The MSc in Data-Intensive Analysis is a one-year taught programme run collaboratively by the Schools of Mathematics and Statistics and Computer Science. The course consists of two semesters of taught modules followed by an 11-week project leading to the submission of a 15,000-word dissertation in August.
The taught part of this MSc programme includes four compulsory modules in statistics and data analysis, plus a choice of a further four modules in Computer Science and Mathematics and Statistics. Teaching methods include lectures, seminars, tutorials and practical classes. Most modules are assessed through practical coursework exercises and examinations. Class sizes typically range from 10 to 50 students.
All students are assigned an advisor who meets with them at the start of the year to discuss module choices and is available to assist with any academic difficulties during the year. A designated member of staff provides close supervision for the MSc project and dissertation.
The School of Computer Science organises a regular programme of colloquia, talks and seminars by external and internal speakers from both industry and academia. The talks are aimed at bringing the diversity, excitement and impact of computer science from around the globe to staff and students within the School.
The St Andrews Computing Society (STACS) regularly organises hackathons and other events open to local and external participants, including MSc students. These are very popular events, often supported by industrial sponsors.
The Computer Science blog regularly publishes news and events.
Alumni of Computer Science MSc programmes have gone on to work in a variety of global, commercial, financial and research institutions, including:
The Careers Centre offers one-to-one advice to all students on a taught postgraduate course and offers a programme of events to assist students to build their employability skills.
King’s College London
King's College Hospital, Denmark Hill, London, UK
October 01, 2022
Lancaster University, Bailrigg, Lancaster, UK
October 01, 2022
Imperial College London
September 01, 2022