Undergraduate study

Undergraduate 

Business Economics MA(SocSci)

Mathematical Methods for Economists ECON4074

  • Academic Session: 2026-27
  • School: Adam Smith Business School
  • Credits: 15
  • Level: Level 4 (SCQF level 10)
  • Typically Offered: Semester 1
  • Available to Visiting Students: Yes
  • Collaborative Online International Learning: No
  • Curriculum For Life: No

Short Description

This course offers students an opportunity to become familiar with and apply the mathematical methods commonly used in contemporary economic analysis. Those methods would include the calculus of several variables, matrix and linear algebra, basic topology, optimisation, and probability theory.

Timetable

20 Lectures (10 x 2-hour lectures) and 10 tutorials (10 x 1-hour)

Tutorials are held at various times and can be selected on MyCampus

Excluded Courses

None.

Assessment

1. In-course exam: online; Individual; 45 minutes; 40%; ILOs 1-4.
2. Degree exam: in-person; Individual; 120 minutes; 60%; ILOs 1-5.

Main Assessment In: December

Course Aims

The course aims to

- Equip students with a level of mathematical training adequate for contemporary Economics science

- Provide students with computational skills and technical knowledge, necessary to understand and apply Economics concepts at an advanced level;

- Provide students with the skills and knowledge to be successful in the quantitative-intensive job market as well as preparing students for postgraduate study as part of their career path.

Intended Learning Outcomes of Course

By the end of this course students will be able to:

1.  Formulate and explain core mathematical concepts and methods, used in contemporary economics

2.  Describe and Illustrate how various mathematical constructs within the covered material can indicate economic and/or statistical relationships

3.  Use formal-logical reasoning and to summarise it in clearly written arguments

4. Solve relevant economics models by applying mathematical computational skills to obtain results

5. Derive, solve and explain various optimisation problems

Minimum Requirement for Award of Credits

No exceptions