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 students’ 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. 

Fact sheets 2019 Course fact sheet 1 MSc Data Science and Analytics
Programme specifications 2019 Programme specification 1 MSc Computer Science (Modular)

Why choose this course?

  • This MSc is available with an optional one-year industry placement
  • 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.

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.

Course details

What job can I get?

Our master's programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research.

The MSc Data Science and Analytics course will equip students with the knowledge and practical skills in data science and analytics from the foundations of data science in mathematics and programming, data mining, machine learning, to data analytics applications.

Successful graduates may pursue a career as a data scientist or data engineer, data analytics consultant, digital marketing manager across a wide range of sectors.

Teaching methods

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.

Work Placement

This MSc is available with an optional one-year industry placement

This 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.

Structure

  • Year 7
    Module Credits Compulsory/optional
    Data Mining 15 Credits Compulsory
    Neural Networks and Machine Learning 30 Credits Compulsory
  • Fees & funding

    Fees 2019

    UK/EU Students

    Full time
    • £8400 for the 2019/2020 academic year
    Part time
    • £700 per 15 credits for the 2019/2020 academic year

    International Students

    Full time
    • £12650 for the 2019/2020 academic year
    Part time
    • £1050 per 15 credits for the 2019/2020 academic year

    Discounts are available for International students if payment is made in full at registration

    *Tuition fees are charged annually. The fees quoted above are for the specified year(s) only. Fees may be higher in future years, for both new and continuing students. Please see the University’s Fees and Finance Policy (and in particular the section headed “When tuition fees change”), for further information about when and by how much the University may increase its fees for future years.

    View detailed information about tuition fees

    Read more about additional fees in the course fact sheet

    Other financial support

    Find out more about other financial support available to UK and EU students

    Living costs / accommodation

    The University of Hertfordshire offers a great choice of student accommodation, on campus or nearby in the local area, to suit every student budget.

    View detailed information about our accommodation

    Entry requirements

    For admission to MSc Data Science and Analytics, the normal requirement is a good Honours Degree (or equivalent) in computer science or cognate discipline. The choice of award title students may be accepted on to will be determined by the award applied for and the prior learning of the student as demonstrated by the transcript for existing qualifications held by the applicant.

    Applicants whose first language is not English must demonstrate sufficient competence in English to benefit from the Programme.  This is normally demonstrated by recognised awards equivalent to an overall IELTS score of 6.0. Candidates who do not satisfy these requirements will be considered on a case-by-case basis.

    The programme is subject to the University's Principles, Policies and Regulations for the Admission of Students to Undergraduate and Taught Postgraduate Programmes (in UPR SA03), along with associated procedures.  These will take account of University policy and guidelines for assessing accredited prior certificated learning (APCL) and accredited prior experiential learning (APEL).

    How to apply

    Course length
    • Full Time, 1 Years
    • Part Time, 3 Years
    Locations
    • University of Hertfordshire, Hatfield

    2019

    Start DateEnd DateLink
    23/09/201930/09/2020Apply online (Full Time)
    20/01/202031/05/2021Apply online (Full Time)
    23/09/201930/09/2020Apply online (Part Time)
    20/01/202031/01/2021Apply online (Part Time)

    2020

    Start DateEnd DateLink
    23/09/202030/09/2021Apply online (Full Time)
    20/01/202131/05/2022Apply online (Full Time)
    23/09/202030/09/2021Apply online (Part Time)
    20/01/202131/01/2022Apply online (Part Time)

    2021

    Start DateEnd DateLink
    23/09/202130/09/2022Apply online (Full Time)
    20/01/202231/05/2023Apply online (Full Time)
    23/09/202130/09/2022Apply online (Part Time)
    20/01/202231/01/2023Apply online (Part Time)
    We welcome applications from international and EU students