MSc Data Science

Are you ready to launch or accelerate your career in data science and AI? The demand for qualified data scientists far exceeds the current supply, and the industry faces a significant global skills gap. Our online MSc Data Science programme is designed to bridge this gap by providing you with the relevant practical skills and expertise needed to excel in data-related roles, giving you a pathway to establishing a fulfilling and potentially lucrative career.

What you'll learn

Our data science degree covers everything from fundamental mathematical concepts to advanced topics like artificial intelligence, machine learning, deep learning, and cloud computing. You'll master essential tools and programming languages such as Python, in addition to gaining proficiency in software tools like Jupyter Notebooks and Tableau.

You’ll also tackle real-world scenarios through our programme's individual modules. Whether you're exploring the ethical and legal constraints of data science or delving into the intricacies of machine learning and deep learning, you'll be immersed in practical applications. Our "Learn by Doing" philosophy ensures you can apply your knowledge to make meaningful business decisions using real data sets.

Course Modules

• Programming for Data Science (20 credits)
• Mathematics for Data Science (20 credits)
• Big Data and Cloud Computing (20 credits)
• Machine Learning (20 credits)
• Artificial Intelligence and Neural Networks (20 credits)
• Data Visualisation (20 credits)
• Advanced Computing Project (60 credits)

Your MSc Data Science journey culminates in the Data Science Research Project, where you’ll solve real-world data science issues through research, design, and implementation. With guidance from a supervisor in your chosen area, you'll emerge not only with a degree but also equipped with practical, industry-ready knowledge to showcase to prospective employers.

Career Pathways: Upon completing your degree, you can enter diverse career paths, including:

• Data Analyst: Dive into the world of data analysis, where you'll explore data sets, derive insights, and support data-driven decision-making.
• Machine Learning Engineer: Take on roles that involve building and deploying machine learning models to solve complex problems.
• Artificial Intelligence Specialist: Lead projects focused on creating AI-powered solutions, from chatbots to autonomous vehicles.
• Data Scientist: Utilise your expertise to uncover hidden patterns, trends, and insights, driving business strategies and innovation.

Standard entry requirements: 

• A 2.2 Honours degree in a numerate subject where many of the modules were mathematics-based. Examples include, but are not limited to maths, finance, computing, science, and engineering.
• Or an equivalent 2.2 Honours degree with 18 months of relevant computing work experience.

Typical non-standard entry requirements: 

• A minimum of 3 years of relevant work experience with reference and evidence.
• Your work experience should be in a data-based role, for example, finance, engineering, science, data analysis, etc. You will need to have worked with maths and/or data analysis in your current role to be eligible.