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