M.Tech in Data Science and Artificial Intelligence – New Design
June 4, 2025 2025-06-14 17:15M.Tech in Data Science and Artificial Intelligence – New Design

Intake & Venue

Skill Program Domain
Science, Engineering & Technology Skills

Fees (per year)
₹

Specializations
Data Science & Artificial Intelligence
Program Details
The M.Tech in Data Science and Artificial Intelligence at RT-MSSU is designed to shape future leaders in AI-driven decision-making and data-led innovation. This program combines deep theoretical foundations with immersive skill-based training, ensuring students are not just analysts but strategic thinkers and applied innovators in real-world data environments. Built around NEP 2020, the program maintains a 60:40 skill-to-academics ratio and includes hands-on training through labs, simulations, and real-time projects.
The program spans foundational areas like Mathematical Modelling and Data Structures and advances into AI, Machine Learning, Deep Learning, NLP, and Big Data. It is powered by global certifications including Azure AI Fundamentals and Project Management by Google. A full semester of On-the-Job Training (OJT) in the final year guarantees industry readiness. Graduates are equipped for high-impact roles such as Data Scientist, AI/ML Engineer, Business Intelligence Analyst, and Research Engineer.
KHARGHAR | — |
THANE | — |
PUNE | — |
NAGPUR | — |
SECOND YEAR EXIT |
|
THIRD YEAR EXIT |
|
FOURTH YEAR EXIT |
Sample Courses in M.Tech (Data Science & AI)
• Mathematical Foundations for Data Science
• Machine Learning & Pattern Recognition
• Deep Learning with Azure AI Fundamentals
• Natural Language Processing
• Time Series Analysis
• Big Data Analytics
• Evolutionary Learning Systems
• Research Methodology & Industry Project
• Google Project Management Certification
Candidates studying at a Skills University shall have the option of getting job ready by acquiring skills at all semesters through learning by doing and experiential learning. At the skills university the candidates shall be benefited by –
• One year job experience
• 1 NSQF Industry aligned certifications
• 10 Industry aligned certifications
Readiness for following, but not limited to, job roles
• Data Entry Specialist
• Administrative Assistant
• IT Manager
• Child Psychologist
• Family Therapist
• Business Consultant
• Marketing Manager
• Media Psychologist
• Human Resource Manager
• Translator
• Wellness Coach
• International Business Consultant
Admission Details
Higher Secondary School Certificate (10 +2) or its equivalent examination with 40 % marks from any stream (35 % for Reserved category and 40 % marks for open category candidate and English as one of the subjects.
OR
Three-year Diploma Course (after SSC) of Technical Education conducted by the Government of Maharashtra or equivalent.
OR
ITI (1 year’s trade) with one year of apprenticeship completed with industry and certified.
OR
ITI (2 years trade) with 12th equivalent certificate in both cases.
One of the following:
- RT-MSSU
- CUET (Common University Entrance Test)
Aspiring candidates must :
• Fill in the admission form of RT-MSSU
• Have appeared for entrance test conducted by RT-MSSU/CUET.
• Submit the relevant documents to RT-MSSU.
• Submit the Statement of Purpose to RT-MSSU.
• Appear for Interviews conducted by RT-MSSU.
Admissions shall be granted basis a merit list as per the weightage given below:
- Qualifying Exam (HSC/ITI/Diploma): 25%
- Entrance Exam : 25%
- Statement of Purpose & Interview : 15%
- Interview: 35%
NO | DOCUMENT | CATEGORY |
1 | SSC Mark Sheet | All Category |
2 | 11th Mark Sheet | All Category |
3 | 12th Mark Sheet | All Category |
4 | Domicile Certificate | All Category |
5 | Income Certificate | All Category |
6 | TC/LC | All Category |
7 | Caste Validity Certificate | OBC, SC, ST, NJ/NT, EBC, NT-A,NT-B, NT-C,NT-D, VJ, SBC, SEBC |
Curriculum Structure
Semester I
Type | Courses | Credits |
Discipline Core | 4 | |
Discipline Core | 4 | |
Discipline Elective | 3 | |
Skill Enhancement | 2 | |
Ability Enhancement | 3 | |
Value Added Courses | 2 | |
Multi-Disciplinary Courses | 3 | |
Total Credits | 21 |
Semester II
Type | Courses | Credits |
Discipline Core | 4 | |
Discipline Core | 4 | |
Discipline Elective | 3 | |
Skill Enhancement | 2 | |
Ability Enhancement | 3 | |
Value Added Courses | 2 | |
Multi-Disciplinary Courses | 3 | |
Total Credits | 21 |
Semester III
Type | Courses | Credits |
Discipline Core | 4 | |
Discipline Core | 4 | |
Discipline Elective | 3 | |
Skill Enhancement | 2 | |
Ability Enhancement | 3 | |
Value Added Courses | 2 | |
Multi-Disciplinary Courses | 3 | |
Total Credits | 21 |
Semester IV
Type | Courses | Credits |
Discipline Core | 4 | |
Discipline Core | 4 | |
Discipline Elective | 3 | |
Skill Enhancement | 2 | |
Ability Enhancement | 3 | |
Value Added Courses | 2 | |
Multi-Disciplinary Courses | 3 | |
Total Credits | 21 |
Semester V
Type | Courses | Credits |
Discipline Core | 4 | |
Discipline Core | 4 | |
Discipline Elective | 3 | |
Skill Enhancement | 2 | |
Ability Enhancement | 3 | |
Value Added Courses | 2 | |
Multi-Disciplinary Courses | 3 | |
Total Credits | 21 |
Semester VII
Type | Courses | Credits |
OJT | 16 | |
Value Added Courses | Project Management | 2 |
Multi-Disciplinary Courses | Major Project – I | 3 |
Total Credits | 21 |
Semester VIII
Type | Courses | Credits |
OJT | 4 | |
Value Added Courses | Business Ethics | 2 |
Multi-Disciplinary Courses | Major Project – II | 3 |
Total Credits | 21 |