MIT World Peace University (MIT-WPU), Pune

B.Sc. Applied Statistics and Data Analytics (Hons.) at MIT World Peace University (MIT-WPU), Pune

• The B.Sc. Applied Statistics and Data Analytics (Hons.) at MIT World Peace University (MIT-WPU), Pune is a 4-year undergraduate program designed to develop strong skills in statistical analysis, data analytics, quantitative methods, and data-driven decision-making.

• The program integrates statistics, mathematics, programming, and analytics tools, preparing students for careers in data analysis, business intelligence, research, and analytics-driven industries.

B.Sc. Applied Statistics and Data Analytics (Hons.) – Course Details

• Duration: 4 Years (8 Semesters)

• Eligibility: Minimum 50% aggregate in 10+2 (Mathematics preferred)

• University: MIT World Peace University (MIT-WPU), Pune

• Course Fee (Per Year): ₹1,10,000

B.Sc. Applied Statistics and Data Analytics (Hons.) – Course Structure

• The curriculum focuses on core statistics foundations along with applied data analytics and computational subjects.

Career Scope after B.Sc. Applied Statistics and Data Analytics (Hons.)

• Graduates are prepared for statistical, analytical, and data-focused roles.

Job Profiles & Key Responsibilities

• Data Analyst: Analyze and interpret structured and unstructured data

• Statistician: Apply statistical methods to solve real-world problems

• Business Intelligence Analyst: Support data-driven business decisions

• Research Analyst: Conduct statistical and analytical research

• Analytics Consultant: Provide insights using data and statistical models

Career Sectors

• Data Analytics & Business Intelligence Firms

• IT & Software Services Companies

• Banking & Financial Services

• Consulting & Research Organizations

• Healthcare & Pharmaceutical Analytics

• Government & Statistical Departments

Why Choose B.Sc. Applied Statistics and Data Analytics (Hons.) at MIT-WPU?

• Strong emphasis on statistics and real-world data analytics

• Hands-on training with analytics tools and programming

• Industry-aligned curriculum with practical exposure

• Excellent foundation for M.Sc., MBA (Analytics), Data Science, and research careers

• Affordable program with high-demand analytical skill development