- College of Architecture and Planning
- College of Education
- College of Engineering
- College of Fine Arts
- College of Health
- College of Humanities
- College of Mines and Earth Sciences
- College of Nursing
- College of Pharmacy
- College of Science
- College of Social and Behavioral Science
- College of Social Work
- David Eccles School of Business
- Honors College
- S.J. Quinney College of Law
- School for Cultural and Social Transformation
- School of Dentistry
- School of Medicine
- Undergraduate Studies
Expected Learning Outcomes
College of Architecture and Planning
School of Architecture
B.S. in Multi-Disciplinary Design
The undergraduate Bachelor of Science in Multi-disciplinary Design degree provides a broad academic foundation from which an individual might develop a career in one of the many aspects of industrial and product design, including medical and consumer product development and experience design. Students completing this degree also will be prepared to pursue graduate educate in a design-related field.
- Students will develop and hone a deep understanding of design process through observation, ideation, and implementation. They will be able to use this process and related methods to solve complex problems in a variety areas, including human-centered and traditional (real solutions to real problems) focuses.
- Students will understand considerations of desirability, viability, and feasibility.
- Students will be engaged with client communities in real-world applications of design.
- Students will learn sophisticated communication methods, both by hand and using the computer, and will develop fine craft skills in the construction of real physical prototypes. They will utilize computer modeling techniques and digital fabrication methods and tools.
- Students will develop both qualitative and quantitative design research aptitudes and will be able to use this research to identify design opportunities and develop solutions to those opportunities.
- Students will gain an understanding of business modeling and analysis techniques.