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B.Sc. (Data Science) On Job Training Syllabus - Mumbai University 2026

This is the Fourth Year BSc Data Science Honours syllabus under NEP 2020, phased in one year at a time, from the academic year 2024-25. The University still sets the earlier Choice Based papers alongside it for ATKT candidates, so check which scheme your exam form names before you revise.

On Job Training Syllabus.pdf
Major · Semester 8 · Fourth Year BSc Data Science Honours · 4 credits

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Syllabus for On Job Training

Major · Semester 8 · Fourth Year BSc Data Science Honours · 4 credits

MU’s own text for this block describes it as part of the M.Sc. Computer Science programme. It is printed that way in the B.Sc. (Hons.) in Data Science circular this page is cut from, and is reproduced here as the University set it.

Module I: Introduction printed in the syllabus as Module A

  • On Job training (OJT) is an integral component of the M.Sc. Computer Science program that provides students with a unique opportunity to bridge the gap between theoretical knowledge gained in the classroom and practical application in a real- world environment. This training aims to equip students with both technical and non- technical skills that are essential for success in the industry.
  • By participating in OJT, students are able to apply the concepts and theories learned during their coursework to real-world scenarios. They gain hands-on experience, problem-solving skills, and a deeper understanding of how the industry operates. This practical exposure enhances their competence and confidence, preparing them to tackle the challenges they may encounter in their professional careers.
  • From an organizational perspective, hosting OJT programs allows companies to gain insights into the curriculum and content of the M.Sc. Computer Science program. They can provide valuable feedback on the relevance of the coursework and industry requirements, enabling academic institutions to continually improve the program's alignment with industry needs. This collaboration between academia and industry fosters a mutually beneficial relationship, ensuring that graduates are well-prepared for the job market.
  • Moreover, OJT benefits the faculty members involved in the program. They have the opportunity to gain firsthand exposure to the industry and observe the type of work being performed. This experience enables them to enhance their teaching methodologies and delivery techniques, ensuring that they remain up-to-date with the latest industry practices. The insights gained from OJT also enable faculty members to provide relevant guidance and mentorship to students, preparing them for successful careers in the field of computer science.

Module II: Enhancing Practical Skills through OJT printed in the syllabus as Module B

  • The On the Job Training (OJT) program spans 4-6 weeks, requiring a minimum of 120 hours of physical presence at the organization.
  • Students are expected to find their own OJT placements, although the institution provides support and guidance in securing positions with reputable organizations.
  • OJT must be conducted outside the home institution to expose students to real-world work environments.
  • OJT covers any subject within the syllabus, allowing students to align their experience with their academic interests.
  • In recognition of changing dynamics, some OJT sessions can be conducted online to accommodate virtual work environments.
  • OJT will offer students the opportunity to apply classroom learning in a real-world setting, fostering the development of technical and non-technical skills.
  • Mutual Benefits: Organizations gain insights into the program's curriculum and industry requirements, enabling them to provide constructive feedback and enhance course relevance.
  • OJT bridges the gap between theoretical knowledge and practical application, preparing students for successful careers in computer science

Module III: Interning organization: Students have the flexibility to pursue their OJT in various printed in the syllabus as Module C

  • types of organizations, including but not limited to:
  • Software Development Firms: Gain practical experience in software development and programming.
  • Hardware/Manufacturing Firms: Learn about hardware design, manufacturing processes, and quality assurance.
  • Small-Scale Industries/Service Providers: Explore opportunities in diverse sectors such as banking, clinics, NGOs, and professional institutions like CA firms or law firms.
  • Civic Departments: Engage with local civic departments such as ward offices, post offices, police stations, or panchayats to understand their functioning and contribute to their activities.
  • Research Centre’s/University Departments/Colleges: Contribute as research assistants or in similar roles for research projects or initiatives, fostering collaboration between academia and industry.

Reproduced from the University of Mumbai syllabus for B.Sc. (Data Science) under NEP 2020. Wording is as printed in that syllabus. Modules are numbered in sequence here; in the syllabus itself, Module I is printed as Module A; Module II is printed as Module B; Module III is printed as Module C. The PDF above is the syllabus's own page, unaltered.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

PDF 2024 25 DS SEM I & II NEP NEP 2020 syllabus, in force from 2024-25 Read full PDF Read
PDF 2023 24 BSc Data Science Sem V & VI Earlier Choice Based syllabus, still set for ATKT candidates Read full PDF Read
PDF 2021 22 BSc Data Science Sem III & IV Earlier Choice Based syllabus, still set for ATKT candidates Read full PDF Read
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