Mathematics and Statistics

Bachelor's degree

In Oxford

Price on request

Description

  • Type

    Bachelor's degree

  • Location

    Oxford

UCAS code GG13 Duration
3 years (BA)
4 years (MMath)
Entrance requirements
A*A*A with the A*s in Maths and Further Maths if taken
Subject requirements Maths
Further Maths
Admissions test(s) ox.ac.uk/mat Written work None
Admissions statistics*
Interviewed: 27%
Successful: 6%
Intake: 13
*3-year average 2017-19
Contact
+44 (0) 1865 615205
Email Maths
+44 (0) 1865 282926
Email Statistics
Subject requirements: Essential Recommended Helpful – may be useful on course
Unistats information for this course can be found at the bottom of the page
Please note that there may be no data available if the number of course participants is very small.
All over the world, human beings create an immense and ever-increasing volume of data, with new kinds of data regularly emerging from science and industry. A new understanding of the value of these data to society has emerged, and with it, a new and leading role for statistics. In order to produce sensible theories and draw accurate conclusions from data, cutting-edge statistical methods are needed. These methods use advanced mathematical ideas combined with modern computational techniques, which require expert knowledge and experience to apply. A degree in Mathematics and Statistics equips you with the requisite skills for developing and implementing these methods, and provides a fascinating combination of deep and mathematically well-grounded method-building and wide-ranging applied work with data.

">Video of Mathematics and Statistics at Oxford University
.
The Department of Statistics at Oxford is an exciting and dynamic place to study, with teaching and research strengths in a wide range of modern areas of statistical science. Many of its academic staff work in the development of fundamental statistical methodology and probability. There is a strong new research group working on statistical machine learning and scalable methods for Big Data

Facilities

Location

Start date

Oxford (Oxfordshire)
See map
Wellington Square, OX1 2JD

Start date

On request

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Reviews

Subjects

  • Simulation
  • Maths
  • Calculus
  • Teaching
  • Email
  • Staff
  • Options
  • Statistics
  • Mathematics
  • University
  • Computational
  • GCSE Mathematics
  • Probability
  • Decisions
  • Selectivity
  • Availability

Course programme

A typical week

The typical week of a student in Mathematics and Statistics is similar to that for Mathematics:

Mathematics
  • Years 1 and 2: around ten lectures and 2–3 tutorials or classes a week
  • Years 3 and 4: 8–12 lectures and 2–4 classes a week, depending on options taken. (Courses involving statistical software packages have some lecture hours replaced by teaching sessions in labs).
  • Years 1 and 2: around ten lectures and 2–3 tutorials or classes a week
  • Years 3 and 4: 8–12 lectures and 2–4 classes a week, depending on options taken. (Courses involving statistical software packages have some lecture hours replaced by teaching sessions in labs).
  • Tutorials are usually 2-4 students and a tutor. Class sizes may vary depending on the options you choose. There would usually be around 8-12 students though classes for some of the more popular papers may be larger. Most tutorials, classes, and lectures are delivered by staff who are tutors in their subject. Many are world-leading experts with years of experience in teaching and research. Some teaching may also be delivered by postgraduate students who are usually studying at doctorate level. To find out more about how our teaching year is structured, visit our Academic Year page.

    Academic YearCourse structure

    The first year of this course is identical to Mathematics, and the core mathematics part of the degree is completed in the first term of the second year. You will also follow second-year Mathematics courses in probability and statistics, and the remainder of the second year allows for some choice of topics in preparation for the greater selectivity of the third and fourth years. In the first two years it is usually straightforward to move between the Mathematics course and the Mathematics and Statistics course, subject to the availability of space on the course and to the consent of your college.

    Mathematics

    There are two Mathematics and Statistics degrees, the three-year BA and the four-year MMath. Decisions regarding continuation to the fourth year do not have to be made until the third year. All third- and fourth-year mathematical topics available in the Mathematics course are also available to Mathematics and Statistics students. The fourth year is naturally more challenging and provides an opportunity for more in-depth study, including a substantial Statistics project.

    YEAR 1

    COURSES

    Compulsory Year 1 includes:

    • Algebra
    • Analysis
    • Probability and statistics
    • Geometry and dynamics
    • Multivariate calculus and mathematical models

    ASSESSMENT

    First University examinations: five compulsory papers; Computational mathematics projects

    YEAR 2

    COURSES

    Current core courses:

    • Probability
    • Statistics
    • Algebra and differential equations
    • Metric spaces and complex analysis

    Current options:

    • Simulation and statistical programming
    • Selection from a menu of other options in Mathematics

    ASSESSMENT

    Final University examinations, Part A: five core papers and four or five optional papers

    YEAR 3

    COURSES

    Current options include:
    • Applied and computational statistics
    • Statistical inference
    • Statistical machine learning
    • Applied probability
    • Statistical lifetime models
    • Actuarial science
    • Wide range of other options in Mathematics

    ASSESSMENT

    Final University examinations, Part B: the equivalent of eight written papers including assessed practicals

    YEAR 4

    COURSES

    • Statistics dissertation

    Current options include:

    • Stochastic models in mathematical genetics
    • Network analysis
    • Advanced statistical machine learning
    • Advanced simulation methods
    • Graphical models
    • Bayes methods
    • Computational biology
    • Algorithmic foundations of learning
    • Wide range of other options in Mathematics

    The options listed above are illustrative and may change. A full list of current options is available on the Mathematics and Statistics websites.

    ASSESSMENT

    Final University examinations, Part C: the equivalent of eight written papers. (Currently a 2:1 in Parts A and B, as well as a 2:1 in Part B alone, is required to progress to Part C.)

    YEAR 1

    COURSES

    Compulsory Year 1 includes:

    • Algebra
    • Analysis
    • Probability and statistics
    • Geometry and dynamics
    • Multivariate calculus and mathematical models

    ASSESSMENT

    First University examinations: five compulsory papers; Computational mathematics projects

    YEAR 2

    COURSES

    Current core courses:

    • Probability
    • Statistics
    • Algebra and differential equations
    • Metric spaces and complex analysis

    Current options:

    • Simulation and statistical programming
    • Selection from a menu of other options in Mathematics

    ASSESSMENT

    Final University examinations, Part A: five core papers and four or five optional papers

    YEAR 3

    COURSES

    Current options include:
    • Applied and computational statistics
    • Statistical inference
    • Statistical machine learning
    • Applied probability
    • Statistical lifetime models
    • Actuarial science
    • Wide range of other options in Mathematics

    ASSESSMENT

    Final University examinations, Part B: the equivalent of eight written papers including assessed practicals

    YEAR 4

    COURSES

    • Statistics dissertation

    Current options include:

    • Stochastic models in mathematical genetics
    • Network analysis
    • Advanced statistical machine learning
    • Advanced simulation methods
    • Graphical models
    • Bayes methods
    • Computational biology
    • Algorithmic foundations of learning
    • Wide range of other options in Mathematics

    The options listed above are illustrative and may change. A full list of current options is available on the Mathematics and Statistics websites.

    ASSESSMENT

    Final University examinations, Part C: the equivalent of eight written papers. (Currently a 2:1 in Parts A and B, as well as a 2:1 in Part B alone, is required to progress to Part C.)

    YEAR 1YEAR 1YEAR 1

    COURSES

    Compulsory Year 1 includes:

    • Algebra
    • Analysis
    • Probability and statistics
    • Geometry and dynamics
    • Multivariate calculus and mathematical models

    ASSESSMENT

    First University examinations: five compulsory papers; Computational mathematics projects

    COURSES

    Compulsory Year 1 includes:

    • Algebra
    • Analysis
    • Probability and statistics
    • Geometry and dynamics
    • Multivariate calculus and mathematical models

    COURSES

    COURSES

    Compulsory Year 1 includes:

    • Algebra
    • Analysis
    • Probability and statistics
    • Geometry and dynamics
    • Multivariate calculus and mathematical models
  • Algebra
  • Analysis
  • Probability and statistics
  • Geometry and dynamics
  • Multivariate calculus and mathematical models
  • ASSESSMENT

    First University examinations: five compulsory papers; Computational mathematics projects

    ASSESSMENT

    ASSESSMENT

    First University examinations: five compulsory papers; Computational mathematics projects

    YEAR 2YEAR 2YEAR 2

    COURSES

    Current core courses:

    • Probability
    • Statistics
    • Algebra and differential equations
    • Metric spaces and complex analysis

    Current options:

    • Simulation and statistical programming
    • Selection from a menu of other options in Mathematics

    ASSESSMENT

    Final University examinations, Part A: five core papers and four or five optional papers

    COURSES

    Current core courses:

    • Probability
    • Statistics
    • Algebra and differential equations
    • Metric spaces and complex analysis

    Current options:

    • Simulation and statistical programming
    • Selection from a menu of other options in Mathematics

    COURSES

    COURSES

    Current core courses:

    • Probability
    • Statistics
    • Algebra and differential equations
    • Metric spaces and complex analysis
  • Probability
  • Statistics
  • Algebra and differential equations
  • Metric spaces and complex analysis
  • Current options:

    • Simulation and statistical programming
    • Selection from a menu of other options in Mathematics
  • Simulation and statistical programming
  • Selection from a menu of other options in Mathematics
  • ASSESSMENT

    Final University examinations, Part A: five core papers and four or five optional papers

    ASSESSMENT

    ASSESSMENT

    Final University examinations, Part A: five core papers and four or five optional papers

    YEAR 3YEAR 3YEAR 3

    COURSES

    Current options include:
    • Applied and computational statistics
    • Statistical inference
    • Statistical machine learning
    • Applied probability
    • Statistical lifetime models
    • Actuarial science
    • Wide range of other options in Mathematics

    ASSESSMENT

    Final University examinations, Part B: the equivalent of eight written papers including assessed practicals

    COURSES

    Current options include:
    • Applied and computational statistics
    • Statistical inference
    • Statistical machine learning
    • Applied probability
    • Statistical lifetime models
    • Actuarial science
    • Wide range of other options in Mathematics

    COURSES

    COURSES
    • Applied and computational statistics
    • Statistical inference
    • Statistical machine learning
    • Applied probability
    • Statistical lifetime models
    • Actuarial science
    • Wide range of other options in Mathematics
  • Applied and computational statistics
  • Statistical inference
  • Statistical machine learning
  • Applied probability
  • Statistical lifetime models
  • Actuarial science
  • Wide range of other options in Mathematics
  • ASSESSMENT

    Final University examinations, Part B: the equivalent of eight written papers including assessed practicals

    ASSESSMENT

    ASSESSMENT

    Final University examinations, Part B: the equivalent of eight written papers including assessed practicals

    YEAR 4
    YEAR 4
    YEAR 4

    COURSES

    • Statistics dissertation

    Current options include:

    • Stochastic models in mathematical genetics
    • Network analysis
    • Advanced statistical machine learning
    • Advanced simulation methods
    • Graphical models
    • Bayes methods
    • Computational biology
    • Algorithmic foundations of learning
    • Wide range of other options in Mathematics

    The options listed above are illustrative and may change. A full list of current options is available on the Mathematics and Statistics websites.

    ASSESSMENT

    Final University examinations, Part C: the equivalent of eight written papers. (Currently a 2:1 in Parts A and B, as well as a 2:1 in Part B alone, is required to progress to Part C.)

    COURSES

    • Statistics dissertation

    Current options include:

    • Stochastic models in mathematical genetics
    • Network analysis
    • Advanced statistical machine learning
    • Advanced simulation methods
    • Graphical models
    • Bayes methods
    • Computational biology
    • Algorithmic foundations of learning
    • Wide range of other options in Mathematics

    The options listed above are illustrative and may change. A full list of current options is available on the Mathematics and Statistics websites.

    COURSES

    COURSESCOURSES
    • Statistics dissertation
  • Statistics dissertation
  • Current options include:

    • Stochastic models in mathematical genetics
    • Network analysis
    • Advanced statistical machine learning
    • Advanced simulation methods
    • Graphical models
    • Bayes methods
    • Computational biology
    • Algorithmic foundations of learning
    • Wide range of other options in Mathematics
  • Stochastic models in mathematical genetics
  • Network analysis
  • Advanced statistical machine learning
  • Advanced simulation methods
  • Graphical models
  • Bayes methods
  • Computational biology
  • Algorithmic foundations of learning
  • Wide range of other options in Mathematics
  • The options listed above are illustrative and may change. A full list of current options is available on the Mathematics and Statistics websites.

    The options listed above are illustrative and may change. A full list of current options is available on the Mathematics and Statistics websites.MathematicsStatistics

    ASSESSMENT

    Final University examinations, Part C: the equivalent of eight written papers. (Currently a 2:1 in Parts A and B, as well as a 2:1 in Part B alone, is required to progress to Part C.)

    ASSESSMENT

    ASSESSMENT

    Final University examinations, Part C: the equivalent of eight written papers. (Currently a 2:1 in Parts A and B, as well as a 2:1 in Part B alone, is required to progress to Part C.)

    The content and format of this course may change in some circumstances. Read further information about potential course changes.

    The content and format of this course may change in some circumstances. Read further information about potential course changes.

    The content and format of this course may change in some circumstances. Read further information about potential course changes.

    The content and format of this course may change in some circumstances. Read further information about potential course changes.

    potential course changes

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    Overview

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    Overview
    Overview

    Mathematics and Statistics

    Price on request