Master of Statistics

Program Code 10792

Campus Noida

Institute Amity Institute of Applied Sciences

University Amity University Uttar Pradesh

Eligibility Non Sponsored Category - Graduation in ...

Duration 2 Years

Selection Process English Language TestPersonal Interview

  • Program Fee (Rs. in Lacs)
  • 1st Year Non Sponsored Semester 0.36
  • 1st Year Sponsored Semester Fee 0.54

Course Structure

1st Year

Semester 1

  • Data Analysis Using R [Domain Elective Courses]
  • Queuing and Reliability Theory [Domain Elective Courses]
  • Advance Real Analysis [Core Courses]
  • Advance Statistical Inference- I [Core Courses]
  • Linear Algebra and Applications [Core Courses]
  • Probability Theory [Core Courses]
  • Statistical Lab- I [Core Courses]
  • Statistical Methods [Core Courses]
  • Advanced Communication [Communication Skills]
  • Self Development and Interpersonal Skills [Behavioural Science]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

Semester 2

  • Advance Biostatistics [Specialisation Elective Courses]
  • Mathematical Demography [Specialisation Elective Courses]
  • Statistical Quality Control [Specialisation Elective Courses]
  • Data Analysis Using R [Domain Elective Courses]
  • Queuing and Reliability Theory [Domain Elective Courses]
  • Advance Sampling Theory [Core Courses]
  • Advance Statistical Inference- II [Core Courses]
  • Linear Model and Regression Analysis [Core Courses]
  • Statistical Lab- II [Core Courses]
  • Stochastic Processes and Applications [Core Courses]
  • Communication for Employment [Communication Skills]
  • Conflict Resolution and Management [Behavioural Science]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

2nd Year

Semester 3

  • Modelling and Simulation [Specialisation Elective Courses]
  • Survival Analysis [Specialisation Elective Courses]
  • Theory of Econometrics [Specialisation Elective Courses]
  • Data Analysis Using R [Skill Enhancement Courses]
  • Summer Internship [Non Teaching Credit Courses]
  • Multivariate Analysis [Core Courses]
  • Statistical Lab- III [Core Courses]
  • Professional Communication Skills [Communication Skills]
  • Professional Competencies and Career Development [Behavioural Science]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses

Semester 4

  • Dissertation - I [Non Teaching Credit Courses]
  • Data Analysis Using R [Domain Elective Courses]
  • Queuing and Reliability Theory [Domain Elective Courses]
  • Foreign Business Language
  • Open Elective Courses
  • Outdoor Activity Based Courses