Cognitive Computing (the umbrella label for technologies that ingest data and then learn as their knowledge base grows) simulates human thought processes in a computerized model. It focuses on self-learning and self-managing systems that use artificial intelligence (machine learning, data mining, pattern recognition, natural language processing, etc.) to mimic the way the human brain works.
While targeting the automatic decision-making and problem-solving, the Cognitive Computing systems are able to learn their behavior through education. They support forms of expression that are more natural for human interaction, which allows them to interpret data regardless of how it is communicated. The primary value is their expertise and the ability to continuously evolve at enormous scale as they experience new information, scenarios and responses.
Cognitive Computing as a technology enables various forms of intelligence interact naturally to collaboratively address complex problems. The technology relies on advances in the study of Collective Intelligence, in regards to not only physical groups of humans, but more to the conceptual and mechanical systems we build. Cognitive Computing and Collective Intelligence is the only way nowadays to address the complexity challenges related to the Big Data and the Internet of Things. Combination of these technologies and challenges is resulting to qualitatively new and efficient Smart Cyber-Physical Systems and Industry 4.0.
The Faculty is engaged in active international cooperation both in the field of research and teaching. We have strong collaboration with industry both at local and national level; the vast majority of Master’s theses are completed in collaboration with industry. The programme locates itself in the core of the area of computational thinking and decision making which is one of the major development areas of the Faculty. Artificial Intelligence and Cognitive Computing research and teaching are well established and the Faculty research is aligned to strategic plans of IBM Watson; the inventor and leading global provider of Cognitive Computing services. The programme is designed to capitalize this core research to teaching.
After graduation, you will have the opportunity to apply for Doctoral Studies in Natural Sciences. The duration of Doctoral Studies as full-time study will take approximately four years and studies include both taught elements and Doctoral Dissertation.
Minimum required score:
The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.Schedule IELTS
Minimum required score:
The TOEFL iBT ® measures your English-language abilities in an academic setting. The test has four sections (reading, listening, speaking, and writing), each with a score range of 0-30, for a total score range of 0-120. Read more about TOEFL iBT ®.Schedule TOEFL®
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
University of Jyväskylä offers scholarships covering tuition fee costs for its most successful international Master’s degree students. You are eligible for a JYU scholarship if you are
Scholarships are granted based on the admission criteria of the programme in question.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Together with the ISIC Association and British Council IELTS, Studyportals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.
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