2024/25 Taught Postgraduate Programme Catalogue
MSc Advanced Computer Science
| Programme code: | MSC-ACS-FT | UCAS code: | |
|---|---|---|---|
| Duration: | 12 Months | Method of Attendance: | Full Time |
| Programme manager: | Dr Mark Walkley | Contact address: | M.A.Walkley@leeds.ac.uk |
Total credits: 180
Entry requirements:
- A minimum UK Upper Second Class Honours (2.1) degree or equivalent in computing or a scientific subject with significant computing component;
- A pass at GCSE level English Language (grade C or above);
- International students must have an English language qualification at a suitable level: IELTS 6.5 or equivalent.
School/Unit responsible for the parenting of students and programme:
School of Computer Science
Examination board through which the programme will be considered:
School of Computer Science
Relevant QAA Subject Benchmark Groups:
N/A
Programme specification:
At the end of the programme students should be able to demonstrate:
- a systematic understanding of the theory and practice of designing and implementing computer systems
- proficiency in the technical and programming skills required to design and implement computer systems;
- a thorough knowledge and skills base in a number of advanced topics within the domain of computer science;
- the ability to apply the knowledge and skills to tackle a significant problem within the main project;
- an in-depth understanding of an area of specialisation, gained during the main project;
- be confident in applying the research methodology adopted for the main project on new problems;
- be prepared for further study either in the context of professional development or through further engagement in higher education.
Year1 - View timetable
[Learning Outcomes, Transferable (Key) Skills, Assessment]
Compulsory modules:
| COMP5200M | MSc Project | 60 credits | 1 Jan to 30 Sep |
Optional modules:
Candidates will be required to study 120 credits from the following lists of optional modules:
Candidates will be required to study 120 credits from the following list of optional modules:
| COMP5122M | Data Science | 15 credits | Semester 1 (Sep to Jan) | |
| COMP5123M | Cloud Computing Systems | 15 credits | Semester 2 (Jan to Jun) | |
| COMP5125M | Blockchain Technologies | 15 credits | Semester 2 (Jan to Jun) | |
| COMP5400M | Bio-Inspired Computing | 15 credits | Semester 2 (Jan to Jun) | |
| COMP5450M | Knowledge Representation and Reasoning | 15 credits | Semester 1 (Sep to Jan) | |
| COMP5611M | Machine Learning | 15 credits | Semester 2 (Jan to Jun) | |
| COMP5625M | Deep Learning | 15 credits | Semester 2 (Jan to Jun) | |
| COMP5710M | Algorithms | 15 credits | Semester 1 (Sep to Jan) | |
| COMP5712M | Programming for Data Science | 15 credits | Semester 1 (Sep to Jan) | |
| COMP5840M | Data Mining and Text Analytics | 15 credits | Semester 2 (Jan to Jun) | |
| COMP5911M | Advanced Software Engineering | 15 credits | Semester 1 (Sep to Jan) | |
| COMP5930M | Scientific Computation | 15 credits | Semester 1 (Sep to Jan) | |
| COMP5940M | Graph Theory: Structure and Algorithms | 15 credits | Semester 2 (Jan to Jun) |
Last updated: 19/09/2024 16:36:14
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