"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."
Why choose Herts?
Teaching Excellence: You will be taught by internationally recognised research staff with expertise across mathematics, statistics, astrophysics, medical physics, and computer science (see key staff).
Work-Placement Opportunities: You have an option to take a one-year paid industry placement. Students have had placements with organisations including NatWest, Sparta Global, and Sky.
Industry Connections: Benefit from our strong links with the computing industry. We work with employers such as Microsoft and Hewlett Packard for students to engage in careers fairs and industry sessions.
About the course
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. 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 the public and private sectors in the UK and worldwide. This programme aims and learning outcomes are built around two guiding principles:
To provide a 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.
Why choose this course?
This programme is distinctive in its philosophy of widening participation and provides a route to gain skills and training in data science to those from a background not traditionally associated with the S.T.E.M. themes of mathematics, statistics and programming. The programme is designed to be appealing to a broad range of students who are seeking training or up-skilling in data science.
You will benefit from the expertise of astrophysicists, physicists, mathematicians and computer scientists with international research profiles. Their day-to-day research involves the application of and in some cases the development of new, data science skills, from fundamental statistical analyses, the use of distributed high-performance computing, and research into novel artificial intelligence algorithms.
We aim to make the programme distinctive in terms of the mixture of hard and soft skills, and the close personal relationship that we are developing with employers, which will feed into the programme through continuous assessment of the latest industry-relevant tools, which are continually evolving as new technology and software become available.
You will experience a multidisciplinary approach to data science by experiencing challenges in computer science, creative arts, medical and business environments.
You will have the opportunity to attend a wide range of research-focused seminars to excite and spark your intellectual curiosity.
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.
Sandwich placement or study abroad year: n/a
Applications open to international and EU students: Yes