Massachusetts Institute of Technology
Cambridge, MA, United States
QS #1Full need-based aid
Electrical Engineering & Computer Science · Mechanical Engineering · Economics
- Tuition
- Est. above $60,000 per year before aid
- Deadline
- Typically 1 November
All careers
Technology
AI / Machine Learning Engineer
Builds and deploys machine-learning systems that power products and research.
What this career is
ML engineers turn data and models into reliable software: they train, evaluate and serve models, and work on data pipelines, infrastructure and responsible AI practices.
What professionals do
- Prepare and analyse training data
- Train and evaluate models
- Deploy models to production and monitor them
- Read research papers and reproduce results
Outlook: Very high demand and fast-moving; strong fundamentals and shipped projects stand out.
Official occupation data
- Data Scientists$120,230
- Computer and Information Research Scientists$140,300
- Software Developers$135,980
Tasks, skills, US pay and job growth from O*NET and the U.S. Bureau of Labor Statistics.
Key skills
Machine learning
technicalML skills open doors in data science, AI engineering and quantitative research.
Start with
- · Learn supervised learning with scikit-learn
- · Complete a beginner Kaggle competition
Python
technicalPython is the default language for data analysis, machine learning and scripting, and a common first language for engineers.
Start with
- · Complete an introductory course with exercises
- · Automate a small task you do weekly
Software development
technicalThe core skill of software engineering roles and a strong advantage for founders and product managers.
Start with
- · Learn a language and data structures
- · Use Git and GitHub daily
Statistics
analyticalStatistics helps you avoid misleading conclusions and is required for data, economics and research roles.
Start with
- · Cover descriptive statistics, distributions and hypothesis tests
- · Run a simple A/B test analysis
Data visualization
analyticalAnalysts are judged on how clearly they communicate findings, not just on the analysis itself.
Start with
- · Learn when to use bar, line and scatter charts
- · Build a one-page dashboard
Education paths
- 1Bachelor's in computer science, maths or data science
- 2Master's in AI/ML is common for research-heavy roles
- 3Strong portfolio of projects and competitions
Universities strong in Data Science & AI
Stanford University
Stanford, CA, United States
QS =2Full need-based aid
Computer Science · Management Science & Engineering · Economics
- Tuition
- Est. above $60,000 per year before aid
- Deadline
- Typically 1 November
Imperial College London
London, United Kingdom
QS #2Merit scholarships
Computing · Electrical & Electronic Engineering · Mathematics
- Tuition
- Est. £38,000–£50,000 per year for international students
- Deadline
- Typically late January
Typical entry-level roles
Junior ML EngineerData ScientistML Research InternSoftware Engineer (ML team)
Build your profile
Recommended extracurriculars
- · Kaggle competitions
- · Open-source ML projects
- · Research assistant roles
- · Hackathons
Recommended competitions
PrizesOnline
- Location
- Online
- Deadline
- Competitions open and close throughout the year
PrizesHybrid
- Location
- Local events worldwide and online
- Deadline
- 14–15 November 2026
Recommended internships & programmes
PaidIn person
- Location
- Google offices worldwide
- Deadline
- Many summer internships open in early autumn of the previous year
PaidIn person
- Location
- Microsoft offices worldwide
- Deadline
- Summer roles often open in early autumn
PaidIn person
- Location
- Geneva, Switzerland
- Deadline
- Typically closes in January/February
Certifications that help
Data & AI
IBM Data Science Professional Certificate
IBM (on Coursera)
Python, SQL, data analysis and machine-learning basics.
- Cost
- Coursera subscription; financial aid available
- Time
- About 4–5 months part-time
Data & AI
Machine Learning Specialization
DeepLearning.AI & Stanford (on Coursera)
Andrew Ng's modern introduction to supervised and unsupervised learning.
- Cost
- Free to audit; certificate with Coursera subscription
- Time
- About 2–3 months part-time
Data & AI
Kaggle Learn micro-courses
Kaggle
Short hands-on courses in Python, pandas, SQL, ML and data visualisation.
- Cost
- Free
- Time
- A few hours per course
Software
CS50: Introduction to Computer Science
Harvard University (edX / cs50.harvard.edu)
Harvard's famous intro to programming: C, Python, SQL and web.
- Cost
- Free (paid verified certificate optional on edX)
- Time
- 10–12 weeks