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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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Program Details
Meta Major: ,
Degree/Certificate:
Code Course Credits
First Year / First Semester
ENG-101 English Composition I 1 3
DSC-101 Data Science I2 3
CSC-106 Data Security, Privacy and Ethics 3
MTH-171 Statistics3 3
MTH-140 Calculus I4 4
    16
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 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 Models15 4
    13
  Total Minimum Credits 60
1Must test into ENG-101 or take all appropriate prerequisites
2Prerequisite: ENG-013 AND ENG-023 OR ENG-046 AND MTH-124 OR MTH-125
3Prerequisite: MTH-114 OR MTH-123 OR MTH-125 AND ENG-013
4Prerequisite: MTH-124 or MTH-125
5Prerequisite: ENG-101
6Prerequisite: DSC-101, CSC-106; Co-requisite: CSC-171
7Prerequisite: MTH-140
8Prerequisite: MTH-171
9Prerequisite: MTH-150
10Prerequisite: CSC-171 OR CSC-121
11Prerequisite: DSC-102, MTH-172
12Prerequisite: CSC-272, DSC-203
13Prerequisite: DSC-203
14Prerequisite: DSC-203; Co-requisites: DSC-230, DSC-250
15Prerequisite: 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

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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