Computational Discovery DPhil
University of Oxford
Key Course Facts
Course Description
The information provided on this page was correct at the time of publication (October/November 2021).<MS&&> For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via <MW&&>www.graduate.ox.ac.uk/ucas.</MW&&>
The DPhil in Computational Discovery is a multidisciplinary programme spanning projects in Advanced Molecular Simulations, Machine Learning and Quantum Computing to develop new tools and methodologies for life sciences discovery</MS&&>.
This course is taking part in a continuing pilot programme to improve the assessment procedure for graduate applications, in order to ensure that all candidates are evaluated fairly. For this course, the socio-economic data you provide in the application form will be used to contextualise the shortlisting and decision-making processes where it has been provided. Please carefully read the instructions concerning submission of your CV/résumé in the How to apply section of this page, as well as the full details about this pilot.
This innovative course has been developed in close partnership between Oxford University and IBM Research. Each research project has been co-developed by Oxford academics working with IBM scientists. Students will have a named IBM supervisor/s and many opportunities for collaboration with IBM throughout the studentship.
The scientific focus of the programme is at the interface between Physical and Life Sciences. By bringing together advances in data and computing science with large complex sets of experimental data, more realistic and predictive computational models can be developed. These new tools and methodologies for computational discovery can drive advances in our understanding of fundamental cellular biology and drug discovery. Projects will span the emerging fields of Advanced Molecular Simulations, Machine Learning, and Quantum Computing while addressing both fundamental questions in each of these fields as well as at their interfaces.
Students will benefit from the interdisciplinary nature of the course cohort as well as the close interactions with IBM Scientists. After a very short induction period of one or two weeks, during which some basic training is provided, you will start a research project in your academic supervisor’s laboratory.
Most laboratories have weekly meetings where members present and discuss their research results with other members of the laboratory. You will also regularly present your work in progress seminars, which are attended by other research groups working in related areas.
Whilst working on your research project you will participate in a comprehensive, flexible skills training programme which includes a range of workshops and seminars in transferable skills, generic research skills and specific research techniques. There are also numerous seminars and lectures by local and visiting scientists and you are provided with many opportunities to meet leading scientists.
Entry Requirements / Admissions
Requirements for international students / English requirements
IELTS academic test score (similar tests may be accepted as well)
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- 6.5
- Graduate Degrees
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- 7.0
- Undergraduate Degrees
- (no subscore less than 6.0)
Costs
Average student cost of living in the UK
Rent | £518 |
Water, gas electricity, internet (at home) | £50 |
Supermarket shopping | £81 |
Clothing | £35 |
Eating out | £33 |
Alcohol | £27 |
Takeaways / food deliveries | £30 |
Going out / entertainment (excl.alcohol, food) | £24 |
Holidays and weekend trips | £78 |
Transport within city | £17 |
Self-care / sports | £20 |
Stationary / books | £13 |
Mobile phone / internet | £13 |
Cable TV / streaming | £7 |
Insurance | £51 |
Other | £95 |
Average student cost of living | £1092 |
London costs approx 34% more than average, mainly due to rent being 67% higher than average of other cities. For students staying in student halls, costs of water, gas, electricity, wifi are generally included in the rental. Students in smaller cities where accommodation is in walking/biking distance transport costs tend to be significantly smaller.
University Rankings
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About University of Oxford
The University of Oxford is a prestigious research university located in Oxford, England, and is the oldest English language university in the world. It is made up of 39 partly autonomous constituent colleges, six private halls, and a variety of academic departments which are split into four divisions: Humanities, Mathematical, Physical & Life Sciences, Medical Sciences, and Social Sciences.
List of 389 Bachelor and Master Courses from University of Oxford - Course Catalogue
Student composition of University of Oxford
-
Total number of students enrolled at University of Oxford by level Academic year 2021/22 - Full-time equivalent student enrollments published by Higher Education Statistics Agency (HESA) on February 2022
- undergraduates:
- 12425
- postgraduates:
- 9785
- Total:
- 22210
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Number of students enrolled in courses of subject “Molecular Biology”: Academic year - Full-time equivalent student enrollments published by Higher Education Statistics Agency (HESA) on February 2022
Where is this programme taught
Similar courses
Program | University | Student satisfaction | Unemployed | Dropout | Tuition (UK) | Tuition (International) | UCAS Tariff | City | ||
---|---|---|---|---|---|---|---|---|---|---|
Computational Discovery DPhil | University of Oxford | - | - | - | - | - | - | Oxford | On campus Full-time | |
Molecular Biology MPhil | The University of Manchester | - | - | - | - | - | - | Manchester | On campus Full-time |