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  • DeadlineStudy Details: 3 years part time. 12-18 months full time, depending on start date.

Masters Degree Description

Become a skilled data professional, turning complex data into decisions that make a real impact.

Skilled data scientists are in high demand across every sector. From health and finance to government, technology and beyond, data is driving decisions everywhere. Our accredited Master’s degree in Data Science prepares you to meet that demand through a hands-on, professionally relevant education grounded in real-world challenges and cutting-edge research.

Through an interdisciplinary curriculum and project-based learning, you’ll work with real datasets and industry scenarios to gain both the theoretical knowledge and practical skills employers are seeking. You’ll learn to design and manage data science systems, apply advanced software to analyse and synthesise information, and approach complex data challenges with confidence.

Entry Requirements

Applicants should meet one of the following:

Possess, or expect to obtain, an undergraduate degree or equivalent, in a relevant area e.g., Computing or Information Systems with a minimum of 2:2 classification.
Hold a suitable professional qualification from an appropriate professional body.

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Fees

For fees and funding options, please visit website to find out more.

Programme Funding

A range of bursaries, scholarships, loans and grants are available. Please visit website to find out more.

Student Destinations

The specialist knowledge you will acquire through the course will place you in a strong position to pursue a wide range of careers involving the analysis of data, including data analyst, data scientist, IT consultant and managerial roles in industry. The programme also gives you a range of computing skills that could be widely applied to any role within the fields of business and computing.

Module Details

Compulsory modules:

Big Data for Enterprise (20 credits)
Big Data Technologies (20 credits)
Geospatial Analysis (20 credits)
Programming for Data Analysis (20 credits)
Research & Professional Practice (20 credits)
Data Analytics & Visualisation (20 credits)
Technology Dissertation (40 credits)
Information Security (20 credits)

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