MSc in Applicable Mathematics

Page contents > Papers 2, 3 & 4 options list | Prerequisite Requirements and Mutually Exclusive Options | Footnotes

Programme Code: TMAPMA

Department: Mathematics

For students starting this programme of study in 2024/25

Guidelines for interpreting programme regulations

Full year programme. Students must take courses to the value of four full units.

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	Courses to the value of 0.5 unit(s) from the following:
	MA407 Algorithms and Computation (0.5) ^#
	MA421 Topics in Algorithms (0.5) ^#
Papers 2, 3 & 4	Courses to the value of 1.5 unit(s) from the following:
	MA402 Mathematical Game Theory (0.5) ^# ^A
	MA408 Topics in Discrete Mathematics (0.5) ^#
	MA409 Continuous Time Optimisation (0.5) ^#
	MA411 Probability and Measure (0.5) ^#
	MA414 Stochastic Analysis (0.5) ^# (not available 2024/25)
	MA421 Topics in Algorithms (0.5) ^#
	MA427 Mathematical Optimisation (0.5) ^#
	MA428 Combinatorial Optimisation (0.5) ^#
	MA429 Algorithmic Techniques in Machine Learning (0.5) ^#
	MA431 Advanced Topics in Operations Research and Applicable Mathematics (0.5) ^# (not available 2024/25)
	MA433 Mathematics of Networks (0.5) ^# ^B
	MA434 Algorithmic Game Theory (0.5) ^# (not available 2024/25)
	MA435 Machine Learning in Financial Mathematics (0.5) ^#
Papers 5 & 6	Courses to the value of 1.0 unit(s) from the following:
	EC484 Econometric Analysis (1.0) ^#
	EC487 Advanced Microeconomics (1.0) ^#
	FM402 Financial Risk Analysis (0.5) ^#
	FM429 Asset Markets A (0.5) ^#
	FM441 Derivatives (0.5) ^#
	FM442 Quantitative Methods for Finance and Risk Analysis (0.5) ^# ^C
	ST409 Stochastic Processes (0.5) ^#
	ST418 Advanced Time Series Analysis (0.5) ^#
	ST455 Reinforcement Learning (0.5) ^#
	ST456 Deep Learning (0.5) ^#
	ST459 Quantum Computation and Information (0.5) ^#
	ST463 Stochastic Simulation, Training, and Calibration (0.5) ^#
	Any other paper with the approval of the Programme Director and the teacher responsible for the course, excluding MA415, MA416, MA417 and MA424.
	Papers 2, 3 & 4 options list
Paper 7	MA498 Dissertation in Mathematics (1.0)

Papers 2, 3 & 4 options list

MA402 Mathematical Game Theory (0.5) ^#
MA408 Topics in Discrete Mathematics (0.5) ^#
MA409 Continuous Time Optimisation (0.5) ^#
MA411 Probability and Measure (0.5) ^#
MA414 Stochastic Analysis (0.5) ^# (not available 2024/25)
MA421 Topics in Algorithms (0.5) ^#
MA427 Mathematical Optimisation (0.5) ^#
MA428 Combinatorial Optimisation (0.5) ^#
MA429 Algorithmic Techniques in Machine Learning (0.5) ^#
MA431 Advanced Topics in Operations Research and Applicable Mathematics (0.5) ^# (not available 2024/25)
MA433 Mathematics of Networks (0.5) ^#
MA434 Algorithmic Game Theory (0.5) ^# (not available 2024/25)
MA435 Machine Learning in Financial Mathematics (0.5) ^#

Prerequisite Requirements and Mutually Exclusive Options

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

Footnotes

A : This option will not be available to those who have already studied MA300 and MA301, or who have studied this subject as part of an undergraduate degree.

B : This option will not be available to those who have already studied MA320.

C : Students taking this course can apply for a place on FM457 Applied Computational Finance, a non-assessed computer course.

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

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