MA32024: Statistical modelling and data analytics 3B
[Page last updated: 22 May 2025]
| Academic Year: | 2025/26 |
| Owning Department/School: | Department of Mathematical Sciences |
| Credits: | 10 [equivalent to 20 CATS credits] |
| Notional Study Hours: | 200 |
| Level: | Honours (FHEQ level 6) |
| Period: |
- Semester 2
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| Assessment Summary: | CWRI 25%, EXCB 75% |
| Assessment Detail: |
- Report individual (CWRI 25%)
- Closed-book written examination (EXCB 75%)
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| Supplementary Assessment: |
- Like-for-like reassessment (where allowed by programme regulations)
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| Requisites: |
Before or while taking this module you must take MA32022
In taking this module you cannot take MA30085
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| Learning Outcomes: |
By the end of the module you will be able to:
- identify a suitable time series model, fit this model to the data and forecast future values
- apply the multivariate normal distribution in data analysis
- apply graphical models to describe spatial and other types of data
- present results in a suitable style
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| Synopsis: | You will learn about models for data with complex structures such as time series, spatial data, and linear models with random effects. You will develop skills in data analysis through case studies involving these types of data.
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| Content: | Probability models for time series
Estimating the autocorrelation function and fitting ARIMA models.
Forecasting: Exponential smoothing, forecasting from ARIMA models.
Conditional independence properties of the multivariate normal distribution
Graphical representations of multivariate data
Multivariate models with special structure such as Gaussian random fields and spatial models.
Gaussian random fields; Markov random fields
Analysis of spatial data and other structured data sets
Application of the above methods to a variety of real-life statistical problems.
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| Course availability: |
MA32024 is Compulsory on the following courses:
Department of Mathematical Sciences
- USMA-AFB32 : BSc(Hons) Mathematics and Statistics (Year 3)
- USMA-AAB02 : BSc(Hons) Mathematics and Statistics with Study year abroad (Year 4)
- USMA-AKB02 : BSc(Hons) Mathematics and Statistics with Year long work placement (Year 4)
- USMA-AFB33 : BSc(Hons) Mathematics, Statistics and Data Science (Year 3)
- USMA-AAB20 : BSc(Hons) Mathematics, Statistics, and Data Science with Study year abroad (Year 4)
- USMA-AKB20 : BSc(Hons) Mathematics, Statistics, and Data Science with Industrial Placement (Year 4)
MA32024 is Optional on the following courses:
Department of Computer Science
- USCM-AFB32 : BSc(Hons) Computer Science and Mathematics (Year 3)
- USCM-AAB20 : BSc(Hons) Computer Science and Mathematics with Study year abroad (Year 4)
- USCM-AKB20 : BSc(Hons) Computer Science and Mathematics with Year long work placement (Year 4)
- USCM-AFM32 : MComp(Hons) Computer Science and Mathematics (Year 3)
- USCM-AKM32 : MComp(Hons) Computer Science and Mathematics with professional placement (Year 3)
- USCM-AKM32 : MComp(Hons) Computer Science and Mathematics with study abroad (Year 3)
Department of Economics
- UHES-AFB12 : BSc(Hons) Economics and Mathematics (Year 3)
- UHES-AAB04 : BSc(Hons) Economics and Mathematics with Study year abroad (Year 4)
- UHES-AKB04 : BSc(Hons) Economics and Mathematics with Year long work placement (Year 4)
- UHES-ACB04 : BSc(Hons) Economics and Mathematics with Combined Placement and Study Abroad (Year 4)
Department of Mathematical Sciences
- USMA-AAB16 : BSc(Hons) Mathematical Sciences with Study year abroad (Year 4)
- USMA-AKB16 : BSc(Hons) Mathematical Sciences with Year long work placement (Year 4)
- USMA-AFB30 : BSc(Hons) Mathematics (Year 3)
- USMA-AAB14 : BSc(Hons) Mathematics with Study year abroad (Year 4)
- USMA-AKB14 : BSc(Hons) Mathematics with Year long work placement (Year 4)
- USMA-AFM30 : MMath(Hons) Mathematics (Year 3)
- USMA-AKM15 : MMath(Hons) Mathematics with Year long work placement (Year 4)
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Notes: - This unit catalogue is applicable for the 2025/26 academic year only. Students continuing their studies into 2026/27 and beyond should not assume that this unit will be available in future years in the format displayed here for 2025/26.
- 好色tv and units are subject to change in accordance with normal University procedures.
- Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
- Find out more about these and other important University terms and conditions here.
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