M.Sc Mathematics: Applied Mathematics

Sri Sathya Sai University
In Anantapur

Price on request
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Important information

Typology Master
Start Anantapur
Duration 2 Years
  • Master
  • Anantapur
  • Duration:
    2 Years

Important information

Where and when

Starts Location
On request
Prasanthi Nilayam Campus, , 515134, Andhra Pradesh, India
See map
Starts On request
Prasanthi Nilayam Campus, , 515134, Andhra Pradesh, India
See map

Course programme

M.Sc. Mathematics is a four semester course. The students with B.Sc.Honours degree in Mathematics are admitted for this program. The students after completing the program either join research work or some professional courses like M.Tech. in computer science or take up jobs in various field including software development. The syllabus of M.Sc. Mathematics has been prepared by taking into consideration the GATE and CSIR-UGC syllabi of mathematics.
Advanced Real Analysis
Advanced Algebra
Techniques in Applied Mathematics
Software Lab I
Awareness Course - 1

Measure Theory
Functional Analysis
Numerical Linear Algebra
Software Lab II
Comprehensive Viva-voce-I
Awareness Course - 2

Theory of Ordinary Differential Equations
Probability Theory
Differential Geometry
Software Lab III
Awareness Course - 3

Mathematical Modeling
Optimization Techniques
Theory of Statistics
Software Lab IV
Comprehensive Viva-Voce II
Awareness Course - 4

This Specialization include following electives:
Topics in Special Functions
Calculus of variations and Mechanics
Numerical Solutions of Partial Differential Equations ( PDE )
Fluid Dynamics
Advanced Fluid Dynamics
Computational Fluid Dynamics
Bio-fluid Dynamics
Finite Element Methods
Finance Theory
Foundations of Fuzzy Systems
Wavelets & Wavelet Transforms
Time scale
Integral Equations
Control Theory
Dynamical Systems
Numerical Analysis of Partial Differential Equations(PDE)
Decision Analysis: Bayesian Approach
Decision Theory: Utility Approach
Game Theory
Multi-criteria Decision Making
Introduction To Simulation
Mathematical Biology
Computational Bioinformatics (IDE)
Structural Bioinformatics (IDE)

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