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Keen to pursue a career in computer science and data science after obtaining an academic bachelor's or master's degree? Master in Applied Computer Sciences is just what you're looking for: develop the necessary computer and data science skills during specialised courses!

What do you learn on the master's programme? 

Data is the future. Our world depends on it. Connecting and informing us with sensors, actuators, cameras, devices, mobile phones, social media … Transforming and futureproofing our cities, healthcare, economy, environment… With this master in Applied Computer Science you’ll master the skills required to become an ICT engineer capable of designing smart systems and applying analytics on the heterogeneous data they provide.

The programme at a glance:

In the first year of the programme, we focus on developing fundamental computer science skills. Elective courses in the second year allow you to specialize in domains, such as big data analytics, artificial intelligence, bioinformatics, machine learning, internet-of-things systems, biomedical engineering, embedded software, or remote sensing, as well as many other possibilities. Practical sessions, a master's thesis and an optional internship are also included in the study programme.

The strenghts of the Applied Computer Science master's programme:

• Your curriculum is highly customisable thanks to a wide range of elective courses, plus an optional internship.
• You benefit from excellent interaction with an extensive range of researchers from four departments.
• You’ll be armed for a career as data scientist or engineer thanks to a broad education in generic smart systems design, specialist choices and indispensable future-oriented skills.

After graduation:

A master's degree opens doors in many different branches and sectors. As a master in applied computer science, all kinds of positions are possible, including research engineer, software developer, system architect, IoT engineer, data scientist and data engineer, business developer and consultant. Or why not continue your academic career as a PhD researcher?