Enter OTP
This one-year full-time master’s (with options for a placement year or advanced research route) is for students who want strong quantitative, technical, and practical training in data science. Students learn how to gather, clean, model, and analyse data, using machine learning and neural networks, and then apply those skills in a major project.
Curriculum Structure:
Year 1 (Taught + Core Modules):
You’ll study Foundations of Data Science, Data Mining, Neural Networks and Machine Learning, Applied Data Science and Analytics, Responsible Technology, and a Team Research & Development Project. These modules build from mathematical/statistical foundations, through algorithmic and modelling skills, to handling ethics, tools/workflows, and teamwork.
Final Phase (Project / Placement if chosen):
Then comes the Masters Project (60 credits), where you apply your learning in a self-driven research or industry problem. If you took the placement year route, you gain an extra year of workplace experience before your project-phase.
Focus areas
“Data Mining; Machine Learning & Neural Networks; Applied Analytics; Foundations of Data Science; Responsible Technology; Project & Placement”
Learning outcomes
“Acquire ability in statistical foundations and programming; preprocess, model & analyse data; use ML/NN methods; understand ethical/legal and social implications; deliver independent project or work placement”
Professional alignment (accreditation):
Accredited by BCS (British Computer Society), enabling partial fulfilment of Chartered IT Professional status. Placement option adds valuable industry experience.
Reputation (employability rankings):
The Computer Science department had 90% of its research rated “world-leading or internationally excellent” in REF 2021.
This programme focuses on applying modern computing principles to business and information systems challenges. You'll develop practical skills using the University's specialist computing facilities and industry-relevant software, preparing you for professional IT roles. This hands-on approach is delivered through:
Specialist Computing Laboratories: Access to LJMU's modern computing labs with high-specification workstations for systems development, database management, and network projects.
Industry-Standard Software: Practical work with enterprise systems, database platforms like Oracle and SQL Server, and development tools including Visual Studio and programming languages such as Java and Python.
Substantial Individual Project: A major final project where you apply your skills to a substantial computing challenge, developing a sophisticated information systems solution.
Professional Development: Project-based learning that simulates real-world business IT environments, focusing on systems analysis, design, and implementation.
Graduates of the MSc Data Science and Analytics at the University of Hertfordshire are well-prepared for high-demand roles such as Software Engineer, Developer, Project Manager, and Data Analyst, with many working for leading organizations including IBM and Microsoft. The course blends technical depth, industry relevance, and work-based learning for strong career outcomes:
Hertfordshire’s Careers team provides job search guidance, CV support, and industry networking, while a one-year paid work placement option offers practical experience with partners like BT, Hewlett Packard, and Vodafone.
93% of postgraduates are employed or in further study within 15 months; salaries commonly range from £27,000 to £45,000 depending on specialization.
Accredited by the British Computer Society (BCS) and the Chartered Institute for IT, enabling graduates to work toward Chartered Engineer status and enhancing long-term value.
Graduates excel in advanced programming, AI, cybersecurity, and project management, contributing to tech innovation across sectors.
Further Academic Progression:
Graduates can continue to PhD research in Computer Science or related fields, or pursue specialist professional certifications and research roles for further advancement
The normal requirement is a good honours degree (or equivalent) in computer science or cognate discipline.USA- taught Completion of a 4 year bachelors degree with GPA 2.5 out of 4India- Completion of Bachelor degree in a relevant subject area with 55-65% or above depending on course.IELTS 6.0 or 6.5 with no less than 5.5 in any band Software ArchitectResearch ScientistDevOps EngineerSystems AnalystMachine Learning EngineerIT Consultant
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University of Hertfordshire
