Associate in Applied Science

Software Development Business and Data Analytics

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Plan Code
COPSTAPT
Career Pathway
Science, Technology, Engineering and Math (STEM)
Program

Software Development

CIP Code
11.0201
Program Learning Outcomes
  • Write application software that makes efficient and secure use of operating system services
  • Develop an information system using accepted software development processes
  • Produce user applications using a specialized technology that builds upon fundamental software development practices
  • Apply principles of human-computer interaction in the design of computer interfaces
  • Analyze a problem and identify the appropriate data, hardware components and/or software requirements to develop a feasible solution
  • Use current tools and practices that support the software documentation process
  • Document system requirements and/or developing materials for clients in the proper use of hardware or software
  • Work cooperatively and effectively in teams to accomplish a shared goal
  • Analyze local and global information technology (IT) trends, while recognizing the influences of IT on cultural, economic, ethical, and legal issues and responsibilities
  • Support the management of information systems
  • Use industry standard digital media/multimedia hardware and software
Program Description
  • 6 quarter AAS
  • Maximum class size: 20
  • Student to teacher ratio: 20:1
  • Enrollment point: Fall, Spring
  • This program is hybrid. See course descriptions for more information.
  • In this program, students will use a variety of computer software to include Visual studio, SQL Server, Eclipse and Tableau.
  • Students need to have access to a computer and internet connectivity.

Choose 1 of the 50-Credit Specialization Tracks

General Education Requirements

The Artificial Intelligence Track requires one more 5-credit course from any of the three areas.

Note: See a Career Advisor prior to choosing courses that meet general education requirements.

Required Courses
Course Code
Title
Credits
5
Sub-Total Credits
20
Course Code
Title
Credits
5
Sub-Total Credits
20

Data Analytics Track

Course Code
Title
Credits
5
Sub-Total Credits
20

Software Development Track

Course Code
Title
Credits
5
Sub-Total Credits
20

Artificial Intelligence Track

Course Code
Title
Credits
5
Sub-Total Credits
20
Course Code
Title
Credits
5
Sub-Total Credits
15
Total Credits
90