BAN5600
ADV BIG DATA COMP & PROG
- Department
- Business Analytics
- Terms offered
- 12
- Data refreshed
- Jun 30, 2026
Description
The astounding growth of data in all aspects of life in the form of emails, weblogs, tweets, sensors, videos, and text has necessitated the use of Big Data and advanced analytics techniques to support large-scale data analytics. The goal of this course is to enable students to design and build Big Data applications through highly scalable systems capable of collecting, processing, storing, and analyzing large volumes of structured and unstructured data. By extending the Cross-Industry Standard Process for Data Mining (CRISP-DM) to build Big Data applications using distributed and parallel computing architecture, this course brings together key Big Data tools on Hadoop Ecosystem (such as Pig, Hive, Flume, Sqoop, and Spark). Students will learn how to efficiently manage and analyze data with three main characteristics: high volume, high velocity, and high variety. Topics include the Hadoop Ecosystem platforms such as Hortonworks Sandbox, Amazon AWS, and Databricks; and advanced analytics techniques such as Visualization, Natural Language Processing, and streaming analytics. MSF students can take this as an elective with professor permission.
Syllabi
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Offerings and forecast 2020–2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: 66% chance, medium confidence. Offered in every fall term since 2020. Department course count rising about 10% per year. | 2030 Spring: 50% chance, low confidence. Offered in every spring term since 2022. Department faculty is about 22% below its recent average. | 2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018. | 2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020. |
| 2029 | 2029 Fall: 69% chance, medium confidence. Offered in every fall term since 2020. Department course count rising about 8% per year. | 2029 Spring: 59% chance, low confidence. Offered in every spring term since 2022. Department course count rising about 5% per year. Department faculty is about 19% below its recent average. | 2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017. | 2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2028 | 2028 Fall: 73% chance, medium confidence. Offered in every fall term since 2020. Department course count rising about 7% per year. | 2028 Spring: 63% chance, low confidence. Offered in every spring term since 2022. Department course count rising about 5% per year. Department faculty is about 19% below its recent average. | 2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016. | 2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2027 | 2027 Fall: 76% chance, medium confidence. Offered in every fall term since 2020. Section count rising about 1% per year over 4 terms. Department course count rising about 7% per year. | 2027 Spring: 66% chance, low confidence. Offered in every spring term since 2022. Department course count rising about 5% per year. Department faculty is about 19% below its recent average. | 2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015. | 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2026 | 1 section | 1 section | Not offered | No data |
| 2025 | 1 section | 1 section | Not offered | Not offered |
| 2024 | 1 section | 1 section | Not offered | Not offered |
| 2023 | 2 sections | 1 section | Not offered | Not offered |
| 2022 | 1 section | 1 section | Not offered | Not offered |
| 2021 | 1 section | Not offered | Not offered | Not offered |
| 2020 | 2 sections | Not offered | Not offered | Not offered |
Meeting times
Recent first- Wed, 6:00 PM–9:00 PM Carlson Hall CH128 20262025
- Tue, 2:50 PM–5:50 PM JC105 2026
- Thu, 2:50 PM–5:50 PM JC118 2025
- Mon, Wed, 7:20 PM–8:35 PM Carlson Hall CH128 2022
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Fall 2026 | Hamidreza Ahady Dolatsara | Lecture | 1 | 13 of 30 enrolled | 22672 |
| Spring 2026 | Jin Fang | Lecture | 1 | 17 of 30 enrolled | 31780 |
| Fall 2025 | Hamidreza Ahady Dolatsara | Lecture | 1 | 21 of 30 enrolled | 22672 |
| Spring 2025 | Jin Fang | Lecture | 1 | 22 of 32 enrolled | 31780 |
| Fall 2024 | Hamidreza Ahady Dolatsara | Lecture | 1 | 38 of 40 enrolled | 22672 |
| Spring 2024 | Hamidreza Ahady Dolatsara | Lecture | 1 | 23 of 32 enrolled | 31780 |
| Fall 2023 | Jin Fang | Lecture | 1 | 18 of 30 enrolled | 21055 |
| Fall 2023 | Jin Fang | Lecture | 1 | 29 of 30 enrolled | 22672 |
| Spring 2023 | Hamidreza Ahady Dolatsara | Lecture | 1 | 24 of 30 enrolled | 31780 |
| Fall 2022 | Hamidreza Ahady Dolatsara | Lecture | 1 | 34 of 32 enrolled | 21055 |
| Spring 2022 | Hamidreza Ahady Dolatsara | Lecture | 1 | 16 of 30 enrolled | 31780 |
| Fall 2021 | Hamidreza Ahady Dolatsara | Lecture | 1 | 23 of 30 enrolled | 28164 |
| Fall 2020 | Hamidreza Ahady Dolatsara | Lecture | 1 | 21 of 30 enrolled | 28164 |
| Fall 2020 | Hamidreza Ahady Dolatsara | Lecture | 1 | 29 of 30 enrolled | 28165 |