11336 modules
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MATH6183 2030-31
Data Mining and Analytics
The module provides an introduction to data analytics and data mining. It will combine practical work using R and SQL with an introduction to some of the theory behind standard data mining techniques. -
MATH6183 2025-26
Data Mining and Analytics
The module provides an introduction to data analytics and data mining. It will combine practical work using R and SQL with an introduction to some of the theory behind standard data mining techniques. -
MATH6183 2029-30
Data Mining and Analytics
The module provides an introduction to data analytics and data mining. It will combine practical work using R and SQL with an introduction to some of the theory behind standard data mining techniques. -
MANG3056 2028-29
Data Mining for Marketing
Companies nowadays have collected a large volume of data from various sources. This module aims to introduce the key concepts of using ‘Big Data’ to improve marketing activities. Specifically, it focuses of the use of data mining techniques to manage customer relationships. Relevant marketing issues such as customer surveys, profiling/segmentation, communications, campaign measurement, satisfaction, loyalty, profitability, social media and other current topics will be discussed with regard to how data mining and analytical approaches can be used to improve marketing decision making. In this module, students will get hands-on experience and will be introduced to software commonly used in marketing departments and organisations. Thus, this module seeks to equip students with key skills needed to manage real marketing decisions based on marketing data. -
MANG3056 2027-28
Data Mining for Marketing
Companies nowadays have collected a large volume of data from various sources. This module aims to introduce the key concepts of using ‘Big Data’ to improve marketing activities. Specifically, it focuses of the use of data mining techniques to manage customer relationships. Relevant marketing issues such as customer surveys, profiling/segmentation, communications, campaign measurement, satisfaction, loyalty, profitability, social media and other current topics will be discussed with regard to how data mining and analytical approaches can be used to improve marketing decision making. In this module, students will get hands-on experience and will be introduced to software commonly used in marketing departments and organisations. Thus, this module seeks to equip students with key skills needed to manage real marketing decisions based on marketing data. -
SESA1018 2027-28
Data Science & Computational Methods
“The purpose of computing is insight, not numbers” (Hamming, 1962). Data science is all about gaining insight from the large amounts of data we are surrounded by.
In our digital world, engineers need to be able to use a range of tools, technologies and platforms to make sense of data and tackle complex engineering problems.
In this module you will
- Become confident in using a whole range of data science techniques
- Enhance your digital skills
- Learn about how, where and when to use a range of important computational tools, technologies and platforms
This module will help become proficient in the digital skills you need for everyday and engineering tasks throughout your degree and beyond. -
SESA1018 2026-27
Data Science & Computational Methods
“The purpose of computing is insight, not numbers” (Hamming, 1962). Data science is all about gaining insight from the large amounts of data we are surrounded by.
In our digital world, engineers need to be able to use a range of tools, technologies and platforms to make sense of data and tackle complex engineering problems.
In this module you will
- Become confident in using a whole range of data science techniques
- Enhance your digital skills
- Learn about how, where and when to use a range of important computational tools, technologies and platforms
This module will help become proficient in the digital skills you need for everyday and engineering tasks throughout your degree and beyond. -
SESA1018 2025-26
Data Science & Computational Methods
“The purpose of computing is insight, not numbers” (Hamming, 1962). Data science is all about gaining insight from the large amounts of data we are surrounded by.
In our digital world, engineers need to be able to use a range of tools, technologies and platforms to make sense of data and tackle complex engineering problems.
In this module you will
- Become confident in using a whole range of data science techniques
- Enhance your digital skills
- Learn about how, where and when to use a range of important computational tools, technologies and platforms
This module will help become proficient in the digital skills you need for everyday and engineering tasks throughout your degree and beyond. -
FEEG1203 2027-28
Data Science and Computing for Engineers
Computing and data are transforming every area of engineering, from designing smarter products and analysing complex systems to developing artificial intelligence and digital twins. This module introduces the computational and programming skills that underpin modern engineering practice.
You will learn how to write programs, analyse and visualise data, and apply computational methods to solve engineering problems efficiently and accurately. As you build your coding and analytical skills, you will gain experience of using programming as a practical engineering tool to support modelling, decision-making and evidence-based design.
By the end of the module, you will have the confidence to develop computational solutions to engineering problems and interpret engineering data effectively, providing an essential skill set that you will build upon throughout your degree and in your future engineering career. -
FEEG1203 2025-26
Data Science and Computing for Engineers
This module will help you become proficient in data analysis and computational methods with coding that you will need for solving engineering challenges throughout your degree and beyond.