Choosing the right degree is the first step towards a career in artificial intelligence. This guide compares the main routes, from high school to master’s level, explains which skills employers look for, and shows how to get there quickly with a programme taught in English.
The main degree routes into AI
| Degree | Strengths | Typical AI roles |
|---|---|---|
| Computer science | Programming, algorithms, software engineering | AI developer, machine learning engineer |
| Data science | Statistics, machine learning, data engineering | Data scientist, data analyst |
| Applied mathematics or statistics | Strong theory, modelling | Data scientist, research roles |
| Engineering (B.Tech, B.E.) | Problem solving, systems | ML engineer, IoT and edge AI, AI in industry |
| Applied AI (specialised) | Direct focus on AI tools and projects | AI engineer, generative AI developer, AI security |
Which level do you need?
- Bachelor’s level: data analyst, AI developer and junior roles, especially with a strong project portfolio.
- Master’s level: the standard for data scientist and machine learning engineer roles in Europe.
- PhD: research labs and advanced research roles.
Skills that matter more than the degree title
- Mathematics: linear algebra, probability, statistics.
- Python, SQL and data tools.
- Machine learning, deep learning and generative AI.
- Cloud and MLOps to deploy models.
- Real projects with companies or open data.
Routes at AI2, taught in English near Paris
- After high school (Class 12, A levels): the three-year Bachelor in Applied AI. See study in France after 12th.
- After two years of higher education or an HND: the final-year BSc AI-Powered Application Development or BSc Data Analytics & Applied AI.
- After a bachelor’s or a B.Tech: the MSc Applied AI and Data Science, Cybersecurity or IoT, in two years, 18 months or an 11-month Fast-Track. See masters in France after B.Tech.
- Short introduction: the ten-day Paris AI Summer School, see AI courses in Paris.
All AI2 programmes prepare French State qualifications registered at level 6 or 7: see RNCP level 7 explained and the cost of studying AI in France.
After graduating? See AI jobs in France for international students.
Still deciding? Compare data science vs artificial intelligence: skills, jobs and which master’s to choose.
Frequently asked questions
What is the best degree for a career in AI?
Degrees in computer science, data science, applied mathematics or engineering are the most common routes. What matters most is solid mathematics, programming in Python, machine learning and real projects. A specialised master’s-level programme in applied AI is the fastest way to reach AI engineer or data scientist roles.
Do I need a master’s to work in AI?
Many AI engineer and data scientist roles ask for a master’s-level qualification, especially in Europe. Data analyst and AI developer roles are often open after a bachelor’s with strong projects.
Which subjects should I take in high school for AI?
Mathematics is essential; physics and computer science help. In India, Class 12 with mathematics opens the way to an AI bachelor’s abroad.
Can I study AI after a non-computer-science degree?
Yes, if you have a quantitative background (engineering, mathematics, physics, economics) and are ready to strengthen programming. Admission panels look at your mathematics and motivation.
How long does it take to get an AI degree?
Typically three years for a bachelor’s and two more years for a master’s. With a four-year engineering degree, a master’s-level programme can take 18 months, or 11 months on a fast track.
Related: guides by country · study in France without IELTS
