Everything About Work

Careers from a Computer Science major

11 professions that a Computer Science degree can lead into, plus where it is taught and which credentials sit on the path. Software Engineer · AI Researcher · Robotics Engineer · Physicist · Data Scientist · Astronomer · Mathematician · Game Designer · Entrepreneur · Product Manager · Economist.

A Computer Science background connects to 11 professions on this site, ranked by pay. Each card explains why the major still matters for that job.

Open major encyclopedia →

Where it leads

🤖 AI Researcher the default, most direct route

Provides the algorithms, systems and, at most universities now, dedicated machine-learning coursework that forms the technical base for almost every AI research specialty.

Pay90 Resists AI50 Barrier to entry92
💻 Software Engineer the default, most direct route

Covers algorithms, data structures, computability and systems — the theoretical base for almost every specialisation in the field.

Pay80 Resists AI35 Barrier to entry55
🦾 Robotics Engineer for perception, planning and machine learning

Increasingly essential as robots rely on trained perception models and learned control policies rather than only hand-coded logic, and the discipline most large robotics companies now hire heavily from.

Pay74 Resists AI65 Barrier to entry70
📊 Data Scientist for the engineering half of the job

Databases, algorithms and enough software engineering to write production-quality code, not just a one-off analysis script, increasingly separate strong candidates from weak ones.

Pay74 Resists AI38 Barrier to entry55
💱 Economist For the field economics is becoming

Modern empirical work runs on code, and the fastest-growing employer of economists is the technology sector, where auction design and experimentation sit exactly on the economics-computing boundary. A CS-economics double major is increasingly a first-choice preparation.

Pay74 Resists AI62 Barrier to entry78
🚀 Entrepreneur The build-it-yourself advantage

The dominant founder degree of the software era: a technical founder can build the first product without hiring, and investors price that ability. Many of the largest startup outcomes of the last three decades had at least one programming founder.

Pay72 Resists AI88 Barrier to entry12
🗺️ Product Manager for technical product roles

Gives enough fluency to read a technical design document, estimate engineering effort roughly and earn engineers' trust — especially valued at companies where the product is developer-facing infrastructure.

Pay70 Resists AI50 Barrier to entry42
🧮 Mathematician For the discrete and computational side

Theoretical computer science is effectively a branch of mathematics — complexity, cryptography, algorithms — and the P versus NP problem carries a Clay million-dollar bounty; the double major with math is now among the most common preparations.

Pay68 Resists AI70 Barrier to entry82
🎮 Game Designer Designers who can build their own prototypes

Scripting and systems literacy let a designer test ideas without borrowing an engineer, and technical designers — the hybrid role — are among the industry's most employable. Many celebrated designers, from Sid Meier to Markus Persson, entered as programmers.

Pay62 Resists AI65 Barrier to entry45
⚛️ Physicist for computational and quantum-computing roles

Growing subfields — lattice QCD, machine-learning-assisted data analysis, quantum computing — increasingly hire physics graduates who also have a real computer science background.

Pay58 Resists AI65 Barrier to entry84
🔭 Astronomer For the data-dominated present

Modern astronomy is software: survey pipelines, machine-learning classifiers, simulation codes. A computer-science degree with physics coursework is an increasingly common and employable route in.

Pay55 Resists AI70 Barrier to entry85

Where this major is taught

Stanford University

United States

Home to Fei-Fei Li's ImageNet project and the Stanford Institute for Human-Centered AI; one of the field's most consistently cited departments.

University of Toronto

Canada

Geoffrey Hinton's academic home for decades and the birthplace of the AlexNet team that restarted the field in 2012.

Université de Montréal / Mila

Canada

Built around Yoshua Bengio's lab into one of the world's largest single concentrations of deep-learning researchers.

University of Cambridge

United Kingdom

A strong machine-learning and theoretical computer-science tradition feeding directly into nearby Google DeepMind and the UK's broader AI research base.

Tsinghua University

China

Consistently ranks among the world's top computer-science departments by publication volume and feeds China's largest AI labs directly.

ETH Zurich

Switzerland

A leading European machine-learning and robotics research center, with close ties to Google's and Meta's Zurich research offices.

Technion – Israel Institute of Technology

Israel

Anchors Israel's dense AI research and startup ecosystem, alongside corporate research labs opened nearby by Google, Meta and Intel.

National University of Singapore

Singapore

A fast-rising machine-learning research program and a regional hub for Southeast Asia's growing AI research investment.

Massachusetts Institute of Technology

United States

CSAIL and decades of foundational systems research, from Multics and early LISP work to today's AI labs.

Indian Institute of Technology Bombay

India

One of several IITs that feed a huge share of global engineering hiring pipelines.

University of Waterloo

Canada

Known for a mandatory co-op program that rotates students through up to six industry placements before graduation.

Carnegie Mellon University

United States

Its Robotics Institute, founded in 1979, was the first freestanding robotics research and degree-granting department in the world.

Credentials on this path

PhD in Computer Science, Machine Learning or a related field

Global

The field's de facto credential; with no licensing board, a completed dissertation and an advisor's endorsement function as the closest thing AI research has to certification.

Peer-reviewed publications at NeurIPS, ICML or ICLR

Global

Not a formal credential, but the actual gatekeeping mechanism hiring committees weigh most heavily — a strong record at these venues routinely outweighs any certificate or the university's name.

ACM or AAAI Fellow

Global (US-headquartered bodies)

A career-recognition status rather than an entry requirement, awarded by the Association for Computing Machinery or the Association for the Advancement of Artificial Intelligence for a sustained body of influential work.

CITI human-subjects research certification

United States (equivalents required elsewhere)

Required by most university ethics boards before a researcher can run any study involving human participants or their data — relevant to AI researchers doing human-evaluation studies, user studies or crowdsourced labeling.

AWS / Azure / GCP cloud certifications

Global

Vendor certifications from the major cloud platforms are not legally required but are widely used as a resume signal for cloud and infrastructure roles; unlike a licence, they expire and must be renewed every few years.

PE Software Engineering exam (discontinued)

United States

From 2013 to 2019, US states offered a Professional Engineer licence exam specifically for software; only 81 candidates ever sat it across five sittings, and NCEES retired it after April 2019 for lack of demand — the clearest evidence that formal licensing never took hold in this field.

P.Eng., software engineering

Canada

Provincial regulators such as Professional Engineers Ontario license and protect the title 'software engineer' for safety-critical and embedded work, unlike in the US; Alberta moved the other way in the 2020s and exempted the title from its Engineering Act.

Chartered IT Professional (CITP)

United Kingdom / Ireland

Awarded under royal charter by BCS, The Chartered Institute for IT, to members with roughly eight to ten years of senior experience; a mark of standing rather than a requirement to work.

Other majors

What to study for which job →