Data is the resource of the 21st century, and the quest for harnessing its economic and social potential calls for an increasing number of specialists and managers who not only have solid technical, analytical, and AI know-how but are also able to apply them as creative entrepreneurs. The ability to recognize relationships in large data sets and to unleash their value with the help of Data Science and Artificial Intelligence is increasingly becoming a key competence that companies and organisations are eager to acquire, resulting in strong demand for talented experts who can harness this potential to best effect. The multidisciplinary Master's programme prepares its students for the challenges they will face as specialists and managers in the digital economy. As data scientists with strong applied skills, they will have a wide range of career options in SMEs, corporations, public institutions and non-profit organisations.

Big data analytics comprises advanced analytics involving intricate applications of statistical, mathematical concepts in conjunction with advanced algorithms. This upbeat and hands-on style to reach business decisions is transformative because it empowers decision-makers with the power to make informed decisions to approach real-time business objectives. The MSc program in Big Data Analytics would allow students to gain an understanding of the various data sources and enable them to study, understand and analyze the data incurred across sources. This program in big data analytics follows a multi-disciplinary approach at its center, focusing on the prevalent as well as evolving Big Data tools like Hadoop and Cloud Architecture. This program is everything one would need to make an effective career shift and delve into the world of big data analytics.

There is a growing need for experts who have specific knowledge in a scientific discipline combined with skills in data science, modeling, and computation. Programming, Algorithms, Data-Structures, Mathematical Modelling, Machine Learning, Pattern Recognition, Data Bases, Data Architecture Systems, Handling and Visualising Data, Neural Networks, and Deep Learning are the relevant Keywords. Those who master these contents have key qualifications for the future.