The specialization "Applied Computer Science in Business is a prestigious programme combining IT knowledge with business and management skills.
We educate graduates ready to take on challenges related to application development, cyber security, cloud computing, data analysis or artificial intelligence.
Our specialisation is the choice for those who want to effectively combine technology and management, growing in one of the fastest-growing sectors of the economy.
Curriculum covers:
- information systems design and development: you will learn to design, develop and implement efficient and secure information systems, using the latest technologies and methodologies,
- information systems management: you will gain knowledge of information systems management, including planning, monitoring, optimizing and securing IT infrastructure,
- data analysis: you will master data analysis techniques that will allow you to draw conclusions from large data sets and use them to make sound business decisions,
- artificial intelligence: you will learn the basics of artificial intelligence and machine learning, and you will learn how to use these technologies to solve real business problems,
- cybersecurity: you will gain knowledge about cyber security and protecting information systems from threats. Students in the cyber-security subject rework the material that enables them to become certified Certified in Cybersecurity,
- IT Project Management: you will learn how to effectively manage IT projects by planning tasks, delegating responsibilities and monitoring progress,
- communication and Collaboration: you will master the art of effective communication and team collaboration, which is essential for business success,
- business Skills: you will gain basic knowledge of management, finance and accounting, which will help you better understand the business context of IT projects,
- programming: you will master the Python programming language, which is one of the most popular programming languages in the field of computer science and data analysis.
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