Advanced Computer Science
Key FactsCourse Code G493
Contemporary software is usually developed in teams using agile methods. Strong software engineering skills and specialist technical knowledge need to be combined with planning, teamwork and communication skills to develop applications on time and on budget. The MSc in Advanced Computer Science at Aberystwyth University aims to develop these skills and is suitable for students intending to pursue a career in the software industry. It can also lead to a career in research.
This is a flexible programme allowing you to specialise in a wide range of areas, from software development to machine learning. The Advanced Computer Science degree is ideal for anyone with a first degree in any Computing subject who wishes to accelerate their career as a software engineer.
Typical Entry Requirements
Entry Requirements 2:2 Bachelors (Honours) degree in a relevant subject area, or equivalent. Non-graduates will be considered individually based on relevant work experience.
English Language Requirements IELTS 6.0 with minimum 5.5 in each component, or equivalent
Other Requirements Applicants are encouraged to submit an up-to-date CV as part of their application.Back to the top
Fees and Finance
Please see the tuition fee pages for current tuition fees. Please note that all fees are subject to an annual increase.
Possible funding opportunities can be found in our funding calculator.
This course broadens your experience of the tools, methods and techniques used by professional software engineers, and focuses on the application of advanced software engineering, preparing you for responsible positions in the software industry. Whatever your own previous experience or future aspirations, with this course you will benefit from the marvellous integration of cutting-edge theory and practical application within a world-class department.
Recent MSc project topics include machine learning for the internet of things, augmented reality applications for tourism, analysis and management of agricultural emissions data, network intrusion detection and supply chain management.
Modules September start - 2023
Please note: The modules listed below are those currently intended for delivery during the next academic year and may be subject to change. They are included here to give an indication of how the course is structured.
|Module Name||Module Code||Credit Value|
|Agile Software Development Project||CSM2020||20|
|Research Topics in Computing||SEM1020||20|
|Module Name||Module Code||Credit Value|
|Applied Data Mining||CSM6720||20|
|Machine Learning for Intelligent Systems||CSM6420||20|
|Fundamentals of Intelligent Systems||CSM6120||20|
|Modelling, Managing and Securing Data||CSM3120||20|
|Statistical Concepts, Methods and Tools||MAM5120||20|
* Also available partially or entirely through the medium of Welsh
Our taught Masters degrees are designed to meet the needs of students wanting to expand their skills to accelerate their industrial career or those seeking a foundation for a career in research. Employment opportunities for computer scientists are wide-ranging, and include IT consultancies and IT service providers, aerospace and defence sectors, agricultural and financial services, telecommunications, healthcare, manufacturing, retail and the public and third sectors. Graduates also set up their own companies, providing web design and consultancy.
The University Careers Service can provide advice on employment opportunities, setting up your own business and freelancing.
Teaching & Learning
How will I be taught?
This course is a full-time one-year course, divided into three semesters.
During the first two semesters you will complete 120 taught credits. The third semester is dedicated to the MSc project (60 credits). Contact time for this course is approximately 12 hours a week in the first two semesters. During semester three, you will arrange your level of contact time with your assigned supervisor.
What will I learn?
In the first two semesters you will undertake a number of core and optional modules. The modules will be delivered through lectures, problem classes, seminars, workshops, group and individual projects, and invited lecturer series. The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:
· A comprehensive understanding of design principles used in software systems to meet security, performance, quality of service and reliability requirements.
· A critical awareness of current practice, opportunities and limitations relating to advanced software engineering.
· A knowledge of the legal, social, ethical and professional issues that apply to software development and delivery.
· An understanding of important standards, best practices and legal issues that govern the construction, operation and use of software systems.
· A knowledge of important architectural frameworks, tools and techniques for developing complex software systems.
· A critical awareness of current problems and/or recent development within the discipline.
· A knowledge of several development methodologies that might be employed when developing complex systems.
How will I be assessed?
Assessment methods include a mixture of written assignments, programming assignments, practical portfolios, practical examinations, oral presentations and written examinations. The successful submission of your MSc Project in semester three leads to the award of an MSc.