2014/15 Taught Postgraduate Programme Catalogue
MSc Advanced Computer Science (Data Analytics)
Programme code: | MSC-ACS/D-FT | UCAS code: | |
---|---|---|---|
Duration: | 12 Months | Method of Attendance: | Full Time |
Programme manager: | Dr Hamish Carr | Contact address: | h.carr@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 a 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;
- an in-depth knowledge of the essential principles and practices of designing and using computer systems to perform data analysis tasks;
- the ability to apply these principles and practices to tackle a significant data analysis 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:
- provide the opportunity to study all components of the data analysis pipeline including machine learning techniques used in data mining; computational modelling of data; techniques for visualizing high dimensional complex data and usability issues of data analysis systems.
- explore methods used for different types of data in particular text and image data.
- 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, Learning Context]
Compulsory modules:
Candidates will be required to study the following compulsory modules:
COMP5200M | MSc Project | 60 credits | Semester 2 (Jan to Jun) | |
COMP5700M | Systems Programming | 15 credits | Semester 1 (Sep to Jan) | |
COMP5710M | Algorithms | 15 credits | Semester 1 (Sep to Jan) | |
COMP5830M | Knowledge Representation and Machine Learning Pre-requisite for: COMP5840, COMP5860, COMP5400, COMP5870 | 15 credits | Semester 1 (Sep to Jan) |
Optional modules:
Candidates will be required to study at least 15 credits from the following optional modules
COMP5840M | Data Mining and Text Analytics | 15 credits | Semester 2 (Jan to Jun) | |
COMP5870M | Image Analysis | 15 credits | Semester 2 (Jan to Jun) | |
COMP5880M | Scientific Visualization | 15 credits | Semester 2 (Jan to Jun) | |
COMP5930M | Scientific Computation Pre-requisite for: COMP5880M | 15 credits | Semester 1 (Sep to Jan) |
Candidates will be required to study up to 60 credits from the following optional modules:
COMP5400M | Bio-Inspired Computing | 15 credits | Semester 2 (Jan to Jun) | |
COMP5810M | Advanced Distributed Systems Pre-requisite for: COMP5850, COMP5860 | 15 credits | Semester 1 (Sep to Jan) | |
COMP5820M | Mobile Application Development | 15 credits | Semester 1 (Sep to Jan) | |
COMP5850M | Cloud Computing | 15 credits | Semester 2 (Jan to Jun) | |
COMP5860M | Semantic Technologies and Applications | 15 credits | Semester 2 (Jan to Jun) | |
COMP5920M | Scheduling | 15 credits | Semester 2 (Jan to Jun) | |
COMP5940M | Graph Theory: Structure and Algorithms | 15 credits | Semester 2 (Jan to Jun) |
Last updated: 24/03/2014
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
Errors, omissions, failed links etc should be notified to the Catalogue Team.PROD