核心课程：
MGT 6203 Data Analytics in Business (3 credits)
CSE 6242 Data and Visual Analytics (3 credits)
One operations research course (3 credits)
Two statistics courses (6 credits)
5 Elective/core courses (15 credits; includes 3 introductory core courses in computing, business, and statistics/OR areas, each of which may be waived depending on individual student backgrounds; most students are expected to need 2, leaving 3 remaining elective course slots)
6 credits of the Applied Analytics Team Practicum or internship
Each student’s course choices must satisfy the requirements of at least one of the defined tracks (Analytical Tools, Business Analytics, Computational Data Analytics).
Analytical Tools Track Requirements
CSE 6040 Computing for Data Analysis (can be replaced by an elective if you have sufficient background)
ISyE 6501 Introduction to Analytics Modeling (can be replaced by an elective if you have sufficient background)
MGT 8803 Introduction to Business for Analytics (can be replaced by an elective if you have sufficient background
CSE 6242 Data and Visual Analytics
MGT 6203 Data Analytics in Business
Five (5) statistics/operations research electives, including at least one in each area
CSE/ISyE/MGT 6748 Applied Analytics Practicum (could include approved applied analytics internship)
Business Analytics Track Requirements
CSE 6040 Computing for Data Analysis (can be replaced by an elective if you have sufficient background)
ISyE 6501 Introduction to Analytics Modeling (can be replaced by an elective if you have sufficient background)
MGT 8803 Introduction to Business for Analytics (can be replaced by an elective if you have sufficient background
CSE 6242 Data and Visual Analytics
At least three (3) business analytics courses beyond the introductory core, including MGT 6203 Data Analytics in Business
Two statistics electives and one operations research elective
CSE/ISyE/MGT 6748 Applied Analytics Practicum (could include approved applied analytics internship)
Computational Data Analytics Track Requirements
CSE 6040 Computing for Data Analysis (can be replaced by an elective if you have sufficient background)
ISyE 6501 Introduction to Analytics Modeling (can be replaced by an elective if you have sufficient background)
MGT 8803 Introduction to Business for Analytics (can be replaced by an elective if you have sufficient background)
MGT 6203 Data Analytics in Business
At least three (3) computing courses beyond the introductory core, including CSE 6242 Data and Visual Analytics (can also include CSE/ISyE Computational Data Analysis (Machine Learning), which must be taken as a computing elective or as a statistics elective)
Two statistics courses (can include CSE/ISyE 6740 Computational Data Analysis (Machine Learning)) and one operations research course
CSE/ISyE/MGT 6748 Applied Analytics Practicum (could include approved applied analytics internship)
