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Data Science and Analytics

Program Codes: DSA,AS
Associate in Science Degree

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The Data Science and Analytics A.S. provides students with a rigorous education in the fields of data science and data analytics with an emphasis on real-world applications. The integration of data science and analytics, combined with a foundation in computer science and mathematics, prepares students to identify data sources and to develop the algorithms and models for extracting, cleansing, analyzing, interpreting, presenting, and communicating results.

Graduates will have the necessary knowledge, skills, and professional guidance for transfer and further specialization in a related Bachelor’s degree or for entry-level jobs and careers in areas including Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst.

Program Outcomes:

  • Identify data needed to evaluate business opportunities.
  • Effectively collect, clean, and prepare data from various sources for analysis.
  • Demonstrate the ability to use computer software relevant to data science and data analytics.
  • Apply mathematical tools to identify, analyze, and summarize patterns and relationships in data sets.
  • Differentiate data patterns and relationships using data visualization techniques to effectively communicate findings and recommendations.
Program Requirements:

Below are required courses and recommended course groupings and sequences for program completion. Courses may have prerequisite and corequisite requirements. Check course descriptions for details.

Contact the Department Chairperson

SEMESTER 1

SEMESTER 2

3

Select a 3-credit course designated in the course descriptions as General Education Science Elective (GE MST).

SEMESTER 3

3

Select a course designated in the course descriptions as General Education Social Science (GE SS).

SEMESTER 4

3

Select a course designated in the course descriptions as General Education Social Science (GE SS).

3

Select a course designated in the course descriptions as General Education Humanities (GE HUM).

Total Credits 60

Contact Information

Business and Computer Science

Contact Name: Aslihan Cakmak, Chairperson
Contact Phone: 732.906.2526
Contact Email: BusinessAndCompSci@middlesexcc.edu
Department Web: https://www.middlesexcc.edu/business-and-computer-science


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