University of Michigan School of Information
Big Data Analytics
The Big Data Analytics Mastery course prepares students to demonstrate mastery of data collection, processing, analysis, retrieval, mining, visualization, and prediction. You’ll synthesize methods from information retrieval, statistical data analysis, data mining, machine learning, and other big-data related fields.
UMSI Mastery courses are special types of courses that allow you to demonstrate synthesis of the major theories, methods, and approaches to inquiry and/or schools of practice necessary for entry into a particular career in the information professions.
Students work on semester-long projects that deal with industry-scale data sets and solve real-world problems. Aligned with best industry practices, you’ll work in a fast-paced, collaborative environment and to demonstrate independence and leadership. When you’re finished, you’ll be able to create and use tools to handle very large transactional, text, network, behavioral, and/or multimedia data sets.
Note: Current students should refer to their respective academic advising Canvas sites to ensure they are accessing the most up to date curricular information for their specific cohort.
SI 501: Contextual Inquiry and Consulting Foundations
SI 504: Servers, The Shell, and Git
SI 507: Intermediate Programming
SI 544: Introduction to Statistics and Data Analysis
SI 568: Intro to Applied Data Science
SI 602: Math Foundations
SI 618: Data Manipulation and Analysis
Plus one or more of:
SI 670: Applied Machine Learning
SI 671: Data Mining: Methods and Applications
Plus two or more of:
SI 630: Natural Language Processing: Algorithms and People OR SI 561: Natural Language Processing
SI 649: Information Visualization
SI 534: Theories of Social Influence
SI 652: Incentives and Strategic Behavior in Computational Systems