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 2017/18

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 Game Theory I (0.5) ^# ^A
	MA408 Discrete Mathematics and Graph Theory (0.5) ^# (not available 2019/20)
	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 2019/20)
	MA413 Games of Incomplete Information (0.5) ^#
	MA414 Stochastic Analysis (0.5) ^#
	MA418 Preferences, Optimal Portfolio Choice, and Equilibrium (0.5) ^# (not available 2019/20)
	MA419 Search Games (0.5) (withdrawn 2019/20)
	MA420 Quantifying Risk and Modelling Alternative Markets (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) ^# (not available 2019/20)
	MA431 Advanced Topics in Operational Research and Applicable Mathematics (0.5) (not available 2019/20)
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) ^#
	FM430 Corporate Finance and Asset Markets (1.0) ^#
	FM441 Derivatives (0.5) ^#
	FM442 Quantitative Methods for Finance and Risk Analysis (0.5) ^# ^B
	GV4A3 Social Choice Theory and Democracy (0.5) ^# (not available 2019/20)
	MG409 Auctions and Game Theory (0.5) ^#
	MG4C1 Techniques of Operational Research (0.5) (withdrawn 2017/18)
	MG4C5 Computer Modelling: Applied Statistics and Simulation (0.5) ^# (withdrawn 2017/18)
	MG4C8 Model Building in Mathematical Programming (0.5) ^# (withdrawn 2017/18)
	ST409 Stochastic Processes (0.5) ^#
	ST418 Non-Linear Dynamics and the Analysis of Real Time Series (0.5) ^#
	ST422 Time Series (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 Game Theory I (0.5) ^#
MA408 Discrete Mathematics and Graph Theory (0.5) ^# (not available 2019/20)
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 2019/20)
MA413 Games of Incomplete Information (0.5) ^#
MA414 Stochastic Analysis (0.5) ^#
MA418 Preferences, Optimal Portfolio Choice, and Equilibrium (0.5) ^# (not available 2019/20)
MA419 Search Games (0.5) (withdrawn 2019/20)
MA420 Quantifying Risk and Modelling Alternative Markets (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) ^# (not available 2019/20)
MA431 Advanced Topics in Operational Research and Applicable Mathematics (0.5) (not available 2019/20)

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 : 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.