Student Learning Outcomes (SLOs) define the fundamental student learning competencies for our programs. SLOs focus on learning outcomes (content mastery, skills) that students should know or be able to demonstrate upon completion of a program. SLOs are a measurable statement of the knowledge, skills, attitudes, and habits of mind that students acquire as a result of the learning experience.

Computer Science, B.S. (ABET accreditation information)

Cybersecurity, B.S. (ABET accreditation information)

Information Systems, B.S. (ABET accreditation information)

Information Technology, B.S. (ABET accreditation information)

Applied Computer Science, M.S.

Program Educational Objectives:

1. Adapt to changing technologies.
2. Identify a computing problem.
3. Apply new technical knowledge to solve a computing problem.
4. Design a solution to a computing problem.

Program Outcomes:

1. Communicate effectively for multiple purposes and audiences.
2. Stay current in the computing field by adapting to evolving technology and tools.
3. Analyze, design, implement and evaluate solutions to computing problems.

Cybersecurity, M.S.

Program Educational Objectives:

1. Develop students’ fundamental computing and cybersecurity skills.
2. Reinforce those skills through theoretical and hands-on applications to realistic Cybersecurity problems.
3. Teach students to identify Cybersecurity risks and threats.
4. Cultivate the practices of critical thinking, decision-making, ethical reasoning and clear communication.

Program Outcomes:

1. Apply new technical knowledge to solve a computing problem.
2. Adapt to changing technologies.
3. Identify a computing problem.
4. Design a solution to a computing problem.
5. Apply security principles and practices to maintain operations in the presence of risks and threats.

Data Science and Analytics, M.S.

Program Educational Objectives:

1. Develop students’s fundamental computing and statistical data science skills.
2. Reinforce those skills by having students apply them on large and complex, interdisciplinary data sets.
3. Teach students to effectively interpret the analysis into understandable and actionable conclusions.
4. Cultivate the practices of critical thinking, decision-making, ethical reasoning and clear communication.

Program Outcomes:

1. Write computer programs to accomplish data science task.
2. Organize and analyze large data sets using statistical methods.
3. Interpret analysis and create clear explanatory presentations.
4. Display critical thinking and ethical reasoning in a professional setting.

Health Informatics and Bio-Informatics, M.S.

Outcomes and Objectives