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Advanced Computer Science (Artificial Intelligence) at Durham University - UCAS

Durham University

Degree level: Postgraduate

Advanced Computer Science (Artificial Intelligence) (Taught)

Course options

Course summary

With AI transforming many aspects of the way we live and work, from diagnosing health conditions and modelling climate change to detecting fraud and personalised learning, there has been a soaring demand for experts with these specialist skills. In response to this demand, we've created a new course that aligns with the rapidly evolving needs of industry. The MSc will equip you with an advanced understanding of computer science theory and practice through research-led teaching of both foundational and contemporary topics. You will study four core modules in the areas of programming, artificial intelligence, algorithms, and research methods and ethics. These will be complemented by four further option modules based on the department’s cutting-edge research in areas such as reinforcement learning, AI and human systems, and vision, imaging and visualisation. The option modules are built around staff specialisms to ensure all content is current and relevant to industry. The course will enhance your critical thinking and problem-solving skills through modules that encourage you to analyse complex problems, and design and evaluate effective solutions. As an integral part of the MSc, you will engage in hands-on coding, software development and projects to apply your theoretical knowledge in real-world scenarios. Recognising the significance of effective communication and collaboration in artificial intelligence, the course enables you to work collaboratively and present your own work. The MSc project provides additional opportunities to apply your knowledge to real-world challenges that align with your academic and career goals. Our strong industry connections also open up opportunities to secure co-supervision of the project with one of our partners. Course structure Core modules: Advanced Programming enhances programming skills and provides an in-depth understanding of advanced methodologies and techniques in computer programming. Areas of study include object-oriented concepts; errors, exceptions, I/O and file management, generics and lambdas; and synchronous/asynchronous messaging. Machine Learning and Deep Learning teaches a critical understanding of the key principles of the field, and practical background knowledge of classic machine learning techniques and modern deep learning approaches. Algorithms and Complexity provides knowledge and critical understanding of the paradigms and fundamental ideas behind algorithms and computational complexity. You will also learn to design novel algorithms to solve specific complex problems. Research Methods and Ethics in Computer Science equips you with the essential research skills and ethical considerations relevant to the field of computer science. You will also learn to apply research methodologies and ethical principles to your individual projects. The Computer Science Project, on a research-led topic agreed with a supervisor, draws on the methods and techniques covered in the taught modules. Depending on the project topic selected and availability, there is potential for industry co-supervision.

Modules

Plus one module from options which may include: Advanced Computer Systems; Bioinformatics; Human-AI Interaction Frameworks and Practices*; Security Engineering and Cryptography. And three further modules from options which may include: Advanced Algorithms; Computer Vision*; Cryptocurrencies and Blockchain Technologies; Natural Language Processing*; Networks; Quantum Computing; Recommender Systems*; Reinforcement Learning*. To qualify for the MSc Advanced Computer Science (Artificial Intelligence) route you should select at least three of the modules marked *. Anyone choosing two or less will be switched to the MSc Advanced Computer Science route.

Assessment method

The learning outcomes are typically assessed by written coursework, which may include written reports, code writing and problem-solving exercises. Some modules also include elements of groupwork and written exams.  The MSc Computer Science project is assessed through a written research report or dissertation. It is worth one-third of your total mark.


How to apply

International applicants

If you are an international student who does not meet the requirements for direct entry to this degree, you may be eligible to take a pre-Masters pathway programme at the Durham University International Study Centre.

Entry requirements

2:1 in Computer Science or joint honours with Computer Science. This programme will not be available to recent graduates who have been awarded an undergraduate degree in Computer Science or Natural Sciences (with Computer Science) from Durham University. These applicants should, if not already graduated, consider continuing to the integrated MEng or MSci award, respectively.


Fees and funding

Tuition fees

England £14500 Year 1
Northern Ireland £14500 Year 1
Scotland £14500 Year 1
Wales £14500 Year 1
Channel Islands £14500 Year 1
EU £34000 Year 1
International £34000 Year 1

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

The tuition fees shown are for one complete academic year of study and are set according to the academic year of entry. Fees will be subject to an annual inflationary increase and are expected to rise throughout the programme of study. The fee listed above is for the first year of the course only.

Sponsorship information

For further information see the course listing on the Durham University website.

Advanced Computer Science (Artificial Intelligence) at Durham University - UCAS