M.Sc. (Applied Mathematics)

Program Code 10510

Campus Noida

Institute Amity Institute of Applied Sciences

University Amity University Uttar Pradesh

Eligibility Non Sponsored Category - B Sc (H) Maths ...

Duration 2 Years

Selection Process Personal Interview

  • Program Fee (Rs. in Lacs)
  • 1st Year Non Sponsored Semester 0.58
  • 1st Year Sponsored Semester Fee 0.87
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Course Structure

  • 1st Year
  • 2nd Year

Semester – 1

    Core Courses
  • Field Theory
  • Ordinary Differential Equations
  • Mathematical Analysis
  • Integral Equations and Calculus of Variation
    Employability & Skill Enhancement Courses
  • Data Analysis using PYTHON
    Common Curriculum Courses
  • Foreign Business Language - I (Arabic/Chinese/French/German/Japanese/Russian/Sanskrit/Spanish)
  • Professional & Business Communication
  • Universal Human Values

Semester – 2

    Core Courses
  • Advanced Complex Analysis
  • Functional Analysis
  • Partial Differential Equations and Boundary Value Problems
  • Mathematical Programming
    Specialisation Elective Courses (Any one)
  • Discrete Mathematical Structure
  • Industrial Mathematics
    Specialisation Elective Courses (Any One)
  • Mathematical Modeling - An Inter Disciplinary Approach
    Common Curriculum Courses
  • Foreign Business Language - II (Arabic/Chinese/French/German/Japanese/Russian/Sanskrit/Spanish)
  • Cognitive Analytics & Social Skills for Professional Development

Semester – 3

    Core Courses
  • Topology
  • Lebesgue Measure and Integration Theory
    Specialisation Elective Courses (AnyTwo)
  • Special Functions
    Specialisation Elective Courses (Any Two)
  • Queuing and Reliability Theory
  • Fuzzy Sets and their Applications
    Common Curriculum Courses
  • Foreign Business Language - III (Arabic/Chinese/French/German/Japanese/Russian/Sanskrit/Spanish)
  • Professional Ethics and Social Responsibility for Sustainability
    Non-Teaching Credit Courses
  • Summer Internship

Semester – 4

    Specialisation Elective Courses (Any Two)
  • Machine Learning for Statistical Analysis
  • Time Series Data Analytics
  • Multivariate Data Analytics
    Non-Teaching Credit Courses
  • Dissertation