M.Sc. - Applied Math & Computing - C V Raman Global University

Overview

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.

SYLLABUS

Semester - 1

Sl.No.	Code	Subject	Category	Credits			Credits	Hrs/ Week
				L	P	T
1	MTH61301	Real & Complex Analysis	PC	4	0	0	4	4
2	MTH61302	Probability & Statistics	PC	4	0	0	4	4
3	MTH61303	Discrete Mathematics	PC	4	0	0	4	4
4	MTH61304	C++ and Data Structure	PC	3	0	0	3	3
5	MTH62301	Data Base Management System Laboratory	PC	0	2	1	3	4
6	MTH62302	C++ and Data Structure Laboratory	PC	0	2	0	2	3
Total:				15	4	1	20	22

Semester - 2

Sl.No.	Code	Subject	Category	Credits			Credits	Hrs/ Week
				L	P	T
1	MTH61305	Topology	PC	4	0	0	4	4
2	MTH61306	Numerical Analysis	PC	4	0	0	4	4
3	MTH61307	Abstract Algebra	PC	4	0	0	4	4
4	MTH61308	Design & Analysis of Algorithm	PC	4	0	0	4	4
5	MTH62303	Design & Analysis of Algorithm Laboratory	PC	0	2	0	2	3
6	MTH62304	Numerical Analysis (Computational Method) Laboratory using C/C++	PC	0	2	0	2	3
Total:				16	4	0	20	22

Semester - 3

Sl. No.	Code	Subject	Category	Credits				Hrs/ Week
				L	P	T	Credits
1	MTH61309	Differential Equations	PC	4	0	0	4	4
2	MTH61310	Linear Algebra	PC	3	0	0	3	3
3	MTH614AA	Elective – I	PE	4	0	0	4	4
4	MTH614BB	Elective – II	PE	3	0	0	3	3
5	MTH624XX	Elective Laboratory-I	PE	0	2		2	3
6	MTH62601	Project-I	MP	0	4	0	4	6
	Total:			14	6	0	20	23

Semester - 4

Sl.No.	Code	Subject	Category	Credits			Credits	Hrs/ Week
				L	P	T
1	MTH61311	Machine Learning	PC	3	0	0	3	3
2	MTH614CC	Elective – III	PE	3	0	0	3	3
3	MTH614DD	Elective - IV	PE	3	0	0	3	3
3	MTH62602	Project – II	MP	0	11	0	11	17
Total:				9	11	0	20	26

Laboratories

Eligibility Criteria

M.Sc.

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.