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- Advanced Computer Science MSc
Course options
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Qualification
MSc - Master of Science
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Location
John Anderson Campus
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Study mode
Full time
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Start date
22-SEP-25
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Duration
1 Year
Course summary
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.
Modules
Tuition fees
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£ 30,250per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information

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University League Table
32nd
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Campus address
University of Strathclyde, McCance Building, 16 Richmond Street, Glasgow, Glasgow, City Of, G1 1XQ, Scotland
Subject rankings
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Subject ranking
28th out of 117 2
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Entry standards
/ Max 227204 90%8th
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Graduate prospects
/ Max 10088.0 88%33rd
2 -
Student satisfaction
/ Max 43.14 78%19th
20