AI and Data
The AI and Data is a study module in the Data, Analytics, and AI for Professionals program and can also be taken as a stand-alone program.
How can data analytics be utilized within an organization? How does artificial intelligence actually work? As the importance of data and AI continues to grow across nearly all industries, it is becoming increasingly important for professionals to understand their fundamentals.
The AI and Data program combines conceptual understanding and practical evaluation, enabling participants to make more informed and confident decisions in today’s rapidly evolving digital landscape. The program deepens your understanding of data analytics and AI. You will learn to assess AI-related opportunities, address challenges, and engage in meaningful discussions with internal and external stakeholders.
4.5 ECTS credits can be transferred from the AI and Data program to the Aalto Executive MBA or Aalto MBA program
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Benefits
In a rapidly evolving AI and data landscape, organizations and employees need to understand the principles and practices of data-driven decision-making. This program equips you with foundational knowledge in the most relevant technologies. You will develop the skills to discuss the challenges, opportunities, and solutions of these technologies confidently. Additionally, it will help you turn your new knowledge into impact by bridging theory and practice.
For
The program is suitable for anyone who needs a deep understanding and skills to apply data analytics and AI technology.
The program is well-suited, for example, for
- IT specialists, managers, and directors;
- analysts;
- business development leaders and managers;
- HR professionals;
- product managers;
- cloud engineers;
- programmers and developers; and
- engineers from different fields.
Content and Schedule
AI and Data comprises a three-day study module, a written pre-assignment, and a take-home assignment. The program is worth 4.5 ECTS credits.
The program covers the essential concepts and terminology of AI, machine learning, data, and analytics, along with key methods and real-world examples. You will explore the foundations of data science, statistical thinking, and data visualization, while gaining insight into data and AI strategy, responsible data sharing, and the fair data economy. It also guides how to develop AI and data competencies within organizations, helping you understand available technologies, methods, and how to choose the right solutions for their context.
The program combines three interactive module days with practical assignments that allow you to apply their learnings to real-world questions. Participants also engage in discussions and networking with like-minded professionals.
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.
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.
Program Fee and Registration
Other Data, Analytics, and AI for Professionals (DAAP) Modules
You can register for individual stand-alone Data, Analytics, and AI for Professionals modules or take the complete Data, Analytics, and AI for Professionals program, including all four modules.
