- You’ll normally need an undergraduate degree (2:1 or above) or equivalent in a science, technology, engineering or mathematics subject, or a closely related discipline with significant mathematical content. Applicants without these qualifications may still be considered if they can demonstrate relevant work experience in a management or supervisory position.
Months of entry
Big data is all around us. Every day, 2.5 quintillion (2,500 followed by 15 zeros) bytes of data are created, and 90% of the data in the world today has been generated in the last two years. As a consequence, the ability to identify and obtain intelligence from big data requires a set of skills which is increasingly in demand.
Our MSc in Big Data Analytics provides a foundation for you to pursue a career applying leading edge software and analytics technology or conducting research in this vitally important field. It will give you an in-depth knowledge and critical understanding of the key issues and concepts. You’ll develop powerful skills in the extraction, analysis and management of information from big data using a variety of scientific techniques and software tools.
One of the course’s key strengths is that it is designed in conjunction with SAS, the global leaders in data analytics, whose data mining and business intelligence platform is widely used in academia and industry. You’ll have the opportunity to gain SAS 9 base certification. We also boast strong links with employers through our research and high-profile consultancy projects, ensuring that our teaching remains up-to-date and relevant.
You’ll be introduced to knowledge discovery, analysis and assessment of data extracted from structured and unstructured big-data sets, visualization and communication of results. You’ll process advanced knowledge and information, make deductions and form conclusions. The practical skills you’ll develop include computer modelling and the design and analysis of big data sets. The broader skills include communication, teamwork, management and the ability to use advanced quantitative methods.
As part of your studies, you’ll address real-world industry-based problems during supervised computer sessions and through independent work. This intellectually demanding process requires not only specialist knowledge of big data analytics, but also the ability to apply multidisciplinary concepts to today’s dynamic business and scientific areas.
Information for international students
Read about how to apply to the University of Derby and more on our website: http://www.derby.ac.uk/international/
Qualification and course duration
Course contact details
- College of Engineering and Technology
- +44 (0)1332 593302