MSc Computing Project (Final Module)

The MSc Computing Project module provides a systematic method for planning, executing, writing, and defending a dissertation for a research project on a selected topic of interest.

Machine Learning (Module 5)

The Machine Learning module introduces machine learning with a practical approach, providing hands-on cases of real-world data analytics.

Research Methods and Professional Practice (Module 6)

The Research Methods and Professional Practice module provides a practical foundation in research methods that enables research in practical settings.

Deciphering Big Data (Module 3)

The Deciphering Big Data module introduces the underpinning concepts and skills of data wrangling, with an emphasis on big data.

Visualising Data (Module 4)

The Visualising Data module introduces the underpinning concepts for processing and analysing datasets. It also provides data visualisation and presentation skills essential for a data scientist while improving decision making using data.

An image illustrating a Masters module called The data professional

The Data Professional (Module 1)

The Data Professional module explores and investigates the critical theoretical concepts in the discipline of data science, starting from data collection and then gradually leading to the stage where data is transformed into knowledge to support business decisions.

An image illustrating a Masters module called Numerical Analysis

Numerical Analysis (Module 2)

The Numerical Analysis module introduces key aspects of mathematics and statistics for data science and artificial intelligence.