MSc Data Science and Analytics with Advanced Research
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 School has a strong international reputation for research in this area and this expertise influences this course which explores current research and practice in data science and analytics, extending your 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 MSc can lead to a career such as a data scientist.
Graduates obtaining this award will be equipped to pursue research to PhD level, or to enter specialist employment in technically advanced and unpredictable working environments requiring sound judgment and the exercise of personal responsibility and initiative.
Why choose this course?
- The award gives you the opportunity to study advanced research topics in computer science, normally across multiple specialisms, and comprehensive research methods, and to undertake an extended masters project on a cutting-edge research topic.
- 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 as world-leading or internationally excellent in the Research Excellence Framework (REF) 2014.
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|
|Data Science and Analytics Masters Project||60 Credits||Compulsory|
|Preparation for Project||0 Credits||Compulsory|
|Advanced Research Topics in Computer Science||30 Credits||Compulsory|
|Research Methods||30 Credits||Compulsory|
Further course information
|Course fact sheets|
|MSc Data Science and Analytics with Advanced Research||Download|
|MSc Computer Science (Modular) with Advanced Research||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.
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.
Please note that some of the images and videos on our course pages may have been taken before social distancing rules in the UK came into force.