MSc Data Science and Analytics (Online)
Why choose Herts?
- Our MSc in Data Science and Analytics builds on our extensive experience in data science research and KTP projects. The modules are prepared and taught using delivery methods that have been tested throughout our long-term provision of the field.
- The course focuses on the exciting fields of machine learning, designing and developing data mining applications, and studying, understanding, and applying data analytics in big data and cloud computing fields.
- The mode of delivery and assessments is problem solving based, combining real-life scenarios with a reflective learning experience, aimed at developing the highest level of problem solving and data analytic skills.
About the course
The MSc in Data Science and Analytics utilises our strong international reputation for research in these areas. The expertise of our staff 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 especially in big data analytics.
Why choose this course?
Find out more information about how online study works, funding and how to apply.
- 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 big data analytics.
- You will gain an internationally recognised master's degree from the UK's University of Hertfordshire.
- Flexible online learning allows you to fit study around your other commitments, without travel and accommodation costs.
- You will be taught by a highly regarded and long-established computer science department.
- Benefit from the same academic standards and quality control procedures as our equivalent on campus course.
What will I study?
Our online MSc programmes are taught 100% online through the University’s virtual learning environment, Studynet. Assessment is by coursework and online tests.
You will receive learning materials, take part in discussions and submit your assignments online. Additionally, you will receive study resources such as key e-books and any specialist software. You will have access to the University's extensive online library facilities, or be able to visit in person if you so choose.
The amount of study time required is no different from that needed for an on campus programme. You should expect to spend at least 30 hours per week if studying full-time, and in proportion if part-time.
Where will I study?
Learn in our brand-new School of Physics, Engineering and Computer Science building, opening in 2024, 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 a Success and Skills Support Unit, 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.
The new building will also provide 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.
Further course information
Course fact sheets | |
---|---|
MSc Data Science and Analytics (Online) | Download |
Programme specifications | |
---|---|
MSc Computer Science (Modular) On-Line/Tutored E-Learning | Download |
Additional information | |
---|---|
Sandwich placement or study abroad year |
n/a |
Applications open to international and EU students |
Yes |