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CM40179: Entrepreneurship

[Page last updated: 06 October 2022]

Academic Year: 2022/23
Owning Department/School: Department of Computer Science
Credits: 6 [equivalent to 12 CATS credits]
Notional Study Hours: 120
Level: Masters UG & PG (FHEQ level 7)
Period:
Semester 2
Assessment Summary: CW 100%
Further information on unit assessment Assessment Detail:
  • Assessment detail data for this unit is currently being updated as a change has been approved. Updated assessment information will be published here shortly.
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes: Having taken this module, students should be able to:
1. Identify and analyse market opportunity.
2. Develop business strategy to take advantage of that opportunity.
3. Critically consider key operational issues.
4. Investigate alternative funding and financial strategies.
5. Identify and address key IPR, legal, social, ethical and professional issues
6. Locate and use entrepreneurial resources
7. Develop a business plan.

Aims:
* Develop critical understanding of different schools of entrepreneurial thought
* Develop critical understanding of the importance of entrepreneurship in developing an invention or process into a solid business proposition.
* Develop key skills in business and operational planning
* Develop systematic understanding of key business risk (including but not limited to financial, legal, professional, ethical and environmental risks).
* Develop key skills in the development of a business idea from initial concept to business plan.

Skills: Analytical skills (T/A), decision making (F/A), communication (F/A), group work (F/A), project management (F/A), ethical issues (T/A), legal issues (T/A), IPR issues (T/A).

Content: The course will cover the following content:
* History of entrepreneurial thought, finding and developing an idea, market analysis, corporate structure, business funding, hiring, operations, marketing, risk management, legal, social, ethical and professional issues, writing a business plan.

Programme availability:

CM40179 is Compulsory on the following programmes:

Department of Computer Science
  • USCM-AFM01 : MComp(Hons) Computer Science (Year 3)
  • USCM-AAM02 : MComp(Hons) Computer Science with Study year abroad (Year 3)
  • USCM-AKM02 : MComp(Hons) Computer Science with Year long work placement (Year 3)
  • USCM-AFM27 : MComp(Hons) Computer Science and Artificial Intelligence (Year 3)
  • USCM-AAM27 : MComp(Hons) Computer Science and Artificial Intelligence with Study year abroad (Year 3)
  • USCM-AKM27 : MComp(Hons) Computer Science and Artificial Intelligence with Year long work placement (Year 3)

CM40179 is Optional on the following programmes:

Department of Computer Science
  • TSCM-AFM39 : MSc Computer Science
  • USCM-AFB06 : BSc(Hons) Computer Science (Year 3)
  • USCM-AAB07 : BSc(Hons) Computer Science with Study year abroad (Year 4)
  • USCM-AKB07 : BSc(Hons) Computer Science with Year long work placement (Year 4)
  • USCM-AFB27 : BSc(Hons) Computer Science and Artificial Intelligence (Year 3)
  • USCM-AFB20 : BSc(Hons) Computer Science and Mathematics (Year 3)
  • USCM-AAB20 : BSc(Hons) Computer Science and Mathematics with Study year abroad (Year 4)
  • USCM-AKB20 : BSc(Hons) Computer Science and Mathematics with Year long work placement (Year 4)
  • USCM-AFM14 : MComp(Hons) Computer Science and Mathematics (Year 3)
  • USCM-AAM14 : MComp(Hons) Computer Science and Mathematics with Study year abroad (Year 3)
  • USCM-AKM14 : MComp(Hons) Computer Science and Mathematics with Year long work placement (Year 3)

Notes:

  • This unit catalogue is applicable for the 2022/23 academic year only. Students continuing their studies into 2023/24 and beyond should not assume that this unit will be available in future years in the format displayed here for 2022/23.
  • Programmes and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.