MSc Data Science and Analytics
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 have a one-year industry placement option enabling you to gain real industry experience.
- Employment Prospects: Graduates in our department are now data scientists, data engineers, and data analytics consultants working for organisations including BT, IBM, and Microsoft.
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 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.
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.
- Computer Science saw 90% of its research ranked as world-leading (Research Excellence Framework, 2021).
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.
|Data Mining||15 Credits||Compulsory|
|Neural Networks and Machine Learning||30 Credits||Compulsory|
|Foundations of Data Science||30 Credits||Compulsory|
|Applied Data Science and Analytics||15 Credits||Compulsory|
|Data Science and Analytics Masters Project||60 Credits||Compulsory|
|Team Research and Development Project||15 Credits||Compulsory|
|Legal and Ethical Practice Exercise||15 Credits||Compulsory|
Further course information
|Course fact sheets|
|MSc Data Science and Analytics||Download|
|MSc Computer Science (Modular)||Download|
Sandwich placement or study abroad year
Applications open to international and EU students
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.
You can also read our student blogs to find out about life at Herts.