Computer Science

1. Math fundamentals

   You will learn the key fundamentals of logic, linear algebra, mathematical analysis, theory of probability, and statistics, which are indispensable in understanding advanced concepts in computer science.

2. Programming and algorithmics

   You will learn various programming languages and understand algorithms, which will enable you to write effective and efficient programs required to develop webpages, mobile applications, computer games, and systems for business and finance.

3. Data analysis and modeling

   You will develop analytical skills, which are crucial in solving computer science problems and data-driven decision-making (DDDM). Professional data analysis and modeling help you to draw conclusions from available data and design appropriate responses. You will learn various analytical methods, such as statistical forecasting, logical synthesis, and complex network analysis. These skills are sought after by employers.

4. Cloud computing

   Nowadays, an increasing number of companies around the world use cloud computing. Therefore, knowledge of cloud technology and the ability to manage virtual machines is indispensable for all professionals whose work is concerned with cyberspace.

5. Designing information systems

   You will learn how to design complex information systems such as data bases and system architecture. Information system design matches optimal IT solutions with clients’ requirements so that all system elements work as an integral whole and are aligned with current standards and norms.

6. Cybersecurity – specialization

   You will learn about crucial techniques and tools, such as cryptography, computer networks, risk management, digital forensic analysis and pen tests that are used to protect information systems from cyber threats.

7. Artificial Intelligence and Machine Learning – specialization

   You will learn how to design and implement AI systems, including machine learning, natural language processing, and data analysis.

8. Technology-assisted problem solving

   As a professional computer scientist, you will be able to solve problems by designing algorithms and data structures, and by implementing solutions with the use of an appropriate programming language.

9. Soft skills in the IT industry

   Apart from the professional IT skills, you will also need soft skills to develop innovative products and services. To design for people, you need to understand their needs and behavior. You will learn fundamentals of psychology and how to work in interdisciplinary teams, which will be helpful in your transition to the job market.

Our Computer Science program offers two development paths: Cybersecurity and Artificial Intelligence and Machine Learning*. This allows you to follow your interests and focus on your career plan. Do not fret, we give you time to make this decision – you first apply to our Computer Science program and choose your specialization at the beginning of the 5th semester. Then you focus on the selected specialization for the last three semesters (5, 6 and 7).

*Please note, the availability the specializations is subject to sufficient interest in a given specialization path.

1. Cybersecurity

   If you choose this specialization, you will gain comprehensive knowledge and skills indispensable for safeguarding information systems against various cyber threats. The program focuses on a range of issues, such as cryptography, computer networks, risk management, digital forensic analysis, and penetration tests (pen tests). We focus on practical skills, therefore a large portion of classes take the form of practicals.

   Selected classes:

   • Digital forensics
   • Security of computer systems
   • Introduction to pen tests
   • Cryptographic methods and techniques
   • Security of online applications
   • Data protection systems.

2. Artificial Intelligence and Machine Learning

   If you choose this specialization, you will learn how to design, develop and utilize systems, which mimic human intelligence, including machine learning, natural language processing, and data analysis. We focus on practical skills, therefore a large portion of classes take the form of practicals.

   Selected classes:

   • Advanced methods of data analysis
   • Cloud computing
   • Explainable AI models
   • Computer vision
   • Natural language processing
   • Selected advanced methods of machine learning in data analysis.

1. Programing

   You will be able to write computer programs in selected languages and take advantage of tools, protocols as well as front-end and back-end libraries and frameworks. You will learn to work in programming teams and liaise with clients with respect to designing and developing computer software.

   • Desktop application developer
   • Cloud application developer
   • Online application developer
   • Mobile application developer
   • Data base developer
   • Business software developer
   • Internet of things (IoT) developer

2. Data analysis and computational intelligence

   You will be able to gather, generate and transform data for numerous analytical models, for example to test security of a given software by running user tests or to examine software performance with the goal to improve it. Using your humanities and social sciences knowledge, you will be able to develop and evaluate practical prediction models, which use machine learning and artificial intelligence in various aspects of life such as medicine, banking, marketing, pharmacology, and even politics.

   • Data Scientist
   • Machine Learning Engineer
   • Profiling Engineer
   • Big Data Architect
   • Data Processing Specialist

3. Administration and Quality Assurance (QA)

   You can become a specialist in the field of managing data bases, infrastructure and access to computer programs. As a network administrator you will oversee communication between information systems. You will be able to manage these systems, starting with the development of their architecture and security, through the implementation of new code versions, to supporting the system’s performance.

   • Cloud Systems Administrator
   • Data Base Administrator
   • Network Administrator
   • Information Systems Administrator
   • QA Specialist
   • Delivery Manager

4. Analytics and Management

   Over your professional career, as a holder of a degree in Computer Science from SWPS University, you will be able to take on other positions requiring the ability to translate business requirements to the functioning of information systems, managing IT projects, developing information technology solutions, and developing information technology systems.

   • Business Systems Analyst
   • Technical Project Manager
   • Solutions Architect
   • Systems Architect
   • IT Security Architect

5. Cybersecurity – specialization

   Teams specializing in data protection and cybersecurity of internal systems require many different specialist to prevent cyber-attacks. This specialization will prepare you to undertake various roles in the broad area of cybersecurity, such as.

   • Analyst
   • Consultant
   • Cybersecurity Specialist
   • Researcher

6. Artificial Intelligence and Machine Learning – specialization

   This specialization will prepare you for a career in various sectors of the economy that use advanced technologies, such as industry, health care, finance, and automation, where you can work as:

   • Data Analyst
   • Artificial Intelligence Engineer
   • Natural Language Processing Specialist
   • Researcher
   • Software Developer