MSc Data Science and Analytics

2 Year On Campus Masters Program

University of Hertfordshire

Program Overview

The MSc Data Science and Analytics at the University of Hertfordshire offers a British Computer Society (BCS) accredited curriculum that develops expertise in data mining, neural networks, and advanced analytics. Delivered on the Hatfield Campus, this industry-informed program supports multiple intakes and study pathways including placement and advanced research options.

Students build strong foundations in machine learning, applied data science, and responsible technology while gaining access to state-of-the-art labs and industry mentors.

  • Accreditation: British Computer Society (BCS) 

  • Teaching Methods: Interactive lectures, supervised group sessions, peer learning, and lab-based instruction

  • Assessment: Mix of individual coursework, group projects, presentations, practical assignments, and final dissertation

Course overview

  • Core Modules:

    • Data Mining

    • Neural Networks and Machine Learning

    • Foundations of Data Science

    • Applied Data Science and Analytics

    • Data Science and Analytics Masters Project

    • Team Research and Development Project

    • Responsible Technology

Experiential Learning (Research, Projects, Internships etc.)

  • Industry Placement Option:

    • Optional 1-year paid placement in the UK or abroad

    • Real-world experience, full-time employment, and skill development in a professional setting

  • Project-Based Learning: Individual MSc dissertation and team research projects tackle live data or applied industry/research challenges

  • Facilities and Mentoring: Learn in a sustainable, net-zero carbon building with experiential learning zones and access to industry mentors for vocational guidance

Progression & Future Opportunities

  • Career Outcomes: Graduates employed at BT, IBM, Microsoft, and in data science and analytics roles across business, government, and research

  • Further Study: Advanced research pathway supports progression to doctoral studies and academic careers

  • Professional Skills: Training in mathematics, machine learning, programming, data modelling, and responsible technology practices

  • Career Support: Employability workshops, mentoring, CV support, and academic career guidance available throughout the program

Program Key Stats

£17250
£ 29
Sept Intake : 14th Jan


73 %

Eligibility Criteria


NA
NA
NA
NA
6.0
79
2:1
1210
28

Additional Information & Requirements

Career Options

  • Data Scientist
  • Data Engineer
  • Data Analytics Consultant
  • Digital Marketing Manager
  • AI/ML Engineer
  • Business Intelligence Specialist
  • Government Analyst
  • Academic Researcher

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