Computer Science SWPS University

Overview

The Computer Science programme offered by SWPS University of Social Sciences and Humanities is a programme with a practical profile where you will:

• acquire knowledge about algorithms, data structures, computational complexity theory, data optimization and data analysis

• learn to code in the most popular programming languages, such as Python, Java, and JavaScript

• learn tools necessary for any developer, such as protocols, libraries, and frameworks

• learn how to diagnose, prevent, and resolve cyber threats

• learn how to design and implement AI systems

• develop soft skills indispensable while working with clients and design teams

• apply the newly acquired knowledge and skills to real projects, thanks to workshops, individual and team projects, and internships

• realize that math is need and can be fascinating and easy if taught effectively

Knowledge and skills sought after by employers

The Computer Science programme at SWPS University offers much more than just programming skills and app design. Thanks to the social sciences and humanities components of the programme, you will learn how to spot and solve social problems using computer science theory and tools. Being an effective computer science professional requires good understanding of human needs and behavior, therefore you will also learn the basics of psychology. We will also teach you how to design solutions in interdisciplinary teams, which will prepare for a smooth transition from the academic to professional environment.

You will acquire practical skills in various areas of computer studies

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.