Data Analytics (Distance Learning) at University of Huddersfield - UCAS

Course summary

Does working with big data excite you? Then you’ll be glad to know that the MSc in Data Analytics (with placement) at the University of Huddersfield combines practical work with experiential learning to get you ready for a satisfying career in data science. Specifically aimed at international students, this course meets the demand for experts with advanced skills and knowledge in the following: • statistics • data mining techniques • big data and associated file systems • 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 MSc (with placement) at Huddersfield? Our hands-on Data Analytics (with placement) 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. There is the option to complete this course via part-time distance learning, with access to materials online. Top 3 Reasons to Study Data Analytics MSc (with placement) 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 – 94.1% of our graduates from the School of Computing and Engineering were in work or further study 15 months after graduation.* 3. Practical Experience – Our team will support you in securing a six-month placement to practice the skills and techniques developed throughout the course. *HESA Graduate Outcomes 18/19

Modules

Our MSc in Data Analytics offers a wide range of modules across each year of the course. These include: • Data Analysis and Statistics • Big Data Analytics • Data Visualisation • 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, all of which will also be available online to distance learners via our virtual learning environment, Brightspace. In some modules, learning is primarily student-centred and tutor-guided. 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 your assessments.

Professional bodies

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

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

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.

https://www.hud.ac.uk/international/where-are-you-from/


Fees and funding

Tuition fees

EU £7920 Whole course
International £7920 Whole course
England £7920 Whole course
Northern Ireland £7920 Whole course
Scotland £7920 Whole course
Wales £7920 Whole course
Channel Islands £7920 Whole course
Republic of Ireland £7920 Whole course

Additional fee information

Please note that tuition fees for subsequent years of study may rise in line with inflation (RPI-X). Tuition fees will cover the cost of your study at the University. For more information about funding, fees and finance for Distance Learning students, including what your tuition fee covers, please see our Fees and Finance page - https://www.hud.ac.uk/postgraduate/fees-and-finance/ Employers looking to enrol a number of learners may be eligible for a corporate discount. Contact [email protected] for further information. Please email the Distance Learning Unit ([email protected]) for more information about fees and finance.
Data Analytics (Distance Learning) at University of Huddersfield - UCAS