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MATH6028 2027-28
Statistical Seminar Series II
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MATH6028 2025-26
Statistical Seminar Series II
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MATH6028 2026-27
Statistical Seminar Series II
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ECON1007 2025-26
Statistics for Economics
All economics students, on both single and joint honours programmes, take this course. It is optional for students outside of economics. The module is designed to prepare students for the econometrics modules taken in second and third year. It also complements the economics modules taken in by students in first and second year. It provides an introduction to the topic of statistics, with reference to economics examples. It then covers more advanced topics leading up to regression analysis.
The course content is as follows: describing data; probability; discrete random variables; continuous random variables; sampling; estimation; hypothesis testing; simple regression and multiple regression.
One of the pre-requisites for MATH2040, MATH3085, ECON1021, ECON2001, ECON2002, ECON2003, ECON2004, ECON2026 and ECON3016. -
ECON1007 2026-27
Statistics for Economics
The module is designed to prepare economics students for the econometrics modules taken in their second and third year. The module provides an introduction to the topic of statistics, with particular reference to the use of statistics to address questions in economics. The module content covers both descriptive statistics and statistical inference, leading up to regression analysis.
The course content is typically as follows: describing data; probability; random variables; sampling; estimation; hypothesis testing; simple and multiple regression. -
STAT6088 2025-26
Statistics in Government
The module provides an overview of issues and ideas concerning the scope and organisation of Official Statistics and its processes and products, including Statistical Acts and Codes of Practice.
The module provides a general foundation for the more detailed study of these elements and identifies links with other relevant disciplines -
STAT6141 2026-27
Statistics in Government
The module provides an overview of issues and ideas concerning the scope and organisation of Official Statistics and its processes and products, including Statistical Acts and Codes of Practice.
The module provides a general foundation for the more detailed study of these elements and identifies links with other relevant disciplines. -
MATH6031 2025-26
Statistics Project
The Statistics Project gives MSc students to conduct an in-depth study, either of a particular advanced statistical methodology, or of the application of one or more methods to real applied problems. The aim is to develop skills of organising work, identifying and directing your own work and writing a comprehensive report on a major piece of work. The choice of project is determined by the student's own interests and every student will benefit from one-to-one meetings with a supervisor, usually a member of academic staff. -
MATH6031 2026-27
Statistics Project
The Statistics Project gives MSc students to conduct an in-depth study, either of a particular advanced statistical methodology, or of the application of one or more methods to real applied problems. The aim is to develop skills of organising work, identifying and directing your own work and writing a comprehensive report on a major piece of work. The choice of project is determined by the student's own interests and every student will benefit from one-to-one meetings with a supervisor, usually a member of academic staff. -
PHYS3010 2027-28
Stellar Evolution
This course is a showcase for how the various branches of physics come together to give rise to real life phenomena. Using the example of stars, we will revisit a wide range of different physics and see how the various ingredients interact and thus how all branches of physics play a role in creating the fundamental building blocks of the universe. The emphasis of the course is on the more theoretical aspects of physics. The course is compulsory for ‘with Astronomy’ students but offers a good opportunity for all Physics students who want to obtain a hands-on experience of ‘the bigger picture’ in physics.