M.Sc. Data Science and Big Data Analytics
Programme Overview
The M.Sc. in Data Science and Big Data Analytics at MIT-WPU is a cutting-edge programme that merges statistics, mathematics, and software programming to offer a thorough understanding of data management and analysis.
Over the span of two years, this programme equips students with the skills needed to collect, store, and analyse large datasets, empowering them to use analytics as a vital tool for decision-making.
With a strong emphasis on practical learning, students engage in mini-projects, hands-on assignments, and internships that cover essential topics like Data Warehousing, Machine Learning, Big Data Architecture, Python programming, and Cloud Computing. The curriculum also highlights data visualisation techniques using tools such as Microsoft Power BI and Tableau.
Crafted by industry experts, the programme includes professional electives like Data Analytics Pipeline and Big Data Security to align with current market demands. Students gain real-world experience through internships with top companies like Deloitte and Infosys. Emphasising holistic development through Yoga and Peace studies, graduates are well-prepared for leadership roles in the IT sector, supported by 100% placement assistance.
Major Tracks
- Big Data Architecture
- Machine Learning Algorithms
- Cloud Computing
- Data Science and IoT
- Artificial Intelligence
- Cyber Security
Duration & Fees
Duration
2 Years
Applications Open for 2026
Fee Per Year
₹ 2,65,000
Scholarship
| Scholarship for AY 2026-27 | MIT-WPU CET CBT SCORE |
|---|---|
|
Dr. Vishwanath Karad Scholarship |
88 & Above |
|
MIT-WPU Scholarship I |
85 & Above |
|
MIT-WPU Scholarship II |
83 & Above |
Note: Scholarships will be awarded based on the MIT-WPU CET 2026 Computer-Based Test (CBT) score.
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 CGPA across all semesters, attendance is to be maintained at a minimum of 80 percent, with no live backlogs in any subject/programme and no semester break, and there should be no disciplinary action against the student.
For more detailed information visit our website: https://mitwpu.edu.in/scholarships
Eligibility
Minimum 50% aggregate marks in 3/4-year graduation degree in B.Sc. (Computer Science)/ BCA/ BCS/ B.Sc. (IT)/ B.E./ B.Tech./ BBA(CA)/ B.Sc. Data Science/ B.Sc.AI-ML/ B.Sc. Cyber Security/ B.Sc. Cloud Computing/ B.Sc. Big Data Analytics/ B.Sc. Statistics/ B.Sc. Mathletics degree from a UGC-approved institution/university (Minimum 45% aggregate marks for candidates belonging to the Reserved Category from Maharashtra State).
Desirable/ Note: The candidate should have studied Mathematics or Mathematics as one of the subjects at 12th or graduation level.
Selection Process
Admission will be based on the MIT-WPU CET 2026 Entrance Examination and the Personal Interaction (PI) score, conducted by the University as per the prescribed schedule
Programme Highlights
- The programme involves a comprehensive curriculum including statistics, mathematics, and software programming for an in-depth understanding of data collection, organisation, storage, and analysis.
- Students gain practical understanding through hands-on projects, practical assignments, internships, and immersion programmes, involving domains such as Data Warehousing, Machine Learning, Big Data Architecture, Python programming, and Cloud Computing.
- The programme offers proficiency in industry-relevant tools like Microsoft Power BI and Tableau, along with exposure to No-SQL databases and professional electives including Data Analytics Pipeline, Business Analytics, and Big Data Security.
- The curriculum is developed by and delivered by expert faculty with extensive experience in academia, industry, and research.
- Students gain practical exposure from internship opportunities with leading multinational companies such as Deloitte Consulting, Cognizant, Infosys, and L&T Infotech, providing valuable insights into industry demands.
- The programme emphasises the integration of Yoga and Peace studies for holistic development while offering access to a strong global alumni network for enhanced networking and job opportunities.
- The programme curriculum helps develop critical thinking and problem-solving skills among students, preparing them for research-oriented leadership roles in the IT sector.
- The programme also guarantees 100% placement support to help students secure promising careers in the IT sector.
Programme Structure
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
|
I |
PM Artificial Intelligence | PM | 3 |
|
I |
PM Big Data Technologies | PM | 4 |
|
I |
PM Computational Methods for Data Science | PM | 4 |
|
I |
PM Data Warehousing & Data Mining | PM | 2 |
|
I |
PR Mini Project I | PR | 2 |
|
I |
UC Research Methodology | UC | 4 |
|
I |
UC Scientific Studies of Mind, Matter, Spirit, and Consciousness | UC | 2 |
|
I |
UC Yoga | UC | 1 |
|
Total Credits |
22 | ||
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
|
II |
PM Data Analysis using Python | PM | 4 |
|
II |
PM Machine Learning | PM | 4 |
|
II |
PR Mini Project II | PR | 2 |
|
II |
PR Research Paper Writing | PR | 1 |
|
II |
PR Cognitive Skills | PR | 1 |
|
II |
PE Program Elective I (PE I) | PE | 4 |
|
II |
PE Program Elective II (PE II) | PE | 4 |
|
II |
UC Peace Building: Global Initiatives | UC | 2 |
|
Total Credits |
22 | ||
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
|
III |
PM Natural Language Processing | PM | 4 |
|
III |
PM Deep Learning | PM | 4 |
|
III |
PM Cloud Computing | PM | 2 |
|
III |
PR Mini Project III | PR | 2 |
|
III |
PE Program Electives III (PE III) | PE | 4 |
|
III |
PE Program Elective IV (PE IV) | PE | 4 |
|
III |
PR Seminar | PR | 2 |
|
Total Credits |
22 | ||
| Semester | Course Type | Course Name/Course Title | Credits |
|---|---|---|---|
|
IV |
PR Full-Time Industrial Internship | PR | 22 |
|
Total Credits |
22 | ||
| Sr. No | Course Type | Course Name/Course Title |
|---|---|---|
|
II |
Program Elective - I | Data Analysis using SQL |
|
II |
Program Elective - I | Data Visualization in R |
|
II |
Program Elective - I | NodeJS |
|
II |
Program Elective - I | Ethics and Data Privacy |
|
II |
Program Elective - II | NoSQL Databases |
|
II |
Program Elective - II | Business Intelligence |
|
II |
Program Elective - II | Django |
|
II |
Program Elective - II | Data Science and Internet of Things |
|
III |
Program Elective – III | Data Engineering |
|
III |
Program Elective – III | Image Analytics |
|
III |
Program Elective – III | Flask |
|
III |
Program Elective – III | Blockchain Technology |
|
III |
Program Elective – IV | Intelligent Database System |
|
III |
Program Elective – IV | Social Media Analytics |
|
III |
Program Elective – IV | DevOps |
|
III |
Program Elective – IV | iOS Programming |
Career Prospects
Data Scientist
Big Data Analyst
Machine Learning Engineer
Python Developer
PowerBI/Tableau Developer
Data Architect
Programme Outcomes
- The programme offers a comprehensive understanding of data collection, storage, analysis, and effective utilisation of analytics among its students to achieve project goals.
- The curriculum helps the students develop strong critical thinking and problem-solving skills through hands-on projects dealing with real-world challenges.
- Students of this programme gain a research-oriented mindset that helps them innovate and generate new ideas within the fields of data science and big data analytics.
- Graduates of this programme are equipped with leadership skills to lead in different roles and effectively communicate and apply data science concepts in real-world applications.
Placements & Recruiters
100% Placement Assistance
Top Recruiters
FAQs
The core subjects taught under this programme typically include Data Mining, Machine Learning, Statistical Analysis, Data Visualisation, Big Data Technologies, and Database Management Systems. Students also get to learn programming languages such as Python and R, along with tools for data analysis and visualisation.
The curriculum of M.Sc. programmes is designed in alignment with international standards by incorporating contemporary topics and practical applications. MIT-WPU emphasise hands-on learning through projects and internships, ensuring that graduates are equipped with skills that meet global industry demands.
Graduates of M.Sc. in Data Science & Big Data Analytics are in high demand and sought after by top companies across various industries. Prominent employers of these graduates include technology giants like Google, Amazon, and Microsoft, as well as famous consulting firms like Deloitte and Accenture.
admissions@mitwpu.edu.in
