The MSc Big Data Analytics is a perfectly structured programme that equips students with both the theoretical grounding and the practical skills concerning a broad range of topics related to Big Data Analytics.
Big data is around us. 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 processing and obtaining intelligence from the precious commodity of big data are in demand across many sectors, ranking data scientist as the best job in America according to Glassdoors 2018 rankings and for three years running.
The main focus of the programme is the extraction, analysis, exploitation and management of information from big data, using a variety of scientific techniques and software tools. A key aspect of the programme is that its structure and learning outcomes are 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.
The programme is designed for graduates in a science, technology, engineering or mathematics subject (STEM), who want to gain the necessary background in Big Data Analytics, but also for data analysis professionals who want to expand their knowledge and skills in this specific discipline. Thus, this specific programme provides exciting career opportunities in academia or industry.
The programme is studied within 2 years in a part-time basis and comprises of six 20-credit modules and a diploma thesis of 60 credits. A key aspect of the programme is that its structure and learning outcomes are designed in conjunction with SAS Analytics. The whole programme is brought together by an in-depth project through the Independent Scholarship module in an area of your choice, which may be focused on your current role if you are studying part time, or in an area where you see your career developing.