Statistics and Operational Research with Industrial Applications
This programme offers a ground-breaking approach to statistics and operational research, developed in conjunction with leading industrial partners. There are typically over 10 fully funded places annually. Collaboration with our industrial partners, such as BT, IBM and AstraZeneca, ensures that we produce highly skilled researchers prepared for careers in academia or industry. Commencing with an MRes which provides a robust grounding and the development of research skills, students will identify a topic and plan their PhD research. Students will also develop a versatile skill set including: advanced problem solving, programming, and a broad range of presentation and dissemination skills. The remaining 3 years will be spent working on the PhD project guided by appropriate supervisory teams, whilst taking a range of training programmes and experiencing visits to world leading universities.
1st Class Honours degree, or its equivalent, in an undergraduate course with a substantial mathematical content. IELTS: 6.5 or equivalent.
Compulsory modules: training for research and industry; probability and stochastic processes; optimisation; likelihood inference; Bayesian inference; computational intensive methods. Optional modules: leadership and project management training; communication training; research integrity; continual professional development in statistics and operational research; computational horizons.
MRes: coursework and exam; PhD: original research and thesis.
|Qualification||Study mode||Fee||Course duration|
|PhD||Full-time||£ 3,900 per Academic year (home fees)||3 years|
|PhD||Full-time||£ 15,860 per Academic year (overseas fees)||3 years|
|PhD||Full-time||£ 3,900 per Academic year (EU fees)||3 years|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|Lancaster University||Lancaster||LA1 4YW||North West|