Digitized business processes and data analytics are essential to the performance and competitive advantage of a modern corporation. The course is intended to provide insight and an IT leadership perspective to the principles of data management, visualization, data mining and AI/machine learning can be applied to enterprise intelligence.
Sections offered by academic year and season, with estimated offering chances for future years above the divider
Year
Fall
Spring
Summer
Intersession
2030
23%2030 Fall: 23% chance, medium confidence. Offered in 5 of 9 fall terms since 2018. Department course count falling about 5% per year. Department faculty is about 50% below its recent average.
37%2030 Spring: 37% chance, medium confidence. Offered in 5 of 7 spring terms since 2020. Department faculty is about 36% below its recent average.
~19%2030 Summer: 19% chance, low confidence. Offered in 3 of 5 summer terms since 2022. Department course count falling about 48% per year. Department faculty is about 79% below its recent average.
13%2030 Intersession: 13% chance, medium confidence. Offered in 1 of 6 intersession terms since 2020.
2029
27%2029 Fall: 27% chance, medium confidence. Offered in 6 of 10 fall terms since 2017. Department course count falling about 3% per year. Department faculty is about 49% below its recent average.
39%2029 Spring: 39% chance, medium confidence. Offered in 5 of 7 spring terms since 2020. Department faculty is about 33% below its recent average.
~21%2029 Summer: 21% chance, low confidence. Offered in 3 of 5 summer terms since 2022. Department course count falling about 36% per year. Department faculty is about 79% below its recent average.
13%2029 Intersession: 13% chance, medium confidence. Offered in 1 of 6 intersession terms since 2020.
2028
29%2028 Fall: 29% chance, medium confidence. Offered in 6 of 10 fall terms since 2017. Department course count falling about 2% per year. Department faculty is about 47% below its recent average.
46%2028 Spring: 46% chance, medium confidence. Offered in 5 of 7 spring terms since 2020. Section count rising about 1% per year over 2 terms. Department course count rising about 2% per year. Department faculty is about 31% below its recent average.
~22%2028 Summer: 22% chance, low confidence. Offered in 3 of 5 summer terms since 2022. Department course count falling about 30% per year. Department faculty is about 80% below its recent average.
12%2028 Intersession: 12% chance, medium confidence. Offered in 1 of 6 intersession terms since 2020.
2027
36%2027 Fall: 36% chance, medium confidence. Offered in 6 of 10 fall terms since 2017. Section count rising about 1% per year over 2 terms. Department faculty is about 44% below its recent average.
49%2027 Spring: 49% chance, medium confidence. Offered in 5 of 7 spring terms since 2020. Section count rising about 1% per year over 3 terms. Department course count rising about 5% per year. Department faculty is about 28% below its recent average.
~24%2027 Summer: 24% chance, low confidence. Offered in 3 of 5 summer terms since 2022. Department course count falling about 24% per year. Department faculty is about 79% below its recent average.
12%2027 Intersession: 12% chance, medium confidence. Offered in 1 of 6 intersession terms since 2020.
2025
Not offered
22 sections
Not offered
Not offered
2024
33 sections
33 sections
11 section
Not offered
2023
66 sections
33 sections
11 section
Not offered
2022
44 sections
22 sections
11 section
Not offered
2021
22 sections
Not offered
Not offered
Not offered
2020
11 section
22 sections
Not offered
11 section
2019
Not offered
Not offered
Not offered
n/aNo data for this term
2018
Not offered
Not offered
Not offered
n/aNo data for this term
2017
11 section
Not offered
Not offered
Not offered
ForecastUnder 15%15–39%40–69%70–89%90%+Not enough history
Fall Spring Summer Intersession Darker means more sectionsNot offeredNo data for term
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a
cell for confidence and evidence; low-confidence estimates are marked with ~.