Information Technology - Structure of Studies

The curriculum shown is an example and might not fully match your actual studies. For the latest details, contact the Degree Programme Director. Please also note that you are expected to bring your own laptop to campus for carrying out your studies.

Joint Modules

Full Stack Development 30 ECTS

Master web platforms, frameworks, and languages. Build responsive, user-friendly apps, visualize data, and design sleek interfaces.

  • Web Development
  • Front-End Programming
  • Back-End Programming
  • Web Communication and Databases
  • Frameworks and Web Applications
  • Cyber Security

Programming & Applied Natural Sciences 30 ECTS

Solve problems with logic, math, and physics. Write efficient, professional code, plan applications, simulate real-world scenarios, and master programming paradigms.

  • Mathematical Programming
  • Vectors and Forces
  • Statistics and Probability
  • Oscillation and Particle Systems
  • Programming Paradigms
  • Data Structures and Algorithms 

Service Oriented Architectures & Development Practices 30 ECTS

Build scalable, reliable software with CI/CD, DevOps, cloud computing, and cybersecurity. Collaborate effectively and prioritize sustainability.

  • Computer Architecture and Networking
  • Introduction to Machine Learning
  • Cloud Services
  • DevOps
  • Data pipelines
  • Optimisation

Research Studies 30 ECTS

Solve complex problems, validate knowledge, and promote ethical research. Debate theories, and advocate for informed, responsible decision-making.

Practical training 30 ECTS

General Education Studies 15 ECTS

  • Technology and Learning
  • Teamwork and Innovation
  • Ethical and Sustainable Societal Development

Professional Communication 15 ECTS

  • English professional communication
  • Swedish for Beginners 

Development studies 30 ECTS

  • Electives chosen from other programmes at Arcada or other higher education institutions.

Specialisation Modules:

Intelligent Robotcs 30 ECTS

Design smart, user-centric systems for IoT and robots. Build digital twins, autonomous agents, and integrate LLMs for smarter AI interactions.

  • Introduction to Social Robotics
  • UI/UX-design
  • Computer Vision
  • Sensors and IOT
  • Digital Twins
  • Embodied Artificial Intelligence 

Data processing & Analytics 30 ECTS

Manage data, master analytics, and create ML-based solutions. Turn raw data into insights, optimize outcomes, and design scalable databases.

  • Descriptive Analytics
  • Deep Learning
  • Predictive Analytics
  • Generative AI
  • Visual analytics
  • Modern Computational Platforms