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DURATION

4 years, 8 semesters

SELECTION PROCESS

NMIMS CET/ SAT/ACT Scores

(The NMIMS Common Entrance Test (NCET) is a mandatory university-level examination for admission to Undergraduate Engineering degree programmes at MPSTME.)

ELIGIBILITY

12th class or equivalent from a recognized board with not less than 45% in Physics, Chemistry & Mathematics / vocational subject. Candidates passing out in 2024 can apply.

Board of Studies

Engineering Subjects
  • Dr. Manjunath Joshi

    Professor, DA-IICT.

  • Mr. Sujay Madbhavi

    Data Scientist

  • Dr. Jitendra Mudhol

    Founder and CEO, CollaMeta Sunnyvale, California

  • Dr. Sunil Bhardwaj

    Data Scientist, Consultant (Business Analytics) SaS India.

  • Mr. Vikas Bhusari

    country head – India – consulting sales and delivery – Oracle financial services software limited

Programme Educational Objectives

Programme objectives ensure that graduates of the programme
  • Are adept at solving complex industry problems, such as AI automation in healthcare, agriculture, finance, and more, using cutting-edge technologies to enhance decision-making processes.
  • Utilize their knowledge ethically to create solutions that meet organizational needs while positively impacting society, ensuring no harm is done to end-users or organizations.
  • Stay updated with the latest technological advancements through further studies, on-the-job training, or self-learning, enabling them to innovate and conduct research in emerging AI fields.
Teaching, Learning & Evaluation

The programme’s curriculum is carefully structured to include a balanced mix of foundational, core, and elective courses. Students earn a total of around 170 credits over the four-year B Tech programme, which includes a 7-month industry internship. Each course is designed with lectures and practical sessions to meet educational requirements. The curriculum undergoes annual reviews with input from industry experts to stay relevant.

The school promotes experiential learning alongside traditional classroom teaching methods. This approach is supported by a Learning Management System (LMS) that facilitates learning beyond the classroom through resources like YouTube and online courses. This innovative teaching strategy allows students to learn in diverse ways and emphasizes continuous self-improvement. Assessment is ongoing throughout each semester, with a variety of methods such as open-book exams, quizzes, and viva voce, ensuring that students achieve the learning outcomes defined for each course and the programme as a whole.

Unique features of the Programme
  • Academic collaboration with Virginia Tech.
  • The curriculum developed in coordination with Virginia Tech
  • A strong base of mathematics and statistics to build the fundamentals of artificial intelligence.
  • Virginia Tech faculty to deliver 7 courses in the programme.
  • Project-based learning.
  • Industry internships for experiential learning.
Value Proposition

Graduates of the programme are highly employable due to the innovative teaching methods, diverse evaluation processes, and industry internships. The focus on continuous self-learning equips students with strong research and problem-solving skills in emerging technologies. Additionally, students have many opportunities to develop entrepreneurial skills and start their own businesses.

Pedagogy

To meet the needs of the ‘Y’ Generation, who prefer 24×7 online learning alongside classroom instruction, we offer various delivery methods. These include project-based learning, technology implementation, industry projects, participation in international competitions, and group work. This innovative teaching approach provides students with diverse learning opportunities that align with their ambitions.