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Research degree

Statistical Science MPhil/PhD

The automation of manufacturing and service sectors is facilitated by computing advances. Yet, this transition towards data-driven decision making requires more sophisticated use of statistics. Indeed, analysing larger volumes of data creates both challenges that can be addressed by existing statistical methods and opportunities for the development of novel algorithms.

Key Information

Modes and duration

  • Full-time: 3 years
  • Part-time: 5 years

Tuition Fees (2015/16)

UK/EU:
£4,635 (FT) £2,315 (PT)
Overseas:
£16,690 (FT) £8,500 (PT)

Application deadlines

Research degrees may start at any time of the year, but typically start in September. Deadlines and start dates are usually dictated by funding arrangements so check with the department or academic unit (contact listed in Next steps, right) to see if you need to consider these in your application preparation. In most cases you should identify and contact potential supervisors before making your application. For more information see our How to apply page.

Entry Requirements

A minimum of an upper second-class UK Bachelor’s degree, or a UK Master’s degree in statistics, mathematics, computer science or a related quantitative discipline. Overseas qualifications of an equivalent standard are also acceptable.

English language requirement: Standard

If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.

International equivalencies

International applicants can find out the equivalent qualification for their country by selecting from the list below.

Select your country:

Funding

Research Council funding may be available for UK/EU graduate research or graduate taught students. Other funding opportunities may also be available. For details visit www.ucl.ac.uk/statistics/prospective-postgraduates/studentships

Brown Family Bursary

Value:
£15,000
Duration:
1 year
Eligibility:
Prospective full-time Master's students within the Faculties of the Built Environment, Engineering Science and Mathematical & Physical Sciences.

More scholarships are listed on the scholarships website

Careers

Top career destinations for this degree

  • University of Salerno, Lecturer, 2009,
  • Medical Research Council, Medical Statistician, 2009,
  • UCL, Research Associate, 2010,
  • Norwegian School of Economics, Assistant Professor, 2011,
  • Nottingham Trent University, Lecturer, 2008,

Why study this degree at UCL?

While the department offers world-class expertise along with strong links to practitioners, its position within UCL provides breadth. Besides ties to other mathematical sciences, the department collaborates with researchers in engineering, management, and medicine. The opportunity to engage with leading researchers across disciplines while accessing London-based government and industry figures gives UCL students a distinct advantage.

More intangibly, by being in a truly multi-disciplinary milieu, UCL students gain an appreciation for knowledge and its societal impact. This leads to not only new insights but also a readiness to critique the established order, which is both intellectually and personally fulfilling.

Student / staff ratios › 30 staff › 27 taught students › 35 research students

Department: Statistical Science

Degree reviews

Staff review

"UCL has an amazing portfolio of research. As a statistician I get to play with data from many different fields, which is exciting. Collaborating with other scientists at UCL enables me to contribute to a wide array of scientific disciplines."

Professor Sofia Olhede

Subject: Statistical Science MPhil/PhD
Student review

"UCL is one of the leading universities world-wide. In particular, I like that statistics is a department on its own and not as often the case part of mathematics. Therefore, the research areas in statistics investigated in our department cover a huge variety. As a PhD student, I find it very important to be exposed to more than only your own field of research. Besides, due to the department being fairly large we are around 30 PhD students only in statistics all with similar problems. It creates an open and friendly environment for postgraduate studies."

Beate Franke

Subject: Statistical Science PhD
Student review

"After deciding to pursue my graduate studies in London (due to its countless opportunities of industry collaborations) to choose UCL as a university was not a hard task. I was looking for a Statistics department where I could be exposed to as many different research areas as possible and UCL's Statistics department could offer me this opportunity. Of course, studying in the first statistics department in the world has also its charm."

Rodrigo Targino

Subject: Statistical Science PhD

Application and next steps

Applications

Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.

Who can apply?

Application deadlines

Research degrees may start at any time of the year, but typically start in September. Deadlines and start dates are usually dictated by funding arrangements so check with the department or academic unit (contact listed in Next steps, right) to see if you need to consider these in your application preparation. In most cases you should identify and contact potential supervisors before making your application. For more information see our How to apply page.

For more information see our Applications page.

Apply now

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IRIS

Visit the IRIS research portal to learn more about researchers' activities, research groups, research centres and interdisciplinary networks across the whole of UCL.

IRIS department: Statistical Science

Faculty of the Mathematical and Physical Sciences

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