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B.E Artificial Intelligence and Machine Learning Entrepreneurship Development Syllabus - Mumbai University

This is the Second Year AI-ML syllabus under NEP 2020, in force from the academic year 2025-26. 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.

Entrepreneurship-Development.pdf
Semester 3 · Second Year AI-ML · 2 credits · 50 marks

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Syllabus for Entrepreneurship Development

Semester 3 · Second Year AI-ML · 2 credits · 50 marks

Module 0: Prerequisite

Module I: Introduction to Entrepreneurship

Module II: Business Idea Generation & Validation

Module III: Business Planning & Strategy

Module IV: Funding and Legal Framework

Module V: Marketing & Digital Presence

Module VI: Business Pitching & Prototype Development

Text Books

  • 1 "Entrepreneurship Development and Small Business Enterprises" – Poornima M. Charantimath, Pearson, 3rd Edition, 2021.
  • 2 "Innovation and Entrepreneurship" – Peter F. Drucker, Harper Business, Reprint Edition, 2019.
  • 3 "Startup and Entrepreneurship: A Practical Guide" – Rajeev Roy, Oxford University Press, 2022.
  • 4 "Essentials of Entrepreneurship and Small Business Management" – Norman Scarborough, Pearson, 9th Edition, 2021.
  • 5 "The Lean Startup" – Eric Ries, Crown Publishing, 2018.
  • 1 "Disciplined Entrepreneurship: 24 Steps to a Successful Startup" – Bill Aulet, MIT Press, 2017.
  • 2 "Zero to One: Notes on Startups, or How to Build the Future" – Peter Thiel, 2014.
  • 3 "The $100 Startup" – Chris Guillebeau, Crown Business, 2019.
  • 4 "Business Model Generation" – Alexander Osterwalder & Yves Pigneur, Wiley, 2020.
  • 5 "Blue Ocean Strategy" – W. Chan Kim & Renée Mauborgne, Harvard Business Review Press, 2019. Online Resources:
  • 1 Startup India Portal – https://www.startupindia.gov.in
  • 2 MIT OpenCourseWare – Entrepreneurship – https://ocw.mit.edu/courses/sloan school-of-management/
  • 3 Coursera – Entrepreneurship Specialization https://www.coursera.org/specializations/entrepreneurship
  • 4 Harvard Business Review – Entrepreneurship Articles https://hbr.org/topic/entrepreneurship
  • 5 Udemy – Startup & Business Courses https://www.udemy.com/courses/business/entrepreneurship/ List of Experiments. Sr No List of Experiments Hrs
  • 01 Business Idea Generation using Mind Mapping. 02
  • 02 Conducting Market Research & Customer Validation. 02
  • 03 Preparing a Business Model Canvas for a Startup Idea. 02
  • 04 Developing a Financial Plan & Break-even Analysis. 02
  • 05 Creating a Website using WordPress/Wix. 02
  • 06 Social Media Marketing Campaign using Open-source Tools. 02
  • 07 Digital Prototyping using Figma/Inkscape. 02
  • 08 Business Pitch Deck Preparation & Presentation. 02
  • 09 Exploring Government Schemes for Startups. 02
  • 10 Legal Compliance & IPR Basics (Case Study). 02 Sr No List of Assignments / Tutorials Hrs a. Write a report on any successful entrepreneur and their startup journey. 01 02 b. Conduct SWOT analysis for a real-life startup.
  • 02 Develop a business idea and create a one-page business plan. 02
  • 03 Conduct market research using surveys & present findings. 02
  • 04 Design a simple logo and branding strategy for a startup. 02
  • 05 Create a financial model and cost estimation for a startup. 02
  • 06 Make a case study report on startup failure analysis. 02 List of Open-Source Software
  • 1 Canva – Designing pitch decks, social media posts, and branding materials.
  • 2 Trello / Asana – Project management for startups.
  • 3 GIMP / Inkscape – Graphic design and logo creation.
  • 4 WordPress / Wix – Website development for startups.
  • 5 OpenCart / PrestaShop – E-commerce website setup.
  • 6 Figma – UI/UX design and prototyping.
  • 7 LibreOffice Calc – Financial planning and budgeting.
  • 8 Google Suite (Docs, Sheets, Slides) – Documentation and presentations.
  • 9 Python (Pandas, Flask, Django) – Data analytics and web application development.
  • 10 MailChimp – Email marketing and customer engagement.

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) under NEP 2020, in force from the academic year 2025-26. Wording is as printed in that syllabus. Module numbering is as printed there too.

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 7.8 (R-A) B.E. (Artificial Intelligence and Machine Learning) Sem I & II (Revised, NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.21 (N) B.E. (Artificial Intelligence and Machine Learning) Sem III & IV (NEP 2020) NEP 2020 syllabus Read full PDF Read
PDF 6.42 (R) B.E. (Artificial Intelligence and Machine Learning) Third Year, Sem V & VI (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
PDF B.E. (Artificial Intelligence and Machine Learning) Fourth Year, Sem VII & VIII (REV-2019 'C' Scheme) REV-2019 'C' Scheme syllabus Read full PDF Read
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