IThis course offers you the opportunity to study advanced aspects of Computer Science within a research-based environment. The school is home to research centres in "Informatics" and "Autonomous Systems and Robotics". The course provides dedicated modules that will showcase each of these research areas and provide you with an overview of the research themes within each area, along with detailed knowledge of a selected theme. You will have the opportunity to work alongside highly-rated research staff, use the School's world-leading visualisation laboratories and to develop some advanced programming skills.
Students taking the programme on a part-time basis will do "Advanced AI and Information Extraction" and "Mixed Reality Media and Multi-Modal Interfaces" in the first year, "Advanced Programming" and "Research Methods, Development and Project Management" in the second year, and "Project for MSc" in the third year.
The minimum requirement is a Class 2 Division 2 Honours degree or equivalent in a computing discipline, including recent programming experience.
We welcome applications from students who may not have formal/traditional entry criteria but who have relevant experience or the ability to pursue the course successfully.
The Accreditation of Prior Learning (APL) process could help you to make your work and life experience count. The APL process can be used for entry onto courses or to give you exemptions from parts of your course.
Two forms of APL may be used for entry: the Accreditation of Prior Certificated Learning (APCL) or the Accreditation of Prior Experiential Learning (APEL).
International applicants will be required to show a proficiency in English. An IELTS score of 6.5 (no element below 5.5) is proof of this.
You are a graduate or professional wanting to study advanced aspects of Computer Science within a highly-rated research-based environment.
You are interested in Data Mining, Pattern Recognition, Virtual Environments or Future Media.
You enjoy computer programming and are keen to further develop your programming skills.
A variety of delivery methods are adopted to achieve the intended learning outcomes, including lectures, supervised laboratories, group activities in class, assignments and projects. The modules are designed to incorporate hands-on activities with face-to-face support, and are not intended for purely distance learning.
Dr N. Murray
Programme leader: MSc/PgDip Advanced Computer Science
Lecturer in the School of Computing, Science & Engineering
As a graduate from this course you will be well equipped to work in a range of jobs such as system analyst, systems programmer, system administrator or computer analyst. Previous graduates of Computer Science from University of Salford have found employment with companies such as Microsoft, Hewlett-Packard, 3M, Zen Internet, Siemens, Fast Web Media and Amsterdam Internet Exchange.
When you graduate, you may wish to embark up a research degree in the School of Computing, Science and Engineering at the University of Salford. For information on this, see: http://www.salford.ac.uk/computing-science-engineering/courses/postgraduate-research
Some of the School's research centres were part of Research Institutes that achieved 6* in the last Research Assessment Exercise (RAE), and the University of Salford is rated in the top third of all UK Universities for research. For information on the School's research centres, see: http://www.cse.salford.ac.uk/research/research-centres.php
The University of Salford is a research led university committed to creating and fostering a vibrant research environment for postgraduate research students from across the world. For more information on our comprehensive range of support services and application information, see: http://www.pg.salford.ac.uk/
|Type of Study||Fee|
|Part-time||£934 per 30 credits|
|Full-time International||£13,300, PgDip £8,870|
You should also consider further costs which may include books, stationery, printing, binding and general subsistence on trips and visits.
We offer awards to help you study through our:
There are also other sources of funding available to you.
For more information please see our funding section
You will have the opportunity to use the School's world-leading visualisation laboratories