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2021/22 Taught Postgraduate Programme Catalogue

MSc Advanced Computer Science (Cloud Computing)

Programme code:MSC-ACS/C-FTUCAS 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:

COMP5200MMSc Project60 credits1 Jan to 30 Sep, 1 Apr to 31 Dec
COMP5850MCloud Computing15 creditsSemester 2 (Jan to Jun)
COMP5911MAdvanced Software Engineering15 creditsSemester 1 (Sep to Jan), 1 Sep to 31 Jan (adv yr)

Optional modules:

Candidates will be required to study 90 credits from the following lists of optional modules:

COMP5111MBig Data Systems15 creditsSemester 2 (Jan to Jun)
COMP5450MKnowledge Representation and Reasoning15 credits1 Sep to 31 Jan (adv yr), Semester 1 (Sep to Jan)
COMP5611MMachine Learning15 creditsSemester 2 (Jan to Jun), 1 Sep to 31 Jan (adv yr)
COMP5623MArtificial Intelligence15 creditsSemester 2 (Jan to Jun)
COMP5710MAlgorithms15 creditsSemester 1 (Sep to Jan), 1 Sep to 31 Jan (adv yr)
COMP5712MProgramming for Data Science15 credits1 Jan to 31 May, 1 Sep to 31 Jan (adv yr), Semester 1 (Sep to Jan), 1 Jun to 30 Sep
COMP5840MData Mining and Text Analytics15 creditsSemester 2 (Jan to Jun)
COMP5930MScientific Computation15 credits1 Sep to 31 Jan (adv yr), Semester 1 (Sep to Jan)

Students may study no more than 10 credits from this list:

Last updated: 26/08/2021 14:01:03

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