Electrical engineering is the field that builds the digital world. It encompasses the design of semiconductors, integrated circuits, communication networks, signal processing systems, power grids, embedded controllers, and the electronic architectures that underlie every device from a smartphone to a satellite. More than 15,000 bachelor’s degrees in electrical engineering are awarded in the United States each year, one of the largest engineering disciplines by degree volume, behind mechanical engineering, and the one most directly tied to the technology economy that has defined American economic growth for the past four decades.
The field is also unusually concentrated at the top. The programs that produce the most research, the most patents, the most doctoral alumni, and the graduates who advance to industry leadership in semiconductors, telecommunications, and systems engineering are a relatively small and identifiable set. The gap between that set and the median of the 277 programs in our universe is wide, driven by the capital intensity of electrical engineering research, the centrality of faculty research grants from DARPA, NSF, and industry, and the proximity of the best programs to the technology clusters that employ their graduates.
College Transitions has developed a new, data-driven ranking of the top 100 undergraduate electrical engineering programs in the country. We evaluated all 277 four-year institutions that awarded at least 20 electrical engineering bachelor’s degrees between 2022 and 2024. Here is what we found.
How We Built the Ranking
The approach evaluates institutions across five components, each converted to a percentile score across the full 277-program universe.
| Component | Weight | Data Source |
| Major Emphasis | 12% | IPEDS Degree Completions |
| Program Scale | 13% | IPEDS Degree Completions (log) |
| Academic Rating | 30% | IPEDS / Common Data Set |
| Earnings & ROI | 25% | College Scorecard (Tier 1) / Georgetown CEW |
| PhD Productivity | 20% | NSF Survey of Earned Doctorates |
The Earnings & ROI component applies our Tier 1 C4 formula: field-specific EE earnings are available for 76 percent of programs, above the 50 percent threshold, so the 55 percent sub-weight on field-specific data applies. EE graduate earnings in this dataset display an unusually wide range, from roughly $65,000 at the low end to over $200,000 at the top. The extreme values (UC Berkeley $202,911, MIT $172,897, Stanford $154,251, CMU $149,740) reflect small cohorts of graduates entering FAANG companies and quantitative finance firms rather than broad industry averages. These are real earnings figures, not data errors. The cohorts are small because the majority of graduates from elite EE programs proceed to graduate school at four years, and those who enter the workforce immediately command high compensation in the Bay Area and New York markets. The percentile ranking handles this correctly: these programs occupy the 99th percentile on field earnings, which reflects their labor market positioning.
PhD Productivity (20 percent) draws on NSF Survey of Earned Doctorates data for the field “Electrical and computer engineering.” The NSF combines electrical engineering with computer engineering in this category, which is appropriate given the increasing integration of the two disciplines at the research frontier. Programs that have split into separate EE and CE departments (such as Carnegie Mellon, MIT, and UC Berkeley) have their alumni distributed across both disciplines in the NSF data, and the combined category captures this accurately.
The Top 25
The top 25 programs are shown below. Electrical engineering’s top tier is notable for the presence of Carnegie Mellon at #1, a result that merits explanation, and for the strong representation of both elite private research universities and public flagship programs in the upper tier.
| Rank | Institution | State | Type | Score |
| 1 | Carnegie Mellon University | PA | Private | 94.3 |
| 2 | Massachusetts Institute of Technology | MA | Tech | 93.0 |
| 3 | Cornell University | NY | Private | 90.0 |
| 4 | University of California-Berkeley | CA | Public | 88.6 |
| 5 | Georgia Institute of Technology | GA | Tech | 87.9 |
| 6 | Rensselaer Polytechnic Institute | NY | Tech | 87.5 |
| 7 | Stanford University | CA | Private | 85.8 |
| 8 | University of Notre Dame | IN | Private | 84.8 |
| 9 | Worcester Polytechnic Institute | MA | Tech | 84.7 |
| 10 | Princeton University | NJ | Private | 84.0 |
| 11 | University of Rochester | NY | Private | 83.2 |
| 12 | University of Texas at Austin | TX | Public | 82.9 |
| 13 | University of Michigan-Ann Arbor | MI | Public | 82.7 |
| 14 | University of California-San Diego | CA | Public | 82.1 |
| 15 | University of California-Los Angeles | CA | Public | 81.1 |
| 16 | Purdue University | IN | Public | 80.0 |
| 17 | Northeastern University | MA | Private | 79.1 |
| 18 | Rutgers University-New Brunswick | NJ | Public | 78.4 |
| 19 | Rice University | TX | Private | 78.2 |
| 20 | Colorado School of Mines | CO | Tech | 78.2 |
| 21 | California Institute of Technology | CA | Tech | 78.0 |
| 22 | University of Florida | FL | Public | 77.9 |
| 23 | Stevens Institute of Technology | NJ | Tech | 77.6 |
| 24 | University of Washington | WA | Public | 77.3 |
| 25 | University of Maryland-College Park | MD | Public | 76.8 |
Table 1. Top 25 Undergraduate Electrical Engineering Programs, 2026 College Transitions Ranking.
Carnegie Mellon University (#1, 94.3) leads the ranking, combining near-perfect scores across all five components. CMU scores 98.6 on Major Emphasis (a program where ECE, electrical and computer engineering, is one of the institution’s most central academic commitments), 96.4 on Program Scale, 98.7 on Earnings & ROI (field earnings of $149,740, among the highest in the dataset), and 93.5 on PhD Productivity. That breadth of strength across every component is the signature of a program that has built a coherent, sustained investment in EE/ECE education and research rather than excelling on a single dimension. CMU’s College of Engineering and School of Computer Science together form one of the most productive technical research environments in the United States, with deep industry relationships across semiconductor, AI, robotics, and autonomous systems companies.
Massachusetts Institute of Technology (#2, 93.0) scores at or near the top of its range on every component: 94.6 on Major Emphasis, 99.8 on PhD Productivity (96 EE/CE doctoral recipients over the decade at a per-capita rate of 21.0, among the highest in the dataset), and the highest institutional Earnings & ROI score in the full dataset. MIT’s field-specific earnings of $172,897 reflect a tiny cohort of direct-to-industry graduates earning high Bay Area and Wall Street compensation; the more representative signal is the 99.8 PhD Productivity score, which reflects the program’s role as one of the world’s premier launching points for doctoral study in electrical engineering.
Cornell (#3, 90.0) and UC Berkeley (#4, 88.6) round out the top four with strong PhD pipeline scores (Cornell: 94 EE/CE doctoral recipients, 96.8 score; Berkeley: 130 doctoral recipients, 96.2 score, the second-highest raw count in the dataset). Berkeley leads all programs on Program Scale with a perfect 100, reflecting 1,446 EE degrees over three years, the largest EE program in the country by a substantial margin. Georgia Tech (#5, 87.9) scores 98.1 on PhD Productivity (125 doctoral recipients) and 89.9 on Major Emphasis, ranking among the top public university programs in the country.
What Separates the Best Programs?
The CMU Anomaly, and Why It Is Not One
CMU at #1 surprises some observers whose mental model of EE rankings puts MIT first. The explanation is straightforward. MIT is an outstanding EE program, but its composite score is held down by Program Scale (76.9, reflecting that MIT’s small undergraduate enrollment limits its degree volume) and, relative to CMU, by a slightly lower Academic Rating driven by institutional-level indicators where CMU’s class size and faculty profile are comparable. CMU’s near-perfect Major Emphasis score reflects a program structurally central to the institution in a way that MIT’s EE program, strong as it is, is not, given MIT’s smaller undergraduate enrollment across all disciplines. For students admitted to both, the difference in program quality is negligible; the difference in composite score reflects structural characteristics of the institutions rather than any gap in research depth or career outcomes.
The Earnings Anomaly at Elite Programs
The field-specific earnings data in this ranking requires careful interpretation for EE, because the cohorts at the most selective programs are heavily skewed by graduate school attrition. At MIT, UC Berkeley, Stanford, and CMU, the majority of EE graduates at year four are in graduate school, so the four-year earnings figure reflects only the students who entered the workforce immediately, who disproportionately joined technology companies in high-cost markets. The resulting figures ($202,911 at Berkeley, $172,897 at MIT, $154,251 at Stanford, $149,740 at CMU) are accurate for those who went directly to work, but they represent a small and non-representative fraction of the graduating class. For counselors advising students, the more useful earnings comparison is among programs in the middle of the ranking, where graduate school attrition is lower and the four-year earnings figure represents a larger share of the graduating class.
The Public University Core: Berkeley, UT Austin, Michigan, UC San Diego, UCLA
Among public research universities, UC Berkeley (#4) is in a category of its own nationally for EE, combining the largest program by degree volume with a per-capita PhD productivity rate that exceeds every other public university in the dataset, and field earnings that reflect the Bay Area technology premium. The University of Texas at Austin (#12) has the second-largest EE program among public universities (99.6 Program Scale, 974 EE degrees over three years, behind only Berkeley) and scores 87.7 on PhD Productivity (75 EE/CE doctoral recipients over the decade). University of Michigan (#13) scores 94.0 on PhD Productivity (108 doctoral recipients, the fifth-highest raw count in the dataset) and 91.0 on Program Scale, reflecting a program of both scale and research depth. UC San Diego (#14) and UCLA (#15) complete a strong California public university cluster: San Diego scores 97.5 on Program Scale and 81.6 on PhD Productivity (48 doctoral recipients); UCLA scores 94.9 on Program Scale and 88.1 on PhD Productivity.
RPI and WPI: The Technical Institute Case for EE
Rensselaer Polytechnic Institute (#6, 87.5) is the ranking’s most striking result among programs that are less well-known nationally. RPI scores 94.9 on Major Emphasis, 97.5 on PhD Productivity (67 EE/CE doctoral recipients at a per-capita rate of 11.3 per 1,000 undergraduates, among the highest per-capita rates in the dataset), and 94.6 on Earnings & ROI. RPI’s EE program has built a research culture that consistently sends students to doctoral programs and high-compensation industry roles at a rate that rivals programs at institutions far larger and more prestigious by general ranking. Worcester Polytechnic Institute (#9, 84.7) scores 96.0 on Major Emphasis and 89.4 on PhD Productivity, reflecting the same pattern: a program where EE is central to the institution’s identity, the research culture is deliberately built, and the per-capita outcomes are strong.
Rutgers: The Large Public Value Proposition
Rutgers University-New Brunswick (#18, 78.4) deserves specific attention as a large public university offering a combination of scale and outcomes that is unusual. Rutgers scores 98.9 on Program Scale (766 EE degrees over three years, fourth nationally), and its field-specific EE earnings of $119,602 rank in the 95th percentile of the universe, reflecting graduates entering the New Jersey and New York technology and pharmaceutical corridor. For in-state students in New Jersey, Rutgers offers an EE program with scale, strong earnings outcomes, and solid PhD productivity (31 EE/CE doctoral recipients over the decade) at a fraction of the cost of the elite private programs above it in the ranking.
Patterns, Themes, and What They Mean for Your Students
Electrical engineering is the field most directly connected to the technology economy, and the patterns in this ranking carry specific implications for counselors advising students who are drawn to it.
EE is the engineering major most tightly coupled to specific geographic labor markets. The Bay Area, Seattle, Austin, Boston, San Diego, and New York are the primary destinations for EE graduates entering the technology, semiconductor, and defense industries. Programs embedded in or near these markets (Berkeley, Stanford, UC San Diego, UCLA, UT Austin, Carnegie Mellon, MIT, Cornell) have structural advantages in recruiting, co-op placement, and industry research partnerships that show up in their earnings outcomes. For students whose target employment market is a specific tech hub, proximity to that hub and the program’s established connections there may matter as much as national ranking position.
The NSF PhD field (“Electrical and computer engineering”) captures the right discipline for EE rankings. Unlike some other fields in this ranking series where the NSF category mixes adjacent disciplines, “Electrical and computer engineering” appropriately captures the doctoral outcomes of EE undergraduates. The field’s integration, with most EE departments now including computer engineering as a formal sub-track, means the PhD productivity signal is clean and informative. Programs that score highly on this component (CMU, MIT, Cornell, Berkeley, Georgia Tech, RPI, Purdue) have built research cultures that prepare undergraduates for doctoral study in the field.
The large public programs deserve more attention than they typically receive. UT Austin, Michigan, Purdue, UC San Diego, UCLA, University of Washington, and University of Maryland are all top-25 programs that combine scale, research depth, and strong industry connections at tuition levels far below the elite private programs above them. For in-state students in Texas, Michigan, Indiana, California, Washington, and Maryland, these programs are excellent value propositions. The composite-score gaps between, say, Purdue (#16, 80.0) and MIT (#2, 93.0) are real, but they reflect differences in institutional prestige and selectivity as much as differences in EE program quality for undergraduates who will pursue industry careers rather than doctoral study.
Colorado School of Mines (#20) is the ranking’s most counterintuitive result for general audiences. Mines scores 97.1 on Major Emphasis, 85.2 on Program Scale (193 EE degrees over three years from a 4,000-student institution), and 88.7 on Earnings & ROI. Its lower Academic Rating (55.7) reflects institutional characteristics such as admissions profile and class-size metrics rather than any deficiency in EE-specific instruction. For students seeking an EE program at an institution where engineering is the entire institutional identity, with strong industry connections to the energy, defense, and technology sectors of the Mountain West, Mines is a distinctive and undervalued option.
Co-op and experiential learning programs matter more in EE than in most fields. Northeastern (#17) and Drexel (#37) have built EE programs around mandatory co-op rotations with semiconductor, defense, and technology companies. For students whose goal is industry employment in systems engineering, hardware design, or firmware development, rather than graduate school or software roles that recruit primarily from computer science, the quality of co-op placement and industry relationships may matter more than any composite score. These programs deserve serious consideration alongside programs with higher composite rankings for students with clear industry career goals.
Electrical engineering is the discipline at the center of the technology revolution, and the programs that lead this ranking have positioned themselves to benefit from and contribute to it. For students and families willing to look carefully at the data, at PhD productivity, field earnings, program depth, and industry connections, the landscape of excellent EE programs is richer and more geographically distributed than conventional wisdom suggests.
