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Camden County College

Camden County College

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Data Science

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.

 

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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
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

Program Student Learning Outcomes

At the end of the program, the graduate will be able to:

  1. 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.
  2. 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.
  3. 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.
  4. 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

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