MSc in Applicable Mathematics

Page contents > Papers 2, 3 & 4 options list | Footnotes

Programme Code: TMAPMA

Department: Mathematics

For students starting this programme of study in 2021/22

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 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 Advanced 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 Contemporary Discrete Mathematics (0.5) ^#
	MA409 Continuous Time Optimisation (0.5) ^#
	MA410 Information, Communication and Cryptography (0.5) ^#
	MA411 Probability and Measure (0.5) ^#
	MA412 Functional Analysis and its Applications (0.5) ^# (not available 2022/23)
	MA413 Games of Incomplete Information (0.5) ^# (not available 2022/23)
	MA414 Stochastic Analysis (0.5) ^# (not available 2022/23)
	MA418 Preferences, Optimal Portfolio Choice, and Equilibrium (0.5) ^# (withdrawn 2022/23)
	MA420 Quantifying Risk and Modelling Alternative Markets (0.5) ^# (not available 2022/23)
	MA421 Advanced Algorithms (0.5) ^#
	MA427 Mathematical Optimisation (0.5) ^#
	MA428 Combinatorial Optimisation (0.5) ^#
	MA429 Algorithmic Techniques for Data Mining (0.5) ^#
	MA431 Advanced Topics in Operations Research and Applicable Mathematics (0.5) ^# (not available 2022/23)
	MA433 Mathematics of Networks (0.5) ^# ^B
	MA434 Algorithmic Game Theory (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) ^#
	FM430 Corporate Finance and Asset Markets (1.0) ^# (not available 2022/23)
	FM441 Derivatives (0.5) ^#
	FM442 Quantitative Methods for Finance and Risk Analysis (0.5) ^# ^C
	MG409 Auctions and Game Theory (0.5) ^#
	ST409 Stochastic Processes (0.5) ^#
	ST418 Non-Linear Dynamics and the Analysis of Real Time Series (0.5) ^# (not available 2022/23)
	ST422 Time Series (0.5) ^#
	ST455 Reinforcement Learning (0.5) ^#
	ST456 Deep Learning (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 Contemporary Discrete Mathematics (0.5) ^#
MA409 Continuous Time Optimisation (0.5) ^#
MA410 Information, Communication and Cryptography (0.5) ^#
MA411 Probability and Measure (0.5) ^#
MA412 Functional Analysis and its Applications (0.5) ^# (not available 2022/23)
MA413 Games of Incomplete Information (0.5) ^# (not available 2022/23)
MA414 Stochastic Analysis (0.5) ^# (not available 2022/23)
MA418 Preferences, Optimal Portfolio Choice, and Equilibrium (0.5) ^# (withdrawn 2022/23)
MA420 Quantifying Risk and Modelling Alternative Markets (0.5) ^# (not available 2022/23)
MA421 Advanced Algorithms (0.5) ^#
MA427 Mathematical Optimisation (0.5) ^#
MA428 Combinatorial Optimisation (0.5) ^#
MA429 Algorithmic Techniques for Data Mining (0.5) ^#
MA431 Advanced Topics in Operations Research and Applicable Mathematics (0.5) ^# (not available 2022/23)
MA433 Mathematics of Networks (0.5) ^#
MA434 Algorithmic Game Theory (0.5) ^#

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.

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

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.