B.Tech Computer Science and Engineering (Artificial Intelligence and Data Science)
Programme Overview
The B.Tech in Computer Science & Engineering (Artificial Intelligence & Data Science) at MIT World Peace University (MIT-WPU) is a future-focused programme designed to develop next-generation AI professionals, data scientists, and intelligent systems engineers capable of addressing complex global challenges. The curriculum integrates strong foundations in computer science, mathematics, and data science with cutting-edge advancements in Artificial Intelligence, Generative AI, Agentic AI, Machine Learning, Deep Learning, Large Language Models (LLMs), Edge AI, and Responsible AI.
Students gain hands-on expertise in designing, developing, and deploying intelligent solutions using modern AI frameworks, Smart and Intelligent computing, high-performance computing, data engineering, and MLOps. The programme emphasizes experiential learning through AI laboratories, live industry projects, hackathons, internships, research, and interdisciplinary innovation, enabling students to solve real-world problems across sectors such as healthcare, finance, manufacturing, smart cities, security, sustainability, agriculture, and digital enterprises.
The curriculum is continuously bench-marked with global technology trends and industry requirements, incorporating emerging domains including Multimodal AI, AI Agents, Retrieval-Augmented Generation (RAG), Explainable AI (XAI), Internet of Things (IoT), Computer Vision, and Natural Language Processing (NLP). Students are encouraged to pursue industry certifications, research publications, entrepreneurship, and global collaborations, preparing them for careers in AI engineering, data science, intelligent automation, and advanced research.
Graduates of the programme are equipped with the technical expertise, innovation mindset, ethical perspective, and leadership skills required to thrive in the AI-driven economy and contribute meaningfully to Industry 5.0.
Vision
To be an academic centre of excellence in Computer Science and Engineering to cater to societal needs.
Mission
M1 : To create conducive environment for nurturing integrity, discipline and technical knowledge in emerging areas of computer science and engineering.
M2 : To encourage students to work in trans-disciplinary domain in collaboration with industry and to inculcate research mindset.
M3 : To develop globally competent graduates to provide solutions for societal problems.
Programme Educational Objectives (PEOs)
PEO-1 Competent Professionals : Identify and effectively solve real life problems with sustainable solutions.
PEO-2 Multifaceted Professionals : Exhibit technical knowledge, research aptitude and innovative mindset to excel in multidisciplinary domains.
PEO-3 Ethical Professionals : Pursue ethical values, leadership and interpersonal skills during their professional careers for well-being of society.
Program Specific Outcomes (PSOs)
PSO-1 : Analyse, design and develop computer-based systems to solve real life problems by applying knowledge of Computer Science and Engineering.
PSO-2 : Apply knowledge acquired through self-learning to implement computing systems in diverse domains of Computer Science and Engineering.
PSO-3 : Constructive mindful approach to architect innovative IT solutions with acumen for entrepreneurship, research and zest for higher studies.
Major Tracks
- Generative AI and Agentic AI
- AI Engineering
- Data Science and Business Analytics
- Computer Vision
- Computational Intelligence and Intelligent Decision Systems
- Natural Language Processing and Conversational AI
- Edge AI, IoT and Embedded Intelligence
- Bioinformatics
- Extended Reality (AR/VR/MR)
Duration & Fees
Duration
4 Years
Last Date to Apply : 19th Aug 2026
Fee Per Year
₹ 4,10,000
Scholarship
| Scholarship for AY 2026-27 | JEE Main Percentile | MH-CET Percentile |
|---|---|---|
|
Dr. Vishwanath Karad Scholarship (100%) |
97 & Above |
98 & Above |
|
MIT-WPU Scholarship I (50%) |
96 & Above |
97 & Above |
|
MIT-WPU Scholarship II (25%) |
95 & Above |
96 & Above |
Note: Best of JEE 2026 or MHT-CET 2026 Score will be considered for availing the scholarship.
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
A minimum of 50% aggregate marks in Class 10+2/ HSC, with English as a compulsory subject and A minimum of 50% aggregate marks in any one of the following subject groups:
- PCM (Physics, Chemistry, Mathematics),
- Physics & Mathematics with any Technical Vocational Subject
- PCB* (Physics, Chemistry, Biology*),
[*Biology/Biotechnology is applicable only for the Bioengineering Programme.] (Minimum 45% aggregate marks for candidates belonging to the Reserved Category from Maharashtra State).
OR
A minimum 60% aggregate marks in a Diploma in Engineering & Technology in a relevant branch from a government-approved technical board.
Selection Process
Admissions are based on the scores of JEE 2026/ MHT-CET 2026/ PERA-CET 2026, or MHT-CET-B* 2026/ NEET 2026* (*applicable only for the Bioengineering programme), along with a 500-word Statement of Purpose (SOP) written by the candidate
Programme Highlights
- Innovative Curriculum : The curriculum is always up to date and includes the emergent modern technologies such as Artificial Intelligence, Machine Learning and Data Science
- World Class Laboratories : Get hands-on experience using NVIDIA RTX A6000 GPUs, AIoT SerBot Prime X Robots, and other high-end equipment.
- Industry Collaboration : Work at top companies like TCS, Capgemini, Volkswagen, etc., through industry collaboration.
- Comprehensive Growth : Benefit from vibrant student chapters like the Association for Computing Machinery (ACM) Club, Computer Society of India (CSI) & the Institute of Electrical and Electronics Engineers (IEEE) with exciting activities for both academic and co-curricular advancement.
- National and International Programmes : Get global exposure through rural, national and international immersion programmes.
Programme Structure
| Semester | Course Type | Course Name/Course Title | Total Credits |
|---|---|---|---|
| I | UC | Indian Constitution | 1 |
| I | UC | Environment and Sustainability | 1 |
| I | UC | Yoga - I | 1 |
| I | UC | Social Leadership Development Program | 1 |
| I | UC | Financial Literacy | 1 |
| I | UC | Python Programming | 2 |
| I | PF | Linear Algebra and Differential Calculus | 3 |
| I | PF | Engineering Chemistry | 3 |
| I | PF | Engineering Physics | 3 |
| I | PF | Engineering Graphics | 3 |
| I | PF | Ideas and Innovations in Manufacturing | 1 |
| Semester | Course Type | Course Name/Course Title | Total Credits |
|---|---|---|---|
| II | UC | Yoga - II | 1 |
| II | UC | Co-creation | 1 |
| II | UC | Foundation of Peace | 2 |
| II | UC | Indian Knowledge System (General) | 2 |
| II | UC | Sports | 1 |
| II | PF | Engineering Mechanics | 3 |
| II | PF | Foundations of Programming | 4 |
| II | PF | Discrete Mathematics with Graph Theory | 3 |
| II | PF | Foundations of Computer Architecture and System Design | 4 |
| Semester | Course Type | Course Name/ Course Title | Total Credits |
|---|---|---|---|
| III | UC | Spiritual and Cultural heritage: Indian Experience | 2 |
| III | UC | Research Innovation Design Entrepreneurship (RIDE) | 1 |
| III | PF | Calculus and Numerical Methods | 4 |
| III | PF | Data Structures | 3 |
| III | Program Capstone Project/Seminar and Internships | Data Structures Laboratory | 1 |
| III | Program Capstone Project/Seminar and Internships | Web Technology Laboratory | 1 |
| III | PM | Database Management Systems | 3 |
| III | PM | Database Management Systems Laboratory | 1 |
| III | PM | Software Engineering and Modelling | 2 |
| III | PM | Software Engineering and Modelling Lab | 1 |
| III | UE | University Electives | 1 |
| Semester | Course Type | Course Name/ Course Title | Total Credits |
|---|---|---|---|
| IV | UC | Rural Immersion | 1 |
| IV | UC | Life Transformation Skills | 1 |
| IV | UE | University Electives - II | 3 |
| IV | PF | Probability and Statistics | 4 |
| IV | PM | Data Engineering Concepts | 2 |
| IV | PM | Data Engineering Concepts Laboratory | 1 |
| IV | PF | Artificial Intelligence and Expert Systems | 2 |
| IV | Program Capstone Project/Seminar and Internships | Artificial Intelligence and Expert Systems Laboratory | 1 |
| IV | PM | Advanced Data Structures | 3 |
| IV | Program Capstone Project/Seminar and Internships | Advanced Data Structures Laboratory | 1 |
| IV | PM | Object Oriented Programing Laboratory | 1 |
| IV | Program Capstone Project/Seminar and Internships | Cognitive Skills | 1 |
| IV | Program Capstone Project/Seminar and Internships | Seminar | 1 |
| Semester | Course Type | Course Name/Course Title | Total Credits |
|---|---|---|---|
| V | UC | Managing Conflicts Peacefully: Tools and Techniques | 2 |
| V | UE | University Electives - III | 3 |
| V | PM | Data Visualization | 1 |
| V | PM | Machine Learning | 3 |
| V | PM | Machine Learning Lab | 1 |
| V | PM | Operating Systems | 3 |
| V | PM | Operating Systems Laboratory | 1 |
| V | PM | Theory of Computation | 3 |
| V | PF | Embedded Systems and IOT Laboratory | 1 |
| V | PE | Program Elective - I | 4 |
| Semester | Course Type | Course Name/Course Title | Total Credits |
|---|---|---|---|
| VI | UC | National Academic Immersion Program | 2 |
| VI | PE | Program Elective - II | 4 |
| VI | PM | Deep Learning | 3 |
| VI | PM | Deep Learning Laboratory | 1 |
| VI | PM | Cognitive Computing and Natural Language Processing | 3 |
| VI | Program Capstone Project/Seminar and Internships | Cognitive Computing and Natural Language Processing Lab | 3 |
| VI | Program Capstone Project/Seminar and Internships | Tools for Data Science | 1 |
| VI | Program Capstone Project/Seminar and Internships | Competitive Coding | 1 |
| VI | Program Capstone Project/Seminar and Internships | Mini Project using Java Programming | 1 |
| VI | PM | Design and Analysis of Algorithm | 3 |
| Semester | Course Type | Course Name/Course Title | Total Credits |
|---|---|---|---|
| VII | Program Major | Bigdata Technologies | 4 |
| VII | Program Major | Distributed and Cloud Computing | 4 |
| VII | Program Capstone Project/Seminar and Internships | Capstone Project | 6 |
| VII | Program Major | Network and Cyber Security | 4 |
| VII | Program Electives | Program Elective - III | 4 |
| Semester | Course Type | Course Name/Course Title | Total Credits |
|---|---|---|---|
| VIII | PE | Program Elective - IV | 4 |
| VIII | Program Capstone Project/Seminar and Internships | Internship | 10 |
Career Prospects
AI Engineer
Data Analysts
Data Engineer
AI Architect
Programme Outcomes
- Engineering knowledge : Apply knowledge of mathematics, science, computing, engineering fundamentals and an engineering specialization as specified to develop to the solution of complex engineering problems.
- Problem analysis : Identify, formulate, review research literature and analyze complex engineering problems reaching conclusions with consideration for sustainable development.
- Design/Development of solutions : Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations
- Conduct Investigations of Complex Problems : Conduct investigations of complex problems by applying research methodologies, creative design thinking, and analytical techniques to generate valid and evidence-based conclusions.
- Engineering Tool Usage : Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
- The Engineer and The World : Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
- Ethics : Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice
- Individual and Collaborative Team work : Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- Communication : Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- Project Management and Finance : Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
- Life-Long Learning : Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change
Placements & Recruiters
100% Placement Assistance
Top Recruiters
FAQs
AI & DS or Artificial Intelligence and Data Science and helps in analysing huge amounts of data to extract useful insights and patterns. The core areas in the curriculum are structured to contain a blend of theoretical and application-based studies. You will learn machine learning, data mining, AI algorithms, and deep learning, which are core areas of modern AI technologies. The programme also covers big data analytics, IoT, Blockchain, and AR/VR as special topics where you will have practical exposure in Python programming, etc.
Yes, students can work on industry-oriented projects extensively. Benefit from real-life experience by collaborating with leading companies on current business challenges. You can use these projects to utilise the theoretical part that you have learned in your academic phase into some real-life solutions such as creating a machine learning model, working on big data analytics, and many more IoT solutions.
Yes, you can pursue M. Tech or MS in niche areas, such as AI, Data Science, and Computer Science, after completing the undergraduate programme. Pursuing higher studies will enable you to specialise in either AI or data science and provide suitable avenues for research, development, or academic positions.
When it comes to technology fields such as AI and Data Science, MIT-WPU provides a supportive environment with great mentorship for aspiring professionals. Following are the top reasons to pursue the programme:
Cutting-Edge Curriculum
With an undergraduate programme in CSE (B.Tech CSE), you get introduced to AI, Data Science, Machine Learning, Blockchain etc.
Hands-on Learning
You will get hands-on projects, internships and industry collaborations involving the latest technologies in AI and IoT.
Industry-Ready Skills
This programme imparts high-demand skills in Cyber Security, Software Development, and Computer Vision, making you job-ready for multiple tech roles.
International Exposure and Assistant in Career
We give you 100% internship support, exposure to the world of industry and technical expertise with connections with alumni at various levels to give you the boost that you need in your career.
Entrepreneurial Mindset
There are many supports to kick start your own venture like the MIT-WPU technology business incubator (TBI), which supports funding, mentorship & Networking.
The ‘Oxford of Pune’
Being in Pune — a city known for its innovation, MIT-WPU allows you the opportunity to collaborate with the global network and industry leaders.
admissions@mitwpu.edu.in
