Big Data Analytics

Our 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.

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, skills in identifying and obtaining intelligence from the precious commodity of big data are in demand across many sectors. On this course, you will:

• 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.

• Students must have completed a subject relevant Bachelors degree with an overall score of 'Good' or above (2.25 GPA) from a recognised university in Jordan
• For postgraduate research degrees, PhD applicants are expected to have a masters as well as a bachelors degree in the relevant subject areas. Most importantly applicants must submit a research proposal.

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.