More than a list of courses...
MavEd is UNO’s approach to making general education relevant, coherent, and purposeful. In addition to each course supporting a content-specific learning outcome (such as humanities, natural sciences, or civic knowledge), the following transferable outcomes are also embedded in EVERY MavEd course.
- Integrative learning - Students synthesize knowledge and skills across disciplines and experiences, applying them to personal, professional, and civic contexts through reflective and adaptive thinking.
- Critical thinking and information literacy - Students locate, analyze, and evaluate credible information to make reasoned judgments and solve complex problems.
- Intercultural awareness - Students examine cultural perspectives and learn to navigate complex intercultural contexts with empathy and skill.
Together, these components ensure that MavEd courses are not only about checking requirements, but about building the skills, perspectives, and experiences that last a lifetime.
Writing: 6 credits
Students will develop and express ideas in writing in various genres and styles that demonstrate consideration of audience and purpose, content, sources and evidence, and syntax and mechanics.
| Course Number | Course Title | Enduring Question | Credits |
|---|---|---|---|
| ENGL 1140 | English Composition I with Support | 3 | |
| ENGL 1150/1154 | Composition I | 3 | |
| ENGL 1160/1164 | Composition II | 3 | |
| ENGL 2160 | Honors Composition: Reasoning & Research | 3 |
Oral Communication: 3 credits
Students will prepare and deliver purposeful presentations designed to increase knowledge, to foster understanding, or to promote change in the listeners' attitudes, values, beliefs, or behaviors.
| Course Number | Course Title | Enduring Question | Credits |
|---|---|---|---|
|
CMST 1110 |
Public Speaking Fundamentals | 3 | |
| CMST 2120 | Argumentation and Debate | 3 |
Quantitative Literacy: 3 credits
Students will use numerical data to solve problems from a wide array of authentic contexts, justify conclusions supported by quantitative evidence, and communicate those arguments in a variety of formats (using words, tables, graphs, mathematical equations, etc., as appropriate).
| Course Number | Course Title | Enduring Question | Credits |
|---|---|---|---|
| MATH 1120 | Introduction to Mathematical and Computational Thinking | 3 | |
| MATH 1130 | Quantitative Literacy | 3 | |
| MATH 1140 | Quantitative Reasoning for Healthcare Professionals | 3 | |
| MATH 1320 | College Algebra | 3 | |
| MATH 1300 | College Algebra with Support | 4 |
Students are considered proficient in meeting their general education Quantitative Literacy requirement if they have an ACT MATH score of 23 or higher or an SAT MATH score of 570 or higher.
There are several other ways students can fulfill their general education quantitative literacy requirement if they do not have a high enough ACT/SAT score:
- Take one of the courses identified above
- Transfer credit for one of these courses from another institution
- Credit for another college-level math course determined to exceed UNO general education quantitative literacy requirements.
Data Literacy: 3 credits
Students will learn to evaluate data sources, extract data from multiple sources, clean and transform these data for analysis, and perform basic analysis such as elementary statistics or visualization to uncover valuable insights through data and make data-informed decisions. Students will follow best practices to build robust data pipelines that can be used to answer questions across various fields including the sciences, business, and fields concerning societal issues
Until Fall 2028, students can satisfy this requirement with an approved data literacy course, or any approved natural or social science general education course.
| Course Number | Course Title | Enduring Question | Credits |
|---|---|---|---|
| BSAD 1030 | Data Literacy for Work and Life | What is data literacy, and how does it empower us in our lives? | 3 |
| ISQA 1100 | Data and Information Literacy | In what ways do technology and AI tools expand or constrain our ability to work with information and data? | 3 |
| STAT 1100 | Data Literacy and Visualization | 3 | |
| STAT 1530 | Elementary Statistics | 3 |