Back to top

Course Materials

Lecture Lists

Intercollegiate classes

Part A

Statistics Options MT 2017 slides [PDF]
A8 Probability
A9 Statistics
A12 Simulation and Statistical Programming

Part B

SB1.1 Applied Statistics (formerly SB1a) – Dr Laws
SB1.1 Applied Statistics (formerly SB1a) – Dr Rogers
SB1.2 Computational Statistics (formerly SB1b) – Professor Caron
SB1.2 Computational Statistics (formerly SB1b) – Professor Nicholls
SB1 Practicals letter 2017/2018 [PDF]
Declaration of Authorship [PDF]
Link to University guidance on plagiarism

SB2.1 Foundations of Statistical Inference (formerly SB2a) (via WebLearn)
SB2.2 Statistical Machine Learning (formerly SB2b) [Specimen examinations and solutions can be found on WebLearn, navigate to Part B – SB2b.]
SB3.1 Applied Probability (formerly SB3a)
SB3.2 Statistical Lifetime Models (formerly SB3b)
SB4.1 Actuarial Science (formerly SB4a/SB4b)

Actuarial Exemptions notice [PDF]
Actuarial Exemptions form [PDF]

Link to specimen examination solutions – via WebLearn

Part C

SC1 Stochastic Models in Mathematical Genetics
SC2 Probability and Statistics for Network Analysis – available via Weblearn
SC4 Advanced Topics in Statistical Machine Learning. Link to some specimen examination solutions – via WebLearn
SC5 Advanced Simulation Methods
SC6 Graphical Models. Link to specimen examination questions – via WebLearn
SC7 Bayes Methods. Link to specimen examination questions – via WebLearn
SC8 Topics in Computational Biology
SC9 Interacting Particle Systems
SC10 Algorithmic Foundations of Learning

Part C project information


Link to course material from the Mathematical Institute
Link to specimen examination solutions – via WebLearn
Link to Mathematics specimen examination solutions


Mathematical Institute webpages for undergraduates
Mathematics Undergraduate Representative Committee (MURC)
Joint Consultative Committee with Undergraduates (JCCU)
Departmental complaint and appeals procedure [PDF]
University policy on plagiarism
Link to University’s student webpages

Skills and study resources

Oxford University IT Services – IT Learning Centre
Oxford University Careers Service
Oxford University Language Centre
Library: information for Library users including links to e-resources
Mathematical Institute study guide for undergraduates