Data plays a vital role in every private and public sector enterprise: understanding how to use data to inform decision-making has never been more critical. This degree equips you with the skills to explore and analyse complex data sets. And to solve practical problems using applied mathematics, statistics and computing. You’ll gain a good grounding in mathematical and statistical methods, which provide the foundation for data analysis. Additionally, you’ll learn relevant computing skills, including machine learning and artificial intelligence elements, and gain experience using sta...
Data plays a vital role in every private and public sector enterprise: understanding how to use data to inform decision-making has never been more critical. This degree equips you with the skills to explore and analyse complex data sets. And to solve practical problems using applied mathematics, statistics and computing. You’ll gain a good grounding in mathematical and statistical methods, which provide the foundation for data analysis. Additionally, you’ll learn relevant computing skills, including machine learning and artificial intelligence elements, and gain experience using statistical software. In a world increasingly turning to data for decision-making, there’s a high demand for data scientists in various sectors, including commerce, finance, health and information technology.<br/><br/>**Key features of the course**<br/>- Develop familiarity with mathematical, statistical and computational data modelling techniques<br/><br/><br/>- Build your software expertise, including in the widely used Python and R languages<br/><br/><br/>- Gain experience in communicating and critically commenting on data analysis results<br/><br/><br/>- Increase your employability – data scientists are highly sought after in many sectors<br/>
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Course Details
Information
Study Mode
Distance-online
Duration
Unknown
Start Date
10/2025
Campus
Distance Learning
Application deadline
Provider Details
Codes/info
Course Code
null
Institution Code
O11
Points of Entry
Year 1
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