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Data Science - Camden County College

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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Program Details
Area of Interest:
Degree/Certificate:
Code Course Credits
First Year / First Semester
ENG-101 English Composition I 1 3
DSC-101 Data Science I 3
CSC-106 Data Security, Privacy and Ethics 3
MTH-171 Statistics 3
MTH-140 Calculus I 4
    16
Second Semester
ENG-102 English Composition II 2 3
CSC-171 Introductory Python Programming 3
DSC-102 Data Science II 3 3
MTH-150 Calculus II 4 4
MTH-172 Statistics II 5 3
    16
Code Course Credits
Second Year / First Semester
MTH-261 Introduction to Mathematical Modeling 6 3
CSC-272 Data Science Programming Applications 7 3
ECO-101 Macroeconomics 3
DSC-203 Data Science III 8 3
ELECTIVE Diversity-Humanities General Education Elective 3
    15
Second Semester
DSC-230 Statistical and Machine Learning 9 3
DSC-250 Data Visualization and Presentation 10 3
DSC-280 Data in Context-A Capstone Experience 11 3
MTH-262 Probabilistic Models 4
    13
  Total Minimum Credits 60
1Must test into ENG-101 or take all appropriate prerequisites
2Prerequisite: ENG-101
3Prerequisite: DSC-101
4Prerequisite: MTH-140
5Prerequisite: MTH-171
6Prerequisite: MTH-150
7Prerequisite: CSC-171 or CSC-121
8Prerequisite: DSC-102, MTH-172
9Prerequisite: CSC-272, DSC-203
10Prerequisite: DSC-203
11Prerequisite: DSC-203; Co-requisites: DSC-230, DSC-250

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

Anita Wright, Assistant Professor
(856) 227-7200, ext. 4760
Email: awright@camdencc.edu

Additional information

CIP Code

30.7001
Program Code

DSC.AAS

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