MSDA3080
SPLUNK MACHINE LEARNING
- Department
- Master of Sci in Data Analytic
- Terms offered
- 2
- Data refreshed
- Jun 27, 2026
Description
Section information text: To be a successful business in the digital age, corporations must rely on predictive analytics to expose actionable insights to maintain a competitive advantage. Predictive Modelling and Machine Learning (subsets of Artificial Intelligence) can be leveraged to find hidden opportunities, predict future outcomes, and determine risk. In this course, students will leverage Splunk Enterprise to apply predictive analytics and machine learning techniques through analyzing data sets, predicting recommendations, and forecasting decisions based on patterns, frequency, and anomalies. Students will learn how to build a business use case and apply predictive analytics methodologies to tell a compelling story. This course focuses on the Splunk Enterprise Machine Learning Toolkit for Predictive Analytics. Students must have knowledge developing within Splunk Enterprise (Prerequisite: MSIT 3350 Data Mining with Splunk).
Syllabi
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Offering history & forecast 2020–2021
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: 13% chance, medium confidence. Offered in 1 of 6 fall terms since 2021. | 2030 Spring: 7% chance, medium confidence. Offered in 0 of 9 spring terms since 2018. | 2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018. | 2030 Intersession: 13% chance, medium confidence. Offered in 1 of 6 intersession terms since 2020. |
| 2029 | 2029 Fall: 12% chance, medium confidence. Offered in 1 of 6 fall terms since 2021. | 2029 Spring: 6% chance, medium confidence. Offered in 0 of 10 spring terms since 2017. | 2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017. | 2029 Intersession: 13% chance, medium confidence. Offered in 1 of 6 intersession terms since 2020. |
| 2028 | 2028 Fall: 12% chance, medium confidence. Offered in 1 of 6 fall terms since 2021. | 2028 Spring: 5% chance, medium confidence. Offered in 0 of 11 spring terms since 2016. | 2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016. | 2028 Intersession: 12% chance, medium confidence. Offered in 1 of 6 intersession terms since 2020. |
| 2027 | 2027 Fall: 12% chance, medium confidence. Offered in 1 of 6 fall terms since 2021. | 2027 Spring: 5% chance, high confidence. Offered in 0 of 12 spring terms since 2015. | 2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015. | 2027 Intersession: 12% chance, medium confidence. Offered in 1 of 6 intersession terms since 2020. |
| 2021 | 1 section | Not offered | Not offered | Not offered |
| 2020 | Not offered | Not offered | Not offered | 1 section |
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.
Meeting times
Most recent firstNo meeting times recorded for this course.
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Fall 2021 | Dean J. Cascione (He/Him) | Lecture | 1 | 1 of 20 enrolled | 28501 |
| Intersession 2020-21 | Dean J. Cascione (He/Him) | Online | 1 | 4 of 18 enrolled | 50069 |