
The Master of Science in Data Science and AI is designed to train you into a curious, creative, and skilled data scientist. This programme emphasizes both the theoretical underpinnings and practical application of data science, focusing on turning data into knowledge using computational methods and translating that knowledge into effective solutions. You will gain proficiency in programming and developing your own tools, not just using existing ones. The programme is offered by the Institute for Computing and Information Sciences (iCIS), which has a strong international reputation in fields like machine learning, probabilistic modelling, recommender systems, and information retrieval. The approach is pragmatic and grounded in theory, with opportunities to explore related courses in disciplines such as language studies, artificial intelligence, chemistry, or biophysics. Exceptional students may have the opportunity to pursue a double Master's degree in Artificial Intelligence and Data Science and AI.
The curriculum focuses on core courses in machine learning, information retrieval, and probabilistic modeling. Students can then specialize further in areas like natural language processing, medical pattern recognition, neuroimaging, business rules, and bioinformatics. The programme is structured over two years and amounts to 120 EC (European Credit Transfer System) credits.
Graduates of the Data Science and AI programme have excellent career prospects, as there is a high demand for academic-level data science specialists in industry. Many find challenging and interesting roles in large companies as consultants or data analysts, while some choose to start their own data analytics businesses. A portion of graduates also opt for further academic pursuits, continuing to a PhD.
Prospective students are advised to check the specific admission requirements for their previous education and country of origin on the official admission and application page.
Tuition fees and rates can vary. Refer to the university's tuition information page for the most up-to-date details.
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Applicants need a relevant Bachelor's degree. English proficiency is also required, with specific details available on the official admission and application page.
Annual tuition fees apply, with different rates depending on personal circumstances for both home and international students. Please consult the university's tuition page for current amounts.
The programme is full-time and structured over two years, amounting to 120 EC (European Credit Transfer System) credits.
The programme is taught 100% in English.
First, check that your previous education meets the admission requirements. Then, you can apply for the Master's programme through Studielink.
Graduates often find roles as Data Scientists, Data Analysts, or Consultants in industry. Some also choose to pursue a PhD or start their own data analytics businesses.