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Fairbanks School of Public Health Student Learning Outcomes

Bachelor of Science in Public Health (BSPH)

Competencies

The BSPH major in Community Health will prepare students to work in entry-level positions in public health agencies, non-governmental organizations (NGOs), hospitals and health care centers, and other organizations focused on the health and well-being of groups of individuals. It also provides excellent preparation for the Master's in Public Health degree program. Students in the BSPH in Community Health program will be prepared to become Certified Health Education Specialists (CHES)."

Specific program outcomes include:

1. Recognize the social determinants of health that impact individuals and communities.

2. Explain and apply the principles of epidemiology, biostatistics, environmental health, health care systems, and health policy in public and community health.

3. Describe the historical role of public health nationally and globally, and identify and understand current and future public health challenges faced by the U.S. and the world.

4. Select, collect, correctly interpret, and apply quality data for assessment and planning in individual and public health.

5. Plan, administer, manage, and evaluate community health promotion interventions and programs.

6. Implement community health promotion interventions and programs.

7. Conduct evaluation and research related to community health promotion.

8. Communicate effectively while serving as a resource person to individuals, communities and stakeholders.

9. Based on evidence and data, advocate for practices, programming, and policies that address health issues.

10. Demonstrate an understanding of cultural competency and ethical decision making.

11. Communicate the role of fairness and justice in health equity.

 

Bachelor of Science in Health Data Science

Competencies

Upon completing the Bachelor of Science in Health Data Science, you will be able to:

  • Demonstrate computing knowledge and “hacking” skills (data capture and visualization)
  • Analyze results using appropriate biostatistical methods (analytical skills)
  • Think critically and creatively to solve problems and discover meaning in large data (open-mindedness, curiosity)
  • Conduct data analyses in an ethical and responsible manner (professionalism)
  • Effectively communicate results of analyses to non- experts (communication, “story telling”, presentation skills).

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