Introduction to Mathematics and Data Analysis for Managers
This information is for the 2017/18 session.
Dr Ricardo Alonso NAB 5.31
This course is compulsory on the MSc in Management (1 Year Programme). This course is not available as an outside option.
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 Operations and Managerial Economics to analyse supply chain models and models of product market and factor markets competition.
20 hours of lectures in the two weeks prior to the Michaelmas Term. There will also be some workshops and tutorial sessions for the statistics portion of the course, to support students preparing practical exercises. Rounding out the schedule is a full programme of talks and activities designed to smooth your transition to postgraduate study at LSE.
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. Students will sit a mock exam at the end of the statistics course based upon the material to aid learning.
Total students 2016/17: Unavailable
Average class size 2016/17: Unavailable
Controlled access 2016/17: No
Value: Non-credit bearing
Personal development skills
- Team working
- Problem solving
- Application of numeracy skills
- Specialist skills