Studyportals

Statistical Science

University of Oxford

Postgraduate Diploma On Campus
9 months
Duration
26405 GBP/year
11605 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Postgraduate Diploma in Statistical Science offered at the University of Oxford is a nine-month taught course, running from October each academic year. It is similar to the MSc in Statistical Science but there is no dissertation. The course has a particular focus on modern computationally-intensive theory and methods.

Overview

The PGDip aims to train you to solve real-world statistical problems. When completing the course you should be able to choose an appropriate statistical method to solve a given problem of data analysis, implement the analysis on a computer, and communicate your results clearly and succinctly. 

The Statistical Science course offered at the University of Oxford offers a broad high-level training in applied and computational statistics, statistical machine learning, and the fundamental principles of statistical inference. Training is delivered through mathematically demanding lectures and problems classes, hands-on practical sessions in the computer laboratory and report writing.

Supervision

The allocation of graduate supervision for this course is the responsibility of the Department of Statistics and it is not always possible to accommodate the preferences of incoming graduate students to work with a particular member of staff. Under exceptional circumstances a supervisor may be found outside the Department of Statistics.

Graduate destinations

Graduates find employment in financial, economic, governmental, scientific and industrial areas.

Programme Structure

Courses included:

  • Applied Statistics
  • Foundations of Statistical Inference
  • Statistical Programming
  • Computational Statistics
  • Statistical Machine Learning
  • Bayes Methods

Key information

Duration

  • Full-time
    • 9 months

Start dates & application deadlines

Language

English

Credits

120 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
Upper Second Class

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
110
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
7.5

Other requirements

General requirements

  • a first-class or strong upper second-class undergraduate degree with honours in a degree course with advanced mathematical and statistical content.
  • However, entrance to the course is very competitive and most successful applicants have a first-class degree or the equivalent.
  • For applicants with a degree from the USA, the minimum GPA sought is 3.6 out of 4.0.

Tuition Fee

  • International

    26405 GBP/year
    Tuition Fee
    Based on the original amount of 26405 GBP per year and a duration of 9 months.
  • EU/EEA

    11605 GBP/year
    Tuition Fee
    Based on the original amount of 11605 GBP per year and a duration of 9 months.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Due for update

Updated over a year ago

Check the official programme website for potential updates.

Statistical Science
-
University of Oxford

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