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Please ensure that you register to a minimum of 25 credits from the option lists (A and B) below. If you are studying abroad (Erasmus/non EU exchange) and/or undertaking an internship, please see registration guidelines here.
Students who do not study abroad or take up an internship in Stage 3 must select MST30090 (list B).
Please ensure that you registered for 25 credits overall for stage 4.
Please note that you must take all three of the following modules during the course of your degree programme - STAT30010, STAT30270, and STAT40150. Please ensure that you register for any of these modules (list A) that you have not yet taken in stage 3. You may choose options from option list B to fulfill you credit requirement as required.
Module ID | Module Title | Trimester | Credits |
---|---|---|---|
MST10010 | Calculus I | Autumn | 5 |
MST10020 | Calculus II | Spring | 5 |
MST10030 | Linear Algebra I | Spring | 5 |
STAT10060 | Statistical Modelling | Spring | 5 |
STAT20200 | Probability | Autumn | 5 |
STAT20240 | Predictive Analytics | Autumn | 5 |
STAT20180 | Introduction to Bayesian Analysis | Spring | 5 |
STAT30280 | Inference for Data Analytics (online) | Spring | 5 |
Stage 3 Options - A)MIN4OF: Please ensure that you register to a minimum of 25 credits from option lists A and B below. If you are studying abroad (Erasmus/non EU exchange) and/or undertaking an internship, please see registration guidelines here. Students who do not study abroad or take up an internship in Stage 3 must select MST30090 (list B). |
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MST20070 | Multivariable Calculus with Applications | Autumn | 5 |
STAT30010 | Time Series | Autumn | 5 |
STAT30080 | Models - Survival Models | Autumn | 5 |
STAT30090 | Models - Stochastic Models | Autumn | 5 |
STAT30340 | Data Programming with R | Autumn | 5 |
STAT40110 | Design of Experiments | Autumn | 5 |
STAT40800 | Data Prog with Python (online) | Autumn | 5 |
STAT30250 | Advanced Predictive Analytics | Spring | 5 |
STAT30270 | Statistical Machine Learning | Spring | 5 |
STAT40080 | Nonparametric Statistics | Spring | 5 |
STAT40150 | Multivariate Analysis | Spring | 5 |
Stage 3 Options - A)MIN4OF: Please ensure that you register to a minimum of 25 credits from option lists A and B below. If you are studying abroad (Erasmus/non EU exchange) and/or undertaking an internship, please see registration guidelines here. Students who do not study abroad or take up an internship in Stage 3 must select MST30090 (list B). |
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MST30090 | Skills for Math Sciences | Spring | 5 |
STAT30330 | Statistics Research | Spring | 10 |
STAT30010 | Time Series | Autumn | 5 |
STAT30270 | Statistical Machine Learning | Spring | 5 |
STAT40150 | Multivariate Analysis | Spring | 5 |
MST20070 | Multivariable Calculus with Applications | Autumn | 5 |
STAT30080 | Models - Survival Models | Autumn | 5 |
STAT30090 | Models - Stochastic Models | Autumn | 5 |
STAT30340 | Data Programming with R | Autumn | 5 |
STAT40110 | Design of Experiments | Autumn | 5 |
STAT40800 | Data Prog with Python (online) | Autumn | 5 |
STAT30250 | Advanced Predictive Analytics | Spring | 5 |
STAT40080 | Nonparametric Statistics | Spring | 5 |
Award | GPA | ||||
---|---|---|---|---|---|
Programme | Module Weightings | Rule Description | Description | ||
BHSOC010 | Stage 4 - 50.00% Stage 3 - 30.00% Stage 2 - 20.00% |
Standard Honours Award | First Class Honours | 3.68 |
4.20 |
Second Class Honours, Grade 1 | 3.08 |
3.67 |
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Second Class Honours, Grade 2 | 2.48 |
3.07 |
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Pass | 2.00 |
2.47 |