MSc Data-intensive Analysis

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.

Highlights

• The course develops practical skills in derivation, validation and deployment of predictive models based on collected data, and provides training in the use of industry- and research-standard technologies and techniques.
• Students undertake a significant project including a wide-ranging investigation leading to their dissertation, which enables them to consolidate and extend their specialist knowledge and critical thinking.
• Students have 24-hour access to modern computing laboratories, provisioned with dual-screen PC workstations and group-working facilities.

Teaching format

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, mathematics and statistics.

Teaching methods include lectures, seminars, tutorials and practical classes. Class sizes typically range from 10 to 50 students.

Most modules are assessed through practical coursework exercises and examinations.

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.

Further particulars regarding curriculum development.