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Economics and Data Science is no longer accepting new applications.
Teaching
Students are strongly encouraged to attend the online preparatory course in Mathematics and Statistics in September.
Each student will take 7 compulsory modules, two optional modules and write a dissertation of up to 10,000 words. The modules are a mixture of 18, 24 or 27 hours of lectures, supplemented by classes in the compulsory modules. A supervisor is appointed for every student to provide guidance in developing the skills necessary to carry out the project.
Part-time study is delivered at 0.5 FTE (full-time equivalent).
| One to one supervision | 2 hours of individual supervision for the dissertation component. The °Ç¸ç³Ô¹Ï publishes an annual Code of Practice which sets out the University’s expectations regarding supervision. |
|---|---|
| Seminars & classes | 54 hours of classes and 20 hours of seminars/group presentations per year. |
| Lectures | The total number of lecture hours for the course is 159 hours per year. The online preparatory course consists of an additional 51 hours of lecture time.
|
| Taught/Research Balance | Predominantly Taught |
Feedback
There is a test on the material covered in the preparatory course which is marked on a pass/fail basis. The test is formative and does not contribute to the overall mark for the MPhil, but failing this preparatory course will indicate that a student will need to improve their mathematical and statistical skills to cope with the main part of the course.
There are some practice exams in January and students receive feedback on their performance.
Classes in problem sets take place for compulsory modules.
Each student receives individual supervision for the dissertation component.
Assessment
Thesis / Dissertation
Students submit a dissertation of up to 10,000 words in June.
Essays
| Module | Assessment Method | Weighting |
| Microeconomics |
2,000 word project (30%) and 1 1/2 hour Exam (70%) |
10.50% |
| Machine Learning in Economics | Project (100%) | 10.50% |
| Econometric Methods | 3 hour Exam (100%) | 12.00% |
| Research Computing & Fundamentals of Data Science (joint project across both modules) | Project (100%) | 10.50% |
| Causal Inference and Machine Learning | Project (100%) | 10.50% |
| Option 1 | Either Exam or Project dependent on Module taken | 10.50% |
| Option 2 | Either Exam or Project dependent on Module taken | 10.50% |
| Case Study | 1,000 word case study | 5.00% |
| Dissertation | 20.00% |
Written examination
Written examinations are held in January and April-June.
Other
Mid-Course examinations will be held for the Microeconomics and Econometrics Modules and are held in the week prior to the beginning of the Lent Term. The examinations will be of 1.5, 2, or 3 hours’ duration. These mock exams will give students the opportunity to practice under examination conditions for the formal April-June examinations, and will also give a good indication of progress.
