find your perfect postgrad program
Search our Database of 30,000 Courses
University of Hertfordshire: Data Science with Advanced Research
| Institution | University of Hertfordshire |
|---|---|
| Department | Business Analysis and Statistics |
| Web | http://www.herts.ac.uk |
| ask@herts.ac.uk | |
| Telephone | 01707 284800 |
| Study type | Taught |
Summary
The programme offers three award routes that you can choose to study:
MSc Data Science MSc Data Science with Placement Year MSc Data Science with Advanced Research
Data is the currency of all but the most theoretically-based scientific research, and it also underpins our modern world, from the flow of data across international banking networks and the spread of memes across social networks, to the complex models of weather forecasting. The constant generation of data from our digital society feeds into our everyday lives, affecting how we receive healthcare to influencing our shopping habits. In order to handle, make sense of, and exploit large volumes of available data requires highly skilled human insight, analysis and visualisation. The professionals working in this field are called ‘data scientists’, who blend advanced mathematical and statistical skills with programming, database design, machine learning, modelling, simulation and innovative data visualisation. These professionals are in high demand in both public and private sectors in the UK and worldwide. This programme aims and learning outcomes are built around two guiding principles:
-
To provide comprehensive understanding of the fundamental mathematical and statistical concepts underlying data science, and how they are implemented in algorithms and machine learning techniques to solve a variety of data processing and analysis problems.
-
To provide training in the practical skills relevant to data science, central of which is the ability to write clean and efficient code in industry-recognised languages (in particular, Python and R), but also includes data handling, manipulation, mining and visualisation techniques.
MSc
| Level | RQF Level 7 |
|---|---|
| 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). |
| Location | Main Site University Admissions Service College Lane Hatfield AL10 9AB |
Not what you are looking for?
Browse other courses in Data analysis, or search our comprehensive database of postgrad programs.Postgraduate Bursary Opportunity with Postgrad.com
Are you studying as a PG student at the moment or have you recently been accepted on a postgraduate program? Apply now for one of our £2000 PGS bursaries.
Click here