Introduction to Mathematics and Data Analysis for Managers

This information is for the 2021/22 session.

Teacher responsible

Dr Veronica Rappoport NAB 5.29


This course is compulsory on the MSc in Management (1 Year Programme). This course is not available as an outside option.

Course content

The course is divided into two separate subjects: Data Analysis (Statistics) and Mathematics for Managers.

The Data Analysis (Statistics) course is for all students and covers basic probability and statistics; hypothesis testing; analysis of variance; association, correlation and regression. It also includes basic training on data analysis software (STATA). It provides students with the basic analytical tools required in MG4F7 Business Analysis to analyse business data for decision making.

The Mathematics for Managers course is an introductory mathematics course which covers the following topics with application reference to economics and business: Functions, Linear Equations, Basic Calculus, and Comparative Statics Analysis. It provides students with the basic analytical tools required in MG465 Managerial Economics to analyse models of product market and factor markets competition.


20 hours of lectures in the two weeks prior to the Michaelmas Term. Rounding out the schedule is a full programme of talks and activities designed to smooth your transition to postgraduate study at LSE.

Indicative reading

Statistics: Statistics: Anderson, D., Sweeney, D., Williams, T., Freeman, J., Shoesmith, E. (2009). Statistics for Business and Economics (2nd edition), Hampshire: Cengage Learning.

Huff (1991). How to Lie with Statistics. Penguin.

Quantitative Skills: Hammond, P. and Sydsaeter, K. (2002). Essential Mathematics for Economic Analysis. Prentice Hall; and Jacques, I. (2010). Mathematics for Economics and Business. (7th edition), Pearson.

Writing skills: Wallace, M. and Wray, A. (2011). Critical Reading and Writing for Undergraduates (2nd edition), London: Sage.


No formal assessment.

Course selection videos

Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.

Important information in response to COVID-19

Please note that during 2021/22 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the differing needs of students in attendance on campus and those who might be studying online. For example, this may involve changes to the mode of teaching delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.

Key facts

Department: Management

Total students 2020/21: 73

Average class size 2020/21: Unavailable

Controlled access 2020/21: No

Value: Non-credit bearing

Guidelines for interpreting course guide information

Personal development skills

  • Team working
  • Problem solving
  • Application of numeracy skills
  • Specialist skills