Curriculum Requirements for B.S. in Business Artificial Intelligence and Analytics

General Education

Foundations		Credits:
FCWR 101	Writing I: Foundations of College Composition	3
FCWR 151	Writing II: Foundations of Research Writing	3
FCWR 301	Communication for Business	3
		Total: 9 Credits

Data Literacy		Credits:
DATA 101	Making Sense of a Data-Oriented Society	3

Seminars (select courses from at least three of the four areas)		Credits:
ICBS 3XX	Behavioral Science choice	3
ICLT 3XX	Literature choice	3
ICPH 3XX	Philosophy choice	3
ICSS 3XX	Social Science choice	3
		Total: 12 Credits
Students must take four seminar courses from at least three different areas of study.

Math and Science Core		Credits:
MATH 125	Finite Mathematics	3
	Science choice	3
		Total: 6 Credits
Choose any course from PHYS, CHEM, or BIOL.

Major Requirements

Liberal Arts for Business		Credits:
ECON 202	Principles of Economics I	3
ECON 204	Principles of Economics II	3
QANT 201	Statistical Sampling Theory	3
MATH 151	Fundamentals of Calculus	3
	—OR—
MATH 161	Basic Applied Calculus	3
		Total: 12 Credits

Professional Development Series		Credits:
BUSI 111	Professional Development I	1
BUSI 212	Professional Development II	1
BUSI 313	Professional Development III	1
		Total: 3 Credits

Business Core		Credits:
ACCT 101	Accounting I	3
ACCT 110	Managerial Accounting	3
FINC 201	Corporation Finance	3
MIST 216	Information Systems	3
MGMT 102	Principles of Management	3
MRKT 102	Introduction to Marketing	3
MGMT 235	International Business	3
		Total: 21 Credits

Computer Science		Credits:
CSCI 202	Introduction to Computer Science and Artificial Intelligence	3

Quantitative Analysis		Credits:
QANT 300	Production And Operations Management	3
QANT 405	Management Science	3
		Total: 6 Credits

AI and Analytics		Credits:
BUSA 301	Data Management and Visualization for AI	3
BUSA 305	Python For Business Analytics	3
BUSA 310	Database Systems and Big Data Management	3
BUSA 315	AI-Enhanced Business Analytics	3
BUSA 325	Applied Statistical Modeling and Quantitative Analysis	3
FINC 422	AI Applications In Financial Services	3
MGMT 450	AI Strategy, Ethics and Business Implementation	3
MRKT 435	Marketing AI And Analytics	3
		Total: 24 Credits

Internship or Practicum (choose one)		Credits:
BUSA 425	Collaborative AI Analytics Practicum	3
MGMTE 390	Internship In Management	3
		Total: 3 Credits

Capstone Project		Credits:
BUSA 460	Advanced AI and Analytics Capstone Project	3

Science Choice		Credits:
	Any PHYS, CHEM, or BIOL course	3

Liberal Arts Electives		Credits:
	Choose electives with an academic advisor	12

Total Required Credits = 123