M.Sc Statistics & Applied Mathematics

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Master of Science in Statistics & Applied Mathematics

Duration

2 Years

Level

Post Graduation

Type

Degree

Eligibility

Grauduate or Equivalent

M.Sc Statistics & Applied Mathematics or Master of Science in Statistics and Applied Mathematics is a full-time two-year postgraduate course. The Statistics and Applied Mathematics curriculum focuses on mathematical foundations and their modeling and numerical equivalents, as well as their applications to medicinal sciences, astronomy, business and analytics, and machine learning challenges.

M.Sc Statistics & Applied Mathematics Eligibility

  • Candidate must have completed their Bachelor’s degree in Statistics / Mathematics from a recognized University.
  • The students should have secured a minimum of 55% aggregate marks in their Bachelor's.

M.Sc Statistics & Applied Mathematics Syllabus

Syllabus of Statistics & Applied Mathematics Course as prescribed by various colleges & universities.

M.Sc Statistics & Applied Mathematics Semester-I

Sr. No. 

Subjects to Study

1

Analysis

2

Linear Algebra

3

Probability Distributions

4

Statistical Computing with "R"

5

Statistical Computing with "R" Practical

M.Sc Statistics & Applied Mathematics Semester-II

1

Analysis

2

Differential Equations

3

Multivariate Statistical Analysis

4

Numerical Analysis

5

Statistical Inference

6

Multivariate Statistical Analysis Practical

7

Numerical Analysis Practical

M.Sc Statistics & Applied Mathematics Semester-III

1

Fluid Dynamics

2

Stochastic Processes

3

Elective-I

  • Artificial Intelligence
  • Biostatistics
  • Calculus of Variations and Integral Equations
  • Design and Analysis of Experiments

4

Elective-II

  • Advanced Topics in Differential Equations
  • Econometrics
  • Integral Transforms
  • Mathematical Modelling in Biology

5

Elective-III

  • Industrial Statistics
  • Mechanics
  • Machine Learning
  • Statistical Methods in Clinical Trials

M.Sc Statistics & Applied Mathematics Semester-IV

1

Project Work

2

Elective-IV

  • Advanced Numerical Methods
  • Computational Introduction to Number Theory
  • Introduction to Cryptography
  • Time Series Analysis

3

Elective-V

  • Generalized Linear Models
  • Introduction to Fractional Calculus
  • Regression Analysis

 

M.Sc Statistics & Applied Mathematics College

  • Central University of Tamil Nadu , Thanjavur