This program prepares students for a career in Data Science or Data Analytics. Activities/topics studied include data acquisition in both structured and unstructured formats; cleaning, modeling, visualization, and analysis of data, ethical responsibility; data security; and effective communication of informed tactical and strategic objectives. Students learn to identify patterns and relationships in large data sets and to resolve questions/problems via data driven decisions.
| Code | Course | Credits |
|---|---|---|
| First Year / First Semester | ||
| ENG-101 | English Composition I 1 | 3 |
| DSC-101 | Data Science I 2 | 3 |
| CSC-106 | Data Security, Privacy and Ethics | 3 |
| MTH-171 | Statistics 3 | 3 |
| MTH-140 | Calculus I 4 | 4 |
| 16 | ||
| First Year / Second Semester | ||
| ENG-102 | English Composition II 5 | 3 |
| CSC-171 | Introductory Python Programming | 3 |
| DSC-102 | Data Science II 6 | 3 |
| MTH-150 | Calculus II 7 | 4 |
| MTH-172 | Statistics II 8 | 3 |
| 16 | ||
| Code | Course | Credits |
|---|---|---|
| Second Year / First Semester | ||
| MTH-261 | Introduction to Mathematical Modeling 9 | 3 |
| CSC-272 | Data Science Programming Applications 10 | 3 |
| ECO-101 | Macroeconomics | 3 |
| DSC-203 | Data Science III 11 | 3 |
| ELECTIVE | Diversity-Humanities General Education Elective | 3 |
| 15 | ||
| Second Year / Second Semester | ||
| DSC-230 | Statistical and Machine Learning 12 | 3 |
| DSC-250 | Data Visualization and Presentation 13 | 3 |
| DSC-280 | Data in Context-A Capstone Experience 14 | 3 |
| MTH-262 | Probabilistic Models 15 | 4 |
| 13 | ||
| Total Minimum Credits | 60 | |
1 Must test into ENG-101 or take all appropriate prerequisites
2 Prerequisite: MTH-124 or MTH-125.
3 Must test into MTH-171 or take all appropriate prerequisites
4 Must test into MTH-140 or take all appropriate prerequisites
5 Prerequisite: ENG-101
6 Prerequisite: DSC-101, CSC-106; Co-requisite: CSC-171
7 Prerequisite: MTH-140
8 Prerequisite: MTH-171
2 Prerequisite: MTH-124 or MTH-125.
3 Must test into MTH-171 or take all appropriate prerequisites
4 Must test into MTH-140 or take all appropriate prerequisites
5 Prerequisite: ENG-101
6 Prerequisite: DSC-101, CSC-106; Co-requisite: CSC-171
7 Prerequisite: MTH-140
8 Prerequisite: MTH-171
9 Prerequisite: MTH-150
10 Prerequisite: CSC-171 and MTH-171
11 Prerequisite: DSC-102, MTH-172
12 Prerequisite: CSC-272, DSC-203
13 Prerequisite: DSC-203
14 Prerequisite: DSC-203; Co-requisites: DSC-230, DSC-250
15 Prerequisite: MTH-261
10 Prerequisite: CSC-171 and MTH-171
11 Prerequisite: DSC-102, MTH-172
12 Prerequisite: CSC-272, DSC-203
13 Prerequisite: DSC-203
14 Prerequisite: DSC-203; Co-requisites: DSC-230, DSC-250
15 Prerequisite: MTH-261
Program Student Learning Outcomes
At the end of the program, the graduate will be able to:
- Exhibit professionalism and adopt ethical decision-making principles for the analysis, management and presentation of data with an understanding of one’s responsibilities within a professional setting.
- Develop solid analytical reasoning, critical thinking and technical skills in order to extract, wrangle, analyze and present data for multiple disciplines to broad audiences that follow professional standards to enhance understanding and decision-making.
- Demonstrate the ability to work independently and as a member of a team with modern technical tools to accomplish data life cycle project goals and meet deadlines.
- Communicate technical knowledge effectively for a broad range of persons that include customers, managers, and peers.
Contact Person
Joseph Diaco, Chair
(856) 227-7200, ext. 4207
Email: jdiaco@camdencc.edu
Additional information
| CIP Code | 30.7001 |
|---|---|
| Program Code | DSC.AAS |
