Data Science
The Data Science minor program will provide foundational and applied knowledge about data science and its uses. First, you’ll learn the concept of data mining and the methods of knowing, preprocessing, processing and warehousing data. Then, by examining ethical considerations, you’ll assess collection, storage, use and analysis of data. This minor is intended for game design, IT, cybersecurity, healthcare, CJ, or engineering majors who want to incorporate data science into their college experience.
* 9 credits of minor coursework must be at the upper-division level
MINOR REQUIREMENTS
| Prefix | Course Name | Credits |
|---|---|---|
| DATA 155 | Survey of Data Science | 3 |
| DATA 230 | Applied Data Science - R Programming | 3 |
| DATA 315 | Data Mining & Machine Learning | 3 |
| DATA 321 | Big Data Fundamentals | 3 |
| DATA 415 | Ethics in Data Science | 3 |
SELECT ONE COURSE
Students must choose one for a total of three credit hours.
| Prefix | Course Name | Credits |
|---|---|---|
| DATA 320 | Data Security and Privacy | 3 |
| DATA 421 | Deep Learning | 3 |
Mehdi Ghayoumi, Ph.D.
Data Science Minor Coordinator
Assistant Professor of Cybersecurity
Dana Hall 219
315-386-7985
ghayoumi@canton.edu