This program aims to prepare students to use analytical tools for data analysis, understand the data structures and work Machine learning models. They will also apply different artificial intelligent algorithms in Computer Vision, Natural Language Processing, Big Data, etc. The basis for instruction is an online interactive platform which will facilitate the learning of students in different locations and working hours. A face-to-face meeting with instructors will occur during 2 week final exam period. Main competencies are:

• continuous learning by searching for correct solutions on labs and project assignments and providing presentations and reports 
• critical thinking by designing useful and customized intelligent solutions by implementation of projects 
• planning research by mutually agreeing and reviewing weekly targets with master project supervisor and providing individual reports 
• teamwork by participation in team projects and providing the result on team presentations 
• student autonomy by participation in class exercises & homework activities which promote choice & decision-making

• Algorithmic programming languages
• Advanced Mathematics

• apply knowledge and abilities in practical activities with regards to relevant scientific professional and social judgments and viewpoints 
• obtain a deep insight in one of the specializations within Data Science, depending on the study and the choice of the master project 
• Collect and manage data; select, apply and evaluate models to devise solutions to the real world data science tasks 
• acquire advanced knowledge related to the  fundamental principles of algorithm design as well as mathematical  and statistical models to appropriately formulate and use data analyses 
• Demonstrate expertise in machine learning methods and strategies for advanced data mining, expertise in database systems, and expertise in computational statistics 
• Demonstrate skills in the evaluation and synthesis of information from a range of sources and the ability to apply these skills to understand the international peer-reviewed scientific literature and primary research in data science and disciplines relevant to data science 
• show practical experience in real industrial tasks by participating in an industrial internship and producing a report post-visit 
• Transform findings from data resources into actionable business strategies

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Data science is relevant to virtually all industries that matter right now; so proficient and knowledgeable data science Master’s degree graduates will be assets to employers in any industries they want to work in. Talented data scientists are needed in finance, healthcare, tech, and every other industry.

Language of instruction: English