Help design the world of tomorrow by making sense of vast volumes of data and by engineering systems that drive progress in any sector and business.
How can you extract value from the immense volumes of data generated at unprecedented rates nowadays? Data is everywhere and powers everything we do. Hospitals are increasingly using data to identify patients at risk of developing diseases and to provide personalised prescriptions based on medical history. Logistics and transport companies use data to track vehicles in real time, so they can optimise routes to reduce fuel consumption. Data science and technology plays a significant role in athletes’ performance analysis and sports injury prevention. If you want to work with complex forms and combinations of data from texts, images, sounds, and sensors to design, develop, and implement software systems and infrastructures for various applications and domains, the specialisation in Data Science & Technology is right for you!
This specialisation teaches you to design, develop, and implement models, software systems, and infrastructures to analyse large amounts of data. You will learn the fundamental data science principles of storing, processing, and transmitting data along with the theory and techniques of machine learning and statistics. Depending on your interests, you can customise your programme by choosing one of our four suggested profiles.
You can, for example, become a specialist in a specific type of data, such as text data, and go in the direction of natural language processing or specialise in image, sensor networks, or time-series data. What about designing a smart service such as a predictive maintenance solution for car parts that predicts when they are likely to break down? Or you can focus on designing new machine learning algorithms and investigate how predictive models can be made explainable such that we can detect and remove unwanted biases and shortcuts from them. Are you interested in multidisciplinary research? If you want to develop a machine learning model that helps a clinician diagnose breast cancer, you can take courses to learn more about healthcare or another domain of your interest.
Learn from real-life situations
Thanks to the state-of-the-art labs and research facilities at the EEMCS faculty and the local infrastructure with more than one petabyte of storage space for analysing large datasets, you will gain hands-on experience and work on real-life problems and solutions. For example, you can contribute to explainable AI research and learn to build machine learning algorithms that explain the predictions and the reasoning that brought to them. This way, you can build an AI system that assists a clinician in diagnosing breast cancer by showing on the mammograms why the AI thinks the diagnosis is malignant or benign. What about designing models that can predict traffic jams one hour in advance? Or are you interested in building 3D models of a building from 2D floorplans or sensor readings to assess its structural weaknesses, fire risks, and accessibility issues?
As a graduate of the Master's in Computer Science with a specialisation in Data Science & Technology, you have acquired specific scientific knowledge, skills, and values that will help you in your future career.
Is this specialisation not exactly what you are looking for? Maybe one of the other specialisations suits you better. You can also find out more about related Master’s at the University of Twente: