Overview
Data Science is an interdisciplinary field of study about methods and systems to extract knowledge or insights from large quantities of data coming in various forms. Offered by the Department of Computer and Information Sciences, the Minor in Data Science: Computational Analytics is designed for students interested in developing expertise in data science, with specialization in computational analytics.
Campus Location: Main
Undergraduate Contact Information
Jamie Payton, Chair
Science Education and Research Center, Room 304
215-204-8450
Gene Kwatny, Vice Chair
Science Education and Research Center, Room 304
215-204-8450
Andrew Rosen, Faculty Advisor
Science Education and Research Center, Room 349
215-204-3193
andrew.rosen@temple.edu
Minor Requirements
Prerequisites
Students desiring a Minor in Data Science: Computational Analytics must have already completed the following or have equivalent industry experience:
| Code | Title | Credit Hours |
|---|---|---|
| CIS 1068 | Program Design and Abstraction | 4 |
| or CIS 1968 | Honors Program Design and Abstraction | |
| CIS 1166 | Mathematical Concepts in Computing I | 4 |
| or CIS 1966 | Honors Mathematical Concepts in Computing I | |
| MATH 1041 | Calculus I | 4 |
| or MATH 1941 | Honors Calculus I | |
| MATH 1042 | Calculus II | 4 |
| or MATH 1942 | Honors Calculus II | |
| MATH 2043 | Calculus III | 4 |
| or MATH 2943 | Honors Calculus III | |
| Total Credit Hours | 20 | |
Required Courses
Students desiring a Minor in Data Science: Computational Analytics must complete the following courses:
| Code | Title | Credit Hours |
|---|---|---|
| Select one of the following: | 3-4 | |
| Computational Probability and Statistics | ||
| Probability Theory I | ||
| Statistical Business Analytics | ||
| Biostatistics (F) | ||
| Select one of the following: | 3-4 | |
| Mathematical Concepts in Computing II | ||
| Differential Equations with Linear Algebra | ||
| Linear Algebra | ||
| Linear Algebra with Computer Lab (F) | ||
| CIS 2168 | Data Structures | 4 |
| CIS 3715 | Principles of Data Science (S) | 4 |
| CIS 4526 | Foundations of Machine Learning (F) | 3 |
| CIS 4517 | Data-Intensive and Cloud Computing (S) | 3 |
| Total Credit Hours | 20-22 | |
| Code | Title | Credit Hours |
|---|---|---|
| (F) - Fall only course | ||
| (S) - Spring only course | ||
Residency Requirements: At least 3 courses required for the minor must be completed at Temple. At least 3 CIS courses must be completed at Temple.