MSc in Big Data and Business Analytics

Over the last decade there’s been a massive explosion in both the data generated and retained by companies.  In this context, the role of data science combining aspects of statistics, computer science, applied mathematics, and visualization has become importance. So, the data science can turn the vast amounts of data the digital age generates into new insights and new knowledge.

There is significant and growing demand for data scientists with deep analytical and technical skills “who can ask the right questions and consume the results of analysis of big data effectively”. Data scientists take an enormous mass of structured / unstructured data and use their formidable skills in math, statistics and programming to clean and organize them. Then they apply all their analytic powers to uncover hidden solutions to business challenges.

According to Gartner, big data is high-volume, high-velocity and/or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation. Companies of all sizes need a strategy for big data and a plan of how to collect, use, and protect it. In today’s business, companies use data and analytics to gain competitive advantage by taking the most accurate strategic and operational decisions.