Applied Data Science Course Catalog

The online Master of Science in Applied Data Science program meets the same high academic standards of Syracuse University’s on-campus program. The curriculum is 36 credits and can be completed in 18 months. Designed to provide students with critical thinking and problem-solving skills, the curriculum is structured as follows:

Primary Core Coursework – 18 Credits

Primary core coursework builds foundational knowledge and skills in preparation for more advanced data application and techniques.

Introduction to Data Science

IST 687: 3 CREDITS

Data Administration Concepts and Database Administration

IST 659: 3 CREDITS

Data Analytics

IST 707: 3 CREDITS

Data Analysis and Decision Making

MBC 638: 3 CREDITS

Business Analytics

SCM 651: 3 CREDITS

Big Data Analytics

IST 718: 3 CREDITS

Analytics Application Core Courses – 3 to 6 Credits

Analytics application core courses provide students with an opportunity to choose one or two specializations so they can develop their preferred area of expertise. Students will learn to apply practical data science techniques to solve complex problems and pull insights from data.

Accounting Analytics

ACC 652: 3 CREDITS

Marketing Analytics

MAR 653: 3 CREDITS

Financial Analytics

FIN 643: 3 CREDITS

Principles of Management Science

SCM 702: 3 CREDITS

Electives – 12 to 15 Credits

Elective coursework allows students to develop advanced skills in another area of interest or within their specialization.

Scripting for Data Analysis

IST 652: 3 CREDITS

Natural Language Processing

IST 664: 3 CREDITS

Information Visualization

IST 719: 3 CREDITS

Data Warehousing

IST 722: 3 CREDITS

Text Mining

IST 736: 3 CREDITS

Advanced Database Management

IST 769: 3 CREDITS

Information Policy

IST 618: 3 CREDITS

Introduction to Information Security

IST 623: 3 CREDITS

Exit Requirement - Portfolio Milestone

Students choose specific projects throughout the program that best showcase their particular skills. Completed projects are included in the final portfolio and submitted to a panel of faculty for review in students’ final term.

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Now is the time to earn your master’s in data science online.


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