MSc Computer Science & Entrepreneurship
Introduction
The MSc in Computer Science and Entrepreneurship is an exciting programme that encourages students to enhance their professional practice while developing skills to explore the commercial possibilities of computing technologies. The course aims to develop confidence and understanding in the field of entrepreneurship applied to technology. The acquired skill set prepares graduates to commercialise computing ideas and systems and to create an increased culture of entrepreneurship in information technology.
Teaching
Taught by a team of entrepreneurship experts and computer scientists with significant industrial experience, the course offers a unique opportunity to benefit from the practical experience of staff. This collective expertise should inform and inspire students to challenge the conventional wisdom about careers in computer science.
Research-informed teaching within the School is rooted in the activity of a number of laboratories, institutes and research groups, which offer the best in inter-disciplinary studies and cutting-edge technologies. Students also benefit from lectures and visits from staff based at the UK campus.
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Course content and structure
The course can be completed one year full-time or two-fours years part-time. The course is comprised of a combination of compulsory and optional modules covering both computing technologies and business studies.
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algorithm design and operations research
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issues in human factors
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new media design
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object orientated systems
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software engineering
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project management
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creative problem solving
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finance and accounting
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science and technology business
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innovation management
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marketing for entrepreneurs
Students also undertake a collaborative entrepreneurship project of 15,000–20,000 words, based on a real commercial problem working with external partners and other students.
Detailed course structure
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Autumn – Semester 1
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Code
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Title of Module
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Credits
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Status
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G54IHC
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Intro to Human Computer Interaction
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10
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Compulsory
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N14C15
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Project Management
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10
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Compulsory
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N14G01
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Creative Problem Solving
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10
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Compulsory
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N14G02
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Finance and Accounting
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10
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Compulsory
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G54ORM
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Operations Research and Modelling
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10
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Optional
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G53VIS
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Computer Vision
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10
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Optional
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G54SIM
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Simulation for Computer Scientists
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10
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Optional
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Spring – Semester 2
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Code
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Title of Module
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Credits
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Status
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G64SWE
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Software Engineering
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10
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Compulsory
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N14G03
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Marketing for Entrepreneurs
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10
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Compulsory
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N14G05
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Innovation Management
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10
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Compulsory
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G14G06
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Science Technology Arts and Business
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10
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Compulsory
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G54PDC
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Parallel and Distributing Computing
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10
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Optional
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G54ACC
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Advanced Computer Communications
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10
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Optional
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G53NMD
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New Media Design
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10
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Optional
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G54MET
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Methods for Understanding Users in CS
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10
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Optional
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Note: Select 40 credits from optional modules (for both semesters)
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Summer Period
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Code
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Title of Module
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Credits
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Status
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G64PRE
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Computer Science Technology Transfer Project
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60
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Compulsory
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Assessment
Students’ work is assessed using a variety of methods including course work, group and individual reports, written and online exams, and presentations.
Entry requirements
Candidates would normally be expected to hold an honours degree at least 2:1 level (or its international equivalent) in Computer Science or related discipline with a good foundation in programming.
English language
Applicants whose native language is not English must fulfil one of the following conditions:
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IELTS: 6.5 (no less than 6.0 in any element)
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TOEFL paper based: 573 with 4.5 in TWE
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TOEFL IBT: 88 (no less than 19 in any element)
The qualification must be achieved no more than 2 years prior to admission. For students who need to improve their English skills before joining a degree programme, The Centre for English Language Education| offers Pre-sessional Language Courses| which are open to prospective students at all levels.
Career opportunities
The course is ideal for students wishing to pursue a dynamic career, combining computing and commercial skills, particularly at the business-academic interface, exploring the commercial potential of research. It also provides an excellent foundation for doctoral studies.
