Data Science and Analytics

On the Data Science and Analytics program of the University of HertfordshireClasses consist of lectures, small group seminars, and practical work in our well-equipped laboratories. We use modern, industry-standard software wherever possible.

Key facts

• 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.

Where will I study?

• Learn in our new School of Physics, Engineering and Computer Science building (SPECS), where you’ll experience a range of experiential learning zones.

• The computer science labs are home to telecommunications, robotics and UX empathy labs, with a variety of research spaces that range from dark rooms to clean rooms, and sample prep labs to calibration and assembly labs.

• You will also benefit from our Academic Support Hub, which is aimed at helping you build your employability and academic skills. Plus, have access to industry mentors who will provide you with pastoral support, vocational guidance, and career progression opportunities.

• Spectra also provides space to collaborate, with plenty of workshops, social and meeting spaces available. Even better, the building has been designed with the University’s net zero carbon target in mind, and forms part of our plan to replace or upgrade older sites that are energy inefficient.

What job can I get?

• Master's program is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research.

• The MSc Data Science and Analytics course will equip students with the knowledge and practical skills in data science and analytics from the foundations of data science in mathematics and programming, data mining, machine learning, to data analytics applications.

• Successful graduates may pursue a career as a data scientist or data engineer, data analytics consultant, digital marketing manager across a wide range of sectors.

Courses include:

• Data Mining

• Neural Networks and Machine Learning

• Applied Data Science and Analytics

• Data Science and Analytics Masters Project

• Team Research and Development Project

• Responsible Technology