MSc Data Science and Analytics with Placement Year

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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
2 days after your application is submitted
Backlogs accepted
This course accepts backlogs

About the course

The MSc in Data Science and Analytics utilises our strong international reputation for research in these areas. The expertise of our staff influences this course which explores current research and practice in data science and analytics, extending your knowledge and understanding of the principles and practice of obtaining data from various sources, the essential methods for pre-processing and cleaning data, data analytics and modelling.

This course is part of our Master's programme in Computer Science.

Why choose this course?

  • You will gain industrial experience by applying the skills you have learned throughout your studies in a practical environment.
  • One of a range of advanced courses within our postgraduate Master's programme in Computer Science, this particular course provides you with a specialism in Data Science and Analytics
  • Advanced topics studied include mathematics and programming of data science, data mining, machine learning and neural artificis, and data analytics applications.
  • Taught by a highly-regarded and long-established computer science department.
  • Sixty percent of our research impact in Computer Science and Informatics at the University of Hertfordshire has been rated at world-leading or internationally excellent in the Research Excellence Framework (REF) 2014.

What will I study?

Classes consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible. There are specialist facilities for networking and multimedia and a project laboratory especially for masters students. In addition to scheduled classes, you will be expected a significant amount of time in self-study, taking advantage of the extensive and up-to-date facilities. These include the Learning Resource Centres, open 24x7, with 1,500 computer workstations and wifi access, Studynet our versatile online study environment usable on and off campus, and open access to our labs.

Professional Accreditations

This new version of the programme has been carefully designed to achieve appropriate levels of accreditation, and BCS accreditation will be sought after the award title has its first group of graduates in 2020.

Work placement

The course offers you the opportunity to work for one year in a highly professional and stimulating environment. You will be a full-time employee in a company earning a salary and will learn new skills that can't be taught at University. During the placement, you will be able to gain further insight into industrial practice that you can take forward into your individual project.

We will provide excellent academic and personal support during both your academic and placement periods together with comprehensive careers guidance from our very experienced dedicated Careers and Placements Service.

Although the responsibility for finding a placement is with you, our Careers and Placements Service maintains a wide variety of employers who offer placement opportunities and organise special training sessions to help you secure a placement, from job application to the interview. Optional one-to-one consultations are also available.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Compulsory modules
  • Data Mining
  • Neural Networks and Machine Learning
  • Preparation for Placement
  • Professional Work Placement for MSc Computer Science
  • Foundations of Data Science
  • Applied Data Science and Analytics
  • Data Science and Analytics Masters Project
  • Team Research and Development Project
  • Legal and Ethical Practice Exercise
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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
    2 days after your application is submitted
    Backlogs accepted
    This course accepts backlogs