Data, Analytics, and AI for Professionals
Learning Path for Building Expertise and In-Depth Understanding in Leveraging Data and AI-Driven Solutions
Do you want to sharpen your skills in advancing the use of data and AI? How can your organization stay ahead by effectively using data and AI? What are the current AI technologies, and how can they be developed and deployed for impact?
The Data, Analytics, and AI for Professionals (DAAP) program offers you a solid foundation for understanding and addressing business opportunities and challenges related to AI and data analytics. It supports organizations and individuals in adopting and applying new technologies by providing the skills needed to assess, select, and develop AI-driven solutions.
The program is taught by leading instructors and experts from Aalto University, the University of Helsinki, and the Finnish Center for Artificial Intelligence (FCAI), as well as from the most advanced companies in the field. The program combines the latest research knowledge and applied learning using real-life examples and practical assignments. The modular structure of the program allows participants to study interesting topics at their own pace.
The program is offered in cooperation with the Finnish Center for Artificial Intelligence (FCAI).
18 ECTS credits can be transferred from this program to the Aalto Executive MBA or Aalto MBA program.
By completing this program, you will be eligible for alumni status and become part of Aalto EE's global alumni community. The alumni community offers valuable benefits that support your professional development and networking:
- Invitations to exclusive alumni events and networking opportunities
- An alumni newsletter that brings together the most important news, events, and content
- The opportunity to participate in most of our programs at a special fee
The participants have given the program an overall grade of 5.1 out of 6.0.
“The program had a very good focus on topics for which development is fastest now. The discussions with lecturers and the group were inspiring! The lectures gave lots of facts, views, and food for thought to form my own view about where AI development is heading and at what pace.”
The grade given by the participants for program faculty is 5.4 out of 6.0.
“Interactive and engaging approach.”
“The teaching was of high quality.”
“Wide understanding of the subject matter, great practical examples, and reference cases. Excellent speaker!”
The participants describe the learning experience as excellent.
“Very interactive, lots of good discussions with the lecturers and the group!”
“A very good overall learning experience, inspiring and insightful!”
“Made me want to study more!”
Benefits
This program builds future-ready capabilities in data, analytics, and artificial intelligence. Participants gain a solid foundation for understanding and addressing business opportunities and challenges related to data and AI, and learn how to assess, select, and develop AI-driven solutions. The program equips professionals with practical skills and strategic insight to leverage data and AI effectively, enabling innovation and data-led decision making in real-world business contexts.
For
The Data, Analytics, and AI for Professionals program is for anyone who seeks to gain a deeper understanding of data analytics and AI technology and the skills to apply these tools in their work.
The program is well-suited to, for example:
- IT specialists, managers, and directors
- Analysts
- Business development leaders and managers
- HR professionals
- Product managers
- Cloud engineers
- Programmers and developers
- Engineers from different fields
Content and Schedule
The Data, Analytics, and AI for Professionals learning path has a modular structure, consisting of four modules. Each module is held once a year, and you can study modules flexibly and complete the number of modules you need.
The topics include generative AI, data strategy, AI technologies and applications, and ethical questions related to data and AI. The studies include both intensive contact learning and practical case examples. Independent assignments complement the studies and allow you to apply your learning in practice.
Modules
Aalto Tech MBA / Aalto Tech Executive MBA
Continue your studies in the Aalto MBA or EMBA program after completing the Data, Analytics, and AI for Professionals program, and you will further expand and deepen your management skills and graduate from the unique Aalto Tech MBA or EMBA program.
Together, these programs form a holistic leadership development journey. The Data, Analytics, and AI for Professionals program offers a pathway to an MBA/Executive MBA education for managers and professionals focused on building strong skills in data, analytics, and artificial intelligence to support data-driven decision-making and business development.
Instructors
Teemu Roos
Teemu Roos is a Professor at the Department of Computer Science, University of Helsinki.
Roos' research interests include the theory and applications of artificial intelligence, machine learning, and data science. He also teaches introductory courses on these topics with a total of up to 500 students annually. He has developed applications of AI in areas such as mobile computing, genomics, epidemiology, quantum physics, and digital humanities.
Teemu Roos received a Ph.D. in computer science from the University of Helsinki in 2007.
Laura Ruotsalainen
Laura Ruotsalainen is an Associate Professor of Spatiotemporal Data Analysis for Sustainability Science at the Department of Computer Science at the University of Helsinki.
Her current research interests include the development of computer vision, estimation and machine learning algorithms for creating and using accurate and reliable spatiotemporal data, namely navigation data, especially for the development of autonomous systems enabling sustainable smart cities. For years, she has been teaching courses and supervising research on navigation at the Aalto University and the University of Helsinki and more recently also a course on Computer Vision at the University of Helsinki.
Marko Turpeinen
Marko Turpeinen is an Adjunct Professor at Aalto University School of Science.
Turpeinen is also the founder and CEO of a data-sharing company called 1001 Lakes.
He was previously the Finnish Node Director of EIT Digital, a Knowledge and Innovation Community of the European Institute of Innovation and Technology and a Professor in Media Technology at The Royal Institute of Technology (KTH) in Stockholm. He has extensive industrial experience in the media industry, as between 1996 and 2005 he worked in various executive positions at Alma Media Corporation, a Finnish media company.
His current academic research addresses issues in customized media content, a human-centric approach to personal data, and the role of AI and algorithmic power in networked society. He has a Doctor of Technology Degree in Computer Science from Helsinki University of Technology (now Aalto University) and a Master of Science Degree in Media Arts and Sciences from Massachusetts Institute of Technology (MIT).
Antti Ukkonen
Antti Ukkonen is a computer scientist and educator with 20+ years of R&D experience from both private and public sector organizations.
At present Antti is an independent consultant advising companies with AI projects. Previously he was the Chief Product Officer at Speechly, a venture funded startup acquired by Roblox Inc in September 2023. Prior to this he was an Academy Research Fellow at University of Helsinki. He has also worked at the Finnish Institute for Occupational Health, Aalto university, as well as Yahoo! Research. Antti holds a doctoral degree from Aalto University (2008), and is an Adjunct Professor of Data Science at University of Helsinki, Department of Computer Science.
Jukka K. Nurminen
Jukka K. Nurminen is a Professor of Computer Science at the University of Helsinki.
He has worked extensively on software research in the telecom industry at Nokia Research Center, in academia at Aalto University, and in applied research at VTT. His key research contributions are on energy-efficient software, mobile peer-to-peer networking, and cloud solutions but his experience ranges widely from applied optimization to AI, from network planning tools to mobile apps, and from software project management to tens of patented inventions. He received his MSc degree in 1986 and PhD degree in 2003 from Helsinki University of Technology (now Aalto University) in applied mathematics. Currently, his main interests are in the engineering of machine learning systems, fair and reliable operation of AI, and software development for quantum computers.
Program Fee and Registration
Program Fee
The fee for the Data, Analytics, and AI for Professionals learning path:
- 1 module: € 3,300 € (+ VAT)
- 2 modules: € 5,700 (+ VAT)
- 3 modules: € 7,950 (+ VAT)
- 4 modules: € 9,950 (+ VAT)
As an alum, you can participate in our programs at a unique alumni fee (15% off the standard fee). Check the programs included and if you're eligible for the benefit.
Registration
Register at the latest two weeks before the module starts.
When you add one module to your order, you will be automatically redirected to the order form. If you would like to add other modules to your order, please return to this page and select the additional modules you wish to include.
