Certificate of Advanced Study In Data Science
Contact Erin Bartolo, Data Science Program Manager, 114D Hinds Hall, 315-443-3777, iGrad@syr.edu; www.ischool.syr.edu/datascience
The CASDS program requires 15 credit hours covering specific focus areas of digital curation, data science education, and information analytics. It comprises 2 Core Courses (6 credits) in databases and data science. The remaining credits (9) are elective credits to be selected from such areas as communication and collaboration, digital curation, digital libraries, information assurance,project management, mashups, research, scripting, statistics, technologies, and visualization.
All candidates should have a bachelor’s degree or equivalent. In addition, it is recommended that potential students have a strong background in science, statistics, research, and /or information technology. Applicants should have an interest in interdisciplinary work focused on managing big data using information technologies as tools. Prospective students who have an interest in data science, but lack the recommended undergraduate background, are encouraged to inquire. Individual consultations are available for such prospective students to explore their potential candidacy.
IST 659 Data Administration Concepts and Database Management
IST 687 Applied Data Science
IST 558 Technologies for Web Content Management
IST 565 Data Mining
IST 645 Managing Information Systems Projects
IST 657 Basics of Information Retrieval Systems
IST 664 Natural Language Processing
IST 676 Foundations of Digital Data
IST 677 Creating and Managing Digital Assets
IST 681 Metadata
IST 718 Advanced Data Analytics
IST 719 Information Visualization
IST 722 Data Warehouse*
IST 769 Advanced Database Management
IST 776 Research Methods in Information Science and Technology
IST 777 Statistical Methods in Information Science and Technology
* Additional Course Descriptions:
IST 722 Data Warehouse: Introduction to concepts of business intelligence (BI) and the practice/techniques in building a BI solution. Focuses are on how to use data warehouses as a BI solution to make better organizational decisions.