MSc in Innovation and Entrepreneurship
The MSc in Innovation and Entrepreneurship at Radboud University, Neth...
MSc in Artificial Intelligence - Intelligent Technology
Nijmegen
INTAKE: September
Program Overview
The MSc in Artificial Intelligence - Intelligent Technology at Radboud University is an interdisciplinary program that integrates AI with robotics, automation, and smart systems. The program equips students with the tools and techniques required to develop intelligent technologies capable of autonomously processing data, making decisions, and interacting with the real world. It covers the foundational aspects of AI, such as machine learning, computer vision, and natural language processing, while also focusing on intelligent technology applications in areas like autonomous systems, smart cities, and Internet of Things (IoT) solutions.
Curriculum: The curriculum of this master's program combines core courses in artificial intelligence, intelligent systems, and data science with specialized courses on intelligent technology. Students will engage with topics such as machine learning, reinforcement learning, computer vision, cognitive robotics, autonomous systems, and human-robot interaction. The curriculum is designed to provide both theoretical foundations and practical applications, allowing students to work on hands-on projects that involve designing and building intelligent systems. The program also offers electives that allow students to tailor their studies to specific interests, such as robotics or IoT technologies.
Research Focus: Radboud University’s research in AI and intelligent technologies is cutting-edge, with a focus on advancing machine learning algorithms, autonomous systems, and intelligent systems design. Faculty members are involved in groundbreaking research in areas such as cognitive robotics, multi-agent systems, and human-centered AI. Students in the MSc in Artificial Intelligence - Intelligent Technology program have the opportunity to engage in research projects that explore the application of intelligent technologies to real-world problems, from designing autonomous vehicles to developing systems that can understand and respond to human behavior. This research emphasis prepares students to contribute to the future of AI and intelligent technologies.
Industry Engagement: The program fosters strong connections with industry partners, offering students opportunities for internships, collaborative projects, and real-world experience in the development and application of intelligent technologies. Radboud University has established partnerships with leading tech companies, research institutes, and government organizations, enabling students to work on projects that address industry challenges and apply their knowledge in practical settings. This engagement provides valuable networking opportunities and ensures that students graduate with a strong understanding of the industry's needs and trends.
Global Perspective: The MSc in Artificial Intelligence - Intelligent Technology program provides students with a global perspective on the role of intelligent technologies in shaping the future of industries worldwide. The program emphasizes the ethical implications of AI and intelligent systems, encouraging students to consider the broader social, economic, and environmental impacts of these technologies. Radboud University’s international collaborations ensure that students engage with global developments in AI, and the diverse student body adds a global dimension to classroom discussions. This global perspective prepares graduates to work in multinational teams and contribute to AI advancements on an international scale.
Location
Nijmegen
Score
IELTS 7
Tuition Fee
€ 19224
Postgraduate Entry Requirements
Application Fee: €75
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 75% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 6.5 or 7.0 with a minimum of 6.5 in each component.
- TOEFL: Overall score of 100 or higher.
Radboud University offers a range of scholarship opportunities to support international students pursuing their studies in the Netherlands. These scholarships are designed to help ease the financial burden of studying abroad and are awarded based on various criteria, including academic excellence, program type, and country of origin. Radboud University’s scholarships aim to attract highly motivated and talented students from around the world, contributing to the university’s diverse and global student community.
Radboud University Scholarship Programme: The Radboud University Scholarship Programme is one of the most prestigious opportunities available to international students. This scholarship is intended for talented non-EU/EEA students who wish to pursue a Master's degree at Radboud University. It offers a partial or full tuition fee waiver and a monthly stipend to help cover living costs. The scholarship is highly competitive and is awarded based on academic merit, with candidates needing to demonstrate exceptional academic achievements in their previous studies.
Holland Scholarship: The Holland Scholarship is a national scholarship program designed for international students from outside the European Economic Area (EEA). Offered by the Dutch Ministry of Education, Culture, and Science in collaboration with Radboud University, this scholarship provides financial assistance to students who wish to study a Bachelor's or Master's program at a Dutch university. The scholarship is a one-time payment intended to help cover part of the tuition fees for the first year of study. To be eligible, students must meet specific academic requirements and have been admitted to an eligible program at Radboud University.
Erasmus+ Programme: Radboud University participates in the Erasmus+ Program, which offers scholarships for international students to study in Europe. Through Erasmus+, students can receive financial support for study abroad exchanges, internships, and research projects. This program is available to students from participating universities around the world, providing an opportunity for international students to gain experience at Radboud University while being funded through this EU initiative.
Faculty-specific Scholarships: Several faculties at Radboud University offer additional scholarships for international students enrolled in specific programs. These scholarships are often based on academic excellence, research potential, and the student's country of origin.
External Scholarships: In addition to scholarships provided by Radboud University, international students may also be eligible for external funding opportunities from other organizations, government agencies, or foundations. These scholarships may be available for students based on various factors, such as nationality, field of study, or financial need. Students are encouraged to explore external scholarship options through Dutch embassies, private organizations, and global scholarship portals.
Graduates of the MSc in Artificial Intelligence - Intelligent Technology from Radboud University are highly sought after in the rapidly growing fields of AI, robotics, smart systems, and autonomous technologies. The program equips students with a deep understanding of AI algorithms and intelligent systems, enabling them to pursue various career paths in research, development, and application.
AI Developer: Designing and developing intelligent software systems that use AI and machine learning techniques to solve complex problems and improve user experiences. AI developers work in a variety of industries, including healthcare, finance, and technology.
Robotics Engineer: Specializing in the design and implementation of intelligent robotic systems that can interact with humans and perform tasks autonomously. Robotics engineers can work in fields such as manufacturing, automation, and autonomous vehicles.
Autonomous Systems Engineer: Developing autonomous systems, such as self-driving cars, drones, or robotics, that can operate independently in dynamic environments. These engineers apply their knowledge of AI, sensors, and control systems to create safe and reliable autonomous technologies.
Smart Systems Engineer: Designing and implementing IoT (Internet of Things) solutions and smart technologies that enable devices to communicate, analyze data, and make autonomous decisions. Smart systems engineers are in demand in sectors like smart homes, agriculture, and healthcare.
Machine Learning Engineer: Creating and optimizing machine learning models that enable intelligent systems to learn from data and improve performance over time. These professionals work with large datasets and cutting-edge algorithms in fields such as natural language processing, computer vision, and predictive analytics.
AI Research Scientist: Conducting research to develop new AI methodologies, algorithms, and frameworks that advance the field of intelligent technologies. Research scientists can work in academia, research labs, or innovation-driven industries.
Human-Robot Interaction Specialist: Focusing on improving the interaction between humans and robots, ensuring that robotic systems are intuitive, safe, and user-friendly. Specialists in human-robot interaction work on developing interfaces and solutions that allow robots to better understand human behaviors and respond accordingly.
Data Scientist: Leveraging AI and machine learning techniques to analyze and interpret large datasets, identifying trends and insights that can drive business decisions and technological innovations. Data scientists play an essential role in industries like finance, healthcare, and technology.
AI Product Manager: Leading teams to develop AI-powered products that are innovative, user-centered, and commercially successful. AI product managers oversee product design, development, and deployment while ensuring alignment with market needs and business goals.
AI Consultant: Advising companies on how to implement and integrate AI solutions within their operations to solve business challenges, optimize processes, and enhance decision-making capabilities.
