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

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
Duration
6 Years

Applications Open for 2025
Programme Name

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

Fee Per Year

Rs. 1,95,000




Highest CTC
INR 51.36 LPA

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Scholarship

Information on Scholarship 2025 will be updated shortly. Please check back soon.

Eligibility

Minimum 60% marks in 10th Std. Examination with Science and Mathematics are compulsory subjects from the Government approved board or its equivalent (at least 55% marks, in case of Reserved 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 Examination 2025 & Personal Interaction (PI) score conducted by the University as per schedule.

(The exact date and time of the online Examination and Personal Interaction will be communicated to the candidate once scheduled.)
*Note: MIT-WPU retains the right to make changes to any published schedule. Any other criterion declared from time to time by the appropriate authority as defined under the Act.

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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