Dr Marie Oldfield

This course is available on the MSc in Operations Research & Analytics. This course is not available as an outside option.

Cannot be taken with MA426 Dissertation in Operations Research & Analytics.

There are no pre-requisites

The student will carry out and report upon a substantial practical piece of work in Operational Research and Analytics. This may include elements of data science, machine learning, AI and human factors. The project is typically a consulting-like placement with an industry, government, or non-profit partner.

The project is normally provided by the course team. Project allocation is via formal interviews with the client a student has applied for.

A project may be suggested by the student, subject to approval by the MA425 convenor.

Teaching for this course is delivered through seminars totalling a minimum of 16.5 hours across the year. 

Each student will be assigned an LSE project supervisor who will monitor their progress on a continuing basis and give tutorial advice as required.

Detailed suggestions for reading will be provided in the course of supervision.

Project (100%).

Assessment is based on the project report and reflective report.

The student is expected to work on this full time from early June to end of August possibly at the client site. The report is due on or about 31st August.

Additional elements that are required for the course, but not formally assessed are:

• CV & Cover Letters
• Project Presentation
• 2 Progress Reports during the project

This is detailed in the MA425 Handbook