Information and Data Analytics

The Information and Data Analytics pathway 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.

Hey there, current students: Your curriculum might look a little different, because degree requirements vary by cohort. You can find your cohort’s degree requirements, course planning sheets and other helpful tips on the MSI Academic Advising Resource site.  

MSI core courses:

SI 500: Problem-Solving with People, Information, and Technology

SI 506: Programming I

Mastery prerequisite courses:

SI 504: Servers, The Shell, and Git

SI 507: Intermediate Programming

SI 544: Introduction to Statistics and Data Analysis

SI 564: SQL and Databases

SI 568: Becoming a Data Scientist

SI 618: Data Manipulation and Analysis

Mastery course:

SI 699: Information and Data Analytics

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.

Selective requirement (pick three):

SI 510: Information Ethics

SI 519: Intellectual Property and Information Law

SI 540: Privacy in Information Technology

SI 602: Math Foundations

SI 608: Networks

SI 644: Advanced SQL and Databases

SI 649: Information Visualization

SI 630: Natural Language Processing: Algorithms and People

SI 650: Information Retrieval

SI 652: Incentives, AI and Alignment

SI 666: Organization of Information Resources

SI 676: Managing Digital Collections

SI 670: Applied Machine Learning

SI 671: Data Mining: Methods and Applications