COMPUTER SCIENCE

The Artificial Intelligence and Data Science specialization on the second-cycle studies is the “expert” level. This is the path for those who want to go beyond programming and become architects of data-driven solutions. The program was consulted and given a positive opinion by Sii Polska, which ensures that the issues taught are of key importance for the largest players on the IT market.

The specialization is a natural continuation of the first-cycle studies, but thanks to catch-up courses (such as the programming fundamentals of data analysis), it is also open to graduates of other IT paths who want to profile their careers towards AI.

Why should you choose this specialization on the second-cycle studies?

• Enterprise scale: We are no longer learning using just small datasets. We focus on Big Data architecture and systems that need to process millions of records in real time.
• AI in business: We are moving from the theory of algorithms to cognitive technologies and solutions that actually increase the profits of companies.

Advanced competency blocks:

The program of the second-cycle studies focuses on the strategic aspects of data and artificial intelligence:

• Architecture and infrastructure: You will learn how to design powerful Big Data systems that are the backbone of modern corporations.
• Strategic level analytics: You will master advanced reporting, visualization and Business Intelligence (BI) systems in the context of a company.
• Advanced AI models: You will explore natural language processing (NLP) technologies and modern cognitive technologies supporting decision-making processes.
• Competency bridge: If you have not graduated from this specialization on the first-cycle studies, the programming fundamentals of data analysis course will allow you to smoothly enter the world of advanced Data Science.

Your career prospects:

As an engineer with a master’s degree in this specialization, you aim for top positions in the technology sector:

• AI Architect – designer of complex systems based on artificial intelligence.
• Big Data Engineer – specialist in building and maintaining a large-scale data infrastructure.
• BI Consultant / Manager – leader of analytics teams in large organizations.
• Senior Data Scientist – expert in modelling and extracting value from business data.

Have you ever wondered how to transfer the principles of the human brain to code? The Artificial Neural Networks and Neuromodelling specialization is an advanced program focused on the architecture of intelligence. Here, science meets engineering, preparing you to work on the most ambitious projects in the field of Deep Learning and Computer Vision.

Classes conducted by experienced professionals and scientists allow you to acquire knowledge that is crucial in the R&D (Research & Development) sectors, technological medicine and autonomous systems.

Why should you choose this specialization?

• Deep specialization: We focus on the most advanced models of neural networks, going far beyond standard machine learning algorithms.
• Computer Vision: You will acquire practical skills in the area of image and video recognition, a technology that drives, among others, autonomous vehicles and modern medical diagnostics.
• Innovative neuromodelling: It is a unique part of the program that will allow you to learn about the biological inspirations in the creation of artificial intelligence, which is becoming a key trend in the construction of next-generation systems.

What will you learn in practice?

The program of the second-cycle studies emphasizes the design of complex intelligent systems:

• Artificial neural networks: Advanced Deep Learning techniques, architecture optimization and working with multi-layered information processing systems.
• Computer Vision: Image processing and analysis, object detection and real-time implementation of vision algorithms.
• Neuromodelling: Modelling of neural processes and their mathematical simulation, which allows the creation of more effective and innovative AI models.

Your career prospects:

As an engineer with a master’s degree with this profile, you are a sought-after expert in the areas of high technology:

• R&D Engineer (Research & Development) – designer of innovative AI solutions.
• Computer Vision Engineer – specialist in image recognition systems.
• Deep Learning Specialist – architect of advanced neural networks.
• Bio-inspired AI Developer – creator of modern systems modelled on biological structures.

The Cybersecurity specialization on the second-cycle studies is a proposal for people who want to join the ranks of experts in digital security. The second-cycle program goes beyond standard systems protection – here you will learn to think like an attacker to better defend infrastructure and manage security at the strategic and state levels.

Classes conducted by experienced professionals (security specialists and auditors) guarantee access to the latest tools and knowledge about the real threats faced by corporations and public institutions today.

Why should you choose this specialization on the second-cycle studies?

• Offensive perspective: Not only do you build walls, but you learn to test them using professional penetration tests.
• Global context: As one of the very few programs, we address the topic of cyber warfare and security policy, which allows you to understand the geopolitical dimension of IT.
• Operational readiness: With incident detection classes, you will learn to respond instantly to attacks in real time, minimizing your organization’s losses.

What will you learn in practice?

The program of the second-cycle studies is an intensive training in key areas of advanced security:

• Penetration tests: You will learn to attack systems and applications in a controlled way to find vulnerabilities before hackers do.
• Incident response: You will master network monitoring and intrusion identification techniques, as well as post-incident procedures.
• Strategy and policy: You will understand how to create cybersecurity policies and the importance of conflicts in cyberspace for the modern world.
• Information security management: You will learn how to design complete management systems (compliant with standards), combining technical with legal and human aspects.

You career perspectives:

As an engineer with a master’s degree in the specialization of Cybersecurity, you are ready to take on strategic roles:

• Penetration Tester / Ethical Hacker – specialist in testing the resilience of systems.
• Security Analyst / Incident Responder – expert in detecting and neutralizing attacks.
• Information Security Manager – the person responsible for the company’s security strategy.
• Cybersecurity Consultant – data protection and critical infrastructure advisor.