MIT World Peace University (MIT-WPU), Pune

M.Sc. Data Science and Big Data Analytics at MIT World Peace University (MIT-WPU), Pune

• The M.Sc. Data Science and Big Data Analytics at MIT World Peace University (MIT-WPU), Pune is a 2-year postgraduate program designed to develop advanced expertise in data science, big data technologies, and analytical decision-making.
  
  
• The program focuses on data analytics, machine learning, big data frameworks, statistical modeling, and business intelligence, preparing graduates for high-demand roles in data-driven industries.

M.Sc. Data Science and Big Data Analytics – Course Details

• Duration: 2 Years (4 Semesters)

• Eligibility: Minimum 50% aggregate in B.Sc. / B.Tech / BCA / Computer Science / Mathematics / Statistics / allied disciplines

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

• Course Fee (Per Year): ₹2,65,000

M.Sc. Data Science and Big Data Analytics – Course Structure

The curriculum emphasizes data analytics, big data processing, and practical implementation of data science tools.

Career Scope after M.Sc. Data Science and Big Data Analytics

Graduates are prepared for analytical, technical, and research-oriented roles in data science and big data domains.

Job Profiles & Key Responsibilities

• Data Scientist: Analyze complex data and build predictive models

• Data Analyst: Interpret data to support business decision-making

• Big Data Engineer: Design and manage large-scale data processing systems

• Machine Learning Engineer: Develop and deploy ML algorithms

• Data Researcher: Conduct advanced research in data science technologies

Career Sectors

• IT & Software Companies

• Data Analytics & Consulting Firms

• Banking, Finance & FinTech Organizations

• E-commerce & Digital Platforms

• Research and Development Institutions

Why Choose M.Sc. Data Science and Big Data Analytics at MIT-WPU?

• Industry-oriented curriculum aligned with data science and analytics needs

• Hands-on training with real-world datasets and big data tools

• Strong focus on machine learning and applied analytics

• Guidance from experienced academic and industry professionals

• Excellent career opportunities in data science and big data analytics