MG4J1
Introduction to Mathematics and Data Analysis for Managers
This information is for the 2020/21 session.
Teacher responsible
Dr Ricardo Alonso NAB 5.31
Availability
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.
Teaching
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.
Assessment
No formal assessment.
Important information in response to COVID-19
Please note that during 2020/21 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 situation of students in attendance on campus and those studying online during the early part of the academic year. For assessment, this may involve changes to mode of 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 2019/20: 73
Average class size 2019/20: Unavailable
Controlled access 2019/20: No
Value: Non-credit bearing
Personal development skills
- Team working
- Problem solving
- Application of numeracy skills
- Specialist skills
