Artificial Intelligence (AI) is a field that develops intelligent algorithms and machines. Examples include: self-driving cars, smart cameras, surveillance systems, robotic manufacturing, machine translations, internet searches, and product recommendations. Modern AI often involves self-learning systems that are trained on massive amounts of data ("Big Data"), and/or interacting intelligent agents that perform distributed reasoning and computation. AI connects sensors with algorithms and human-computer interfaces, and extends itself into large networks of devices. AI has found numerous applications in industry, government and society, and is one of the driving forces of today's economy.
Artificial Intelligence in Amsterdam
The Master's programme in Amsterdam has a technical approach towards AI research. It is a joint programme of the University of Amsterdam and Vrije Universiteit Amsterdam. This collaboration guarantees a wide range of topics, all taught by world renowned researchers who are experts in their field.
Core topics
In this Master's programme we offer a comprehensive collection of courses. It includes:
- Computational Intelligence
- Computer Vision
- Information Retrieval
- Knowledge Representation
- Machine Learning
- Multi-Agent Systems
- Natural Language Processing
Next to the general AI programme we offer specialisations in:
- AI and the Web
- Data Science
Study programme: Master's programme Artificial Intelligence
The two year programme consists of obligatory core courses, advanced AI courses and elective courses, a specialisation and thesis. In your first year you take the obligatory core courses. In the second semester of the first year you choose your specialisation in an area of your choice. In the second year you work on your specialisation and on your thesis.
The curriculum of the Master’s Artificial Intelligence leaves ample space for you to explore what you find interesting in and around the field of AI. You can specialise in one of the core topics or you can follow a direction that cuts across research areas.
Year 1
Courses on core topics (42 EC)
These topics are taught by leading researchers in their fields and provide you with a solid basis and understanding of current AI research.
- Computational Intelligence
- Computer Vision
- Information Retrieval
- Knowledge Representation
- Machine Learning
- Multi-Agent Systems
- Natural Language Processing
Advanced AI courses and Elective courses (18 EC)
Year 2
In the second year of the Master’s programme you choose a specialisation in an area of your choice.This can be in a core topic or in your own designed specialisation. Both specialisations work towards a Master’s thesis through research with an associated research group at UvA or VU or in a company with an industrial problem.
The specialisation stage consists of:
- Advanced AI courses and Elective courses (24 ECTS)
- Master’s thesis AI (36 ECTS)
Specialisations
A few examples of specialisations that you can do:
- Artificial Intelligence and Data Science
- Artificial Intelligence and the Web
