B.Sc. Data Science and Big Data Analytics

Programme Overview

The Bachelor of Science in Data Science and Big Data Analytics programme at MIT-WPU offers a unique curriculum blend of Data Science & Big Data Analytics disciplines, complemented by Mathematics, Electronics, and Statistics. The programme focuses on application areas like predictive analytics, machine learning, natural language processing, and computer vision, offering career paths in tech, healthcare, finance, and marketing. Industry visits, industry-based projects, internships, academic collaborations, and research opportunities in areas such as AI models, big data analysis, and advancements in healthcare and climate science expose students to practical experience, fostering critical and logical thinking and problem-solving skills. Eligible students who opt for the 4th Year of this programme will be awarded the Honours programme as per the NEP 2020.

Major Tracks
3 Years

Last Date to Apply : 10 May 2024
Programme Name

B.Sc. Data Science and Big Data Analytics

Fee Per Year

Rs. 1,55,000

Highest CTC

Scholarship Name MIT-WPU CET Score
Dr. Vishwanath Karad Scholarship (100%) 93 & Above
MIT-WPU Scholarship I (50%) 91 & Above
MIT-WPU Scholarship II (25%) 90 & Above

Scholarship Detailsbharatasmita

*Terms & Conditions apply:

All Scholarships are awarded on a First Come First Serve basis All Scholarships are awarded as fee adjustments.

To continue the scholarship for the entire duration of the programme, a minimum level of the academic score has to be maintained at an 8.5 CGPA across all semesters attendance is to be maintained at a minimum of 80 percent there should be no disciplinary action against the student.

For more detailed information visit our website: www.mitwpu.edu.in/Admissions


Minimum 50% aggregate score in 10+2/Class 12th or in equivalent examination in science stream with Mathematics / Statistics subject (at least 45% marks, in case of Reserved Class category candidate belonging to Maharashtra State only)
Minimum 55% aggregate score in any 3 years Engineering Diploma from Any UGC approved University or equivalent."

Selection Process

The selection process for the programme is based on MIT-WPU CET Entrance Exam 2024 & Personal Interaction (PI) score.

Programme Highlights
  • A flexible credit system with multiple options to cater to diverse learning needs
  • Up to 100% scholarships for meritorious students, with various scholarship policies
  • A well-balanced curriculum covering core computer technology and allied subjects while the integration of yoga and peace studies fosters holistic student development
  • Focus on technical competence for pursuing higher education in MCA, M.Sc. in Data Science & Big Data Analytics, M.Sc. in Statistics, M.Sc. in Operation Research and M.Sc. in IT, M.Sc. in Data Science and Big Data and Analytics, etc
  • Collaborations with top foreign universities, and National, International and Rural immersion experiences to broaden student perspectives and enrich their personalities
  • Industry visits during each semester in collaboration with companies like Cybage, Inteliment, Xpansion International, Barclays, and CISCO
  • Academic collaboration with the University of Wisconsin, Parkside, USA, for student and faculty exchange programs, as well as collaborative research projects
  • Unique 6-month industry internship with reputed MNCs in and around Pune
  • Placement opportunities in renowned companies like Deloitte Consulting, Cognizant, Infosys, and L&T Infotech, with attractive packages
Placements & Recruiters
100% placement assistance
Top Recruiters
Programme Outcomes
  • Apply problem-solving abilities in computer science to create innovative solutions.
  • Demonstrate analytical skills essential for developing real-world computer-based solutions.
  • Implement high-quality software development practices and adhere to ethical practices and industry standards.
  • Acquire advanced professional skills crucial for success in Data Science & Big Data Analytics.
  • Build a robust knowledge base for research and development in Data Science & Big Data Analytics, and Machine Learning, fostering successful careers in the field.
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