Strategy, Marketing and Operations MPhil

The MPhil in Strategy, Marketing and Operations (SMO) is an intensive nine-month programme that prepares you for continuation to the Cambridge Judge Business School (CJBS) PhD in the fields of Strategy, Marketing or Operations. Educational aims of the programme: to prepare students for doctoral work in the fields of strategy, marketing or operations at CJBS (the programme is an integral part of the CJBS PhD programme for these fields); By: providing teaching in research methodology, in particular in econometrics and mathematical modelling; providing teaching in foundational subjects, such as economics; providing research seminars in which students will learn about the current debates in their field of specialisation and about the canonical literature that underpins these debates; providing guidance on the structuring, writing and critiquing of academic research papers; giving students the opportunity to experience research first-hand, either through an individual research project or a dissertation.

By the end of the course students should have: Acquired or consolidated foundational knowledge and methodological skills necessary for research in their chosen field of specialisation; Demonstrated an ability to critique research papers; Presented their own ideas in a public forum and learned to contribute constructively within an international environment. PhD offers are usually conditional on the final performance on the MPhil - candidates are required to achieve over 70% in their MPhil. Assessment across the nine courses will be by written examination, project, or coursework, depending upon the nature of the particular course.

Applicants for this course should have achieved a UK First class Honours Degree. A degree in a discipline with a strong quantitative orientation (e.g. engineering, economics, operations research, statistics, mathematics, physics, computer science, or a similar course) will be expected. Applicants are required to have degree-level courses in calculus, linear algebra, probability and statistics.