Building from a core in applied statistics, the Master of Science in Analytics (MScA) provides students with advanced analytical training to develop the ability to draw insights from big data and build automated artificial intelligence systems.
The MScA program is highly applied in nature, integrating business strategy, project-based learning, simulations, case studies, and specific electives addressing the analytical needs of various industry sectors. Relationships with corporate partners provide students with access to real data sets and the opportunity to address current business issues. Beyond the classroom, these corporate partnerships also provide valuable networking opportunities and career connections.
The curriculum offers a thorough exploration of state-of-the-art data-gathering tools, methods, and analytics.
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The MScA is an OPT/STEM approved program and accepts domestic and international students. It is intended for emerging analytics professionals and for those who wish to advance their careers in the field. The MScA is appropriate for a wide range of applicants including:
Organizations of all types 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 data science 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.
All courses are in-person in downtown Chicago at NBC Tower.
Autumn: August start.
Spring: February start.
Part-time: 2-3 years.
Full-time: Spring start - 1.25 years (5 quarters), Autumn start - 1.5 years (6 quarters).
A typical Msc Analytics student has two or more years of work experience.
NBC Tower, downtown Chicago
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The program provides the training and develops the skill set required to solve complex problems at the intersection of statistics, computer science, and business expertise.
Analytics extracts insights from massive amounts of data that can come from sensors placed in every device and place around us, posts to social media sites, purchase transaction records, video and audio recordings, and many more. These insights enable an ordinary person to make decisions that are likely to be as good as, or in most cases, better than the decisions made by the most intelligent person.
These insights also operate machines that can make extremely fast and accurate decisions that would be impossible for any human being ever to make. For instance, a machine learning algorithm could stream data from sensors to detect unattended bag in an airport seconds after the bag is dropped. Master of Science in Analytics (MScA) Program of the University of Chicago educates students to develop these insights to build the intelligent future promised by analytics.
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