| Program Description |
The M.Sc. in Mathematics Programme provides a broad-based knowledge of mathematics to students through core
courses that cover the areas of Analysis, Algebra, Geometry, Differential Equations, Probability & Statistics, Operations
Research, etc. The syllabus also provides one software laboratory course in each of the four semesters, which will enable
hands-on experience with various programming languages, software packages and in working in different platforms. In
order to develop a deep understanding and skill in chosen areas, the programme provides different streams of electives.
› Students have an option to specialize in Computer Science or Actuarial Science
Programme Outcomes
At the end of the course, students will have enough theoretical and problem solving knowledge in the area of their specialization. A student will be able to
● Solve problems in the areas of Analysis, Algebra, Geometry, Differential equations, Statistics etc.
● Read, analyze, and write logical arguments to prove mathematical concepts.
● Communicate mathematical ideas with clarity and coherence, both written and verbally.
● Join for Research or M.Tech course depending on his specialization.
● Attempt practical problems in a suitable Industry for real world solutions.
● Understand the core values and philosophy of Sri Sathya Sai Institute of Higher Learning.
● Appreciate Core values in life and living as depicted by Bhagawan Baba.
In order to add value to the specialization chosen by the student, he is permitted to choose one of the labs of his interest. The availability of facility and faculty to run the lab would finally ascertain the approval of the choice. List of lab courses are given below.
LAB Courses pertaining to Computer Science
(i) C++ Programming
(ii) Advanced C++ Programming
(iii) Programming in Python
(iv) Numerical Methods and Simulation Lab
(v) Introduction to SageMath Programming
(vi) Symbolic Computing in SageMath
(vii) Introduction to MATLAB Programming
(viii) Advanced MATLAB Programming
(ix) Introduction to OCTAVE Programming
(x) Advanced OCTAVE Programming
(xi) Data Analysis and Visualization using Python
(xii) Mathematical Methods in Data Mining using Python
(xiii) SQL Programming
(xiv) Core Java Programming
(xv) Operating Systems Lab
LAB Courses pertaining to Actuarial Science
(xvi) Actuarial Mathematics using R
(xvii) Actuarial Mathematics using SAS
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| Admission & entry requirements |
10+2 years of schooling and 3 years of university (total 15 years) as recognized by SSSIHL
Either passed or appeared for Final exams at Bachelor’s degree level before Admissions Test
Bachelor’s degree: 50% or more (English) and 60% or more (Aggregate incl. English) or CGPA aggregate of 6 or more
(10-point scale) and 5 or more (10-point scale) in English.
(If not appeared for Bachelor’s degree final exams, aggregate marks in all the preceding Years/Semesters put together
marks will be considered)
Only candidates with a B.Sc. in Mathematics or other B.Sc. programmes (M/P/C or M/E/S or M/P/CS) with a major/
specialization in Mathematics are eligible to apply
Familiarity with the following is mandatory for admissions:
Mathematics: Calculus, Differential Equations, Probability Theory, Real Analysis, Group Theory, Ring Theory,
Linear Algebra, Complex Analysis, Discrete Mathematics, and Numerical Analysis
Computer Science: C Language Programming
Age: preferably below 23 years as of 31st May in the year of admission
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