NBA 6070

NBA 6070

Course information provided by the 2026-2027 Catalog.

This course will help students to gain the necessary skills of building a data product and using AI (artificial intelligence). Many industries today are faced with high data volumes and there is an understanding that data is the new gold. Business or customer value is not created by data; but rather, it is created by the application of data, ML (machine learning) and deep learning AI. This course trains students to link the possibilities of data and AI to business needs. This course will be held over seven class sessions of double-period length. These classes will be a combination of lectures, discussions, interviews, hands on training with data and AI and peer reviews. At the end of this course students will build their own AI driven product. (MHA-EL)


Enrollment Information Enrollment limited to: Master of Business Administration (MBA) and graduate students.

Last 4 Terms Offered 2026SP, 2025SP, 2024SP, 2023SP

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 1.5 Credits GradeNoAud

  • 15129 NBA 6070   LEC 001

    • SSu
    • Feb 6 - Feb 7, 2027
    • Finger, L

    • SSu
    • Feb 27 - Feb 28, 2027
    • Finger, L

    • SSu
    • Mar 13 - Mar 14, 2027
    • Finger, L

  • Instruction Mode: In Person

    Master of Business Administration (MBA) students have priority during pre-enrollment. **Attendance required at all sessions** Add/Drop deadline: February 3, 2027. If you drop after the 1st class meeting, you will receive a "W" on your transcript.

Syllabi: none
  •   Regular Academic Session. 

  • 1.5 Credits GradeNoAud

  • 15130 NBA 6070   LEC 002

    • SSu
    • Feb 6 - Feb 7, 2027
    • Finger, L

    • SSu
    • Feb 27 - Feb 28, 2027
    • Finger, L

    • SSu
    • Mar 13 - Mar 14, 2027
    • Finger, L

  • Instruction Mode: In Person

    Master of Business Administration (MBA) students have priority during pre-enrollment. **Attendance required at all sessions** Add/Drop deadline: February 3, 2027. If you drop after the 1st class meeting, you will receive a "W" on your transcript.