Year 1, Academic year 2016/17, Starting month: September
Notes: This DPT represents the part-time version of the full programme comprising 85 credits of compulsory courses; 35 credits of optional courses; and a dissertation worth 60 credits. In order to balance your workload, you are strongly recommended to take 60 credits of taught courses in each year. You must discuss your course selection with the Programme Director / Personal Tutor during induction week.
You must not take more than 30 credits at Level 10 during this programme.
COMPULSORY COURSES
This DPT has 3
compulsory course(s).
Code |
Course Name |
Period |
Credits |
MATH10065
|
Fundamentals of Operational Research |
Semester 1 |
10 |
|
MATH11086
|
Statistical Regression Models |
Semester 1 |
10 |
|
MATH11029
|
Stochastic Modelling |
Semester 2 |
10 |
|
COURSE OPTIONS
This DPT has 4
set(s) of course options with the following rules.
Overarching rule collection group: A
Select a minimum of 10 credits and a maximum of 50 credits
from these collections:
Select
a minimum of 0 credits and maximum of 50 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
MATH11111
|
Fundamentals of Optimization
|
10
|
MATH11007
|
Methodology, Modelling and Consulting Skills
|
10
|
MATH11028
|
Simulation
|
10
|
MATH11117
|
Computing for Statistics
|
5
|
MATH11121
|
Likelihood and Generalized Linear Models
|
10
|
Notes: These courses are compulsory for this programme and must be taken in either your first or second year.
AND
Select
a minimum of 0 credits and maximum of 10 credits
from the following list of courses, during Semester 1
Notes: You must take Statistical Theory AND/OR Bayesian Theory in your first or second year.
AND
Select
a minimum of 0 credits and maximum of 30 credits
from the following list of courses, during Semester 1
Code |
Course Name |
Credits |
MATH11128
|
Computing for Operational Research and Finance
|
10
|
MATH11176
|
Statistical Programming
|
10
|
MATH10092
|
Statistical Consultancy
|
10
|
MATH11177
|
Bayesian Theory
|
10
|
MATH11085
|
Statistical Theory
|
10
|
INFR11130
|
Machine Learning and Pattern Recognition
|
20
|
Notes: SEMESTER 1 Optional Courses - please confirm delivery period using the course links. A total of 35 credits of optional courses must be taken over the two years of this programme.
AND
Select
a minimum of 0 credits and maximum of 35 credits
from the following list of courses, during Semester 2
Code |
Course Name |
Credits |
MATH11030
|
Combinatorial Optimization
|
5
|
MATH11148
|
Credit Scoring
|
10
|
PUHR11013
|
Genetic Epidemiology
|
10
|
MATH11146
|
Modern Optimization Methods for Big Data Problems
|
10
|
MATH10064
|
Multivariate Data Analysis
|
10
|
MATH10052
|
Nonparametric Regression
|
10
|
MATH11041
|
Operational Research in Telecommunications
|
5
|
MATH11009
|
Risk Analysis
|
5
|
MATH11010
|
Stochastic Optimization
|
5
|
MATH11024
|
The Analysis of Survival Data
|
10
|
MATH11073
|
Time Series Analysis and Forecasting
|
5
|
MATH11147
|
Large Scale Optimization for Data Science
|
10
|
MATH11074
|
Operational Research in the Energy Industry
|
5
|
PGSP11424
|
Multi-Level Modelling in Social Science
|
20
|
MATH11175
|
Bayesian Data Analysis
|
10
|
MATH11174
|
Biomedical Data Science
|
10
|
MATH11182
|
Operational Research in Logistics
|
5
|
MATH11183
|
Topics in Applied Operational Research
|
10
|
Notes: SEMESTER 2 Optional courses - please confirm delivery period using the course links. A total of 35 credits of optional courses must be taken over the two years of this programme.
|
Year 2, Academic year 2016/17, Starting month: September
Notes: This DPT represents the part-time version of the full programme comprising 85 credits of compulsory courses; 35 credits of optional courses; and a dissertation worth 60 credits. In order to balance your workload, you are strongly recommended to take 60 credits of taught courses in each year. You must discuss your course selection with the Programme Director / Personal Tutor during induction week.
You must not take more than 30 credits at Level 10 during this programme.
COMPULSORY COURSES
This DPT has 1
compulsory course(s).
Code |
Course Name |
Period |
Credits |
MATH11119
|
Dissertation (Stats. Op. Res.) |
Block 5 (Sem 2) and beyond |
60 |
|
COURSE OPTIONS
This DPT has 4
set(s) of course options with the following rules.
Overarching rule collection group: A
Select a minimum of 40 credits and a maximum of 80 credits
from these collections:
Select
a minimum of 0 credits and maximum of 10 credits
from the following list of courses, during Semester 1
Notes: You must take Statistical Theory AND/OR Bayesian Theory in your first or second year.
Select
a minimum of 0 credits and maximum of 55 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
MATH11111
|
Fundamentals of Optimization
|
10
|
MATH11007
|
Methodology, Modelling and Consulting Skills
|
10
|
MATH11028
|
Simulation
|
10
|
MATH11117
|
Computing for Statistics
|
5
|
MATH11121
|
Likelihood and Generalized Linear Models
|
10
|
Notes: These courses are compulsory, please select those you did not take in Year 1.
AND
Select
a minimum of 0 credits and maximum of 30 credits
from the following list of courses, during Semester 1
Code |
Course Name |
Credits |
MATH11128
|
Computing for Operational Research and Finance
|
10
|
MATH11176
|
Statistical Programming
|
10
|
MATH10092
|
Statistical Consultancy
|
10
|
MATH11177
|
Bayesian Theory
|
10
|
MATH11085
|
Statistical Theory
|
10
|
INFR11130
|
Machine Learning and Pattern Recognition
|
20
|
Notes: SEMESTER 1 Optional Courses - please confirm delivery period using the course links. A total of 35 credits of optional courses must be taken over the two years of this programme.
AND
Select
a minimum of 0 credits and maximum of 35 credits
from the following list of courses, during Semester 2
Code |
Course Name |
Credits |
MATH11030
|
Combinatorial Optimization
|
5
|
MATH11148
|
Credit Scoring
|
10
|
PUHR11013
|
Genetic Epidemiology
|
10
|
MATH11146
|
Modern Optimization Methods for Big Data Problems
|
10
|
MATH10064
|
Multivariate Data Analysis
|
10
|
MATH10052
|
Nonparametric Regression
|
10
|
MATH11041
|
Operational Research in Telecommunications
|
5
|
MATH11009
|
Risk Analysis
|
5
|
MATH11010
|
Stochastic Optimization
|
5
|
MATH11024
|
The Analysis of Survival Data
|
10
|
MATH11073
|
Time Series Analysis and Forecasting
|
5
|
MATH11147
|
Large Scale Optimization for Data Science
|
10
|
MATH11074
|
Operational Research in the Energy Industry
|
5
|
PGSP11424
|
Multi-Level Modelling in Social Science
|
20
|
MATH11175
|
Bayesian Data Analysis
|
10
|
MATH11174
|
Biomedical Data Science
|
10
|
MATH11182
|
Operational Research in Logistics
|
5
|
MATH11183
|
Topics in Applied Operational Research
|
10
|
Notes: SEMESTER 2 Optional courses - please confirm delivery period using the course links. A total of 35 credits of optional courses must be taken over the two years of this programme.
|
|