Temple University College of Science and Technology 28 courses 30 total credits
Data science is a multifaceted, interdisciplinary field that employs techniques and theories drawn from the broad areas of computer and information science, mathematics and statistics, and applies them to a wide range of data-rich domains such as biomedical science, business, education, engineering, geoscience, physical science and social science. The MS in Computational Data Science is designed for students interested in developing expertise in data science with a specialization in computational analytics. The goal is to enable students to analyze large quantities of data to discover new knowledge and facilitate decision-making. To accomplish this, the program provides students with a strong foundation in big data management and analysis; algorithmic, computational and statistical thinking; and an understanding of computer systems.
| Total Credits | 30 credits |
Courses Listed Under Admission Requirements
Core Courses
| Code | Course Title | Credits |
|---|---|---|
| CIS 5511 | Programming Techniques | 3 |
| CIS 5515 | Design and Analysis of Algorithms | 3 |
| CIS 5526 | Machine Learning | 3 |
| CIS 5512 | Operating Systems | 3 |
| CIS 5516 | Principles of Data Management | 3 |
| CIS 5642 | Computer Architecture | 3 |
Electives
Capstone Course
| Code | Course Title | Credits |
|---|---|---|
| CIS 9995 or CIS 9996 | Capstone Project or Master's Thesis Research | 1-6 |
Graduate Courses Approved to Count for Both Undergraduate and Graduate Degrees
| Code | Course Title | Credits |
|---|---|---|
| CIS 5511 | Programming Techniques | 3 |
| CIS 5512 | Operating Systems | 3 |
| CIS 5515 | Design and Analysis of Algorithms | 3 |
| CIS 5516 | Principles of Data Management | 3 |
| CIS 5526 | Machine Learning | 3 |
| CIS 5642 | Computer Architecture | 3 |
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