Data Science and Analytics

Catalog 2023-2024

Associate in Science Degree

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.

SEMESTER 1

CSC-106

Intermediate PC Applications with Programming
3

DSA-110

Introduction to Data Science and Analytics
3

MAT-129

Precalculus
4

ENG-121

English Composition I
3

SEMESTER 2

DSA-120

Foundations of Data Collection and Cleansing
3

MAT-131

Analytic Geometry and Calculus I
4

CSC-239

Database Concepts
3

ENG-122

English Composition II
3

__ __

General Education Science Elective
3

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

SEMESTER 3

DSA-210

Foundations of Data Analytics
4

DSA-220

Big Data Fundamentals
4

MAT-285

Basic Statistics for Business
4

__ __

GE Social Science Elective
3

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

SEMESTER 4

DSA-230

Data Visualization
3

DSA-240

Introduction to Machine Learning
3

MAT-210

Linear Algebra
4

__ __

GE Social Science Elective
3

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

__ __

GE Humanities Elective
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: Mirian Curry, Acting Chairperson
Contact Phone: 732.906.2526
Contact Email: BusinessAndCompSci@middlesexcc.edu
Department Websites:
Business Programs:   https://www.middlesexcollege.edu/academics/business-and-professional-studies/
Computer Science Programs: https://www.middlesexcollege.edu/academics/computer-science/