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 offers three award routes and is taught by a highly-regarded computer science department. Students will study in a brand-new School of Physics, Engineering, and Computer Science building, offering experiential learning zones, a Success and Skills Support Unit, and industry mentors.
University of Hertfordshire
MSc Data Science and Analytics with Placement Year
Entry Requirements
- Requires a good honours degree in computer science or cognate discipline.
- Award title selection based on applied award and 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 program equips Computer Science graduates with up-to-date skills in data science and analytics, enabling them to pursue careers in business, industry, government, or research. The course offers a work placement program, allowing students to gain practical skills in data science and analytics, including data mining, machine learning, and data analytics applications. The program also provides academic and personal support, career guidance, and special training sessions. To qualify for the placement period, students must pass all 60 credits of their study in their first attempt.
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
Preparation for Placement - 0 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
Professional Work Placement for MSc Computer Science - 60 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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