Skip to Content


Last modified: 22 May 2019 17:07

Course Overview

This course develops a mathematical and statistical ‘toolbox’ for PGT students in the Business School.  These tools will useful in understanding and implementing research in business- and economics-related fields both during a student’s academic career as well as after graduation.  The first part of the course covers basic mathematical models common across these fields.  The second part of the course develops standard data analysis methods, including multivariate regression.  The final part of the course examines shortcomings in the standard model and describes ways of overcoming those shortcomings.

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus None. Sustained Study No
  • Dr Yu Aoki

What courses & programmes must have been taken before this course?

  • Any Postgraduate Programme (Studied)
  • One of MRes Finance or () or () or Master Of Science In International Finance or MSc (Econ) in Finance and Investment Management (Includes Cfa Exam) or Master Of Science In International Finance (Includes Cfa Exam) or MSc Finance and Real Estate (Includes Cfa Exam) or MSc Finance and Real Estate or MSc in Accounting and Finance or () or MSc Economics of Health

What other courses must be taken with this course?


What courses cannot be taken with this course?


Are there a limited number of places available?


Course Description

This course aims to provide an introduction to econometric and mathematical methods used in economics and finance.

In light of Covid-19 this information is indicative and may be subject to change.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

  • 1 Computer Practical during University weeks 12, 14, 16
  • 1 Lecture during University weeks 7 - 17
  • 1 Support Tutorial during University week17
  • 1 Workshop during University weeks 8 - 11, 13, 15, 17

More Information about Week Numbers

In light of Covid-19 and the move to blended learning delivery the assessment information advertised for second half-session courses may be subject to change. All updates for second-half session courses will be actioned in advance of the second half-session teaching starting. Please check back regularly for updates.

Summative Assessments

2-hour examination (70%)

Computer Assignment (10%)

In class test (20%)


Resit: 100% on 2hr written examination.

Formative Assessment

There are no assessments for this course.



Course Learning Outcomes


Compatibility Mode

We have detected that you are have compatibility mode enabled or are using an old version of Internet Explorer. You either need to switch off compatibility mode for this site or upgrade your browser.