Our MSc in Big Data Analytics provides a foundation for you to pursue a career applying leading edge software analytics technology or conducting research in this vitally important field. It will give you 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 datasets, visualisation 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.
With the MSc, you’ll be equipped for careers in business intelligence and data analytics in any type of industry, in consultancy or in entrepreneurship. The course also provides a foundation for progression to a PhD or MPhil, allowing you to pursue your research interests.
Core and optional modules:
Business Analytics with SAS Statistical Techniques Studying at Masters Level and Research Methods Processing Big Data Information Visualisation Analytics: Ethics, Trusts and Governance Comparative Analytics Tools Natural Language Processing Optimisation Independent Scholarship
An undergraduate degree (2:2 or above) or equivalent in a science, technology, engineering, mathematics subject, or a closely related discipline with significant mathematical content. Applicants without these qualifications may still be considered if they candemonstrate relevant work experience in a management or supervisory position – please contact us for more information.
Recipient: University of Derby
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