Computer Vision & Biometrics – Master’s Specialisation in Electrical Engineering

The Computer Vision & Biometrics (CVB) specialisation is one of the key tracks within the Electrical Engineering Master’s programme at the University of Twente. It combines advanced machine learning with classical signal processing techniques to teach students how to recognise and analyse objects, forms, and patterns — not just through traditional cameras, but also with a wide range of sensors.

What You'll Learn

In CVB, students explore both the theory and practice of:

• Computer Vision – From image processing to machine learning models that detect and classify visual input.
• Biometrics – Covering four key modalities: Face, Fingerprint, Finger Vein, and Iris recognition.

This specialisation also tackles pressing ethical and societal challenges. For example, students examine how face morphing is used by criminals to forge passports that multiple individuals can use, or how deepfakes are created to impersonate public figures such as politicians.

📺 Watch the full video

In the video, Luuk Spreeuwers (Programme Mentor), Gayathri Dhanapal, and Raj Kumar (Master’s students) share their experiences with the CVB specialisation, including the courses, applications, and career paths.

Career Perspectives

Graduates from the CVB track are well-prepared for careers in industries such as security, health tech, artificial intelligence, smart surveillance, and more. From developing biometric authentication systems to contributing to research on ethical AI, the job prospects are broad and impactful.