Facts & Figures

Facts & Figures

Enrollment Fall 2024

9,613
Total students

6,579
Undergraduates

1,930
Master's

1,104
Doctoral

Undergraduate Students Fall 2024

Race/Ethnicity

Undergrad pie chart 2024

White [61%]
Asian [15.6%]
Hispanic/Latino [12%]
International [5.3%]
Black/African American [3%]
American Indian/Alaskan Native [1.5%]
Native Hawaiian/Pacific Islander [0.6%]
Unknown [1%]

Demographics

30%

Female*

70%

Male*

6%

International

12%

First-generation

17%

Historically underrepresented**

*0.1% of students have self-identified as non-binary听but this data may not be accurate or complete. See 鈥淎bout the Data鈥 section for more information.

听**Includes African-American, Hispanic/Latino, American-Indian/Alaska Native, Native-Hawaiian/Pacific Islander. See 鈥淎bout the Data鈥 section for more information.

Updated 11/23.

Undergraduate Retention

90%

Second fall retention rate in Engineering

73%

Graduation rate in Engineering within听six听years

64%

Historically Underrepresented Students*
Graduation rate in Engineering within听six听years

78%

Transfer Students
Graduation rate in Engineering within six years

*Most recent National Average 6-year graduation rate in Engineering is 61.7% (Median) for all students and below 50% for students from historically underrepresented backgrounds. (2018 American Society of Engineering Education Retention and Time-to-Graduation Survey)


Graduate Students Fall 2024

Graduate Race/Ethnicity

Grad pie chart 2024

White [46.1%]
Asian [8.1%]
Hispanic/Latino [7.4%]
International [33.6%]
Black/African American [1.8%]
American Indian/Alaskan Native [0.7%]
Native Hawaiian/Pacific Islander [0.3%]
Unknown [2%]

Graduate Demographics

32%

Female*

68%

Male*

37%

International

9%

Historically underrepresented*

Post-Graduation Career Outcomes

90%

Employed or attending graduate school in engineering or related field听within 6 months of graduation

$85,918

Undergraduate Alumni Median annual income 1-5 years post-graduation

Most Common Employers

Lockheed Martin听鈥⑻鼴all Aerospace听鈥⑻鼳mazon听鈥⑻齆orthrop Grumman听鈥⑻齆ASA听鈥⑻齊aytheon Technologies听鈥⑻齋ierra Space听鈥⑻齂BI Biopharma听鈥⑻鼴lue Origin听鈥⑻齅icrosoft

Research

5

Center-scale initiatives funded in 2022

10

National Academy members

$180 Million

Research Expenditures for FY 2023 (ASEE)

Top 10%

of Public听Universities for Research Expenditures (ASEE, 2023)

Rankings

Undergraduate Public Rankings

U.S. News & World Report 2024听Best Undergraduate Engineering Programs

#17听Best Undergraduate Engineering Program

#8听Aerospace Engineering 听
#8听Environmental Engineering
#14听Chemical Engineering 听
#15听Civil Engineering
#16听Computer Science
#20 Mechanical Engineering

Graduate Public Rankings

U.S. News & World Report 2024 Best Graduate Engineering Schools

#12 Best Graduate Engineering Schools

#5听Aerospace Engineering
#7听Environmental Engineering
#9听Civil Engineering
#11听Chemical Engineering
#16 Computer Engineering

#17听Mechanical Engineering
#17 Electrical Engineering
#23听Biomedical Engineering
#25 Biological Engineering
#29 Materials Science and Engineering


The rankings, published annually by听U.S. News and World Report, are based on a survey of more than 200 engineering schools nationwide that grant doctoral degrees. Specialty rankings are not available in all disciplines at the undergraduate level, and not all disciplines are ranked every year.听

Diversity, Equity & Inclusion

A few highlights on our progress:

  • We continue to make progress toward gender parity with听36% female students in the fall 2024听incoming first-year cohort.
  • We brought in our largest and most diverse doctoral cohort on record in 2024.
  • The number of undergraduate students in our College historically underrepresented by race/ethnicity (URM) has more than doubled in the past 10 years and represents 17% of our undergraduate population.
  • Programs such as the听BOLD Center, the听Lattice Scholars program, and Engineering Connections听support student engagement, student success, and retention.听

Faculty

250

Tenure track
faculty

105

Instructional
faculty

23:1

Undergraduate student
to faculty ratio

11:1

Graduate student
to faculty ratio

About the Data

Data Collection Values, Definitions and Limitations

In the College of Engineering and Applied Science, we strive to think critically about how to communicate data about our students, faculty and staff. We acknowledge that our collection methods are limited, and we may not have data to represent all identities within our diverse community. As often as possible, we will disaggregate our data to better understand the variation of experiences within our college and the university. To ensure that data is not identifiable, we will not share data on groups with fewer than 10 students where data could be attributed to a specific person. Statistically, methods for analyzing small populations are limited, but it is important to not disregard them. We utilize this data internally, although it may not be published.

As of Jan. 30, 2020, in alignment with听Colorado driver license听and identification card policies,听兔子先生传媒文化作品 systems include three sex designations: male (M), female (F) and nonbinary (X). 兔子先生传媒文化作品 recognizes that听your legal information听doesn't always align听with how you听identify. To foster diversity, equity and inclusion,听CU systems听allow听you to indicate听your gender identity, name pronunciation, preferred name, pronouns and/or sexual orientation within the Buff Portal. We are currently limited in the data that we can report because the information in the student portal may not be complete (data is self-reported and optional to report). For more information visit the Office of the Registrar.听While the unique identities of our students, faculty and staff may not always be reflected in the data we have available, we seek to acknowledge and support all community members and to continue improve our data collection efforts.

Student demographic information initially comes from the Common Application that a student submits when they apply for admission. The Common Application includes Hispanic/Latino, American Indian or Alaska Native, Asian, Black or African American, Native Hawaiian or Other Pacific Islander, and White (including Middle Eastern) as race/ethnicity options. At this time the demographic information we are able to report on is limited to these categories.

While the unique identities of our students, faculty and staff may not always be reflected in the data we have available, we seek to acknowledge and support all community members and to continue improve our data collection efforts.

We strive to use terms that the people in our community self-identify with whenever possible. We acknowledge that the term 鈥渦nderrepresented minority鈥 is not a term that students, faculty or staff generally use to identify themselves. We use this term to compare our data to national data on STEM education when disaggregated data by race/ethnicity is not available. Acronyms and terms can be convenient when describing data, but they are imperfect and problematic at times. We strive to use person-first language and to understand the unique experiences of individual students and groups. We are always open to feedback from our community as we continue to learn more and enhance the experience for all students, faculty and staff.

The Campus Workplace and Culture Survey will be distributed to all students, faculty and staff in fall 2021 and will provide an opportunity to collect updated demographic data that will hopefully reflect the unique identities within our community. The university is committed to creating a welcoming environment that values respect, civility, and collegiality. The purpose of the Campus and Workplace Culture Survey is to gather information from 兔子先生传媒文化作品 students, staff, and faculty about their academic, workplace, and residential environments. We will use the results from this survey to better understand the existing culture of a college/department/program and to identify both strengths and areas of concern in order to make recommendations for creating and sustaining a welcoming and inclusive culture at 兔子先生传媒文化作品.

For questions contact Vanessa Dunn,听Director of Analytics, Assessment and Accreditation.