MSc in Operations Research & Analytics

Programme Code: TMORA

Department: Mathematics

For students starting this programme of study in 2018/19

Guidelines for interpreting programme regulations

Classification scheme for the award of a taught master's degree (four units)
Exam sub-board local rules

Full-year programme. Students must take three compulsory courses, options to the value of 1.5 units and a project or dissertation as shown.

Please note that places are limited on some optional courses. Admission onto any particular course is not guaranteed and may be subject to timetabling constraints and/or students meeting specific prerequisite requirements.


Paper	Course number, title (unit value)
Paper 1	MA423 Fundamentals of Operations Research (0.5) ^#
Paper 2	MA424 Modelling in Operations Research (0.5) ^#
Paper 3	ST447 Data Analysis and Statistical Methods (0.5) ^#
Paper 4	Courses to the value of 0.5 unit(s) from the following:
	MA407 Algorithms and Computation (0.5) ^#
	MA421 Advanced Algorithms (0.5) ^#
	MA427 Mathematical Optimisation (0.5) ^#
	MA428 Combinatorial Optimisation (0.5) ^#
	MA429 Algorithmic Techniques for Data Mining (0.5) ^#
	MA430 Efficient Algorithms For Hard Optimisation Problems (0.5) ^# (withdrawn 2020/21)
Paper 5	Courses to the value of 0.5 unit(s) from the following:
	MG401 Operations Management for Management Consultancy (0.5) ^#
	MG405 Behavioural Decision Science (0.5) ^# (withdrawn 2018/19)
	MG409 Auctions and Game Theory (0.5) ^#
	MG422 Thinking Strategically (0.5) ^#
	MG481 Innovating Organisational Information Technology (0.5) ^#
	MG4B3 International Marketing: A Strategic Approach (0.5)
	Another course from those listed under Paper 4.
	Any other MG4 or MA4 course, with approval of the Programme Director, subject to availability.
Paper 6	Courses to the value of 0.5 unit(s) from the following:
	Another course from those listed under Paper 4.
	MA402 Mathematical Game Theory (0.5) ^#
	MA408 Contemporary Discrete Mathematics (0.5) ^#
	MA409 Continuous Time Optimisation (0.5) ^#
	MA410 Information, Communication and Cryptography (0.5) ^#
	MA431 Advanced Topics in Operations Research and Applicable Mathematics (0.5) ^# (not available 2022/23)
	ST409 Stochastic Processes (0.5) ^#
	ST422 Time Series (0.5) ^#
	ST444 Computational Data Science (0.5) ^#
	ST446 Distributed Computing for Big Data (0.5) ^#
	Any other MSc-level course, with approval of the Programme Director and the teacher responsible for the course.
Paper 7	MA425 Project in Operations Research & Analytics (1.0) or
	MA426 Dissertation in Operations Research & Analytics (1.0)

# means there may be prerequisites for this course. Please view the course guide for more information.

Students may choose at most one of the following three optional courses as part of this programme: MG409, MG422, MA402.

Upon supplying satisfactory evidence to the course convenor of relevant previous courses taken, a student may be exempted from a course specified in Paper 1, 2, or 3, at the discretion of the Programme Director and upon supplying satisfactory evidence to the course convenor of previous study of the course's content. A student shall replace such a course with another module, chosen subject to approval of the Programme Director. Exemption from more than one course is rare.

Please note that not all optional courses are available every year.

Note for prospective students:
For changes to graduate course and programme information for the next academic session, please see the graduate summary page for prospective students. Changes to course and programme information for future academic sessions can be found on the graduate summary page for future students.

MSc in Operations Research & Analytics

Paper

Course number, title (unit value)