This MSc in Data Science and Analytics is part of the master's programme in Computer Science, focusing on advanced topics such as mathematics, programming, data mining, machine learning, and data analytics applications. The course is offered in three award routes: MSc Data Science and Analytics, MSc Data Science and Analytics with Placement Year, and MSc Data Science and Analytics with Advanced Research. The course is taught by a highly-regarded computer science department, with 90% of its research ranking as world-leading. Students will study in the newly opened School of Physics, Engineering and Computer Science building, which offers experiential learning zones, a Success and Skills Support Unit, and industry mentors. The building also provides space for collaboration and is designed with the University's net zero carbon target in mind.
University of Hertfordshire
MSc Data Science and Analytics
Entry Requirements
- Requires a good honours degree in computer science or cognate discipline.
- Non-English speaking applicants must demonstrate English competence, typically through recognized awards equivalent to an overall IELTS score of 6.0.
Career Prospects
MSc Data Science and Analytics admission requires a good honours degree in computer science or cognate discipline. The choice of award title and prior learning demonstrate the applicant's qualifications. Non-English speaking applicants must demonstrate English competence, usually with an IELTS score of 6.0. The programme follows the University's Principles, Policies, and Regulations for Admission.
Course Details
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.
Modules
Data Mining - 15 Credits
Neural Networks and Machine Learning - 30 Credits
Foundations of Data Science - 30 Credits
Applied Data Science and Analytics - 15 Credits
Data Science and Analytics Masters Project - 60 Credits Team Research and Development Project - 15 Credits
Responsible Technology - 15 Credits
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