Course Overview

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 analyze 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.

• Develop familiarity with mathematical, statistical, and computational data modeling techniques.

• Build your software expertise, including the widely used Python and R languages.

• Gain experience in communicating and critically commenting on data analysis results.

• Increase your employability – data scientists are highly sought after in many sectors.

General Eligibility

There is no formal pre-requisite study, but you must have the required mathematical skills to study the compulsory module Essential Mathematics 1 (MST124), including:

• algebraic manipulation and solving equations

• quadratics and parabolas

• geometry and trigonometry

• exponentials and logarithms.

Part Time Work Details

In a distance learning course, there are typically no strict regulations regarding part-time employment, providing students with the flexibility to pursue work opportunities while studying remotely. This autonomy allows individuals to manage their schedules and balance professional commitments with their educational pursuits.

Language Requirement

• This subject has no language prerequisite.