Computer Vision & Data Science
The vast majority of data generated every day is image data, which is why image data analysis is one of the most important focus areas for modern Data Science and Artificial Intelligence. The field is evolving at such a rapid pace that the demand for image data science professionals is extremely high. In the future, any visual inspection task may be automated. It is therefore important that a new generation of applied researchers and engineers is ready to take advantage of the countless possibilities offered by modern data science.
Core tasks of an image data professional are:
Designing, developing and testing machine learning algorithms for automating visual inspections.
Creating, balancing and maintaining annotated datasets, in collaboration with domain experts.
Optimising and scaling the developed algorithms.
Carrying out methodologically correct research.
Keeping abreast of relevant and current trends and developments in the field.
The programme covers various topics such as machine learning, deep learning, computer vision, mathematics, programming and many more. As a student, you will learn to acquire the knowledge and skills to successfully find a solution to real-life problems. You will be supported by the experts of the professorship Computer Vision & Data Science who have been working in this field for many years.
Na studia magisterskie mogą kandydować wszyscy, którzy ukończyli studia licencjackie lub inżynierskie (studia I stopnia), studia magisterskie lub studiują na ostatnim roku studiów I-stopnia. Studia, które planujesz powinny mieć zbliżony profil do tych obecnych lub ukończonych, ponieważ w procesie rekrutacji kluczowa jest ich zgodność programowa.
- Wykaz punktów ECTS – osoby, które są jeszcze w trakcie studiów, muszą załączyć wypis punktów ECTS, w którym będzie wykazane, jakie przedmioty były realizowane na studiach oraz ile punktów za nie otrzymano.
- Dyplom ukończenia studiów licencjackich lub inżynierskich – jeśli jesteś absolwentem wyższej uczelni, nie potrzebujesz wypisu, wystarczy załączyć dyplom ukończenia studiów wraz z suplementem (w języku angielskim lub oryginał z tłumaczeniem)
Spełnienie wymagań w zakresie języka angielskiego można udokumentować w następujący sposób (Wynik, który musisz uzyskać z testu językowego aplikując na wybrany kierunek studiów znajdziesz w wymaganiach rekrutacyjnych danego programu):
- IELTS
- TOEFL
Academic Requirements
a bachelor's degree;
demonstrable solid programming skills;
mathematical knowledge and skills required to understand the principles of computer vision and data science;
English language proficiency to communicate technical work adequately;
adequate motivation as evidenced by motivation letter and admission interview.
- Bachelor or Master diploma, preferably in the fields of business or economics
- Academic IELTS 6.0 (with a minimum of 5.0 for each skill). NOTE: Starting the academic year 2014/2015 the required academic IELTS level will increase to IELTS 6.5 (with a minimum of 5.5 for each skill).
- TOEFL 80 (internet based). NOTE: Starting the academic year 2014/2015 the required TOEFL score will increase to: 575 (paper based), 232 (computer based) and 90 (internet based).
- Cambridge ESOL score CAE-C
After completing the master's programme, you may add MSc to your name. A degree that will also make you an international presence.
After successfully completing the Computer Vision & Data Science master's programme, you will have developed into an image data science professional. You will be able to design deep learning architectures for big image data analysis and then implement these (enabling technology) in a wide range of domains/sectors.
As graduate master's professional you can, amongst others, fill the following positions (at small companies to multinationals):
Data Science Specialist
Computer Vision Engineer
Deep Learning Engineer
Artificial Intelligence Engineer
Visual Image Specialist
With this master's degree you will be well prepared for the international field.
