The doctoral certificate in Applied Computer Science (ACS) prepares students with the knowledge and acumen required to attain roles as senior directors and executives, leading functional computer science, software, information systems, and technology business-related divisions and/or units. The ACS curriculum is designed to enable technology administrators to lead enterprise-wide initiatives in software engineering and computer science that incorporate relevant, current, and emerging technologies for the purpose of sustaining competitive advantage, while expanding and adapting new computer science and industry standards, frameworks, and best practices.
Program Learning Outcomes
- Develop effective presentation of applied computer science, research, and recommendations through written forms of communication with specificity and appropriate to the intended audiences (Written Communication).
- Develop effective presentation of applied computer science, research, and recommendations through oral communication of conventions and forms with specificity and appropriate to the intended audience (Oral Communication).
- Critique how a broader understanding of cultural differences, through the lens of applied computer science, results in personal competencies that positively impact business strategies (Diversity).
- Formulate how transformational leadership can improve the implementation of business objectives, regarding applied computer science, no matter the location of the business (Team).
- Evaluate how the relationship between vision and tactics can result in meaningful and successful strategies in a complex business environment through the lens of applied computer science (Critical Thinking and Problem Solving).
- Judge and measure how the internal and external criteria, regarding applied computer science, for an organization may be used to maximize both efficiency and effectiveness of a business operation (Ethics).
- Evaluate the essence of applied computer science in existing literature to produce new, meaningful ideas that have practical application (Research).
Course Requirements (13 Credit Hours)
|DATA 801 BI, Analytics, & Decision Support||3 credit hours|
|TECH 830 Enterprise Software Engineering Concepts||3 credit hours|
|TECH 831 Security in Software Design & Development||3 credit hours|
|TECH 832 Human-Computer Interaction (HCI) Design & Intelligent User Interfaces (IUI)||3 credit hours|
|INT 701 Doctoral Internship||1 credit hours|