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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 Technology at ºÚÁÏÉç 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 ºÚÁÏÉç’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.

According to the U.S. Bureau of Labor Statistics (2020), there is a projected growth of 7 percent for careers related to data analytics from 2019 to 2029, faster than the average for all occupations. "Projected growth will be due to increased demand for data analytical skills in financial and healthcare settings" (U.S. Bureau of Labor Statistics, 2020).

Program Competencies

Students completing the Data Analyst A.S. program will be able to:

Oral Communication

• 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.

Written Communication

• 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.

Disciplined Inquiry

• Recognize business and organization data analytical problems.

• Describe data analytical findings to technical and non-technical personnel.

Information Literacy

• Evaluate appropriate informational resources that will validate data methods to respond to business challenges.

Ethics

• Recognize data analytics ethical principles and privacy procedures to organizations' data.

Experiential Learning

The Office of Experiential Learning takes a 360â—¦ approach to experiential learning.  Whether you come to ºÚÁÏÉç with a vast amount of professional experience and are awarded Credit for Prior Learning (CPL), or you participate in a Work-Integrated Learning (WIL) opportunity (Internships or Cooperative Education) embedded in your curriculum for credit, we provide a pathway to completing your degree.

Data Analytics A.S. Curriculum

General Education Requirements (30 credits)

Integrating Excel into Business Problem Solving

Fundamentals of Economics

English Composition I

English Composition II

Public Speaking

Contemporary Global Issues

Introductory Survey of Mathematics

Introduction to Critical Thinking

Introduction to Psychology

Natural Science Elective

Free Electives (12 credits)

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

Data Analytics A.S. Core (18 credits)

Statistics for Data Analysis

Python for Data Science

Database Foundations

Data Analysis Storytelling

Data Visualization

Ethics for AI and Data Analytics

This information applies to students who enter this degree program during the 2024-2025 Academic Year. If you entered this degree program before the Fall 2023 semester, please refer to the academic catalog for the year you began your degree program.