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.
Į magistro studijų programas gali stoti visi, baigę universitetą arba besimokantys paskutiniame kurse. Studijos kurias baigei ar tebesimokai turi būti panašios krypties kaip ir tos, į kurias nori stoti, kadangi priėmimas yra paremtas ECTS kreditų suderinamumu.
- ECTS kreditų išrašas - jei dar nesi baigęs aukštosios mokyklos, būtina prisegti ECTS kreditų išrašą, kuriame būtų matyti, kokius dalykus Tu mokeisi bei kokius pažymius ir kiek kreditų už juos gavai. Kai siunti anketą paskutiniame kurse, diplomą reikia prisegti vėliau, kai tik jį gausi.
- Bakalauro diplomas – jei jau esi baigęs aukštąją mokyklą, išrašo nereikia, užtenka prie anketos prisegti savo Bakalauro diplomą.
Anglų kalbos žinias gali patvirtinti vienu iš šių būdų (kokio balo reikalauja tavo pasirinkta programa rasi prie programos stojimo reikalavimų):
- 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.
