The School of Physics, Engineering and Computer Science offers an MSc in Data Science and Analytics, focusing on current research and practice in this area. The course offers 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. Graduates will be equipped to pursue research to PhD level or enter specialist employment in technically advanced working environments. The course is taught by a highly-regarded computer science department.
University of Hertfordshire
MSc Data Science and Analytics with Advanced Research
Entry Requirements
- Requires a good honours degree in computer science or cognate discipline.
- Award title selection based on applied award and student's prior learning.
- Non-English speaking applicants must demonstrate English competence, typically through recognized awards equivalent to an overall IELTS score of 6.0.
Career Prospects
The MSc Data Science and Analytics with Advanced Research course equips Computer Science graduates with the latest skills and knowledge required by employers in various sectors. It covers the foundations of data science, including mathematics, programming, data mining, machine learning, and data analytics applications. Successful graduates can pursue careers as data scientists, data engineers, data analytics consultants, or digital marketing managers.
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 Network and Machine Learning - 30 Credits
Foundation 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
Advanced Research Topics in Computer Science - 30 Credits
Research Methods - 30 Credits
Responsible Technology - 15 Credits
*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.
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