Postgraduate Course: MSc by Research Thesis (Data Science; 120pt) (INFR11107)
Course Outline
School | School of Informatics |
College | College of Science and Engineering |
Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Course type | Dissertation |
Availability | Not available to visiting students |
SCQF Credits | 120 |
ECTS Credits | 60 |
Summary | Students will pursue a year long research project in Data Science which results in a written dissertation. The research must demonstrate competence, knowledge, and be presented in a critical and scholarly way, demonstrating that the student is capable of undertaking independent research.
For this 120 credit project, the dissertation will normally include a more extensive investigation and critical evaluation of the topic, the use of more advanced methodology, or more time-intensive research methods than in a 90 credit project.
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Course description |
Project dependent.
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Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
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Co-requisites | |
Prohibited Combinations | |
Other requirements | For students on the MSc by Research in Data Science only - by special permission.
This course can only be chosen by students with sufficient background in data science to justify partial exemption from the programme's coursework requirements. |
Course Delivery Information
Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Structure, summarise and critically evaluate a body of knowledge relating to a substantial project topic in Informatics
- Conduct a programme of work in further investigation of issues related to the topic
- Discuss and solve conceptual problems which arise during the investigation
- Critically evaluate the investigation, including design choices made
- Present their work orally and visually, with demonstration of working artifacts where appropriate
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Reading List
Project dependent. |
Contacts
Course organiser | Dr Adam Lopez
Tel: (0131 6)50 4430
Email: |
Course secretary | Mrs Sam Stewart
Tel: (0131 6)51 3266
Email: |
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