Integrated B.Tech in Computer Science and Engineering (Artificial Intelligence and Data Science)

Programme Overview

The Integrated B.Tech in Computer Science and Engineering (Artificial Intelligence and Data Science) programme at MIT-WPU is a pioneering initiative designed for students directly transitioning from class 10. It uniquely integrates computer science with cutting-edge technologies such as Artificial Intelligence (AI) and Data Science, providing a comprehensive learning experience. With a curriculum tailored to include advanced topics like Business Intelligence, Edge AI, and Medical Image Processing, this integrated approach offers students a strategic advantage early on in their educational journey. Through early exposure to quantum computing, AR/VR, BI, and Edge AI, students embark on a transformative educational path starting from their school years. The MIT-WPU Integrated B.Tech CSE programme stands out among top engineering courses, offering a holistic foundation for aspiring engineers in the dynamic fields of AI and Data Science.

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
6 Years

Applications Closed 2024
Programme Name

Integrated B.Tech in Computer Science and Engineering (Artificial Intelligence and Data Science)

Fee Per Year

Rs. 1,65,000

Highest CTC
INR 51.36 LPA

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

Scholarship Detailsbharatasmita

*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 there should be no disciplinary action against the student.

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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 Process

The 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.

Programme Highlights
  • 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
  • Build and train deep learning AI models
Programme Outcomes
  • 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.
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