Advanced Computer Science

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.

· IELTS of 6.5 or above in IELTS with no element below 6.0

Months of entry

October

Course content

In response to a growing demand for data analysts and computer scientists, we've developed this new course to align with the rapidly evolving needs of industry. The MSc will equip you with a deep and advanced understanding of computer science theory and practice through research-led teaching of both foundational and contemporary Computer Science 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 theory, networks, 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 foster and enhance your critical thinking and problem-solving skills, with 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 computer science, 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 in the field, as well as covering 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 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.

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

Information for international students

Fees and funding