MSc in Data Science

About this programme

The MSc Data Science programme is designed to provide students with advanced expertise in analysing, managing, and interpreting large-scale data to solve real-world problems. The programme combines concepts from artificial intelligence, data analytics, statistics, database technologies, and computational methods to develop highly skilled data professionals.

Students will explore key areas including Artificial Intelligence, Data Mining and Informatics, Data Science, Data Visualisation, Database Systems and Security, Network Analysis and Optimisation, Statistics for Data Science, Research Methods, and the MSc Data Science Project.

Through practical learning, research activities, and industry-focused applications, students will develop the ability to collect, process, analyse, and communicate complex datasets effectively. The programme emphasises analytical thinking, technical problem-solving, and the application of modern data technologies to support strategic decision-making.

The MSc Project enables students to conduct independent research in a specialised data science area, applying appropriate methodologies to investigate challenges and develop innovative solutions.

Graduates will gain the expertise required to work in data-driven environments across sectors including technology, finance, healthcare, telecommunications, business intelligence, and research

What you will learn

1. Apply Artificial Intelligence Concepts and Technologies

Students will understand artificial intelligence principles, intelligent systems, and emerging AI technologies. They will evaluate how AI can be applied to solve complex problems and improve decision-making processes.

2. Analyse and Extract Knowledge from Large Data Sets

Students will develop skills in data mining, information extraction, and analytical techniques to discover meaningful patterns, trends, and insights from complex datasets.

3. Apply Data Science Methodologies

Students will understand the complete data science lifecycle, including data collection, processing, analysis, modelling, evaluation, and interpretation for real-world applications.

4. Develop Effective Data Visualisation Solutions

Students will learn how to present complex information using appropriate visualisation techniques and tools to communicate analytical findings clearly to technical and non-technical audiences.

5. Manage Secure Database Systems

Students will develop knowledge of database design, management, optimisation, and security practices required to protect and manage organisational data assets.

6. Analyse and Optimise Complex Networks

Students will explore network analysis techniques and optimisation approaches to evaluate relationships, improve performance, and solve complex system challenges.

7. Apply Statistical Methods for Data Analysis

Students will develop statistical knowledge required for data interpretation, predictive analysis, modelling, and evidence-based decision-making.

8. Conduct Independent Data Science Research

Students will develop advanced research skills by investigating specialised data science topics, applying appropriate methodologies, analysing results, and presenting professional conclusions.

Entry requirements

A recognised Bachelor’s degree (minimum UK Lower Second Class Honours degree / 2:2 or equivalent) in any discipline.
Applicants should normally have a basic mathematical background, such as GCSE Grade 4 Mathematics or equivalent.
Applicants with relevant professional experience in data analytics, computing, IT, business intelligence, or related areas may also be considered through an assessment process

Where it leads

Data Scientist
Data Analyst
Business Intelligence Analyst
Machine Learning Engineer
Artificial Intelligence Specialist
Data Engineer
Database Analyst
Data Consultant
Big Data Analyst
Research Data Analyst
Data Visualisation Specialist
Analytics Consultant
Business Analytics Specialist
AI Solutions Engineer
Research and Development Specialist

Progression

Successful completion of the MSc Data Science provides graduates with opportunities to progress into advanced professional and academic pathways.

Graduates may continue towards:

PhD in Data Science
PhD in Artificial Intelligence
PhD in Computer Science
Research-based postgraduate programmes
Advanced professional certifications in AI, Cloud Computing, Data Analytics, and Machine Learning

The qualification also supports professional development through certifications such as:

Microsoft Azure AI & Data Certifications
AWS Data Analytics Certifications
Google Data Analytics Certifications
Professional Machine Learning Certifications