Computer Science

Uczelnia
NHL Stenden University of Applied Sciences
Miasto, kraj
Emmen, Netherlands
Czas trwania studiów
4 lata
Zakres programowy
Computer Sciences, Data Science & Big Data, Web Technologies & Cloud Computing, Computer systems
Koszty studiowania
2530.00 EUR
Język nauczania
English (ENG)
Rodzaj studiów
Bachelor
Rozpoczęcie studiów
2024-09-02
Zakończenie rekrutacji
2024-06-20
O programie
Wymagania rekrutacyjne
Możliwości kariery
Develop skills in digitalisation, data science and programming hardware with this bachelor's degree. Explore your passion for technology and apply your analytical skills to practical problem solving.

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.

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.
Wymagania rekrutacyjne
  • Wypis ocen – jeśli wciąż się uczysz i dlatego nie masz jeszcze świadectwa ukończenia szkoły średniej, bardzo ważne jest załączenie wypisu. Szczegółowe informacje na temat sposobu wypełniania tego dokumentu oraz termin jego przesłania znajdziesz tutaj.
  • Świadectwo dojrzałości i świadectwo ukończenia szkoły średniej – w przypadku ukończenia szkoły średniej nie potrzebujesz wypisów ocen – wystarczy, że do formularza aplikacyjnego załączysz Świadectwo dojrzałości wraz ze świadectwem ukończenia liceum/technikum.

Przed aplikacją sprawdź wymagania bezpośrednio na stronie uczelni. W przypadku problemów ze znalezieniem szczegółowych, aktualnych wymagań, skontaktuj się z konsultantami Kastu.

Wymagania odnośnie języka angielskiego

Spełnienie wymagań w zakresie języka angielskiego można udokumentować w jeden z następujących sposobów:

  • IELTS - 6.0 (zalecane jest nie mniej niż 5.0 z każdej z części)
  • TOEFL – 80

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