Master in Computer Science - Data Scientist with Ural Federal University
Type of program: Graduate
Duration: 2 years (4 semesters), 120 ECTS
Language of instruction: English
Degree awarded: Magister - 2 diploma
Admission fee (non-refundable): 200.00 EUR
The final price depends on the promotions applicable to specific countries and will be stated after the completion of the initial pre-screening interview.
During your studies, you will not only gain the competences of a Data Scientist specialist, but also meet interesting people from the IT industry - and perhaps even your future employer - thanks to numerous study visits and meetings with interns that we regularly organize during your studies. You will be able to apply the acquired knowledge in practice thanks to individual and group projects, workshops, trainings and hackathons, all together with industry-renowned companies such as Fujitsu, IBM, AWS or Microsoft will enable you to learn about the latest trends in the IT area.
Double degree programe with Ural Federal University is designed to develop technical skills combined with soft skills. It prepares graduates who are ready to take on various challenges and are not afraid of them. Therefore, in addition to the subjects that shape typical engineering skills, we also took care of equipping graduates with competences that allow them to find themselves in the increasingly demanding labour market. Thanks to Design Thinking and Problem Based Learning workshops, you will learn to solve problems creatively, and classes related to the implementation of IT projects will prepare you for the real challenges faced by engineers working mainly with projects and design.
Content within the specialization: mathematical statistics and R language, data visualization, Python language in data processing and internet data mining, introduction to data mining methods, practical aspects of data preparation, decision support systems, bio-inspired methods and algorithms, machine learning and deep learning, image and sound processing and recognition algorithms.
Selected directional content: infrastructure and cloud services, integrated management systems, design and modeling of IT systems using UML.
Selected basic content: databases and data warehouses, advanced numerical methods, computer arithmetic and automation theory.
We understand that all acquired knowledge should go hand in hand with practice. That is why over 80% of our IT teachers have practical experience! You will be taught by certified experts, such as Cisco, Amazon Web Services or Microsoft. Thanks to them, after your studies you will obtain industry-recognized certificates, such as AWS Certified Cloud Practitioner. We work with the best - lectures, exercises, trainings and workshops are conducted by representatives of companies such as Microsoft, Fujitsu, IBM, Netology, CloudTeam, VRTechnology and many others. During our meetings with practitioners, you will be able to personally meet and talk to interesting people and experts who will talk about their work with passion.
Language proficiency requirements: no language proficiency certificate is required, however intermediate command of English (B2) according to Common European Framework of Reference for Languages (CEFR) is required. Applicants command of English will be assessed in the course of an online interview and internal test of English conducted online ( advantage of native speakers of English, any previous degree accomplished in English or English B2 according to the requirements of the Common European Framework CEF).
1) Bachelor or master degree or equivalent recognized in both partner countries including the transcript of records along with the official translation into English or Polish language with legalization* (or apostille**).
2) Scan of your international passport page with your photo and personal data.
3) One personal photograph in jpg format along with one photograh in paper version.
4) Health and Accident insurance policy covering the period of your education in Poland.
5) Confirmation of payment of tuition fee.
Projekt finansowany przez Narodową Agencję Wymiany Akademickiej w ramach Programu Nowoczesna Promocja Zagraniczna
The project is financed by the Polish National Agency for Academic Exchange