SLET or competitive examinations that will give the option for sponsored research.
• Candidates may pursue M.Tech. in the field of Computer Science and Engineering.
• Students can choose to work as a member of research teams in statistical and data collection organizations, meteorology, IT, aerospace and bioinformatics.
• Educator in School Level
• Administrative Jobs in different Government sectors
• After acquiring higher degrees, one can also opt for teaching jobs in colleges or universities.

ELECTIVE PAPERS:

Students are required to study THREE Elective Papers from the following list of electives during semester III and IV. The list of the electives are given below:

List of Elective Papers
Electives	Paper Name	Paper Code	Credit	L-T-P
Elective I	Computational Number theory with Python	MTH21059	3	3-0-0
	Computational Number theory with Python Lab	MTH22060	2	0-0-3
	Data Analysis Methods in Physical Oceanography	SDS21044	3	3-0-0
	Data Analysis Methods in Physical Oceanography Lab	SDS22045	2	0-0-3
	Database Management System	CSE21745	3	3-0-0
	Database Management System Lab	CSE22746	2	0-0-3
	Object Oriented Programming	CSE21752	3	3-0-0
	Object Oriented Programming Lab	CSE22753	2	0-0-3
	Machine Learning and Applications	SDS21058	3	3-0-0
	Machine Learning and Applications Lab	SDS22059	2	0-0-3
Elective  II and III	Fuzzy Set Theory with Applications	MTH21061	4	4-0-0
	Finite Element Method: Theory and Applications	MTH21062	4	4-0-0
	Fluid Dynamics	MTH21063	4	4-0-0
	Mathematical Hydrology	MTH21064	4	4-0-0
	Mechanics	MTH21065	4	4-0-0
	Mathematical Methods	MTH21066	4	4-0-0
	Dynamical System	MTH21067	4	4-0-0
	Cryptography and Network Security	CSE21747	4	4-0-0
	Information and Coding Theory	CSE21748	4	4-0-0
	Advanced Graph Theory	MTH21068	4	4-0-0
	Mathematical Modelling in Bio-Sciences	MTH21069	4	4-0-0
	Application of Module Theory	MTH21070	4	<span style="font-size: 16px; line-height: 115%; font-family: 'Times New