| Code | E-INF-NS2 |
|---|---|
| Organizational unit | Faculty of Electrical Engineering, Automatic Control and Computer Science |
| Field of studies | Computer Science |
| Form of studies | part-time |
| Level of education | second cycle (Master) |
| Educational profile | academic |
| Language(s) of instruction | Polish |
| Duration | 2 years (4 semesters) |
| Recruitment committee address | aleja Tysiąclecia Państwa Polskiego 7, budynek D 25-314 Kielce |
| Office opening hours | poniedziałek 10.00 – 14.00 wtorek 10.00 – 14.00 środa nieczynny czwartek 10.00 – 14.00 piątek 10.00 – 13.00 piątek w dniu zjazdu – 15.00 – 17.00 sobota w dniu zjazdu: -8.00 – 12:00 |
| WWW address | https://weaii.tu.kielce.pl/ |
| Required document | |
| Ask a question | |
Description
You will become an architect of advanced digital systems. This programme offers in-depth specialisation in areas ranging from critical infrastructure security and advanced real-time 3D graphics to the development of intelligent distributed systems. You will learn not only how to code, but above all how to design enterprise-level solution architectures, analyse and explore large datasets (Data Mining), and implement artificial intelligence tools in business practice.
Admission requirements:
Applicants holding the professional title of Engineer in the relevant or related fields, as well as graduates of related fields holding the professional title of Master of Science in Engineering, are eligible for admission.
During your studies you will:
- learn to model and analyse complex IT systems using the UML 2.0 standard and CASE tools,
- master advanced distributed programming techniques and web services using the latest technologies,
- prepare to conduct professional security audits and penetration testing,
- learn to program graphics processors (GPGPU/CUDA) and develop advanced visual effects for 3D graphics and video games,
- gain knowledge of cryptography, cryptanalysis and defensive programming techniques,
- master rendering methods, computer animation and advanced visual effects using Unity and Unreal Engine game engines,
- learn to design intelligent information services based, among others, on Machine Learning mechanisms and Big Data technologies,
- acquire skills in virtualisation, containerisation (Docker, Kubernetes), and the design of secure IoT and embedded systems.
Selected courses:
The curriculum includes, among others: Modelling and Analysis of IT Systems, Distributed Systems Programming, Real-Time 3D Graphics, Cryptography and Cryptanalysis, Defensive Programming, Advanced Rendering Methods, Intelligent Information Services, Security Auditing.
Career opportunities:
After graduation, you may pursue a career as:
- Software Architect – designing the architecture of large-scale information systems.
- Cybersecurity Analyst / Penetration Tester – specialising in ethical hacking and data security.
- Lead Developer – leading software development teams working with Agile/Scrum methodologies.
- AI and Machine Learning Engineer – designing intelligent learning systems for industry and e-business.
- Senior Render Engineer – specialising in advanced visualisation and graphics engines.
- Cloud Infrastructure Administrator – managing cloud computing and virtualisation solutions.
Rekrutację studentów na pierwszy rok studiów drugiego stopnia przeprowadza się na podstawie złożonych dokumentów, gdy liczba kandydatów nie przekracza limitu miejsc. W przypadku, gdy liczba zgłoszonych osób jest większa niż ustalony limit, rekrutacja jest przeprowadzana na podstawie konkursu, do którego brany jest pod uwagę - wynik ukończenia studiów wpisany do dyplomu.
Przed zapisaniem się na studia należy wprowadzić ocenę z dyplomu - ostateczny wynik ze studiów inżynierskich/licencjackich/magisterskich oraz średnią ocen uzyskanych w trakcie tych studiów w:
Moje konto -> Formularze osobowe -> Wykształcenie i wybrać Edytuj wyniki egzaminów dla odpowiedniego dokumentu (dyplom licencjacki/inżynierski/magisterski) upoważaniającego do przystąpienia do studiów drugiego stopnia z Informatyki.
