Information Technology - Structure of Studies
The curriculum presented reflects the current programme, but individual study paths may vary. For the latest details, please contact the Degree Programme Director.
Joint Modules
General Education Studies 15 ECTS
| Name | Credits | Study year |
| Technology and Learning | 5 | 1 |
| Teamwork and Innovation | 5 | 1 |
| Ethical and Sustainable Societal Development | 5 | 1 |
Professional Communication 15 ECTS
| Name | Credits | Study year |
| Swedish for Beginners 1 | 5 | 1 |
| Swedish for Beginners 2 | 5 | 1 |
| English Academic Writing | 5 | 3 |
Full Stack Development 30 ECTS
Master web platforms, frameworks, and languages. Build responsive, user-friendly apps, visualize data, and design sleek interfaces.
| Name | Credits | Study year |
| Web Development | 5 | 1 |
| Front-End Programming | 5 | 1 |
| Back-End Programming | 5 | 1 |
| Web Communication and Databases | 5 | 1 |
| Computer Architecture and Networking | 5 | 1 |
| Frameworks and Web Applications | 5 | 2 |
Programming and 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.
| Name | Credits | Study year |
| Mathematical Programming | 5 | 1 |
| Vectors and Forces | 5 | 1 |
| Statistics and Probability | 5 | 2 |
| Oscillation and Particle Systems | 5 | 2 |
| Programming Paradigms | 5 | 2 |
| Data Structures and Algorithms | 5 | 2 |
Development Studies 30 ECTS
- Elective studies chosen from other programmes at Arcada or other higher education institutions.
Service Oriented Architectures and Development Practices 30 ECTS
Build scalable, reliable software with CI/CD, DevOps, cloud computing, and cybersecurity. Collaborate effectively and prioritize sustainability.
| Name | Credits | Study year |
| Cyber Security | 5 | 2 |
| Introduction to Machine Learning | 5 | 2 |
| Cloud Services | 5 | 2 |
| Software Development Process - DevOps | 5 | 3 |
| Data Pipelines | 5 | 3 |
| Optimisation | 5 | 3 |
Research Studies 30 ECTS
Solve complex problems, validate knowledge, and promote ethical research. Debate theories, and advocate for informed, responsible decision-making.
| Name | Credits | Study year |
| Fundamentals of Research Methodology for Engineers | 5 | 3 |
| Advances Research Methodology for Engineers | 5 | 3 |
| Applied Research Methodology for Engineers | 5 | 3 and 4 |
| Degree Thesis | 15 | 5 |
Practical training 30 ECTS
| Name | Credits |
| Practical Training 1 | 15 |
| Practical Training 2 | 15 |
Elective Study Tracks
After the start of your studies, you will choose one of two study tracks: Intelligent Robotics or Data processing and Analytics.
Intelligent Robotics 30 ECTS
Design smart, user-centric systems for IoT and robots. Build digital twins, autonomous agents, and integrate LLMs for smarter AI interactions.
| Name | Credits | Study year |
| Introduction to Social Robotics | 5 | 3 |
| UI/UX design | 5 | 3 |
| Computer Vision | 5 | 3 |
| Sensors and IoT | 5 | 3 |
| Digital Twins | 5 | 4 |
| Embodied Artificial Intelligence | 5 | 4 |
Data processing and Analytics 30 ECTS
Manage data, master analytics, and create ML-based solutions. Turn raw data into insights, optimize outcomes, and design scalable databases.
| Name | Credits | Study year |
| Descriptive Analytics | 5 | 3 |
| Deep Learning | 5 | 3 |
| Predictive Analytics | 5 | 3 |
| Generative AI | 5 | 3 |
| Visual Analytics | 5 | 4 |
| Modern Computational Platforms | 5 | 4 |