M.Sc Applied Statistics & Analytics

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Master of Science in Applied Statistics & Analytics

Duration

2 Years

Level

Post Graduation

Type

Degree

Eligibility

Graduation

M.Sc Applied Statistics & Analytics or Master of Science in Applied Statistics & Analytics is a specialized and one-of-a-kind two-year four semesters full-time program with courses that integrate contemporary computationally demanding theory and methodologies. Through mathematically challenging lectures and case study sessions, as well as hands-on practical sessions in a computer laboratory, the program aims to provide high-level instruction in fundamental concepts of statistical inference, statistical machine learning, applied and computational statistics. The Applied Statistics & Analytics course emphasizes the general growth of a student's computational and analytical skills, as well as the expansion of their knowledge base through an interdisciplinary course.

M.Sc Applied Statistics & Analytics Eligibility

  • Candidate must hold a Bachelor’s degree in Statistics or any other relevant field from a recognized University.
  • The students should have secured a minimum of 50% aggregate marks in their Bachelor's.
  • The candidate must have passed their 10+2 or equivalent examination with Mathematics / Mathematics & Statistics / Statistics as a compulsory subject.

M.Sc Applied Statistics & Analytics Syllabus

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

M.Sc Applied Statistics & Analytics Semester-I

Sr. No. 

Subjects to Study

1

Data Driven Analytics

2

Design of Experiments

3

General Management

4

Modern Statistical Inference

5

Programming for Analytics

6

Probability Models for Data Analytics

7

Statistical Computing

8

Stochastic Models for Analytics

M.Sc Applied Statistics & Analytics Semester-II

1

Applied Multivariate Data Analysis

2

Data Driven Analytics

3

Data Visulization & Management for Analytics

4

Financial Time Series Analysis

5

Generalized Linear Models

6

Introduction to Organizational Behaviour

7

Survival Analysis

8

Statistical Computing

M.Sc Applied Statistics & Analytics Semester-III

1

Analytics Application Development

2

Data Driven Analytics

3

High Performance Data Mining

4

Introduction to Machine Learning Techniques

5

Project Management

6

Statistical Computing (Hadoop)

M.Sc Applied Statistics & Analytics Semester-IV

1

Industry Internship

2

Electives (Any Two)

  • Computational Biology
  • Financial Analytics
  • Quality Management
  • Marketing Analytics

 

M.Sc Applied Statistics & Analytics College

  • Nilkamal School of Mathematics, Applied Statistics & Analytics - NMIMS, Mumbai

M.Sc Applied Statistics & Analytics Job Types

  • Consultant
  • Content Analyst
  • Data Analyst
  • Data Scientist
  • Mathematician
  • Professor
  • Risk Analyst
  • Statistical Trainer