University of Derby
Big Data Analytics
This course provides a foundation for students to pursue a career applying leading edge software and analytics technology or conducting research in this field. It will give students an in-depth knowledge and critical understanding of the key issues and concepts. Students will develop powerful skills in the extraction, analysis and management of information from big data using a variety of scientific techniques and software tools. The course is designed in conjunction with SAS, whose data mining and business intelligence platform is widely used in academia and industry. Students will have the opportunity to gain SAS 9 base certification. Students will be introduced to knowledge discovery, analysis and assessment of data extracted from structured and unstructured big-data sets, visualisation and communication of results. Students will process advanced knowledge and information, make deductions and form conclusions. The practical skills students will 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 the studies, students will address real-world industry-based problems during supervised computer sessions and through independent work.
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. If English is not your first language, you'll also need an IELTS score of 6.0 or equivalent.
You'll study core and optional modules such as business analytics with SAS; statistical techniques; studying at Master's level and research methods; processing big data; information visualisation; analytics: ethics, trusts and governance; comparative analytics tools; natural language processing; optimisation; independent scholarship.
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Full-time||September 2017||GBP 670 per Module (Home/EU)||1 Years|
|MSc||Full-time||September 2017||GBP 12,240 per Whole course (International)||1 Years|
|MSc||Part-time||September 2017||GBP 12,240 per Whole course (International)||2 Years|
|MSc||Part-time||September 2017||GBP 670 per Module (Home/EU)||2 Years|
|MSc||Full-time||January 2018||GBP 670 per Module (Home/EU)||1 Years|
|MSc||Full-time||January 2018||GBP 12,240 per Whole course (International)||1 Years|
|MSc||Part-time||January 2018||GBP 670 per Module (Home/EU)||2 Years|
|MSc||Part-time||January 2018||GBP 12,240 per Whole course (International)||2 Years|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
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