Taught course

MSc Data Science and Machine Learning with Extended Professional Practice

Institution
University of Hertfordshire · School of Physics, Engineering and Computer Science
Qualifications
MSc

Entry requirements

For admission to MSc Data Science and Machine Learning with Advanced Project, the requirement is a good honours degree (or equivalent) in a STEM subject, or a non-STEM subject with relevant experience. 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 the language to benefit from this postgraduate degree. This is 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 MSc Data Science and Machine Learning with Advanced Project degree 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).

Months of entry

January, September

Course content

The MSc in Data Science and Machine Learning draws on our internationally recognised research in data science and machine learning. It is informed by the expertise of our academic staff and reflects current research and practice in the field. The course develops your understanding of how to obtain data from a range of sources, alongside key methods for data pre-processing, cleaning, analytics, and modelling.

This 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.

Qualification, course duration and attendance options

  • MSc
    full time
    24 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Ask Herts
Email
ask@herts.ac.uk