2017/18 Taught Postgraduate Programme Catalogue
MSc Advanced Computer Science (Cloud Computing)
Programme code: | MSC-ACS/C-FT | UCAS code: | |
---|---|---|---|
Duration: | 12 Months | Method of Attendance: | Full Time |
Programme manager: | Dr Karim Djemame | Contact address: | K.Djemame@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 Computing
Examination board through which the programme will be considered:
School of Computing
Relevant QAA Subject Benchmark Groups:
Computing
Programme specification:
On completion of the programme students should be able to demonstrate:
- A systematic understanding of the theory and practice of designing and implementing Cloud systems;
- Proficiency in the technical and programming skills required to design and implement Cloud systems;
- A thorough knowledge and skills base in a number of advanced topics within the domain of distributed computer systems including Grids and Clouds;
- An in-depth knowledge of the essential principles and practices used in the effective design, implementation and usability of Cloud systems including virtualization, scalability, performance, security, and dependability;
- The ability to apply these principles and practices 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.
The programme will:
- Situate the study of Cloud systems within the general context of computational modelling and complex systems;
- Give a broad perspective on Cloud systems, covering service-oriented design models, service-oriented architecture (SOA), service-level agreement (SLA), algorithms and mechanisms for dynamic service integration, security and dependability, virtualisation, scalability, and energy efficiency.
- Be rooted in established research strengths of the School and will offer the opportunity for students to work as integral members of our research groups during their main project;
- Prepare graduates for graduate careers in the IT industry and other contexts or for further study either in the context of continuing professional development or through further engagement in higher education.
Year1 - View timetable
[Learning Outcomes, Transferable (Key) Skills, Assessment]
Compulsory modules:
Candidates will be required to study the following compulsory modules:
COMP5200M | MSc Project | 60 credits | 1 Jan to 30 Sep | |
COMP5850M | Cloud Computing | 15 credits | Semester 2 (Jan to Jun) |
Optional modules:
Candidates will be required to study 105 credits from the following lists of optional modules:
COMP5111M | Big Data Systems | 15 credits | Semester 2 (Jan to Jun) | |
COMP5122M | Data Science | 15 credits | Semester 1 (Sep to Jan) | |
COMP5400M | Bio-Inspired Computing | 15 credits | Semester 2 (Jan to Jun) | |
COMP5450M | Knowledge Representation and Reasoning | 15 credits | Semester 1 (Sep to Jan) | |
COMP5710M | Algorithms | 15 credits | Semester 1 (Sep to Jan) | |
COMP5811M | Parallel and Concurrent Programming | 15 credits | Semester 1 (Sep to Jan) | |
COMP5840M | Data Mining and Text Analytics | 15 credits | Not running in 201718 | |
COMP5860M | Semantic Technologies and Applications | 15 credits | Semester 2 (Jan to Jun) | |
COMP5870M | Image Analysis | 15 credits | Semester 2 (Jan to Jun) | |
COMP5920M | Scheduling | 15 credits | Semester 2 (Jan to Jun) | |
COMP5930M | Scientific Computation | 15 credits | Semester 1 (Sep to Jan) | |
COMP5940M | Graph Theory: Structure and Algorithms | 15 credits | Semester 2 (Jan to Jun) |
Students may study no more than 30 credits from this list:
COMP3011 | Web Services and Web Data | 10 credits | Semester 2 (Jan to Jun) | |
COMP3211 | Distributed Systems | 10 credits | Semester 1 (Sep to Jan) | |
COMP3222 | Mobile Application Development | 10 credits | Semester 2 (Jan to Jun) | |
COMP3611 | Machine Learning | 10 credits | Semester 1 (Sep to Jan) | |
COMP3736 | Information Visualization | 10 credits | Semester 1 (Sep to Jan) | |
COMP3776 | Data Mining and Text Analytics | 10 credits | Semester 2 (Jan to Jun) | |
COMP3910 | Combinatorial Optimisation | 10 credits | Semester 2 (Jan to Jun) | |
COMP3911 | Secure Computing | 10 credits | Semester 1 (Sep to Jan) | |
COMP3940 | Graph Algorithms and Complexity Theory | 10 credits | Semester 1 (Sep to Jan) |
Last updated: 19/09/2017
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- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
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