MSc in Artificial Intelligence
Nijmegen, 荷兰
理学硕士
期间
2 年
语言
英语
步伐
全职
报名截止日期
01 Apr 2026*
最早开始日期
Sep 2026
学费
EUR 2,695 / per year **
学习形式
在校园
* 欧盟学生的最后期限 | 希望获得住房援助的欧盟学生的最后期限:2024 年 5 月 1 日 | 非欧盟学生的最后期限:2024 年 4 月 1 日
** for EU/EEA nationals; €17,000 for non-EU/EEA nationals
- This programme is designed for students with a background in Artificial Intelligence or related disciplines with a focus on AI
- Gain the skills to advance the study of the brain and cognition through typical AI tools
- Explore the leading methods in computational modelling to understand naturally intelligent systems, building artificially intelligent systems, and improve the interaction between them
- Prepare for a career in data science, academia, R&D, software development, machine learning, policy advisor and more
Why study Artificial Intelligence at Radboud University?
The Master's programme in Artificial Intelligence at Radboud has a distinctly cognitive focus, centred around computational modelling. We offer students two exciting specialisations: cognitive computing and intelligent technology.
Radboud also offers two unique double degree options in combination with the AI programme: computing science, and cognitive neuroscience.
At Radboud, you will also have access to other great research institutes. This programme works closely with the Donders Institute for Brain, Cognition and Behaviour, conducting research in EEG, fMRI, and MEG. This programme also cooperates with the Radboud Behavioural Science Institute and its Virtual Reality Laboratory.
Radboud is also proud of its record in regards to graduates, who often go on to do a PhD or are offered jobs even before graduation.
Radboud奖学金项目
Radboud奖学金计划为有才华、积极进取、学习成绩优异的非欧盟/欧洲经济区学生提供机会,授予他们部分奖学金,用于攻读英语授课的硕士课程。
NL 奖学金(针对未来学生)
NL 奖学金(以前称为荷兰奖学金)是为希望在荷兰攻读硕士学位的非欧盟/欧洲经济区学生提供的部分奖学金。
富布赖特- Radboud奖学金
由Radboud University资助的富布赖特委员会为优秀的美国学生提供奖学金,前往Radboud University学习。
截止日期为1月31日
课程总体结构
- 一系列核心课程,介绍高级人工智能概念、理论和方法。
- 根据所选方向开设的专业化课程,例如以人为中心的人工智能、机器学习、神经计算或计算认知科学。
- 选修课程允许学生探索人工智能的子领域,或加强他们在认知科学、计算机科学、数据科学、机器人学或伦理学等领域的背景知识。
- 以技能为导向的组件,旨在培养与人工智能实践和研究相关的学术、研究和专业技能。
- 学生进行独立研究并将人工智能方法应用于现实世界或理论问题的研究项目、实习或论文。
该结构适用于所有专业,尽管具体的课程选择和各组成部分之间的平衡会因专业而异。


