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University of Oxford: Statistical Science
Institution | University of Oxford |
---|---|
Department | Statistics |
Web | https://www.ox.ac.uk |
graduate.admissions@admin.ox.ac.uk | |
Telephone | +44 (0)1865 270059 |
Study type | Taught |
MSc
Summary
**The information provided on this page was correct at the time of publication (November 2023). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas.**
**PGDip**
The Postgraduate Diploma in Statistical Science 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.
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 course 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.
Students take a mixture of core courses and optional courses. The core courses are compulsory and involve practical components that students must complete.
**MSc**
The MSc in Statistical Science is a twelve-month full-time taught master’s degree running from October to September each academic year. The MSc has a particular focus on modern computationally-intensive theory and methods.
The MSc in Statistical Science will aim 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 MSc 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, report writing and dissertation supervision. You will have around three months to work on your dissertation with guidance from your supervisor, offering you a substantial opportunity for self-directed study and research.
Students take a mixture of core courses and optional courses. The core courses are compulsory and involve practical components that students must complete.
**For the full description with information on course modules, patterns of learning and teaching, supervision etc, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas**
Level | RQF Level 7 |
---|---|
Entry requirements | For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas |
Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
Summary
**The information provided on this page was correct at the time of publication (November 2022). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas.**
**PGDip**
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 course 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.
Students take a mixture of core courses and optional courses. The core courses are compulsory and involve practical components that students must complete.
**MSc**
The MSc in Statistical Science is a twelve-month full-time taught master’s degree running from October to September each academic year. The MSc has a particular focus on modern computationally-intensive theory and methods.
The MSc in Statistical Science will aim 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 MSc 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, report writing and dissertation supervision. You will have around three months to work on your dissertation with guidance from your supervisor, offering you a substantial opportunity for self-directed study and research.
Students take a mixture of core courses and optional courses. The core courses are compulsory and involve practical components that students must complete.
Level | RQF Level 7 |
---|---|
Entry requirements | For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas |
Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
Summary
**The information provided on this page was correct at the time of publication (October/November 2021). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas.**
**MSc**
The MSc in Statistical Science will aim 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 MSc 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, report writing and dissertation supervision. You will have around three months to work on your dissertation with guidance from your supervisor, offering you a substantial opportunity for self-directed study and research.
Students take a mixture of core courses and optional courses. The core courses are compulsory and involve practical components that students must complete.
**PGDip**
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 course 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.
Students take a mixture of core courses and optional courses. The core courses are compulsory and involve practical components that students must complete.
Level | RQF Level 7 |
---|---|
Entry requirements | For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas |
Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
Postgraduate Diploma - PgDip
Summary
**The information provided on this page was correct at the time of publication (November 2023). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas.**
**PGDip**
The Postgraduate Diploma in Statistical Science 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.
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 course 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.
Students take a mixture of core courses and optional courses. The core courses are compulsory and involve practical components that students must complete.
**MSc**
The MSc in Statistical Science is a twelve-month full-time taught master’s degree running from October to September each academic year. The MSc has a particular focus on modern computationally-intensive theory and methods.
The MSc in Statistical Science will aim 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 MSc 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, report writing and dissertation supervision. You will have around three months to work on your dissertation with guidance from your supervisor, offering you a substantial opportunity for self-directed study and research.
Students take a mixture of core courses and optional courses. The core courses are compulsory and involve practical components that students must complete.
**For the full description with information on course modules, patterns of learning and teaching, supervision etc, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas**
Level | RQF Level 7 |
---|---|
Entry requirements | For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas |
Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
Summary
**The information provided on this page was correct at the time of publication (November 2022). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas.**
**PGDip**
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 course 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.
Students take a mixture of core courses and optional courses. The core courses are compulsory and involve practical components that students must complete.
**MSc**
The MSc in Statistical Science is a twelve-month full-time taught master’s degree running from October to September each academic year. The MSc has a particular focus on modern computationally-intensive theory and methods.
The MSc in Statistical Science will aim 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 MSc 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, report writing and dissertation supervision. You will have around three months to work on your dissertation with guidance from your supervisor, offering you a substantial opportunity for self-directed study and research.
Students take a mixture of core courses and optional courses. The core courses are compulsory and involve practical components that students must complete.
Level | RQF Level 7 |
---|---|
Entry requirements | For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas |
Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
Summary
**The information provided on this page was correct at the time of publication (October/November 2021). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas.**
**MSc**
The MSc in Statistical Science will aim 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 MSc 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, report writing and dissertation supervision. You will have around three months to work on your dissertation with guidance from your supervisor, offering you a substantial opportunity for self-directed study and research.
Students take a mixture of core courses and optional courses. The core courses are compulsory and involve practical components that students must complete.
**PGDip**
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 course 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.
Students take a mixture of core courses and optional courses. The core courses are compulsory and involve practical components that students must complete.
Level | RQF Level 7 |
---|---|
Entry requirements | For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas |
Location | University of Oxford University Offices Wellington Square Oxford OX1 2JD |
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