Essential Statistics for Economics and Econometrics

  • Summer schools
  • Department of Statistics
  • Application code SS-ME116
  • Starting 2020
  • Short course: Closed
  • Location: Houghton Street, London

UPDATE: Due to the global COVID-19 pandemic we will no longer be offering this course in summer 2020. Please check our latest news on this situation here.

This is an introductory course on statistics and how it can be used to answer questions about the world.

Our emphasis is on applications in the social and natural sciences. Starting with the foundations of probability and distribution theory, we will use practical examples to introduce important statistical skills, from descriptive statistics to sampling and inference. In addition to these examples, we will conduct interactive experiments in the classroom to demonstrate the use of key techniques.

The course should be of value to anyone intending to pursue further study in statistics or any other field involving the analysis of data.

Session: One
Dates: 22 June – 10 July 2020
Lecturer: Dr Miltiadis Mavrakakis


Programme details

Key facts

Level: 100 level. Read more information on levels in our FAQs

Fees:  Please see Fees and payments

Lectures: 36 hours 

Classes: 18 hours

Assessment*: Two written examinations

Typical credit**: 3-4 credits (US) 7.5 ECTS points (EU)

*Assessment is optional

**You will need to check with your home institution

For more information on exams and credit, read Teaching and assessment


No previous knowledge of statistics will be assumed, but the use of formulae and the ability to perform basic algebraic manipulations will be necessary. Some knowledge of basic calculus, although not necessary, would be an advantage.

Programme structure

  • Data summaries
  • Linear regression
  • Experiments
  • Probability
  • Distribution theory
  • Sampling
  • Point estimation
  • Hypothesis testing

Course outcomes

  • To understand that the point of statistics is to answer questions about the world.
  • To learn to work with data, from constructing simple visual and numerical summaries, to fitting models and assessing the accuracy of their predictions.
  • To develop the ability to critically evaluate uses (and misuses) of statistics.


Department of Statistics at LSE has a distinguished history. Its roots can be traced back to the appointment of Sir Arthur Lyon Bowley, an alumnus of the University of Cambridge, at LSE in 1895. He was appointed Chair in Statistics in 1919, probably the first appointment of its kind in Britain. The Department of Statistics was submitted jointly to REF 2014 with LSE's Department of Mathematics: 84% of the research outputs of the two departments were classed as either world-leading or internationally excellent in terms of originality, significance and rigour.

The department has an international reputation for development of statistical methodology that has grown from its long history of active contributions to research and teaching in statistics for the social sciences.

On this three week intensive programme, you will engage with and learn from full-time lecturers from the LSE’s statistics faculty.

Reading materials

There will be no need to rely on a particular textbook, as full notes will be provided. There are several good textbooks at the right level for this course, such as:

P. Newbold, Statistics for Business and Economics (6th edition or later), Prentice Hall (2007-). 

R.J. Larsen and M.L. Marx, An Introduction to Mathematical Statistics and Its Applications (3rd edition or later), Prentice Hall (2001-).

*A more detailed reading list will be supplied prior to the start of the programme

**Course content, faculty and dates may be subject to change without prior notice

Sign up

Sign up

  • Please enter a valid email address. We will send you relevant material regarding the LSE Summer School programme.
  • Which course subject area(s) would you like to know more about?
  • Your privacy
    The details you give on this form will be stored on a secure database. LSE Summer School will use your data to send you relevant information about the School and to find out about your experiences of applying to LSE. The data on the form will also be used for monitoring purposes and to track future applications. LSE will not give or sell your details to any other third party organisation. Your data is subject to the LSE website terms and conditions and our Data Protection Policy. You can withdraw from our lists at any time by using the 'unsubscribe/manage email preferences' link that can be found in the footer of each email, or by contacting

How to Apply

Related Programmes

Introductory Macroeconomics

Code(s) SS-EC102

Introductory Microeconomics

Code(s) SS-EC101

Further Statistics for Economics and Econometrics

Code(s) SS-ME117

Request a prospectus

  • Name
  • Address

Register your interest

  • Name

Speak to Admissions

Content to be supplied