

M.Sc. Applied Statistics at MIT World Peace University (MIT-WPU), Pune
- The M.Sc. Applied Statistics at MIT World Peace University (MIT-WPU), Pune is a 2-year postgraduate program designed to develop advanced expertise in statistical theory, data analysis, and applied statistical methods.
- The program focuses on probability theory, statistical modeling, data analysis, survey methods, and statistical computing, preparing graduates for analytical, research, and data-centric roles across industries.
M.Sc. Applied Statistics – Course Details
Duration: 2 Years (4 Semesters)
Eligibility: Minimum 50% aggregate in B.Sc. Statistics / Mathematics / allied disciplines
University: MIT World Peace University (MIT-WPU), Pune
Course Fee (Per Year): ₹1,10,000
M.Sc. Applied Statistics – Course Structure
- The curriculum emphasizes statistical foundations, applied analysis, and computational techniques.
| Year | Core Subjects | Specialized Subjects | Practical & Research Work |
|---|---|---|---|
| 1st Year | Probability Theory & Statistical Inference | Statistical Computing | Data Analysis Labs & Mini Projects |
| 2nd Year | Multivariate Analysis | Applied Regression & Time Series | Dissertation / Industry Internship |
Career Scope after M.Sc. Applied Statistics
- Graduates are prepared for analytical, research, and data-focused roles in statistics and analytics.
Job Profiles & Key Responsibilities
Statistician: Analyze and interpret statistical data
Data Analyst: Perform data analysis and reporting
Biostatistician: Apply statistics in healthcare and life sciences
Market Research Analyst: Conduct statistical market studies
Research Associate: Perform applied statistical research
Career Sectors
Data Analytics & Research Firms
IT & Software Companies
Healthcare & Pharmaceutical Organizations
Banking & Financial Services
Academic & Research Institutions
Why Choose M.Sc. Applied Statistics at MIT-WPU?
Strong foundation in applied and computational statistics
Hands-on exposure to real-world data analysis and statistical tools
Industry-aligned curriculum with practical applications
Guidance from experienced faculty and statisticians
Excellent career opportunities in analytics, research, and statistics
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