Humanities/social science elective (third of three) Credits: 3
MANGT 880 Business Strategy Credits: 3
Technical electives (third and fourth of five) Credits: 6
Fifth Spring semester (15 credit hours)
Technical elective (fifth of five) Credits: 3
MANGT 860 Managing the Triple Bottom Line Business Credits: 3
GENBA 890 Business Capstone or
GENBA 897 MBA Internship Credits: 3
Unrestricted elective Credits: 3
Math/science elective (fifth of five) Credits: 3
A grade of C or better is required for all graded courses listed by specific course number above.
All students new to the CS department must complete CIS 015.
Math/science electives must be taken for undergraduate credit and have departmental approval.
Humanities/social science electives must be taken for undergraduate credit from the list approved by the College of Engineering.
Communications Elective Credits: (3) The Communications Elective must be chosen from:
COMM 322 – Interpersonal Communication Credits: 3
COMM 323 – Nonverbal Communication Credits: 3
COMM 326 – Small Group Discussion Methods Credits: 3
MANGT 420 – Principles of Management Credits: 3
THTRE 261 – Fundamentals of Acting Credits: 3
THTRE 265 – Fundamentals of Improvisation I, II Credits: 3
Admission to MBA program
A student can apply to the graduate school and be admitted to the MBA program upon earning a >= 3.000 GPA in at least 80 credit hours of their undergraduate degree.
Technical electives must be comprised of the following:
C or better in either CIS 520-Operating Systems I, CIS 525-Introduction to Networking Programming, or CIS 625-Concurrent Software Systems.
C or better in either CIS 598-Computer Science Project or CIS 642-Software Engineering Project I. Students taking CIS 642 must take it for undergraduate credit and take CIS 643-Software Engineering Project II the following semester as an unrestricted elective.
Three courses taken for graduate credit from the following list:
CIS 731 Programming Techniques for Data Science and Analytics
CIS 732 Machine Learning and Pattern Recognition
MIS 670 Social Media Analytics and Web Mining
At most one of:
MIS 665 Business Analytics and Data Mining
MKTG 880 Applied Marketing Analytics
MKTG 881 Advanced Marketing Analytics
4. Other Data Analytics courses, including special topics courses, approved by both the Department of Computer Science and the College of Business Administration.