B.Tech Computer Science and Engineering (Artificial Intelligence and Data Science)
Explore the forefront of technology with our top B. Tech Computer Science and Engineering (Artificial Intelligence & Data Science) programme. At MIT-WPU, we equip students with a robust foundation in statistics, knowledge discovery, and machine learning, preparing them for the dynamic world of AI and data science. Our curriculum delves into key areas such as big data analytics, data visualisation, cognitive computing, and deep learning, empowering students with analytical and critical thinking skills applicable across various legal, healthcare, and finance sectors.
Students can specialise in major tracks like Systems and Edge Computing, Extended Reality, Business Analytics, and Computational Intelligence. Through experiential learning via industry expert lectures, faculty mentorship, and industry internships, our programme ensures hands-on experience and industry readiness. Graduates emerge adept in data-driven decision-making and advanced analytical techniques, poised to tackle challenges in any setting and drive innovation through smart applications.
- Systems and Edge Computing
- Extended Reality
- Business Analytics
- Computational Intelligence
Applications Open for 2025
B.Tech Computer Science and Engineering (Artificial Intelligence and Data Science)
Information on Scholarship 2025 will be updated shortly. Please check back soon.
The candidates should have appeared in JEE 2025 / MHT-CET 2025 / PERA 2025 / MHT-CET-B* 2025 / NEET* 2025. [*Applicable only for Bioengineering and Food Engineering programme] conducted by the Competent Authority
AND
Minimum 50% aggregate in PCM or PCB* or Physics & Mathematics with any Technical Vocational Subject. Physics, Mathematics/Biology* & English are Compulsory subjects with Chemistry/Biotechnology* or Technical Vocational Courses in 10+2/Class 12th or equivalent examination [*Applicable only for Bioengineering and Food Engineering programme] (at least 45% marks, in case of Reserved category candidate belonging to Maharashtra State only).
OR
Minimum 60% marks in Diploma in Engineering & Technology in an appropriate branch from Government approved technical board.
The selection process for B.Tech programmes is based on JEE 2025/ MHT-CET 2025/ PERA 2025/ MHT-CET-B* 2025/ NEET* 2025 score and a Statement of Purpose (500 words) written by the candidate. [*Applicable only for Bioengineering and Food Engineering programme].
- Core technologies, including Machine Learning, Data Mining, and Product Development, ensure industry-ready graduates.
- Access to state-of-the-art well-equipped labs covering a spectrum of technologies, including Emerging Tech, Edge AI, Big Data Analytics, Data Science, AR/VR, and more.
- Engage in hands-on experience through workshops and courses in Linux, Python, IoT, Data Science tools, Web Technology, Deep Learning, Cyber Security, AR/VR, and Edge Computing.
- Leverage the department's industry partnerships with industry giants like TCS, Capgemini, Volkswagen, Ziroh Labs, NCS, and EC Council, fostering invaluable industry exposure.
- Learn from departmental achievements such as successful startups like HACK-X, Inator LLP, VendOut, and collaborations with leading organisations in Industry 4.0 Technology, Data Privacy, NCS Innovation, and Blockchain Labs.
- Get the opportunity to win cash prizes for innovative industry-driven projects.
- Be part of the dynamic student chapters like ACM, CSI, SWE, IET, ISTE, and clubs such as Innovators Hub, Hack – X, GDSC, Ananta Tantra, Script, and CodersEra for a well-rounded academic and extracurricular experience.
- Utilising Machine Learning, Artificial Intelligence to provide actionable foresight, insight, and hindsight for addressing business and engineering challenges.
- Apply profound knowledge of mathematics, sciences, and engineering principles to devise innovative solutions for intricate computer science and engineering challenges.
- Demonstrate adeptness to discern, precisely formulate, and meticulously scrutinise intricate engineering bugs.
- Design solutions, ensuring system components and processes align with public health, safety, and broader societal and environmental considerations.
- Use research-based knowledge and methodologies, employing experimental design, data analysis, and synthesis to derive valid conclusions for complex problems.
- Create, select, and implement cutting-edge techniques and engineering tools to effectively navigate and contribute to complex engineering activities.
100% placement assistance
admissions@mitwpu.edu.in 
