Dissertation in Operations Research & Analytics

This information is for the 2019/20 session.

Teacher responsible

Dr Laszlo Vegh


This course is available on the MSc in Management Science (Decision Sciences) and MSc in Operations Research & Analytics. This course is not available as an outside option.

Cannot be taken with MA425 Project in Operations Research & Analytics.

Course content

The aim of the dissertation is for students to pursue an independent piece of research within the field of management science. The dissertation is a quantitative or qualitative investigation in the field. It may be either a theoretical or empirical piece of research. Students must obtain the approval of their advisor before embarking on any research.


10 hours of seminars and 3 hours of seminars in the MT. 9 hours of seminars in the LT. 3 hours of seminars in the ST.

Advisors will normally be allocated according to student dissertation proposals, and it is the student's responsibility to find a suitable dissertation adviser who will advise the student, help provide information and bibliography and identify likely problems with the proposed research. Dissertation guidelines will be issued to students during MT.

The seminars are not compulsory but students are encouraged to attend the same seminar sessions as MA498. Much of the work covered in the MA498 seminars is also useful to MA426.

Formative coursework

Students are required to submit Dissertation Plans to their supervisor in LT and ST.


Dissertation (100%, 10000 words) post-summer term.

Two paper copies of the dissertation must be submitted on a specified date in late August/early September. An electronic version of the dissertation must also be submitted. The word limit for the dissertation is 10,000 words. The dissertation is critical to assessment.

Key facts

Department: Mathematics

Total students 2018/19: 5

Average class size 2018/19: 4

Controlled access 2018/19: No

Value: One Unit

Guidelines for interpreting course guide information

Personal development skills

  • Self-management
  • Problem solving
  • Application of numeracy skills
  • Specialist skills