Admission Open 2019-20

VISION

• To achieve Excellence in Computer Science & Engineering Education for Global Competency with Human Values

MISSION

• Provide innovative Academic & Research Environment to develop competitive Engineers in the field of Computer Science Engineering
• Develop Problem-solving & Project Management Skills by Student Centric Activities & Industry Collaboration
• Nurture the Students with Social & Ethical Values

OBJECTIVE

The program will offer students in-depth knowledge of fundamental and experimental concepts, as well as application-oriented technologies in the broad areas of Artificial Intelligence and Machine Learning.

A student completing this program will be capable of undertaking careers in industry as well as academia. Interested students may also follow entrepreneurial endeavours in AI & ML areas.

Students will have the option to explore a variety of domains including finance, security, transportation, healthcare, energy management, agriculture/food processing, population studies, weather prediction, predictive maintenance, smart manufacturing, education, human and robot interaction /intelligent automation, smart city, drug discovery, and aid for differently-abled/accessibility technology.

SALIENT FEATURES

• State-of-the-art Computing Labs: High computing labs powered by NVIDIA graphics card and supercomputing facility PARAM Shavak of CDAC, Pune.
• Well-Designed Curriculum: The curriculum has been designed as per the latest industry demands.
• Choice Based Credit System (CBCS): Students have the option to choose program electives based on their interests.
• Academic Flexibility: Students have the option to choose open electives from other domains (other than computer science) to enhance their skills and more scope for taking up case studies, projects, assignments, and vocational training including entrepreneurship.
• Experiential Learning and Project-based learning: Students gain practical knowledge through projects and research. Introducing Project-based learning an instructional approach designed to allow students to develop knowledge and skills through engaging projects set around challenges and problems they may face in the real world.
• Global Exposure to Students: MoU signed with leading industries and academia to facilitate students with state of art technologies and to make them industry-ready. The Directorate of International Collaborations (DoIC) also facilitates collaborations and partnerships with institutions globally for academic strategies, Student Exchange Programs, Semester Abroad programs (SAP), student mobility (short or long term), and higher education opportunities. These all students' related international activities further serve the determination of enhancing academic standards to meet international dimensions.
• Professional Memberships: Association for Computing Machinery (ACM), Computer Society of India, IEEE, and IEEE Women in Engineering (WIE).
• Holistic Development of Students: Music, Literature, and Dramatics Clubs facilitate students to show their prowess in the cultural arena, under the able guidance of expert faculty. Technical Clubs like the Green Club, Robotics Club, IEEE Students’ chapter, IE(I) and ICEIT chapters, etc. allow the students to learn and update themselves with the latest technologies and showcase their abilities in various fields, outside their scope of study.
• Placements: Placements assistance (Mock Drives/Interviews), Internships Assistance, Placement classes by the expert team of Training and Placement.

CAREER OPPORTUNITIES

As per the report published by Gartner, Artificial Intelligence & Machine Learning will remain one of the top workloads driving infrastructure decisions through 2023.  Worldwide AI software revenue is forecast to be a total of 62.5 billion in 2022 increasing by 21.3% from 2021. A World Economic Forum report states that 97 million new jobs will be created by 2025 due to AI.

The 4-year degree program will nurture and transform the students into highly-skilled professionals to land high-paying AI-ML jobs on various Nationals & International Platforms.

The potential roles as career opportunities after completing the course are

• Machine Learning Experts,
• Data Scientist,
• Data Engineer,
• Project Manager,
• Business Intelligence Analyst,
• Database Administrator, etc.

AREA OF SPECIALIZATION

• Machine Learning
• Deep learning
• Neural Networks
• Cognitive Computing
• Computer Vision
• Natural Language Processing

ELIGIBILITY

MET 2021 Rank Holders

The candidate must have passed 10+2 or A Level or IB or American 12th grade or equivalent examination with Physics, Mathematics and English as Compulsory subjects, along with any one of Chemistry or Computer Science or Biotechnology or Biology or Statistics or Engineering Drawing as optional subject for admission to B Tech, with minimum of 50% marks in Physics, Mathematics and the optional subject, put together.

Direct Admission to the B Tech Programme   

For direct admission (in branches where seats are likely to remain vacant) the following candidates will be eligible:

All remaining MET 2021 rank holders, i.e., those who did not/could not come for counselling

        OR

 All students who have a JEE rank and have qualified for JEE Advanced in that year

        OR

 All other Students with Physics, Mathematics and English as compulsory subjects and who have 50% or equivalent (in PMX subjects) in their 12th std. (where X could be Chemistry/Computers Science/ Biotechnology/Biology/Statistics/ Engineering Drawing).

B. TECH (LATERAL ENTRY) 

Candidates are admitted directly to second year, who have passed 3 year diploma in relevant field of Engineering/BSc (PCM) with a minimum of 50% marks in aggregate can apply for Lateral Entry to B Tech Programmes.

Indian Students Eligibility - Click here

International Students Eligibility - Click here