College of Engineering and Technology

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.

Entry requirements

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.

Course modules

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.

Qualifications

Qualification Study mode Start month Fee Course duration
MSc Full-time September 2017 GBP 12,240 per Whole course (International) 1 years
MSc Full-time September 2017 GBP 670 per Module (EU fees) 1 years
MSc Full-time September 2017 GBP 670 per Module (home fees) 1 years
MSc Part-time September 2017 GBP 670 per Module (EU fees) 2 years
MSc Part-time September 2017 GBP 670 per Module (home fees) 2 years
MSc Full-time January 2018 GBP 12,240 per Module (International) 1 years
MSc Full-time January 2018 GBP 670 per Module (EU fees) 1 years
MSc Full-time January 2018 GBP 670 per Module (home fees) 1 years
MSc Part-time January 2018 GBP 670 per Module (EU fees) 2 years
MSc Part-time January 2018 GBP 670 per Module (home fees) 2 years

Campus details

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Get in touch

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Key information

Contact: 
Course Enquiries
Telephone number: 
01332 591167