

B.Tech (Data Science) at Universal AI University
The B.Tech in Data Science at Universal AI University is a future-focused undergraduate program designed to develop experts who can analyze, interpret, and transform data into strategic insights. The program blends computer science, statistics, artificial intelligence, and real-world applications, making students industry-ready for data-driven careers.
Quick Facts
| Details | Information |
|---|---|
| University | Universal AI University |
| Course Name | B.Tech in Data Science |
| Duration | 4 Years |
| Location | Karjat, Mumbai, Maharashtra |
| Tuition Fees | INR 3.98 Lakhs per year |
| Academic School | School of AI & Future Technologies |
| Experiential Learning | 62.5% |
| AI Lab Work | 31% |
| Internships | 2 Mandatory Internships |
| Placement Support | 100% Assistance |
Program Overview
The B.Tech Data Science program focuses on extracting insights from large and complex datasets using modern tools and technologies. Students gain hands-on exposure to data analytics, machine learning, visualization, cloud computing, and big data systems, supported by advanced labs and industry projects.
Andragogy (Learning Structure)
| Component | Credits | Percentage |
|---|---|---|
| Knowledge (KL) | 68 | 41.98% |
| AI Lab Work (LW) | 78 | 48.15% |
| Skill Development (SD) | 4 | 2.47% |
| Attitude (AT) | 4 | 2.47% |
| Green & Sustainability (GS) | 8 | 4.94% |
| Total | 162 | 100% |
Experiential Learning accounts for 62.5% of the curriculum.
Year-Wise Curriculum Snapshot
Year 1
- Programming Fundamentals
- Applied Mathematics
- Engineering Physics
- Database Management Systems
- Python Programming
- SMART Project + Leadership Development
- IT Workshop
Exit Option: Certification (3D Printing, Digital Marketing)
Year 2
- Foundations of Data Science & AI
- Data Structures using C
- Advanced Python Programming
- Data Warehousing & Decision Support Systems
- Java Programming
- Mini Project I
- Summer Internship Program (SIP-1)
Exit Option: Diploma (Web Technology, IoT Applications)
Year 3
- Natural Language Processing
- Time Series Modelling & Forecasting
- Deep Learning (Neural Networks)
- Data Visualization using R
- Mini Project II
- Summer Internship Program (SIP-2)
Exit Option: B.Voc (Advanced Data Visualization, Ethical Hacking)
Year 4
- Big Data Technologies
- Cloud Computing for AI & Data Science
- Generative AI Applications
- Human-Machine Interaction
- Capstone Project (Phase 1 & 2)
- On-Job Training (OJT)
Eligibility Criteria
- 10+2 with Physics, Mathematics & English
- Minimum 70% aggregate in PCM (Indian Board)
- Appeared in JEE / PERA / MHT-CET
- Diploma holders: Minimum 60% aggregate (no backlog)
- IB Board: Minimum 20 IB points
- Cambridge Board: Minimum 2 subjects
Selection Criteria Weightage
| Component | Weightage |
|---|---|
| Academics | 20% |
| SOP | 10% |
| Extra-Curricular Activities | 20% |
| UAIAT / National Test | 25% |
| Personal Interview | 25% |
Fees Structure
| Course | Duration | Tuition Fees |
|---|---|---|
| B.Tech Data Science | 4 Years | INR 3.98 Lakhs / Year |
| Lateral Entry | As per Entry Level | INR 4.98 Lakhs / Year |
Program Highlights
- India’s First Multi-Disciplinary & Inter-Disciplinary Curriculum
- 2 Internships
- 2 CMAPS (Collaborative Multi-disciplinary Approach)
- 1 SMART Project
- 3 Years Leadership Development
- 1 Research Paper
- 1 Capstone Project
- 1 SDG Project
- 1 AI Lab Project
- 31% AI Lab Work
- 62.5% Experiential Learning
Academic Industry Partner
LTIMindtree
A strategic academic partnership with LTIMindtree, a multi-billion-dollar global IT company, supporting:
- Curriculum design
- Industry-led teaching
- Internships
- Final placements
Career Scope & Job Roles
Graduates can pursue careers across IT, finance, healthcare, e-commerce, and analytics domains.
| Role | Industry |
|---|---|
| Data Scientist | IT, Finance, Healthcare |
| Data Analyst | Banking, E-commerce |
| Machine Learning Engineer | AI & Tech Firms |
| Business Intelligence Analyst | Consulting |
| Big Data Engineer | Cloud & Analytics |
| AI/Data Consultant | Global Firms |
Why Choose Universal AI University for Data Science?
- Fully AI-focused university
- Strong industry integration
- Advanced AI & Data Science Labs
- Global exposure & certifications
- High employability & skill-based learning
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