MSc Data Science and Artificial Intelligence (Computer Science Data Informatics) / Course details
Year of entry: 2027
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Course description
As the volume and complexity of data continue to grow, demand is rising for professionals who can unlock its value. 91直播 MSc Data Science and Artificial Intelligence (Computer Science Data Informatics pathway) and develop advanced technical skills in data science, computer science and data informatics to solve real-world problems.
Throughout your studies, you will develop valuable data science skills while exploring rea such as data engineering, cognitive robotics and computer vision, software verification, security, and more.
You will build skills in data analysis, project design, computational methods, managing agentic AI, data stewardship, and more.
You will receive rigorous training in statistics and machine learning, databases, data environments and applying data science to solve problems. Your focus will largely be on the data techniques and uses that are most relevant machine learning and artificial intelligence including generative AI, large language models, with optional course units exploring themes such as data engineering, text mining, reinforcement learning and cybersecurity.
You will be taught by an interdisciplinary team through lectures, computer-based practicals, e-learning, meetings with industry partners, workshops, group work and individual research.
We welcome applicants from a range of STEM, business and humanities backgrounds, allowing us to create a diverse cohort and enrich discussions around the uses and potential of data.
By the end of your studies, you will have developed a highly valued skillset, enhancing your employability across countless sectors such as policy, business, research and more.
Course unit details
A master鈥檚 degree is formed of 180 credits.
On the MSc Data Science (Computer Science Data Informatics), there are six mandatory course units, including an extended research project worth 60 credits. This project is a compulsory research component and would include either a technical report or an academic paper on your project, its methods, and outcomes. You would present the aims and results of your project with either a video or a slide deck.
You will also choose three optional course units, which range from statistical foundations to data analysis and GIS, preparing you with a varied and strong foundation in data and computer science.
The availability of individual optional course units may be subject to change. Information that is sent to you in August about registration onto the course will clearly state the course units that are available in the academic year ahead.