Applied Data Science and Artificial Intelligence Zuyd University of Applied Sciences

Overview

Get ready to challenge real-world problems with a practical approach, using logic for instance with the   Applied Data Science and Artificial Intelligence program at Zuyd University of Applied Sciences .

Key Facts

Technology is important, but there’s more to it. Embrace curiosity and creativity as part of your identity. You're not just learning about AI; you're shaping it. What is the impact of AI on society? What about ethics? Dive into understanding and influencing how humans and society interact with AI. If blending tech-savvy with a human touch excites you, then Applied Data Science & Artificial Intelligence is your calling.

Check out our Miro board where you will find all kinds of practical information for a successful launch at the Applied Data Science & Artificial Intelligence programme. Also, check the Get Prepared page of Zuyd.

Kick off your week with captivating lectures, where you and your international peers explore new topics. In group discussions you dive deeper into the material with your group, always guided by a lecturer. You need to dedicate about 40 hours a week to your studies, mostly working on innovative projects. Initially, these are practice projects, but soon you'll be working on real-world regional innovations. This often involves collaborating with companies like those of our partner at the Brightlands campuses.

Career opportunities

Data scientists and AI engineers are in high demand in the Netherlands, with a growing number of job openings and increasing salaries. According to LinkedIn's 2023 Emerging Jobs Report, Data Scientist is the third most in-demand job in the Netherlands.

• Data Scientist: Data scientists are responsible for collecting, cleaning, analyzing, and interpreting large datasets to extract meaningful insights and inform business decisions.

• Machine Learning Engineer: Machine learning engineers build and maintain machine learning models, ensuring they function effectively and meet specific requirements.

• Business Intelligence Developer: Business intelligence (BI) developers design and build BI dashboards, reports, and data visualizations to help businesses make informed decisions.

• Artificial Intelligence Engineer: Artificial intelligence (AI) engineers develop and implement AI-powered solutions, such as chatbots, virtual assistants, and image recognition systems.

• Data & AI Consultant: Data and AI consultants advise businesses on how to leverage data science and AI to improve their operations, enhance customer experience, and gain a competitive edge.

• Research and Development (R&D) Scientist: Involved in pioneering new AI-technologies or applications, often requiring a higher level of theoretical understanding.