Program Overview

Program Overview

The Applied Computer Science program at the AGH University of Science and Technology is a master's degree program that offers students a comprehensive education in computer science and engineering. The program is designed to provide students with a strong foundation in computer science, as well as the skills and knowledge needed to succeed in the field.

Program Description

The program is a two-year, full-time course of study that covers a wide range of topics in computer science, including programming, data structures, algorithms, computer architecture, and software engineering. The program also includes courses in mathematics, statistics, and electronics, as well as a number of elective courses that allow students to specialize in areas of interest.

Program Requirements

To be admitted to the program, students must have a bachelor's degree in computer science, engineering, or a related field, as well as a strong foundation in mathematics and programming. Students must also demonstrate proficiency in English, as the program is taught in English.

Curriculum

The curriculum for the program includes the following courses:

• Analiza i przetwarzanie obraz闚 (Image Analysis and Processing)
• Fizyka wsp鏂zesna w informatyce (Modern Physics in Computer Science)
• Programowanie zespoowe (Team Programming)
• Systemy r闚nolege i rozproszone (Parallel and Distributed Systems)
• Sztuczne sieci neuronowe (Artificial Neural Networks)
• Uczenie maszynowe (Machine Learning)
• Zaawansowane technologie internetowe (Advanced Internet Technologies)

Elective Courses

Students in the program can also choose from a number of elective courses, including:

• Algorytmy genetyczne (Genetic Algorithms)
• Data science na przykadzie zagadnie w firmie Ericsson (Data Science with Ericsson)
• Inynieria system闚 rozproszonych na przykadzie Allegro (Distributed Systems Engineering with Allegro)
• Kryptografia (Cryptography)
• Machine learning - advanced (Advanced Machine Learning)
• Podstawy SOLIDnego programowania (SOLID Programming Principles)
• Podstawy tworzenia aplikacji w oparciu o usugi Azure (Relativity) (Azure Application Development)
• Podstawy tworzenia aplikacji w oparciu o usugi Google Cloud (Sabre Academy) (Google Cloud Application Development)
• Smart dom (Smart Home)
• Wprowadzenie do Internetu Rzeczy (Nordic Semiconductor) (Introduction to the Internet of Things)
• Wsp鏂zesne systemy wbudowane (Modern Embedded Systems)
• Zapewnianie jakoci w projektach IT (Sabre Academy) (IT Project Quality Assurance)
• Programowanie systemowe (System Programming)
• Modelowanie 3D dla gier komputerowych (3D Modeling for Computer Games)
• AI Security (Artificial Intelligence Security)

Research Areas

The program includes research areas such as:

• Artificial intelligence and machine learning
• Data science and big data analytics
• Cybersecurity and network security
• Cloud computing and distributed systems
• Internet of Things (IoT) and embedded systems
• Computer vision and image processing

Graduation Requirements

To graduate from the program, students must complete all required courses, as well as a master's thesis or project. The thesis or project must be original and demonstrate a high level of technical competence and research skills.

Career Opportunities

Graduates of the program can pursue a wide range of career opportunities, including:

• Software engineer or developer
• Data scientist or analyst
• Cybersecurity specialist or consultant
• Cloud computing or distributed systems engineer
• Artificial intelligence or machine learning engineer
• Computer vision or image processing engineer
• IT project manager or consultant