Computer Science
The Computer Science programme at NHL Stenden offers a comprehensive curriculum that equips students with the skills needed to be a professional in the fields of artificial intelligence, digitalisation, robotics and data science. The programme also covers ethical considerations, privacy concerns and cyber security.
During the Computer Science programme you will learn how to program microcontrollers, for example, a small autonomous robot. The programme focuses on areas such as digitalisation, industrial automation and robotics, AI, machine learning and computer vision. You will be trained as a specialist in these areas over the course of the four-year programme. We also focus on areas such as ethics and security. In addition to the technical classes, you also learn professional skills, such as managing project-based work and agile development.
Explore your passion for smart technology and problem solving in the Computer Science bachelor's degree, where you'll develop skills in digitalization, data science, and hardware programming. This new programme in the Netherlands focuses specifically on artificial intelligence and machine learning, addressing the high demand for experts shaping innovations in healthcare, smart technologies, and beyond.
Minors and specialisations for Computer Science
In your fourth year of Computer Science, you get to specialise by taking a number of minors.
- Certified Ethical Hacking (Emmen, the Netherlands). Learn how to help companies guard against cyber attacks with this unique minor in Certified Ethical Hacking. Learn how attackers work and the steps you need to take to protect a system.
- Secure Programming (Emmen, the Netherlands). Offering insights into the software development life cycle and how secure programming can be made part of the cycle.
- Hack@Sea (Leeuwarden, the Netherlands). Carry out research in the context of maritime cyber security looking into areas such as AIS spoofing, port systems and cyber awareness for maritime employees.
- Cyber Resilience of Citizens and Organisations (Leeuwarden, the Netherlands). Explore possibilities for human, organisational and technological measures. In this way we make citizens and organisations digitally resilient.
- Pažymių išrašas - jei dar nesi baigęs mokyklos, būtina prisegti pažymių išrašą. Smulkesnę informaciją kaip pildyti išrašą ir kada jis reikalingas, rasi čia.
- Brandos atestatas – jei jau esi baigęs mokyklą, išrašo nereikia, užtenka anketoje prisegti savo Brandos atestatą.
Pastaba:
- Motyvacinis laiškas yra privalomas dokumentas stojant į šio universiteto programas.
- CV - stojant į visas bakalauro programas reikia pateikti savo CV.
- Vienas iš stojimo etapų yra Study Matching Questionnaire - klausimynas.
Anglų kalbos žinias gali patvirtinti vienu iš šių būdų:
- turėti anglų kalbos pažymį Brandos atestate ir išlaikyti Anglų kalbos valstybinį egzaminą (egzamino rezultatas nėra svarbus, svarbiausia, kad jį išlaikytum)*
arba
- išlaikyti IELTS arba TOEFL testą.
*Jeigu nori pasitikrinti ar tavo anglų kalbos žinios yra pakankamos studijuoti Nyderlandų aukštosiose – suteikiame galimybę laikyti Oxford anglų kalbos testą. Nors anglų kalbos testas nėra reikalaujamas, patartina žinoti savo galimybes ir kalbos lygį.
As a Computer Science expert, you’ll have highly developed conceptual skills, be able to work in and manage a team and have the knowledge and skills to understand and take on a variety of roles.
Careers open to you after graduation include:
- Industrial Automation and Robotics: contribute to the design and implementation of automated systems, working in sectors like manufacturing, process industries, and logistics, where robotics can optimize efficiency
- Research and Development: improve and develop machines and systems, for example in the health care industry, consumer electronics or manufacturing industry
- Data Science: analyse big data to identify trends, make predictions and support decision-making for insurance, financial or big tech companies or the government
- Machine Learning: with the rise of artificial intelligence (AI), you can work on developing algorithms and models for machine learning applications
- Embedded Systems: program smart solutions for available hardware and work on identifying new technological opportunities and innovations for organisations
