MSc Data Science

This programme focuses on applying advanced computing principles through practical project work in the University's modern computing facilities. You will develop professional skills using industry-standard software and development tools, working on real-world computing challenges. This hands-on approach is delivered through:

• Specialist Computing Laboratories: Access to UCLan's computing labs with high-specification workstations for software development, systems analysis, and project work.

• Industry-Standard Software: Practical work with programming languages including Java, Python, and C#, plus database systems like Oracle and development environments such as Visual Studio.

• Substantial Individual Project: A major final project where you apply your skills to a substantial computing challenge, developing a sophisticated software solution.

• Project-Based Learning: Collaborative group work and practical assignments that simulate professional software development environments.

Graduates of the MSc Data Science at the University of Central Lancashire gain advanced skills in machine learning, big data, and data visualization, preparing them for roles such as Data Scientist, Machine Learning Engineer, Data Analyst, and Business Intelligence Analyst. The program combines theoretical knowledge with practical application, making graduates highly employable in diverse industries.​

• UCLan offers career support including personalized job search advice, CV workshops, mock interviews, and access to an optional paid industry placement to gain hands-on experience.​

• Over 90% of graduates find employment or further study within 15 months, with typical salary ranges from £28,000 to £45,000 depending on role and experience.​

• The university maintains industry partnerships and integrates real-world projects and guest lectures to ensure students receive up-to-date, practical training.​

• Accredited by the Institution of Engineering and Technology (IET), supporting further learning qualifications towards Chartered Engineer registration for career advancement.​

• Graduates demonstrate expertise in statistical analysis, data mining, and machine learning, equipped to make data-driven decisions in business, healthcare, finance, and technology sectors.​

Further Academic Progression:
Graduates may pursue PhD research in Data Science or related fields, advanced certifications, or postdoctoral positions to deepen knowledge and boost career prospects.