MSc Data Science and Analytics with Placement Year

Why choose Herts?

  • Industry Accreditation: BCS accreditation will be sought once this award has its first group of graduates in 2020.
  • Work Placement Opportunities: You will gain real industry experience during a one-year work-placement.
  • Employment Prospects: Graduates in our department are now data scientists, data engineers, and data analytics consultants working for organisations including BT, IBM, and Microsoft.

Due to the ongoing Coronavirus pandemic, examinations may be replaced by an alternative form of assessment during the academic year 2020/2021. Please refer to the Programme Specification on these pages for further details.

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.

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.

  • Level 7
    Module Credits Compulsory/optional
    Data Mining 15 Credits Compulsory
    Neural Networks and Machine Learning 30 Credits Compulsory
  • Further course information

    Course fact sheets
    MSc (SW) Data Science and Analytics Download
    Programme specifications
    MSc Computer Science (Modular) Download
    Additional information

    Sandwich placement or study abroad year

    Mandatory

    Applications open to international and EU students

    Yes

    Student experience

    At the University of Hertfordshire, we want to make sure your time studying with us is as stress-free and rewarding as possible. We offer a range of support services including; student wellbeing, academic support, accommodation and childcare to ensure that you make the most of your time at Herts and can focus on studying and having fun.

    Find out about how we support our students

    You can also read our student blogs to find out about life at Herts.

    Please note that some of the images and videos on our course pages may have been taken before social distancing rules in the UK came into force.