MG4F7      Half Unit
Business Analysis

This information is for the 2025/26 session.

Course Convenor

Prof Noam Yuchtman

Availability

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

Course content

The course is designed to achieve an understanding of fundamental notions of data presentation and data analysis and to use statistical thinking in the context of business problems. The course deals with modern methods of data exploration (designed to reveal unusual or problematic aspects of databases), the uses and abuses of the basic techniques of inference, and the use of regression as a tool for management and for financial analysis.

Teaching

15 hours of lectures and 9 hours of seminars in the Autumn Term.

This course has a reading week in Week 6 of Autumn Term.

In its Ethics Code, LSE upholds a commitment to intellectual freedom. This means we will protect the freedom of expression of our students and staff and the right to engage in healthy debate in the classroom.

Formative assessment

The two formative assessments will be in class exercises with two components. One component will help prepare students for the Project (i.e., an application of a statistical technique to solve a company problem or research question), and the other component will help prepare students for the Final Exam.

 

Indicative reading

Statistics for Business Decision Making and Analysis, by Robert Stine and Dean Foster (S & F) second edition Pearson.

Assessment

Exam (70%), duration: 120 Minutes, reading time: 15 minutes in the January exam period

Continuous assessment (10%)

Project (20%, 3000 words)

For detailed assessment information, including all deadlines and timings, please see the relevant course Moodle page. Assessment timings will be available at the start of each term.


Key facts

Department: Management

Course Study Period: Autumn Term

Unit value: Half unit

FHEQ Level: Level 7

CEFR Level: Null

Total students 2024/25: 73

Average class size 2024/25: 18

Controlled access 2024/25: No
Guidelines for interpreting course guide information

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.

Personal development skills

  • Leadership
  • Self-management
  • Team working
  • Problem solving
  • Application of information skills
  • Communication
  • Application of numeracy skills
  • Commercial awareness