GL11 BSc Economics and Mathematics, GN41 BSc Accounting and Mathematics
Semester 1 2017/18 (excluding GL11 students splitting ECO as 20 + 40)
Applied Mathematics Pathway
Set 121
MAS3801
MAS3802
Set 122
Methods for Differential Equations
Quantum Mechanics
10
10
Methods for Differential Equations
Relativity and Cosmology
10
10
MAS3801
MAS3803‡
Methods for Differential Equations
Advanced Fluid Dynamics
10
10
Linear Models
Bayesian Inference
10
10
Set 123
MAS3801
MAS3804
Statistics Pathway
Set 124
MAS3903
MAS3901
Set 125
Linear Models
Applied Probability
10
10
Linear Models
Stochastic Financial Modelling
10
10
Set 126
MAS3903
MAS3904
Note:
‡ The module MAS3801 is a co-requisite.
MAS3903
MAS3902
Semester 2 2017/18 (excluding GL11 students splitting ECO as 20 + 40)
Applied Mathematics Pathway
Set 131
MAS2902
MAS2903
MAS3806‡
Stochastic Modelling
An Introduction to Bayesian Methods
Partial Differential Equations and Nonlinear Waves
Set 132
10
10
10
Set 133
MAS3805‡
MAS3806‡
MAS3808#
Classical Fields
Partial Differential Equations and Nonlinear Waves
Instabilities
10
10
10
Differential Equations, Transforms and Waves
Fluid Dynamics
Experimental Design
10
10
10
MAS3805‡
MAS3806‡
MAS3809
Classical Fields
Partial Differential Equations and Nonlinear Waves
Variational Methods
10
10
10
Differential Equations, Transforms and Waves
Fluid Dynamics
Time Series
10
10
10
Generalized Linear Models
Experimental Design
Time Series
10
10
10
Set 136
10
10
10
Set 137
MAS3908*
MAS3909£
MAS3911*
Stochastic Modelling
An Introduction to Bayesian Methods
Variational Methods
Set 134
Statistics Pathway
Set 135
MAS2802
MAS2803
MAS3908*
MAS2902
MAS2903
MAS3809
MAS2802
MAS2803
MAS3911*
Set 138
Experimental Design
Markov Processes
Time Series
10
10
10
MAS3906€
MAS3908*
MAS3911*
Notes:
‡ The Semester 1 module MAS3801 is a co-requisite.
# The Semester 1 modules MAS3801 and MAS3803 are co-requisites.
* The Semester 1 module MAS3903 is a co-requisite.
£ The Semester 1 module MAS3901 is a co-requisite that is desirable rather than essential.
€ The Semester 1 module MAS3903 is a co-requisite, and in addition MAS3905 is a co-requisite that is desirable rather than essential.
When a module is labelled as a desirable (but not essential) co-requisite, it means that some of the module material might be more challenging to students
who have not taken the co-requisite module. Therefore students are recommended not to take a module without taking the desirable co-requisite unless
they feel comfortable in the subject area.
Note that students may normally switch modules in September to include MAS3905, provided it fits with their timetable.
Semester 1 2017/18 (only GL11 students splitting ECO as 20 + 40)
Applied Mathematics Pathway
Set 141
MAS3801
MAS3802
MAS3803‡
Set 142
Methods for Differential Equations
Quantum Mechanics
Advanced Fluid Dynamics
10
10
10
Methods for Differential Equations
Advanced Fluid Dynamics
Relativity and Cosmology
10
10
10
MAS3801
MAS3802
MAS3804
Methods for Differential Equations
Quantum Mechanics
Relativity and Cosmology
10
10
10
Linear Models
Applied Probability
Stochastic Financial Modelling
10
10
10
Set 143
MAS3801
MAS3803‡
MAS3804
Statistics Pathway
Set 144
MAS3903
MAS3901
MAS3902
Set 145
Linear Models
Applied Probability
Bayesian Inference
10
10
10
Linear Models
Bayesian Inference
Stochastic Financial Modelling
10
10
10
Set 146
MAS3903
MAS3902
MAS3904
Note:
‡ The module MAS3801 is a co-requisite.
MAS3903
MAS3901
MAS3904
Semester 2 2017/18 (only GL11 students splitting ECO as 20 + 40)
Applied Mathematics Pathway
Set 151
MAS2902
MAS2903
Set 152
Stochastic Modelling
An Introduction to Bayesian Methods
10
10
Classical Fields
Instabilities
10
10
Set 151
MAS3805‡
MAS3808#
Differential Equations, Transforms and Waves
Fluid Dynamics
10
10
MAS3806‡
MAS3809
Partial Differential Equations and Nonlinear Waves
Variational Methods
10
10
Experimental Design
Time Series
10
10
Generalized Linear Models
Markov Processes
10
10
Set 156
10
10
Set 157
MAS3909£
MAS3911*
Classical Fields
Partial Differential Equations and Nonlinear Waves
Set 152
Statistics Pathway
Set 155
MAS2802
MAS2803
MAS3805‡
MAS3806‡
MAS3908*
MAS3911*
Set 158
Markov Processes
Time Series
10
10
MAS3906€
MAS3909£
Notes:
‡ The Semester 1 module MAS3801 is a co-requisite.
# The Semester 1 modules MAS3801 and MAS3803 are co-requisites.
* The Semester 1 module MAS3903 is a co-requisite.
£ The Semester 1 module MAS3901 is a co-requisite that is desirable rather than essential.
€ The Semester 1 module MAS3903 is a co-requisite, and in addition MAS3905 is a co-requisite that is desirable rather than essential.
When a module is labelled as a desirable (but not essential) co-requisite, it means that some of the module material might be more challenging to students
who have not taken the co-requisite module. Therefore students are recommended not to take a module without taking the desirable co-requisite unless
they feel comfortable in the subject area.
Note that students may normally switch modules in September to include MAS3905, provided it fits with their timetable.