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

Programme Overview

Explore the forefront of technology with our top B. Tech Computer Science and Engineering (Artificial Intelligence & Data Science) programme. At MIT-WPU, we equip students with a robust foundation in statistics, knowledge discovery, and machine learning, preparing them for the dynamic world of AI and data science. Our curriculum delves into key areas such as big data analytics, data visualisation, cognitive computing, and deep learning, empowering students with analytical and critical thinking skills applicable across various legal, healthcare, and finance sectors.

Students can specialise in major tracks like Systems and Edge Computing, Extended Reality, Business Analytics, and Computational Intelligence. Through experiential learning via industry expert lectures, faculty mentorship, and industry internships, our programme ensures hands-on experience and industry readiness. Graduates emerge adept in data-driven decision-making and advanced analytical techniques, poised to tackle challenges in any setting and drive innovation through smart applications.

Major Tracks
Duration
4 Years

Last Date to Apply : 15 July 2024
Programme Name

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

Fee Per Year

Rs. 3,55,000




Highest CTC
INR 51.36 LPA

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Scholarship
Scholarship Name JEE Percentile MH-CET Percentile
Dr. Vishwanath Karad Scholarship (100%) 97 & Above 98 & Above
MIT-WPU Scholarship I (50%) 96 & Above 97 & Above
MIT-WPU Scholarship II (25%) 95 & Above 96 & Above

Note: Best of JEE or MHT-CET Score will be considered for availing the scholarship.

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 and there should be no disciplinary action against the student.

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

Eligibility

For all B. Tech programmes candidates should have appeared in JEE 2024 / MHTCET 2024 / PERA 2024 / MHTCET-B* 2024 / NEET* 2024 score. [*Applicable only for Bioengineering programme]

Minimum 50% aggregate score in PCM/PCB* or Physics & Mathematics with any Technical Vocational Subject. Physics, Mathematics & English is Compulsory with Chemistry/Biotechnology* or Biology*/Technical Vocational Courses in 10+2/Class 12th or equivalent examination AND 50% aggregate score in Class 12th/HSC.

[*Applicable only for Bio engineering program] (at least 45% marks, in case of Reserved class category candidate belonging to Maharashtra State only) OR
Minimum 60% aggregate score in Diploma in Engineering & Technology in an appropriate branch from UGC approved University (without backlog).

Selection Process

The selection process for B.Tech programmes is based on JEE 2024 / MHTCET 2024 / PERA 2024 / MHTCET-B* 2024 / NEET* 2024 score and a Statement of Purpose (500 words) written by the student for those candidates who meet the Eligibility criteria. [*Applicable only for Bioengineering programme]

Programme Highlights
  • Core technologies, including Machine Learning, Data Mining, and Product Development, ensure industry-ready graduates.
  • Access to state-of-the-art well-equipped labs covering a spectrum of technologies, including Emerging Tech, Edge AI, Big Data Analytics, Data Science, AR/VR, and more.
  • Engage in hands-on experience through workshops and courses in Linux, Python, IoT, Data Science tools, Web Technology, Deep Learning, Cyber Security, AR/VR, and Edge Computing.
  • Leverage the department's industry partnerships with industry giants like TCS, Capgemini, Volkswagen, Ziroh Labs, NCS, and EC Council, fostering invaluable industry exposure.
  • Learn from departmental achievements such as successful startups like HACK-X, Inator LLP, VendOut, and collaborations with leading organisations in Industry 4.0 Technology, Data Privacy, NCS Innovation, and Blockchain Labs.
  • Get the opportunity to win cash prizes for innovative industry-driven projects.
  • Be part of the dynamic student chapters like ACM, CSI, SWE, IET, ISTE, and clubs such as Innovators Hub, Hack – X, GDSC, Ananta Tantra, Script, and CodersEra for a well-rounded academic and extracurricular experience.
  • Utilising Machine Learning, Artificial Intelligence to provide actionable foresight, insight, and hindsight for addressing business and engineering challenges.
Programme Outcomes
  • Apply profound knowledge of mathematics, sciences, and engineering principles to devise innovative solutions for intricate computer science and engineering challenges.
  • Demonstrate adeptness to discern, precisely formulate, and meticulously scrutinise intricate engineering bugs.
  • Design solutions, ensuring system components and processes align with public health, safety, and broader societal and environmental considerations.
  • Use research-based knowledge and methodologies, employing experimental design, data analysis, and synthesis to derive valid conclusions for complex problems.
  • Create, select, and implement cutting-edge techniques and engineering tools to effectively navigate and contribute to complex engineering activities.
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