BUDT737

Big Data and Artificial Intelligence for Business

Restriction: Must be in Business and Management (Master's) program; or permission of BMGT-Robert H Smith School of Business. Credit only granted for: BUDT758B or BUDT737. Formerly: BUDT758B. This course uses a learning-by-doing approach to understand key concepts behind Big Data and AI, the strategic drivers of these technologies and the value propositions that they provide to industry. The course cover technologies within this ecosystem including Hadoop, AWS, Pig, Hive, Amazon Web Services and Spark. Examples of AI using Deep Learning will be presented. The focus is on creating awareness of the technologies, providing some level of familiarity with them through hands-on exercises and projects, and enabling strategic thinking around the use of these technologies in business.

Spring 2026

4 reviews
Average rating: 4.00

Spring 2025

4 reviews
Average rating: 4.00

Past Semesters

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During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.60 between 666 students*

BUDT737 Grade Distribution+-051015202530354045505560657075% of studentsABCDFWother
A-: 34.68%
A: 31.38%
A+: 7.06%
B-: 3%
B: 7.36%
B+: 10.96%
C-: 0.45%
C: 1.05%
C+: 1.35%
F: 0.15%
W: 0.9%
other: 1.65%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.