Course summary
Does working with big data excite you? Then you’ll be glad to know that the 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. 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 • 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 provides students the opportunity for professional development and valuable practice. A vibrant town surrounded by beautiful countryside, Huddersfield is a friendly and diverse place from which to study, offering lots of things to do and see. Top 3 Reasons to Study Data Analytics at Huddersfield 1. Knowledge – Our course will equip you with the ability to evaluate existing and emerging data science technology and apply your knowledge to big data problems. 2. Boosted Career Prospects – 88.2% of our graduates from the School of Computing and Engineering were in work or further study 15 months after graduation.* 3. Practical Experience – In the final Individual Project module, you’ll be able to put your experiences and skills to the test by working independently on a project related to a self-selected problem, either for an external client or for an internal client. *HESA Graduate Outcomes 19/20
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 'Where are you from?' information pages.
Fees and funding
Tuition fees
England | £7900 | Year 1 |
Northern Ireland | £7900 | Year 1 |
Scotland | £7900 | Year 1 |
Wales | £7900 | Year 1 |
Channel Islands | £7900 | Year 1 |
Republic of Ireland | £7900 | Year 1 |
EU | £18700 | Year 1 |
International | £18700 | Year 1 |
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
Provider information
University of Huddersfield
Queensgate
Huddersfield
HD1 3DH