MSc Data Science

1 Year On Campus Masters Program

Loughborough University

Program Overview

The MSc Data Science at Loughborough University is a conversion programme designed for graduates from diverse academic backgrounds aiming to upskill for careers in data science, data analysis, data management, and data stewardship.

Developed in collaboration with industry partners, the course integrates problem-based learning and covers both technical and business aspects, including data governance, ethics, design thinking, and innovation.

Teaching combines lectures, tutorials, workshops, practical sessions, group work, and online materials.

  • Students benefit from 24-hour access to computer labs, including specialist AI and machine learning facilities. 
  • Ranked Top 20 in the UK for Computer Science (Times and Sunday Times Good University Guide 2025; Complete University Guide 2025)

  • 100% of Computer Science research impact rated 'world-leading' or 'internationally excellent' (REF 2021)

  • Developed in collaboration with industry partners with a problem-based learning approach

Course Overview

  • Core Modules:

    • Data Governance and Ethics 

    • Programming for Data Science

    • Introduction to Data Science 

    • Research Methods 

    • Data Mining 

    • Data Science Project 

  • Optional Modules:

    • Statistical Methods and Data Analysis 

    • Building Data Driven Strategy 

    • Big Data Analytics and Visualisation 

    • Stories as Data: Storytelling approaches for decision making 

    • Al and Applied Machine Learning 

Experiential Learning (Research, Projects, Internships etc.)

  • 24-hour access to computer labs and dedicated MSc laboratory

  • Collaborative projects with industry partners

  • Problem-based learning in real-world contexts

  • Use of visualisation tools such as Tableau, Power BI, and Google Data Studio

  • Access to a £5 million refurbished building with advanced resources

  • Guest lectures from industry experts

  • Support from a research-active academic community

  • Networking events and career workshops

  • Access to the university’s extensive library and digital resources

Progression & Future Opportunities

  • Graduate employment: Graduates are well-prepared for roles in analytics engineering, big data engineering, business intelligence, data stewardship, and data management. Typical roles include Data Scientist, Data Analyst, Analytics Engineer, Big Data Engineer, Business Intelligence Analyst, Data Architect, Data Manager, and more

  • Industry links and facilities: Developed with industry input, the program offers dissertation opportunities with industry partners, ensuring practical, real-world experience. Students benefit from 24-hour access to advanced labs and industry-standard software, along with regular guest lectures, networking events, and career workshops.

  • Sector-specific opportunities: The conversion design allows graduates from non-computing backgrounds to transition into the technology, healthcare, government, business, and research sectors, with practical and technical skills that meet current market demands.

  • Further study: Graduates can pursue a PhD in Data Science, Artificial Intelligence, or related disciplines, or progress to specialist MSc programs such as Advanced Computer Science, Business Analytics, or Big Data Analytics.

Program Key Stats

£30,900
£ 29
Oct Intake : 14th Jan


Eligibility Criteria


92
6.5
92
2:2
1180

Additional Information & Requirements

Career Options

  • Data Scientist
  • Data Analyst
  • Analytics Engineer
  • Big Data Engineer
  • Business Intelligence Analyst
  • Data Architect
  • Data Manager
  • Statistician
  • Data Steward
  • AI Specialist

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