The MSc Data Science at Liverpool John Moores University (LJMU) provides a one-year full-time or two-year part-time option for graduates looking to develop in-demand skills in data analysis, machine learning, and large-scale data computing. The course uses industry tools and real-world data to equip students with both technical and research capabilities, including an extended project.
Curriculum Structure:
You’ll take core modules like Introduction to Data Analytics, Statistical Methods in R, Big Data Computing, Research Methods in Data Science, Machine Learning & Data Mining, and Efficient Algorithms for Complex Data Sets. These build your foundation in data wrangling, statistical inference and visualisation, understanding and working with large datasets, plus algorithmic methods suited for efficiency.
Focus areas
“Data Analytics; Statistical Computing; Big Data Methods; Machine Learning & Data Mining; Efficient Algorithms; Research Project”
Learning outcomes
“Ability to clean, manage, visualise large datasets; apply statistical inference and ML techniques; develop efficient algorithms; handle research-led or industrial data projects; understand ethical and legal context”
Professional alignment (accreditation):
The curriculum is aligned with industry standards and employer needs, making extensive use of real data, used tools in labs, and offering optional work-based project experiences.
Reputation (employability rankings):
LJMU reports ~ 94-96% of postgraduates in work or further study shortly after graduation.
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 at Liverpool John Moores University are equipped for roles such as Software System Analyst, IT Project Manager, E-commerce Application Developer, and Cyber Security Analyst, with expertise in both technical development and IT management. The program emphasizes research-led learning and practical innovation for strong professional outcomes:
LJMU’s Careers Team provides personal guidance, industry networking, work placements, and support for job applications, ensuring readiness for IT roles.
94% of postgraduates find work or further study within 15 months of graduation; salaries typically range from £27,000 to £45,000 per year based on sector and experience.
The course leverages industry links with employers such as BT, Marconi Communications, Unilever, and IBM, exposing students to real-world projects and professional mentoring.
Accredited by BCS, the Chartered Institute for IT, supporting progression to Chartered IT Professional status and long-term industry recognition.
Graduates excel in technical development, project management, and digital leadership, moving into high-impact tech careers.
Further Academic Progression:
Students can advance to a PhD in Computing, Information Systems, or related areas, as well as pursue advanced research roles and professional certifications for further specialization



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