Osaamistavoitteet:
On the completion of this program, the graduates will be able to:
1. Describe and adapt computer science, software engineering knowledge, best practices, and standards appropriate to engineering complex software systems.
2. Analyze a problem; identify and elicit functional, non-functional and sustainability requirements appropriate to its solution.
3. Demonstrate the empiricism and familiarity with the methods of academic research and writing.
4. Design, evaluate, and adapt software processes and software development tools to meet the needs of an advanced development project.
5. Elicit user needs and design an effective software solution.
6. Logical, convincing, and effective communication both orally and in writing
7. Function effectively in teams and adapt teaming strategies to improve the productivity.
8. Recognize human, security, social, entrepreneur issues and responsibilities relevant to engineering software and digitalization of services.
9. Integrate into a multi-cultural working environment with practical orientation and collaborating in professional networks.
10. Acknowledge life-long learning as a way to stay up to date in the profession.
Software Engineering specialization
11. Design software systems and define architectures in open and distributed environments in holistic and integrative manner
12. Apply software engineering best practices and standards for software development and evolution of diverse types of software systems.
Responsible Information Systems Development specialization
13. Understand and apply ethical, regulatory, and sustainability considerations in the design and development of any information system, including AI systems.
14. Gain proficiency in software engineering, user experience design, and data-intensive systems to build efficient information systems.
15. Acquire skills to design systems that prioritize data privacy and cybersecurity, adhering to legal and ethical standards.
16. Learn how to align business strategies with digital economy demands, in particular integrating AI to drive decision-making.
17. Use advanced data intelligence techniques to extract valuable insights for decision making.
18. Apply various research methods to investigate challenges and propose solutions.