# Data Science

## CSCI-4350

Data science is advancing the inductive conduct of science and is driven by the greater volumes, complexity, and heterogeneity of data being made available over the Internet. It combines aspects of data management, library science, computer science, and physical science. It is changing the way all of these disciplines do both their individual and collaborative work. Key methodologies in application areas based on real research experience are taught.

3 credits
Cross-listed with:
CSCI-6350 Data Science ERTH-4350 Data Science ERTH-6350 Data Science ITWS-4350 Data Science ITWS-6350 Data Science
Prereqs:
CSCI-1200 Data Structures
and
CSCI-4380 Database Systems

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Simple View
Detailed View

| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |
2025 |  |  |
2024 |  |  | Data Science (3c) Ahmed Mohamed Morad Mohamed Maher Eleish Seats Taken: 15/10
2023 |  |  | Data Science (3c) Thilanka Munasinghe Seats Taken: 12/10
2022 |  |  | Data Science (3c) Thilanka Munasinghe Seats Taken: 24/10
2021 |  |  | Data Science (3c) Thilanka Munasinghe Seats Taken: 14/10
2020 |  |  | Data Science (3c) Thilanka Munasinghe Seats Taken: 14/10
2019 |  |  | Data Science (3c) Thilanka Munasinghe Seats Taken: 11/13
2018 |  |  | Data Science (3c) Thilanka Munasinghe Seats Taken: 16/0
2017 |  |  | Data Science (3c) Peter A Fox Seats Taken: 8/0
2016 |  |  | Data Science (3c) Linda Kramarchyk Peter A Fox Gregory N. Hughes Seats Taken: 10/0
2015 |  |  | Data Science (3c) Thomas Neil Hughes Seats Taken: 3/0
2014 |  |  | Data Science (3c) Peter A Fox Seats Taken: 5/0
2013 |  |  |
2012 |  |  |
2011 |  |  |
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1998 |  |  |