MSc Data Science

1 Years On Campus Masters Program

Leeds Beckett University

Program Overview

The MSc in Data Science at Leeds Beckett University develops strong practical skills in data management, analysis, machine learning and visualisation. It suits students with computing or related backgrounds who want to pursue roles in data science, analytics or business intelligence.

Curriculum Structure (Full-time, 1 Year)

Students begin with modules such as Database Systems & Approaches, Data Analytics & Visualisation, and Project Management, gaining foundations in database design, analytical methods and practical project planning.
They then progress to optional modules like Data Warehouse Models & Approaches, Intelligent Systems & Machine Learning, and Managing Information in the Digital & Global Environment, allowing specialisation in big-data systems, AI or information-management domains.
The year concludes with a Dissertation / Major Project, where students apply their technical and analytical skills to a complex real-world or research-based data problem.

Focus areas: “Database systems, analytics, visualisation, big-data warehousing, machine learning, intelligent systems, data-science project”

Learning outcomes: “Design and manage databases; analyse and visualise data; apply machine-learning methods; manage data-driven projects; deliver a complete data-science solution from data collection to insight”

Professional alignment: Designed to meet industry needs for data scientists, analysts, data engineers and BI specialists, combining technical and project-management competencies.

Reputation (employability rankings): Leeds Beckett is recognised for applied, industry-focused training, and graduates progress into sectors such as business intelligence, healthcare, consultancy, and public-sector analytics.

Experiential Learning (Research, Projects, Internships etc.)

The MSc Data Science at Leeds Beckett University provides practical, industry-relevant skills in data analysis, visualisation, and machine learning. Students apply statistical and computational techniques to real-world datasets using professional software in dedicated computing labs.

Key experiential components:

Software & Tools: Hands-on data analysis using Python (Pandas, scikit-learn), R, SQL, and business intelligence tools like Tableau or Power BI for data manipulation, modelling, and visualisation.
Computing Facilities: Access to Leeds Beckett's data science and computing labs, equipped with the necessary software and hardware for statistical computing, database management, and analytics projects.
Group Projects: Collaborative data analytics projects, often based on industry-style briefs, where student teams work through the full data lifecycle to derive and present actionable business insights.
Applied Professional Focus: The curriculum is designed for employability, with an emphasis on solving tangible business problems. The final individual project involves a substantial data investigation, often with the aim of building a professional portfolio piece.

Progression & Future Opportunities

Graduates of Leeds Beckett University's MSc Data Science secure roles as data scientists, data managers, business analysts, and data governance specialists across sectors like healthcare, finance, retail, education, and fraud prevention, equipped to bridge technical data systems with business strategy:

Careers Service offers CV workshops, interview coaching, placement support including optional work placements, and graduate development programmes for professional networking.
Strong employability with high graduate progression rates; competitive salaries reflecting demand for data skills (£35k+ UK start typical).
Industry collaborations through real-world projects, dissertation investigations, and modules on data applications in health/education/fraud.
Skills in ethical data governance, analytics, and project management support certifications for senior data leadership roles.
Excellent outcomes in data strategy, big data management, intelligent systems, or research across organisations.

Further Academic Progression: Graduates can pursue PhD in data science, analytics, or information systems at Leeds Beckett/other institutions, extending their dissertation on complex data issues or machine learning into advanced independent research.

Additional Information & Requirements

Students require a 2:2 or above in a computing related degree such as Computing, Computer Science, Business Information Technology or work experience of a similar level such as to evidence a significant understanding of technology, information systems and the role of data.

IELTS 6.5 with at least 6.0 in each element

TOEFL: Total of 79 to 89 Minimum for Reading (18), Listening (17), Speaking (20) and Writing (17)

USA : 4-year Bachelor's degree with minimum GPA of 2.5 or above

India- 2.5/5.0 GPA for 2:2 equivalent

China- Bachelor's degree with 60%

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