Skip navigation
Data Analytics at University of Huddersfield - UCAS

Course options

2024 - 20252025 - 20262026 - 2027
Apply

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

Does working with big data excite you? Our MSc in Data Analytics at The University of Huddersfield combines practical work with experiential learning to get you ready for a satisfying career in data science. Open to graduates of any discipline, this Master’s course is designed to meet the industry demand for experts with advanced skills and knowledge in the following:

  • Statistics
  • Data mining techniques
  • Big data and associated large-scale databases
  • Complex data visualisation.
You’ll finish our Data Analytics course with a deeper understanding of how to analyse and visualise complex datasets, evaluate existing and emerging data science technology and provide novel data solutions to stakeholders to improve their decision-making process. Why study Data Analytics at Huddersfield? Our hands-on Data Analytics MSc is designed to meet the demand for a new kind of IT specialist with skills and knowledge in data science. The course will provide you with the opportunity for professional development and valuable practice. Our course is aligned with the SAS Institute, which is a multinational enterprise providing analytical solutions, platform and software, and training courses to high profile companies and academia. You will follow SAS training as part of your course, which puts you on the path to apply for SAS Certification and also allows you to obtain SAS Digital Badges that you can use in your CV or your online profiles to prove your skills to employers. Our partnership with SAS also gives you access to relevant job opportunities through portals like Handshake UK. This course is also fully accredited by the British Computer Society (BCS), the Chartered Institute for IT, and by completing it, you will have partially fulfilled the academic requirements for registration as a Chartered Engineer and IT Professional and Chartered Engineer. The University is nestled within the heart of Huddersfield, a warm and welcoming town, known for its friendly atmosphere and diverse community. When you’re not studying, you can enjoy an array of exciting activities and experiences. From cultural events and charming cafes to stunning scenery and fantastic transport links, there’s plenty to do in and around the town centre. We also offer this course as a part-time Distance Learning route (https://courses.hud.ac.uk/part-time/postgraduate/data-analytics-msc-distance-learning)

Modules

Our MSc in Data Analytics offers a wide range of modules across each year of the course. These include: • Databases for Large Data-sets • Big Data Analytics • Data Visualisation • Data Mining • Data Analysis and Statistics • Case Studies in Data Analytics and Artificial Intelligence • Machine Learning.

Assessment method

Students in the Data Analytics MSc programme will be taught through lectures, tutorials, directed reading and practical work. In some modules, learning is primarily student centred and tutor guided to emphasise the practical aspects of these modules. A variety of assessment strategies to test your ability to apply knowledge and skills is used, including: • Reports on laboratory experiments • Laboratory assignments • Projects. You will be given timely written or verbal feedback on all your completed coursework.

Professional bodies

Professionally accredited courses provide industry-wide recognition of the quality of your qualification.

  • British Computer Society
  • BCS - The Chartered Institute for IT

Entry requirements

Entry requirements for this course are normally: * A BSc, BEng or BA Honours degree (2:2 or above) or equivalent professional qualification in any subject. * Applicants with other appropriate professional qualifications and/or experience will be considered on an individual basis.

English language requirements

If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum for IELTS is 6.0 overall with no element lower than 5.5, or equivalent.

Read more about the University’s entry requirements for students outside of the UK on our International Entry Requirements pages.

https://hud.ac.uk/international/courses-and-entry-requirements/international-entry-requirements/

Fees and funding

Tuition fees

England £9900* Year 1
Northern Ireland £9900* Year 1
Scotland £9900* Year 1
Wales £9900* Year 1
Channel Islands £9900* Year 1
Republic of Ireland £9900* Year 1
EU £18700* Year 1
International £18700* Year 1

*This is a provisional fee and subject to change.

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

The information provided below is for those applying to study at the University of Huddersfield in the academic year 2025/26. Please note that tuition fees for subsequent years may rise in line with inflation (RPI-X) and/or Government policy. This webpage will be updated with 2026/27 tuition fees as information becomes available. Tuition fees for UK students will cover the cost of your study at the University. For more information about funding, fees and finance for UK students, including what your tuition fee covers, please see our Fees and Finance - https://www.hud.ac.uk/postgraduate/fees-and-finance/ If you are an EU or international student coming to study at the University of Huddersfield, please visit the International Fees and Finance pages for full details of tuition fees and support available - https://www.hud.ac.uk/international/fees-and-funding/ Please email the Student Finance Office ([email protected]) or call 01484 472210 for more information about fees and finance.

Sponsorship information

For further information please visit (https://www.hud.ac.uk/postgraduate/funding-studies/’)

Data Analytics at University of Huddersfield - UCAS