The total number of seats for each of the M.Sc. Programs is 20 for students from Kerala State, 4 additional for All India Quota(outside Kerala State) and 4 additional for International Quota, 1 additional for Arts/Sports Quota.
Eligibility for admission:
Admission Criteria:
Admission will be solely on the basis of a rank list prepared as per the score obtained in the Common Admission Test CAT (80%) and interview (20%).
Compulsory test under CAT:
Test Syllabus: Undergraduate level Mathematics (40%), Probability & Statistics (40%), Computing & General Mental Ability (20%).
One full semester Project Work and Internship are part of each program and will be carried out in reputed industries / national level institutes / universities etc. for providing wide exposure in interdisciplinary as well as applied research and on the job training. In the present era of increasing thrust on interdisciplinary applications in Mathematical Modeling and Statistical, there is wide scope and employment potential for postgraduate and research level interdisciplinary programs in these disciplines.
Links:
Mathematics has a pivotal role in learning and research in higher levels with interdisciplinary dimension that cut across various disciplines of science as well as social sciences. This program is interdisciplinary since courses like Mathematical Modeling, Operations Research, Queuing Theory, Linear and non-linear Programming, Optimization Theory and Boundary Value Problems, Special Functions and Stochastic Differential Equations, Fuzzy Mathematics, Mathematical Physics, Mathematical Chemistry, Coding Theory, Cryptography, Epidemic Growth Models, Computational Mathematics, Wavelet Analysis, Dynamical Systems, Game Theory, Deterministic Control Theory, Derivatives and Option Prizing, Actuarial Computing, Insurance Mathematics etc are part of the curriculum for M.Sc. Mathematics. DST is encouraging research in Cognitive Sciences using Mathematics. Financial Mathematics and Actuarial Sciences have significant roles in Risk Modeling and Analysis. These are thrust areas for research funding identified by DST.
This will help professionalism, employment and entrepreneurship among students. They will become more proficient in problem solving and analysis, creativity, numerical ability and understanding. Research and Learning skills will be developed. The analytical skills and intellectual depth will be enhanced naturally. This programme will lead to an analytical mind and abstract thinking as well as modeling of natural phenomena. Mathematical Modeling and abstractness are essential to understand the dynamics of various phenomenon occurring nature.
The Program Structure: Table of Courses and Credits
Revised MSc Mathematics Syllabus 2021
Revised MSc Statistics Syllabus 2021
Course Code | Course Title | Teaching L+T+P | Credits |
SEMESTER I Total Credits 24 | |||
SMS MP C01 | LINEAR ALGEBRA | 4 +1+0 | 4 |
SMS MP C02 | ALGEBRA- I | 4 +1+0 | 4 |
SMS MP C03 | TOPOLOGY | 4 +1+0 | 4 |
SMS MP C04 | REAL ANALYSIS – I | 4 +1+0 | 4 |
SMS MP C05 | DISCRETE MATHEMATICS | 4+ 1+0 | 4 |
SMS MP C06 | ORDINARY DIFFERENTIAL EQUATIONS | 4 +1+0 | 4 |
SEMESTER II Total Credits 24 | |||
SMS MP C07 | ALGEBRA -II | 4 +1+0 | 4 |
SMS MP C08 | REAL ANALYSIS- II | 4 +1+0 | 4 |
SMS MP C09 | COMPLEX ANALYSIS | 4 +1+0 | 4 |
SMS MP C10 | FUNCTIONAL ANALYSIS | 4 +1+0 | 4 |
SMS MP E01 | ELECTIVE 1 | 4 +1+0 | 4 |
SMS MP E02 | ELECTIVE 2 | 4 +1+0 | 4 |
SEMESTER III Total Credits 24 | |||
SMS MP C11 | MULTIVARIABLE CALCULUS & GEOMETRY | 4 +1+0 | 4 |
SMS MP C12 | ANALYTIC NUMBER THEORY | 4 +1+0 | 4 |
SMS MP C13 | PROBABILITY THEORY | 4 +1+0 | 4 |
SMS MP E03 | ELECTIVE 3 | 4 +1+0 | 4 |
SMS MP E04 | ELECTIVE 4 | 4 +1+0 | 4 |
OPEN COURSE | 4 | ||
SEMESTER IV Total Credits 16 | |||
SMS MP E05 | ELECTIVE 5 | 4 +1+0 | 4 |
SMS MP C14 | PROJECT / DISSERTATION | 8+4 +4 | 8 |
SMS MP C15 | PROJECT / DISSERTATION PRESENTATION & VIVA VOCE | 4+0+0
|
4 |
Grand Total of Credits | 88 |
Thus in the present Program Structure there are 15 Core Courses with a total of 64 credits, 5 Elective courses with a total of 20 credits and an Open Course of 4 credits so that the grand total of credits is 88 for the whole program.
N.B. LITERATURE SURVEY, REVIEW OF LITERATURE ETC. ON PROJECT WORK/ DISSERTATION SHOULD START IN THE THIRD SEMESTER & A BRIEF REPORT TO BE SUBMITTED TO THE SUPERVISING FACULTY/ HEAD OF THE DEPT.
N.B. 1 Open Course is any course offered by another Department / School / Inter university Centre of the University other than the parent Department / School/ Centre, permitted by both Departments / Schools to encourage interdisciplinary studies and research in emerging areas.
N.B. 2 In case students wish to undergo online MOOC Courses in SWAYAM PORTAL or offered by IITs, NPTEL, COURSERA and other reputed institutes of national importance, they can choose them as electives during Semester 3 and 4 with the permission of the Head of the Department / Director of the School in accordance with the CSS regulations of the university.
N.B. 3 Project / Dissertation shall be carried out in a reputed research institute/ department or industry under the joint supervision of an internal faculty and external guide / expert approved by the Director / Head of the Dept.. The students have to submit a bound copy and soft copy of the Project Report (documented in LaTex) of at least 50 pages certified by the supervisors, at least 7 days before the conduct of the Presentation and Viva Voce. The Project/ Dissertation will be valued with respect to various criteria including content and presentation as decided by the University as per CSS Rules & Regulations.
Students can select any 5 elective courses from the list of electives given below. If required more electives may be added and offered with the permission of the competent authorities.
Course Code | NAME OF THE COURSE | Teaching | Credits |
E1 | PARTIAL DIFFERENTIAL EQUATIONS | 4 | 4 |
E2 | DIFFERENTIAL GEOMETRY | 4 | 4 |
E3 | ALGEBRAIC TOPOLOGY | 4 | 4 |
E4 | ADVANCED FUNCTIONAL ANALYSIS | 4 | 4 |
E5 | ADVANCED COMPLEX ANALYSIS | 4 | 4 |
E6 | CODING THEORY | 4 | 4 |
E7 | ALGEBRAIC NUMBER THEORY | 4 | 4 |
E8 | WAVELETS | 4 | 4 |
E9 | GRAPHS & MATRICES | 4 | 4 |
E10 | REPRESENTATION THEORY | 4 | 4 |
E11 | LINEAR PROGRAMMING | 4 | 4 |
E12 | CRYPTOGRAPHY | 4 | 4 |
E13 | OPERATIONS RESEARCH | 4 | 4 |
E14 | DATA SCIENCE & DATA ANALYTICS | 4 | 4 |
E15 | STOCHASTIC PROCESSES | 4 | 4 |
E16 | MATHEMATICS FOR GENETICS AND ECOLOGY | 4 | 4 |
E17 | ACTUARIAL MATHEMATICS | 4 | 4 |
E18 | NUMERICAL ANALYSIS WITH PYTHON 3 | 4 | 4 |