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Home / Syllabus / B.E. (Artificial Intelligence and Data Science) / SY BE AI and DS / Semester 3 / Entrepreneurship Development

B.E. (Artificial Intelligence and Data Science) Entrepreneurship Development Syllabus - Mumbai University

This is the SY BE AI and DS syllabus under NEP 2020, in force from the academic year 2025-26. The third and fourth years of this degree are still taught on the earlier CBCS REV-2019 'C' Scheme, because the University has published no NEP syllabus for Semesters V to VIII of any engineering branch.

Entrepreneurship Development.pdf
Semester 3 · SY BE AI and DS · NEP 2020

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Syllabus for Entrepreneurship Development

Semester 3 · SY BE AI and DS · NEP 2020

Module Prerequisite 01 hours

  • Prerequisite Fundamentals of communication and leadership skills.
  • Introduction to Entrepreneurship Definition, Characteristics, and Types of Entrepreneurs. Entrepreneurial Motivation and Traits. Start-up Ecosystem in India. Challenges in Entrepreneurship
  • Business Idea Generation & Validation Ideation Techniques: Design Thinking, Brainstorming, Mind Mapping. Business Model Canvas (BMC). Market Research & Customer
  • Validation. Minimum Viable Product (MVP) Concept.
  • Business Planning & Strategy Writing a Business Plan. SWOT Analysis and Competitive Analysis. Financial Planning and Budgeting. Risk Assessment and Management
  • Funding and Legal Framework Sources of Funding: Bootstrapping, Angel Investors, Venture Capital Government Schemes & Start-up India Initiatives. Business Registration & Legal Formalities. Intellectual Property Rights (IPR) & Patents
  • Marketing & Digital Presence Branding and Digital Marketing. Social Media Marketing & SEO. Customer Relationship Management (CRM). E-commerce & Online Business Models
  • Business Pitching & Prototype Development Pitch Deck Preparation & Presentation Techniques. Prototyping with Open-source Tools. Elevator Pitch & Investor Pitch. Case Studies of Successful Start-ups

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.

References

  • 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 References

  • 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 /

Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Data Science), item 6.20 (N), under NEP 2020, in force from the academic year 2025-26. Wording, module numbering and hours are as printed in that syllabus.

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 B.E. Artificial Intelligence and Data Science - First Year, Semester I and II - NEP 2020 - Item 7.7 (R-A) NEP 2020, Semesters I and II, in force from 2024-25 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Second Year, Semester III and IV - NEP 2020 - Item 6.20 (N) NEP 2020, Semesters III and IV, in force from 2025-26 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Third Year, Semester V and VI - CBCS REV-2019 C Scheme - Item 6.42 (R) CBCS REV-2019 'C' Scheme, Semesters V and VI, in force from 2022-23 Read full PDF Read
PDF B.E. Artificial Intelligence and Data Science - Fourth Year, Semester VII and VIII - CBCS REV-2019 C Scheme - Item 6.12 (N) CBCS REV-2019 'C' Scheme, Semesters VII and VIII, in force from 2023-24 Read full PDF Read
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