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Data Analytics, Associate of Science

Program Purpose

Data analytics is among the fastest-growing professions of our time and this 100% online Data Analytics associate degree is designed to provide students with the well-rounded data analytics skills they need. Whether you’re gathering data or analyzing it to make recommendations, you’ll benefit from the core analytics principles, including how to manipulate, query large data sets, and provide data storytelling. This degree will provide the foundational knowledge students need to help launch their career as a data analyst.

The College of Sciences and Engineering at Wilmington University provides an opportunity for students to earn a two-year Data Analytics associate degree that is an essential core to the computer science baccalaureate program. Students who complete the AS in Data Analytics will also complete and qualify for the Wilmington University’s Data Analytics Certificate.

The Associate Degree program in Data Analytics prepares students for a variety of job opportunities such as Business analyst, Business intelligence analyst, Data analyst, Data technician, and Operations analyst. Students will gain experience and training in Power BI, Tableau, SQL Database, Microsoft Excel, and Python that will help them in their preparation for job opportunities. 

Program Competencies

Students completing the AS Data Analytics program will be able to:

  1. Appraise the needs of the audience and then speak in a clear and succinct manner.  Research, construct, and deliver professional presentations using a variety of communication tools and techniques.
  2. Write with clarity and precision using correct English grammar: mechanics and usage.  Correctly and ethically exhibit competence in writing for specific purposes, diverse audiences, and genres.
  3. Recognize business and organization data analytical problems.
  4. Describe data analytical findings to technical and non-technical personnel.
  5. Evaluate appropriate informational resources that will validate data methods to respond to business challenges.
  6. Recognize data analytics ethical principles and privacy procedures to organizations' data.

Curriculum

General Education Requirements (30 credits)

CTA 326 Integrating Excel into Business Problem Solving

ECO 105 Fundamentals of Economics

ENG 121 English Composition I

ENG 122 English Composition II

ENG 131 Public Speaking

HIS 381 Contemporary Global Issues

MAT 205 Introductory Survey of Mathematics

PHI 100 Introduction to Critical Thinking

PSY 101 Introduction to Psychology

Natural Science Elective

Data Analytics Core (27 credits)

MAT 312 Business Statistics

CSC 419 Python for Data Science

CSC 345 Database Foundations

BBA 430 Data Visualization

CSC 414 Ethics for Computer Science

CSC 400 System Analysis and Design

CSC 395 Intro to Data Science

CSC 403 Predictive Analytics and Data Mining

ISM 420 Data Modeling and Warehousing

Note:  Data Analytics core courses should be taken in the order listed above. 

Free Electives (3 credits)

Students with less than 16 transfer credits are required to take FYE 101 as an elective.

Free Elective

This information applies to students who enter this degree program during the 2026-2027 Academic Year. If you entered this degree program before the Fall 202 semester, please refer to the academic catalog for the year you began your degree program.