Freshman computer science applications in the United States have increased significantly over the past 20 years, driven by the field’s rising popularity, perceived career opportunities, and surging industry demand. Nationwide, flagship universities like UT-Austin now receive an estimated 12,000–15,000 freshman CS applications annually, with acceptance rates hovering around 5% in recent cycles—illustrating how CS has become one of the most competitive undergraduate majors in the country (insidehighered.com).
At top public CS universities, the data underscores this intensity:
- UC Berkeley (Fall 2024): Only 1.9% acceptance rate for CS applicants, and 7.4% for EECS applicants; overall engineering admissions remain equally fierce.
- UCLA (Fall 2023): Only 3% acceptance rate for CS applicants. UCLA as a whole received 145, 910 applicants in the same admission cycle with an overall acceptance rate of 9.0%.
- University of Illinois Urbana-Champaign (Fall 2023): 7,212 CS applications, 7.5% acceptance rate; the interdisciplinary CS+X track sits at 18.1%.
- Georgia Tech (Fall 2024): Estimated to be around 8%-10% for out-of-state residents and slightly higher for in-state.
Why consider majors besides CS?
Given how competitive CS has become, many high-performing students may find greater value—and better admission chances—pursuing closely related majors. These alternatives provide strong foundations, often similar coursework, and open doors to the tech industry. Let’s explore the top contenders:
Core Tech Alternatives: Similar Scope, Different Angle
-
Software Engineering
-
Focused on development lifecycle, quality, design patterns, and testing.
-
Curriculum overlaps heavily with CS, with added emphasis on large-scale system design and team collaboration.
-
-
Computer Engineering (CE)
-
Bridges hardware and software: digital systems, embedded design, architecture.
-
Ideal for those drawn to how machines function at the silicon and system level, but still want strong programming skills.
-
-
Electrical Engineering (EE)
-
Centers on signal processing, circuits, electronics.
-
Opens roles in hardware, IoT, robotics, and systems engineering; often includes programming and control systems.
-
Math & Data Foundations: Theory, Analytics, and Insight
-
Mathematics
-
Deep dive into abstraction: logic, proofs, algorithms, combinatorics.
-
Strong route toward theoretical CS, cryptography, machine learning; highly valued in quantitative tech roles.
-
-
Statistics / Data Science
-
Statistics emphasizes inference and model-based reasoning; Data Science blends it with computation, data handling, and visualization.
-
Ideal for positions in analytics, data engineering, AI, or even transitioning into ML roles.
-
Applied Sciences & IT: Broader Tech Application
-
Physics
-
Rigorous training in problem-solving, modeling, and numerical simulations.
-
Prepares students for technical computing, simulation software, or physics-engineering roles in tech.
-
-
Information Technology (IT)
-
Practical emphasis on systems administration, networking, databases, cybersecurity.
-
Direct path to infrastructure, cloud, or enterprise IT engineering roles.
-
-
Systems Engineering
-
Integrates hardware, software, project management, process optimization.
-
Underpins careers in large-scale systems integration, operations, and enterprise solutions.
-
Interdisciplinary & Creative Tech Paths
-
Cognitive Science
-
Merges psychology, neuroscience, AI, and human–computer interaction.
-
Useful in UX/UI, human-centered AI, educational tech, and emerging brain–machine interfaces.
-
-
Computational Psychology
-
Applies quantitative and coding skills to study human behavior and mental processes.
-
Opens doors in UX research, behavioral AI, mental health technology, and cognitive modeling.
-
Design (e.g., Design Thinking, Industrial Design, HCI)
-
Focus on user experience, aesthetics, prototyping, usability.
-
In demand for roles in UX/UI, product design, creative-tech startups, and interaction design.
✅ Why these alternatives still get you into technology
Alternative Major | CS Coursework Overlap | Tech Career Pathways | Additional Strength |
---|---|---|---|
Software Eng | High (programming + systems) | Dev jobs, agile teams | Team-based project workflows |
Comp Eng | High (hardware/software) | Embedded, systems, architecture | Full-stack tech via hardware/software |
EE | Medium–High (electronics + programming) | Hardware, IoT, signal processing | Device-level innovation |
Mathematics | Medium (algorithms, theory) | ML, cryptography, quantitative roles | Analytical rigor |
Statistics/Data Science | Medium (algorithms + models) | Data engineering, analytics, AI | Data-driven decision-making |
Physics | Low–Medium (simulation, modeling) | Simulation, scientific computing | Research and physical modeling |
IT | Medium (applied systems) | Network/sysadmin, cybersecurity | Enterprise tech management |
Systems Engineering | Medium (integration, software) | Infrastructure, operations | Holistic, end-to-end systems |
Cognitive Sci | Low–Medium (AI, HCI) | UX/UI, interface tech | Human-centric product design |
Computational Psychology | Low (behavior modeling) | UX research, behavioral AI | Understanding users deeply |
Design | Low (HCI overlap) | Product design, UX | Creativity and usability focus |
Guidance for students and parents
-
Evaluate your core interest
-
Love coding? Software Engineering or Computer Engineering is your twin track.
-
Fascinated by systems? Electrical Engineering/Systems or Physics might fit better.
-
Drawn to data/AI? Math or Data Science could be perfect.
-
-
Check CS course access
-
Many universities allow minors or electives in CS from these majors—integrating CS essentials.
-
-
Consider career market alignment
-
All these fields feed into tech roles; specialization can boost niche employability.
-
-
Admissions flexibility
-
These majors generally have higher acceptance rates, offering better entry into top-tier schools.
-
Final Takeaway
Your major should align with both your curiosity and your goals. If you’re deeply driven to code and develop software, direct routes like Software Engineering or Computer Engineering may be ideal. If you’re intrigued by technology but also by data, design, human behavior, or hardware, these strong alternatives offer robust pathways into computing careers—with broad support and lesser admission hurdles.
By choosing a complementary or alternative major, you gain both a high-quality education and greater flexibility—academically and professionally. Focus on your strengths and interests, not just admission rates, and you’ll set yourself up for success in the dynamic and rapidly evolving world of technology.
This article was written by Insight’s Co-Founder, Ajit Jain. Ajit grew up in Toronto, Canada #GOBLUEJAYS and studied engineering at the University of Toronto. He moved to the Bay Area to pursue his MBA at the Stanford Graduate School of Business and has been here since.