This interdisciplinary Master's degree focuses on the growing importance of data science in society and across various industries. It equips you with the professional and problem-solving skills necessary for high-level careers. Taught by academics from the Schools of Computer Science and Mathematical Sciences, the course delves into cutting-edge techniques and technologies in data analysis, drawing on their international research. You will develop expertise in key areas like statistical modelling, machine learning, and advanced algorithms. The program offers a flexible range of optional modules, allowing you to tailor your studies to your interests. A significant component is the individual research project, which can be undertaken in an area of your choice, potentially in collaboration with industry partners or university research groups.
This Master's program comprises 180 credits, divided into 120 credits of compulsory and optional modules, plus a 60-credit individual research project. The curriculum is designed to accommodate students with varying backgrounds, with no prior computer programming experience necessary. You will be guided to select modules appropriate to your existing knowledge in computer science and mathematics.
No computer programming experience is required for entry. Module selection will depend on your academic background in computer science and mathematics.
The tuition fee for international students is £33,800 per year.
You need a 2:1 degree classification or equivalent. No prior computer programming experience is required for entry.
The Master's program comprises 180 credits, including a 60-credit individual research project, suggesting a typical duration of one year for full-time study.
No, prior computer programming experience is not required for entry. The curriculum is designed to accommodate students with varying backgrounds, and you will be guided in module selection.
The MSc is designed to prepare you for high-level careers in industries that rely on data analysis, equipping you with professional and problem-solving skills for such roles.