Months of entry
The MSc in Data-Intensive Analysis is a one-year taught programme run collaboratively by the Schools of Computer Science and Mathematics and Statistics. 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 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.
The taught part of this MSc programme includes five compulsory modules in statistics and data analysis, plus a choice of two from four modules in Computer Science. 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 modules in this programme have varying methods of delivery and assessment. For more details about each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue, which is for the 2017–2018 academic year; some elements may be subject to change for 2018 entry.
Fees and funding
Qualification and course duration
Course contact details
- Postgraduate Secretary
- +44 (0)1334 46 2344