MSc Data Science and Analytics with Advanced Research

2 Years On Campus Masters Program

University of Hertfordshire

Program Overview

This two-year MSc program at the University of Hertfordshire is designed for students seeking advanced academic depth and extended research experience in data science and analytics.

Delivered at the Hatfield Campus, it offers a curriculum focused on machine learning, neural networks, data mining, and responsible technology.

With added modules in research methods and advanced topics, the program builds strong foundations for careers in data-intensive industries or further academic study. The course aims for British Computer Society (BCS) accreditation.

  • Accreditation: British Computer Society (BCS) accreditation
  • Teaching: Classroom instruction, workshops, group learning, research supervision

  • Assessment: Coursework, research assignments, group projects, presentations, and a final extended 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

    • Advanced Research Topics in Computer Science

    • Research Methods

    • Responsible Technology

Experiential Learning (Research, Projects, Internships etc.)

  • Advanced Research Focus:

    • Includes modules in research methods and advanced research topics across computer science disciplines

    • Supervised extended MSc dissertation with opportunities to explore cutting-edge, interdisciplinary topics

  • Project-Based Learning: Team and individual projects tackle real-world problems using modern analytics tools and technologies

  • Facilities and Mentorship: Learn in a net-zero carbon, research-driven environment with access to industry mentors for guidance and development

Progression & Future Opportunities

  • Career Outcomes: Alumni have progressed to roles at BT, IBM, Microsoft, and within academic and research institutions

  • Further Study: Excellent preparation for PhD or research-intensive roles in academia and industry

  • Professional Skills: Emphasis on analytical thinking, data-driven problem-solving, ethical AI, research acumen, and communication

  • Career Support: Access to employability workshops, industry connections, and tailored academic support

Program Key Stats

£19800
£ 29
Sept Intake : 14th Jan


73 %

Eligibility Criteria


NA
NA
NA
NA
6.0
79
2:2
1210
28

Additional Information & Requirements

Career Options

  • Data Scientist
  • Data Engineer
  • Analytics Consultant
  • Digital Marketing Manager
  • Research Analyst
  • AI Engineer
  • Machine Learning Specialist
  • Doctoral Researcher

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