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
Duration
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

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Scholarship
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.

For more detailed information visit our website:https://mitwpu.edu.in/scholarships

Eligibility

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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