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The Master's degree program provides in-depth knowledge of artificial intelligence and data science. It develops mathematical, programming, computational, and analytical skills, as well as teamwork skills, with a focus on identifying problems (scientific, business, and social) and solving them using intelligent techniques and methods. The program is designed for candidates interested in data analysis and artificial intelligence (including machine learning), who are familiar with programming, and are familiar with mathematics and algorithms. Candidates should be prepared for intensive work, culminating in a research and implementation project. The program covers topics in machine learning methods, including probabilistic and deep learning models, applications of artificial intelligence in personalized recommendation systems, and in processing natural language, multimedia data, network data, and data from digital media. The program will also introduce techniques for extracting information from mass, complex, spatial, and affective data. Furthermore, during the studies, students will also have the opportunity to learn about the methodologies of conducting Artificial Intelligence projects, both theoretically and, above all, practically, during a three-semester research and implementation project. Studying this program will also enable them to explore the potential applications of Artificial Intelligence in business.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Master's degree program provides in-depth knowledge of artificial intelligence and data science. It develops mathematical, programming, computational, and analytical skills, as well as teamwork skills, with a focus on identifying problems (scientific, business, and social) and solving them using intelligent techniques and methods. The program is designed for candidates interested in data analysis and artificial intelligence (including machine learning), who are familiar with programming, and are familiar with mathematics and algorithms. Candidates should be prepared for intensive work, culminating in a research and implementation project. The program covers topics in machine learning methods, including probabilistic and deep learning models, applications of artificial intelligence in personalized recommendation systems, and in processing natural language, multimedia data, network data, and data from digital media. The program will also introduce techniques for extracting information from mass, complex, spatial, and affective data. Furthermore, during the studies, students will also have the opportunity to learn about the methodologies of conducting Artificial Intelligence projects, both theoretically and, above all, practically, during a three-semester research and implementation project. Studying this program will also enable them to explore the potential applications of Artificial Intelligence in business.
Admission Requirements
2 Years
Scholarships
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Artificial intelligence
Main Campus: Wroclaw University of Science and Technology, Wrocław, Poland
24 monthsProgramme duration
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
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