MSc Data Science and Artificial Intelligence

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Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

Designed in collaboration with key stakeholders including students, employers, academics and external advisors, this programme aims to enable you to develop skills of logical, explorative, analytical and critical thinking in intelligent decision support systems.

Delivered by expert lecturers and industry experts with evidence of research within the Data Science and AI field, each module covers essential elements of data and intelligence with increasing complexity of the knowledge and skills you will need to understand in the digital era.

Real-world case studies will be used throughout the course, and you’ll also have the opportunity to carry out a professional work placement, putting into practice what you’ll learn in your taught sessions.

You’ll also have access to equipment and facilities including Cloud Services, MLOps and ML Pipelines, as well as specialised software such as Hadoop and MapReduce, Apache Kafka and Storm and Tableau for big data and data visualisation.

On successful completion of the MSc Data Science and Artificial Intelligence, you could work in a number of roles, which could include Data Analyst, Strategic Data Insight, AI Developer, AI Data Engineer, Business Intelligence Analyst, ML Engineer or Data Scientist.

This degree will also prepare you for further study, such as pursuing a PhD.

Applicants with a conditional or unconditional offer for our MSc in Data Science and Artificial Intelligence programme may be eligible to apply for a scholarship from the Office for Students.

Applicants will need to demonstrate that they fall under at least one of the nine underrepresented groups as identified by the OfS, with scholarships prioritised for women, black students, students registered disabled and those from low socioeconomic backgrounds, to increase diversity in the tech sector.

  • Gain hands-on experience with access to real-world assessment strategies and successfully demonstrate industry-based skills and innovation in decision support and data-driven decision-making.
  • Acquire knowledge of ethical and legal issues which inform data and AI.
  • Develop multi-disciplinary skills of statistics and computing skills.
  • Put into practice what you learn in taught sessions with professional work placements, working on real-world problems.
  • Receive financial support through a PG loan or bursary. For more information and full eligibility criteria on the Artificial Intelligence and Data Science Scholarship, visit our MSc Data Science and Artificial Intelligence Scholarship page.
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    Requirements

    The requirements may vary based on your selected study options.





















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    Use our magical AI system, to check your admission chances for this course.
    Tuition fee
    Apply by
    Start date
    Sep 2025
    Sep 2026
    Duration
    Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    4 - 6 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs