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 Wilmington University provides an opportunity for students to earn a two-year Data Analytics Associate's 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's Degree program in Data Analytics prepares students for a variety of job opportunities such as Business analyst, Business intelligence analyst, Data analyst, Data technician, 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
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 360◦ approach to experiential learning. Whether you come to Wilmington University 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)
| CTA 326 | Integrating Excel into Business Problem Solving | 3 |
| ECO 105 | Fundamentals of Economics | 3 |
| ENG 121 | English Composition I | 3 |
| ENG 122 | English Composition II | 3 |
| ENG 131 | Public Speaking | 3 |
| HIS 381 | Contemporary Global Issues | 3 |
| MAT 205 | Introductory Survey of Mathematics | 3 |
| PHI 100 | Introduction to Critical Thinking | 3 |
| PSY 101 | Introduction to Psychology | 3 |
| Natural Science Elective | 3 or 4 credits |
Data Analytics A.S. Core (18 credits)
| BBA 430 | Big Data and Visualization | 3 |
| CSC 345 | Database Foundations | 3 |
| CSC 402 | Data Analysis Storytelling | 3 |
| CSC 407 | Data Analysis for Organizations | 3 |
| CSC 414 | Ethics for AI and Data Analytics | 3 |
| CSC 419 | Python for Data Science | 3 |
Free Electives (12 credits)
Students with less than 16 transfer credits are required to take FYE 101 as an elective.