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Cognitive Computing and Collective Intelligence

24 months
8000 EUR/year
Tuition fee
Apply date
Start date


Students who graduate from the programme will think beyond the routine and will be able not just to adapt to a change but to help to create and control it. The Cognitive Computing and Collective Intelligence programme is offered by the University of Jyväskylä.

Visit the official programme website for more information


On completion of the  Cognitive Computing and Collective Intelligence  programme at the University of Jyväskylä , our graduates will be able to:

  • use, design and train complex self-managed and continuously evolving public and private industrial systems, digital ecosystems, cyber-physical systems, systems-of-systems, platforms, services and applications;
  • will be able to connect their designs with publicly available Deep Learning and  Big Data analytics and Web-based Cognitive Computing capabilities as services;
  • will be able to figure-out and approach various challenging aspects of complex problems world-wide, which require collective intelligence and self-managing service-based architectures for their solutions;
  • understand, and professionally utilize for that purpose, knowledge on enabling technologies and tools;
  • perform research training and academic doctoral level studies;
  • will be skillful in international communication due to the integrated language and communication studies.

Study Contents

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.

Research Focus

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.

Career Opportunities

  • Software (Cloud) Service Architects: designing the technical infrastructures of service enabled applications;
  • Enterprise Architects: architecting and aligning enterprises processes, structure, data and control;
  • Web Service (IT) Professionals: experts in the development and composition of Web services into enterprise applications;
  • Big Data and Knowledge Engineers, Architects, Modellers and Analysts: experts in Big Data, metadata and ontology engineering, knowledge management, data and knowledge integration and evolution, in constructing data-as-a-service solutions, data-intensive applications, expert-systems and knowledge based-systems;
  • Analytics Professionals: experts in decision making and support, optimization based decision making, prescriptive analytics;
  • Researchers (PhD studies): graduates are well-prepared to successfully pursue a career in academia.

Programme Structure

Courses include:

  • Deep Learning for Cognitive Computing: Theory
  • Semantic Web and Linked Data
  • SOA and Cloud Computing
  • Big Data Engineering
  • Collective Intelligence and Agent Technology,
  • Self-Assessment on Study Progress

Key information


  • Full-time
    • 24 months

Start dates & application deadlines




120 ECTS


On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).

Other requirements

General requirements

  • Bachelor’s, Master’s or Doctoral degree, which gives eligibility to Master’s level education in the country in which the degree was issued. Applicants holding a degree, which gives eligibility to Doctoral programmes, should primarily seek admission to Doctoral level. 
  • The higher education degree must be in the fields of 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.

Tuition Fee

  • International

    8000 EUR/year
    Tuition Fee
    Based on the original amount of 8000 EUR per year and a duration of 24 months.
  • EU/EEA

    Tuition Fee
    Based on the original amount of 0 EUR per year and a duration of 24 months.


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

  • eligible to apply to study in an IMDP offered by JYU
  • liable to pay tuition fees: please see our FAQ

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.

Due for update

Updated over a year ago

Check the official programme website for potential updates.

Our partners

Cognitive Computing and Collective Intelligence
University of Jyväskylä