Integrated B.Tech in Electronics and Communication Engineering (Artificial Intelligence and Machine Learning) (Diploma + Degree)

Programme Overview

The MIT-WPU Integrated B.Tech Electronics and Communication Engineering, specialising in Artificial Intelligence and Machine Learning, offers a unique early start for students joining right after the 10th standard. This programme not only imparts comprehensive knowledge in electronics, communication, and the AI-ML domain but also builds a robust foundation from school to university to a career in AI, deep learning, and augmented and virtual reality. Students learn to identify, formulate, and design intelligent solutions for diverse fields such as computer vision, robotics, automotive electronics, biomedical signal processing, healthcare, human-computer interface, and business solutions, among others. This helps in creating a robust foundation for their professional journey at an early stage of life. Industry experts guide them through six years of extensive experiential learning that exposes young minds to hands-on experiences that foster early innovation. This distinctive early advantage lays the foundation for a lifelong trajectory of success in the continually evolving fields of technology, shaping students from a young age into forward-thinking contributors and innovators in the world of AI & ML. MIT-WPU is one of the best btech colleges in Pune.

Major Tracks
  • Edge Intelligence
  • AI in Healthcare
  • AI Computing Platform
  • Deep Learning Architectures
  • Augmented and Virtual Reality
Duration
6 Years

Applications Open for 2025
Programme Name

Integrated B.Tech in Electronics and Communication Engineering (Artificial Intelligence and Machine Learning) (Diploma + Degree)

Fee Per Year

Rs. 1,60,000




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.
  • Guest lectures, seminars, and workshops by industry experts and leaders from multinational corporations
  • 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.
  • Dedicated Industry-Academia Partnerships Center to assist students in obtaining placements in MNCs such as Tata Technologies, Mu Sigma, Cognizant, ZS, Infosys, and others.
  • National Study Program
  • Skill based courses are offered
Programme Outcomes
  • Attain expertise in automation, robotics, and interdisciplinary domains early in academic life, mastering skills crucial for the future.
  • Innovatively develop and implement products and services using cutting-edge tools using creativity and entrepreneurial skills honed from an early stage in life.
  • Apply technical knowledge across disciplines, designing and implementing complex systems in the Industry 4.0 domain, gearing up for future careers in AI, ML, and IoT.
  • Demonstrate leadership and ethical values while actively participating in diverse, multidisciplinary teams, fostering collaboration and interpersonal skills.
  • Cultivate a lifelong learning attitude, proactively seeking professional development, and adapting to the dynamic changes in global technology and industry.
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