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.
Doctoral Study Opportunities
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.
You only need to take one of these language tests:
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®
Minimum required score:
The TOEFL®PBT is administered in a paper format and measures your ability to use and understand English in a classroom setting at the college or university level. It accurately measures how well you can listen, read and write in English while performing academic tasks. Read more about TOEFL®PBT.Schedule TOEFL®
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.
Minimum required score (Grade C):
C1 Advanced is a Cambridge English Qualification. It reports on the Cambridge English Scale between 142 and 210. You will receive a separate score for each of the four skills (reading, writing, listening and speaking) and for Use of English. These five scores are averaged to give you an overall result for the exam. Universities and colleges may ask you to achieve a specific score, either overall or for a particular skill.
Note: degree programmes and applications may require a more specific minimum score for admission.
An eligible applicant must have an undergraduate (First cycle) degree in Computer Science, Computer Engineering, Software Engineering, Information Technology, Telecommunications, Applied Mathematics, Control Systems or other closely related field. The applicant must have good skills in programming, as well as in using related information structures and algorithms.
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
The University of Jyväskylä offers scholarships which cover the tuition fee to 50 % of admitted scholarship applicants.
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.