德比大学

The MSc Big Data Analytics paves the way for you to pursue a career applying leading-edge software and analytics technology or conducting research in this vitally important field.

Course description

• Gain the technical expertise and industrial experience you need to progress your career or launch an enterprise in big data analytics
• Develop high-level skills in business intelligence, data analytics and database technology
• Harness the full power of SAS software, thanks to our partnership with the global leader in business analytics services
• Address real-world industry-based problems and conduct a major research project on a theme of your choice
• Build broader skills in communication, teamwork and management to enhance your career prospects.

The course has been designed both for graduates from STEM (Science, Technology, Engineering and Mathematics) degrees, as well as subject areas where statistical analysis is a core subject, and for current professionals in Analytics and Data Science who wish to extend their knowledge and expertise of this field.

This course offers the ideal introduction to knowledge discovery, analysis and assessment of data extracted from structured and unstructured big-data sets, as well as the visualisation and communication of results. You will process advanced knowledge and information, make deductions and form conclusions. The practical skills you develop include computer modelling and the design and analysis of big data sets. You will also improve your abilities in broader areas such as communication, teamwork, management and the use of advanced quantitative methods.

As vast amounts of data continue to be generated in line with our growing use of IT products and services, exciting new career opportunities are emerging for big data specialists. With this MSc on your CV, you will open doors to a future in many areas of computing and information technology, particularly in the areas of data analytics, business intelligence and information management, visualisation and assurance, as well as people analytics in HR. To help you make the most of all these options, you will be well supported by the University’s careers service, who give advice on job application techniques, and by our academic staff who can provide guidance on relevant employment opportunities.