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Entry requirements

The standard entry requirement for the MSc programme is an Honours Degree of at least 2:2 classification or an overseas qualification of an equivalent standard in a subject other than Computer Science. In some cases applicants with substantial commercial or industrial experience can be accepted, subject to interview and references.

Months of entry

September

Course content

With the continued rise of digital companies, data is the driving force behind some of the biggest organisations in the world. Professionals with the right expertise in data analytics use cutting edge technologies to turn data into valuable knowledge. As data is being used increasingly to personalise, aggregate, and measure our everyday experiences, there is also a growing need for those who can develop such systems in a responsible and ethical manner. By studying this Master’s Programme, you will be perfectly positioned to meet this demand.

This course can be completed in 1 year full time, or 2 years part time.

You will learn how to use various models, methods, tools and techniques to convert data into information and knowledge that can be understood by non- specialists, in order to make informed decisions for governments, companies, and other organisations-based on facts, statistical numbers and trends.

This will be enhanced by developing your knowledge of interdisciplinary skills and statistics, software programming, and using modern data analysis and visualisation technologies.

  • This course is designed as a conversion Masters which will provide you with opportunity, regardless of your previous subject area, to pursue a career in Data Science.
  • Learning and teaching will help you pave a wealth of skills, knowledge, tools and technology to ensure a smooth transition into this specialist area.
  • Data science is a platform with a complex blend of technology, algorithm development, and data interference. We have developed our course to ensure that you are equipped with cutting-edge knowledge-recognising the current and predicted future of the field.
  • We will transform your understanding, inspiring you to make informed judgements by critically evaluating security, legal, ethical and privacy issues-considering the environmental impact of current and emerging big data technologies and applications.
  • Our team are leading research-active professionals, on hand throughout the course to support your learning with their knowledge and expertise.

There are six main modules which are 20 credits each, followed by a 60 credit dissertation, making a total of 180 credits. All modules are core.

MODULES

  • Postgraduate Study and Research Methods
  • Advanced Data Structures and Algorithms
  • Database Systems and Data Analytics
  • Big Data Challenges and Opportunities
  • Data Analysis and Visualisation
  • Machine Learning
  • Dissertation

Information for international students

If you are applying as an European / International Student, and live outside of the UK, you should make your application through our online application system, Centurus.

For information about the university’s entry requirements for EU/international students, please visit our international section.

Fees and funding

UK students
£5940

You do not have to pay your tuition fees upfront.

Wrexham Glyndŵr University’s tuition fees for 2022/23 for MSc Data Science and Big Data Analytics are £5940.

The fees you pay and the support available will depend on a number of different factors. Full information can be found on our fees & funding page.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    • Distance learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification
    • Distance learningis available for this qualification

Course contact details

Name
Enquiries
Email
enquiries@glyndwr.ac.uk
Phone
01978 293439