Integrated B.Tech in Computer Science and Engineering (Artificial Intelligence and Data Science)
The Integrated B.Tech in Computer Science and Engineering, with specialisation in Artificial Intelligence and Data Science, at MIT-WPU is a pioneering programme crafted for students straight out of class 10. It uniquely integrates computer science with emerging technologies like AI and data science, fostering a holistic learning journey. Going beyond conventional education, it forms a strong foundation from school to university and onwards. With a focus on advanced topics like Business Intelligence, Edge AI, and Medical Image Processing, students gain hands-on experience, preparing them for a dynamic future-ready career in the field of B.Tech CSE artificial intelligence. This unique integrated approach offers a strategic early advantage, propelling budding engineers into a realm of innovation and success. It provides students with early exposure to the realms of quantum computing, AR/VR, BI, Edge AI, and more, taking them on a six-year transformative educational journey from a very early stage of life right from their school years.
Major Tracks- Business Intelligence, Edge AI
- Bio-Inspired Computing, Medical Image Processing
- Human Computer Interface, Augmented Reality & Virtual Reality
- Time Series Analysis & forecasting, Quantum Computing
Last Date to Apply : 10 May 2024
Integrated B.Tech in Computer Science and Engineering (Artificial Intelligence and Data Science)
Scholarship Name | MIT-WPU CET CBT Score | Xth Aggregate Score |
Dr. Vishwanath Karad Scholarship (100%) | 95 & Above | 93 & Above |
MIT-WPU Scholarship I (50%) | 90 & Above | 90 & Above |
MIT-WPU Scholarship II (25%) | 85 & Above | 88 & Above |
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 there should be no disciplinary action against the student.
For more detailed information visit our website:https://mitwpu.edu.in/scholarships
Minimum 60% aggregate score in 10th Grade/ Class 10th Examination with compulsory subjects of Science and Mathematics (at least 55% aggregate score, in case of Reserved Class category candidate belonging to Maharashtra State only)
Selection ProcessThe selection process for the Integrated B.Tech programmes is based on MIT-WPU CET Entrance Exam 2024 & Personal Interaction (PI) score conducted by the University as per schedule.
- Modern facilities are outfitted with the most advanced tools and technologies for research and practical training.
- Dedicated Industry-Academia Partnerships Center to assist students in obtaining placements in MNCs such as Tata Technologies, Mu Sigma, Cognizant, ZS, Infosys, and others.
- Industry internships at Tata Motors, JCB, Volkswagen, John Deere, Sandvik Asia, Force Motors, Bharat Forge, Mercedes Benz, PARI, Alpha Laval, L&T, EATON, Kirloskar Pneumatic Co. Ltd., HAL Nashik, CUMMINS India Ltd., ARAI Pune, and many more.
- MOOCs and interdisciplinary courses are included in the curriculum to help students improve their competencies. Agreements with multinational corporations such as Tata Technologies, Mercedes-Benz, Blue Star, and others.
- National Study Program
- Skill based courses are offered
- Guest lectures, seminars, and workshops by industry experts and leaders from multinational corporations
100% placement assistance
- Gain a distinctive early advantage in expertly implementing AI-based processes, fostering effective decision-making skills in business and governance right from the early stages of education.
- Extract actionable Foresight, Insight, and Hindsight from data, honing problem-solving skills for business and engineering challenges.
- Apply theoretical knowledge of AI and Data Analytics, coupled with hands-on experience with industrial tools, to address complex societal issues, providing practical solutions.
- Develop proficiency in data analytics, data visualisation, knowledge acquisition, representation, and engineering project coordination, building a robust skill set for versatile roles.
- Conduct fundamental research using cutting-edge AI technologies, addressing critical societal needs, instilling a commitment to lifelong learning from the onset and adapting to the ever-evolving landscape of engineering and technology.