Data Science, CAS

Contact:

Jeff Saltz

Program Director

(315)443-2911

igrad@syr.edu

Website:

https://ischool.syr.edu/academics/certificate-of-advanced-study-in-data-science/

Overview:

The Certificate of Advanced Study (CAS) in Data Science program requires 15 credit hours and prepares students to work with large amounts of data using information technologies as tools to gain knowledge and insight. The 2 Core Courses (6 credits) focus on handling data through its full lifecycle: architecting, acquiring, analyzing, and archiving data. The remaining elective credits enable specializations in data analytics, data storage and management or other areas such as data 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. We also offer our CAS in Data Science online. Learn more about iSchool@Syracuse Online.

Student Learning Outcomes

1. Collect, store, and access data by identifying and leveraging applicable technologies
2. Create actionable insight across a range of contexts (e.g. societal, business, political), using data and the full data science life cycle
3. Apply ethics in the development, use and evaluation of data and predictive models (e.g., fairness, bias, transparency, privacy)

Primary Core (6 credits)

IST 659 - Data Administration Concepts and Database Management 3 credit(s)
IST 687 - Introduction to Data Science 3 credit(s)

Electives (9 credits)

Students need to choose three classes from the list of electives below

IST 644 - Managing Data Science Projects 3 credit(s)
IST 652 - Scripting for Data Analysis 3 credit(s)
IST 664 - Natural Language Processing 3 credit(s)
IST 681 - Metadata 3 credit(s)
IST 686 - Quantitative Reasoning for Data Science 3 credit(s)
IST 691 - Deep Learning in Practice 3 credit(s)
IST 692 - Responsible AI 3 credit(s)
IST 707 - Applied Machine Learning 3 credit(s)
IST 718 - Big Data Analytics 3 credit(s)
IST 719 - Information Visualization 3 credit(s)
IST 722 - Data Warehouse 3 credit(s)
IST 736 - Text Mining 3 credit(s)
IST 737 - Visual Analytic Dashboards 3 credit(s)
IST 769 - Advanced Big Data Management 3 credit(s)
MAS 766 - Linear Statistical Models I: Regression Models 3 credit(s)
MAS 777 - Time Series Modeling and Analysis 3 credit(s)
MBC 638 - Data Analysis and Decision Making 3 credit(s)
SCM 651 - Business Analytics 3 credit(s)