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Last modified: 31 May 2022 13:05

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 Aberdeen Sustained Study No
  • Dr Yakubu Abdul-Salam

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 Master Of Science In Energy Transition Systems And Technologies 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.

Contact Teaching Time

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

Teaching Breakdown

More Information about Week Numbers

Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

Alternative Assessment

Mid-term Assessment
(20%) Mathematical and Statistical quizzes
(20%) Econometrics quizzes

End-of-Term Assessment
(20%) Problem set assessment comprising Mathematical and Statistical Methods questions
(40%) Problem set assessment comprising Econometrics questions

Alternative Resit Assessment

Resit: Problem set assessment comprising Mathematical and Statistical questions (40%) and Econometrics questions (60%)

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
FactualRememberILO’s for this course are available in the course guide.

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