Data Analytics for Decision Making Pathways – Master of Information Management (MIM)
The University of Maryland College of Information Studies (UMD iSchool) is the right place to be if you find joy in data and information – from appreciating the elegance of a data set to the innovation of a visualization. Students in the MIM program have several focus area options in which they learn advanced skills in data analytics and information management that can be leveraged into a successful careers.
Data Analytics Focus Area
Students develop advanced skills in data analytics and visualization, including machine learning, artificial intelligence, and big data infrastructures and tools, allowing them to transform data into meaningful insights that drive social and organizational decision making.
Game & Entertainment Analytics Focus Area
Students learn how to leverage analytics to support the media/entertainment design-process and drive profitability. Graduates are positioned to work with game-designers, to develop and analyze customer profiles, and develop reporting tools using real-time analytics.
Strategic Management Focus Area
Students learn to facilitate collaboration and information sharing to support organizations in developing information strategies. Students are trained to evaluate the needs of different users and to create and integrate technical tools and information management solutions.
The skills I’m learning in the iSchool are preparing me to be a leader in the information industry. I’m learning how to use data analytics and business analytics to help clients reach decisions that are beneficial.
– Alexandra Porter, MIM Student 2018
Graduates are poised to launch or advance careers in the use of analytics to inform organizational and social decision-making, including Chief Data Officers, Directors of Information Governance, Data Quality Analysts, Information Policy Analysts, Information Compliance Specialists, Data Architects, Data Analysts, Data Scientists, Business Analysts, Data Visualization Specialists, Machine Learning Scientists, Business Intelligence Developers, Entertainment Analytics Engineers, Game Analytics Specialists, and Game Data Scientists.
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