Student story
You must make choices when you have a family and a job. Studies require planning and goal-orientation.
Satu Korhonen, Machine Learning Engineer, Fellowmind Finland
Read Satu's storyMaster's Degree
Become an AI and data analytics professional
Artificial Intelligence and Data analytics, Master of Engineering
Are you interested in using and applying artificial intelligence and data analytics? In our Master's programme you will gain a general overview and knowledge of potential application of data analytics and AI, machine learning, and neural network methods, as well as large language models and AI agents. Apply and become a professional in AI and data analytics!
Product scope
Annual intake
25
Application period
07.01.2027 - 21.01.2027
Degree
Field of study
Study modes
Part-time studies
Starts
27.08.2027
Artificial Intelligence and Data Analytics Master’s Degree programme responds to the growing challenges of data analytics and artificial intelligence by diving into the possibilities they provide.
This degree programme is a must-have for those who are working with technology and data, and desire to learn how to apply artificial intelligence and data-analytics to create unique solutions to their organisation.
After completing the studies, you will have a general understanding and knowledge about possibilities of data analytics and artificial intelligence and their applications, as well as machine learning, deep learning, ai agents and large language models. Furthermore, you understand the importance of data privacy settings, quality requirements, and ethical considerations regarding artificial intelligence.
You know how to find the right methods for different sets of data and how to solve problems creatively. Evaluating the effectiveness of the methods used is an essential part of applying them. You will also have the skills to plan, develop, and implement your knowledge to various real-world challenges.
On top of the skills related directly to artificial intelligence and data analytics, you will also gain the skills for life-long learning professionally, know how to conduct research ethically, and how to make decisions and communicate effectively as a part of a multinational team.
The extent of the education is 60 – 90 ECTS (European Credit Transfer System) depending on your previously completed Bachelor's or Master's degree. For example, for someone with a Bachelor’s degree in Engineering (BEng) it is 60 ECTS, and for someone with a Bachelor’s degree in Business Administration (BBA in Business Information Technology) it is 90 ECTS. If you have a BBA degree, you will complete the same 60 ECTS as others, and the missing 30 ECTS will be tailored to your study background and needs.
Part-time studies
As a part-time student, you can complete the programme in approximately two years. It is also possible to complete the programme in one year as full-time studies. The education is implemented as blended learning: you study part of the time independently, and you meet your group during contact teaching weekends 2 - 3 times a semester in Jyväskylä. The contact days are held on weekends, and they are consecutive days, usually Fridays and Saturdays. Some elective studies might have additional contact teaching days.
Degree Structure: Master of Engineering, 60 ECTS credits
Expert Core Competence, 25 ECTS credits
- Research-based Development, 5 ECTS credits
- Modern Management of IT, 5 ECTS credits
- Advanced Data Analytics, 5 ECTS credits
- Advanced Machine Learning, 5 ECTS credits
- Advanced Deep Learning and Neural Networks, 5 ECTS credits
Elective Studies, 5 ECTS credits
- New and Emerging Technologies, 5 ECTS credits
- Cyber Security Implementation in Practice, 5 ECTS credits
Master's Thesis, 30 ECTS credits
The master’s thesis is the core of the master’s degree. The objective of the master’s thesis is to develop and demonstrate your ability to apply research, utilise data, and use chosen methods to analyse and solve problems arising in professional work. It also demonstrates your readiness and ability for independent, demanding expert work.
Career opportunities
After graduating, you can work in ICT tasks in which you plan, develop and implement projects that require know-how in artificial intelligence and data-analytics.
Your professional titles in work life could be e.g.
- Data scientist
- Data analyst
- Data engineering
- AI specialist
- Business Analyst
- Machine Learning Engineer.
Further studies
After graduation, you may apply to continue on to postgraduate studies in science or arts at universities (Act 558/2009, Section 37) and in the school of professional teacher education. The studies can be continued by applying e.g. to corresponding post-degree education at universities abroad. A university of applied sciences also provides opportunities for continuing education in the form of specialisation studies, open studies, and working life based continuing education.
Alumni story
I wanted to learn more about what AI is made of and how it can know things. I discovered that Jamk offers a whole degree programme in AI and data analytics. So I applied to study.
Sami Kostilainen, Senior Software Developer, Gofore
Find out Sami's story
How to apply for Master's Degrees
Application timetable and admission criteria for master's degree programmes conducted in English. Apply 7 - 21 January 2027 by 3.00 p.m.!
Mika Rantonen
Principal Lecturer
Institute of Information Technology
School of Technology
+358407167269
firstname.lastname@jamk.fi