The Master of Science in Analytics (MScA) program of the University of Chicago Graham School is at the forefront of the exciting developments within the field of analytics by educating students on cutting-edge analytical models and by making sure that students become lifelong learners by continuing to advance their knowledge even after they graduate.
Knowledge, fueled by science and technology-based innovations, has become the currency of twenty-first century economy. In addition to theory and experimentation, big data analytics has emerged as an additional way to discover new knowledge.
Organizations of all types and sizes have been collecting data on their customers, markets, processes, and even infrastructure, and then, analyzing the data to develop both significant business insights and machine-based intelligent systems that are effective and efficient. Analytics has thus become a broad and dynamic field with significant shortage of individuals with expertise in advanced analytics.
The shortage of qualified analytics talent is magnified by our field’s rapid development. Big data and the rapid expansion in different kinds of data structures demand that data scientists work with larger and more complex data sets to answer more challenging questions. Students of analytics must master not only the traditional analytical theory and practice but also learn emerging new technologies. The growth of big data demands that analytics professionals expand their skills to take advantage of a new world of possibilities or be pushed out of the field, so the shortage grows larger.
Sema Barlas, PhD
MScA Program Director
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