Pre-requisite Requirements
Academic knowledge of Calculus I, II and III (Multivariate), Linear Algebra and Basic Programming are required. Applicants who need a math/programming refresher or lack a demonstrated knowledge of advanced calculus, linear algebra and basic programming knowledge may be required to take the courses below in the summer prior to starting the program. If required, applicants will be notified in their admission decision letter.
MATH 7100 (Basic Math for Analytics)
MATH 7110 (Mathematical Foundations for Analytics)
CSC 7003 (Foundations for Programming)
Fall 1
MSA 8010 – Data Programming for Analytics (3 hours) | View a sample syllabus
MSA 8040 – Data Management for Analytics (3 hours) | View a sample syllabus
Spring 1
MSA 8050 – Scalable Data Analytics (3 hours) |View a sample syllabus
Elective
Summer
Internship (Optional)
Elective
Fall 2
MSA 8190 – Statistical Foundations for Analytics (3 hours) | View a sample syllabus
MSA 8020 – Data Visualization (1.5 hours) | View a sample syllabus
Elective
Spring 2
MSA 8150 – Machine Learning for Analytics (3 hours) | View a sample syllabus
MSA 8200 – Predictive Analytics (3 hours) | View a sample syllabus
MSA 8600 – Deep Learning Analytics (1.5 hours) | View a sample syllabus