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MSc - Master of Science
John Anderson Campus
Full Time
SEP-25
1 Year
Select a course option
MSc - Master of Science
John Anderson Campus
Full Time
SEP-25
1 Year
Select a an exam type
Computer science supports the build, development and use of computer systems. Systems development is of crucial importance in many areas of modern life. As new technologies continue to emerge, there's a growing worldwide need for skilled, expert computer science professionals.
Our MSc in Advanced Computer Science has a small number of compulsory modules, supplemented by a wide variety of optional modules. You can choose from this range of optional modules to tailor your own programme of advanced study to meet your academic interests and career aspirations - whether your interests relate to software engineering or data science.
Engage with industry
Throughout the course, we offer opportunities to engage with industry through IT careers fairs, guest lectures from local industry, industrially sponsored projects, specialist sessions from our University Careers Service and student demo days to industry.
What youll study
On our Advanced Computer Science Masters, youll study two 11-week semesters, each with three or four modules.
Each module typically has four hours of lectures, laboratory practicals and/or tutorials. Additional study time is required to enhance and apply your understanding of the topics covered, through further reading, self-directed study and assignments.
In the summer, between June and August, youll undertake an in-depth three-month research project.
A range of software systems are used to build reliable, scalable and quality solutions, and you will apply rigorous methodologies through experimental design and exploratory modelling. For example:
the deep learning module allows you to use popular APIs such as Keras and Tensorflow
topics such as reinforcement learning for real-world ''game'' play for example AlphaStar
you'll become familiar with a number of different cloud NoSQL systems and the Map-Reduce programming paradigm
evolutionary computation techniques such as genetic algorithms, genetic programming and neural networks will be introduced to a range of financial applications.
Course content: Select 100 credits from the elective modules below, across semesters 1 and 2.
Careers:
There will be opportunities for you to meet industry employers and take part in recruitment events, in addition to taking advantage of a wealth of support offered by our careers service.
We have a dedicated careers fair for our computer science and information management students each year, with over 30 leading companies, including:
Amazon
JP Morgan
Morgan Stanley
British Telecom
Bridgeall
Kana
Skyscanner
ThinkAnalytics
As a graduate you could progress to be an analyst, architect or developer. There's a demand for advanced practitioners and researchers in the growing area of embedded systems development.
minimum second-class (2:2) honours degree or international equivalent in computer science or a closely related discipline
significant programming experience, preferably in Java or another object-oriented language
other disciplines who have significant programming experience should contact us to discuss applying for this course
Students living in
Domestic
£11,900 per year
Students from Domestic
This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)
£11,900 per year
Students from England
£11,900 per year
Students from Scotland
£11,900 per year
Students from Wales
£11,900 per year
Students from Northern Ireland
£30,250 per year
Students from EU
Cost of living (University provided accommodation) - £310 Per week
£30,250 per year
Students from International
Cost of living (University provided accommodation) - £310 Per week
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