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Who should attend
The Graduate Diploma in Technology program is designed for top management and senior decision makers with extensive experience in the business but a lack of concrete experience of how latest technologies work.
The program is beneficial for business leaders, who want to understand beyond the buzzwords of what new technologies mean and seek a better understanding of the practice, opportunities, and implications of using the technologies that are transforming their organizations, business competition, and operating environments.
About the course
Graduate Diploma in Technology equips senior decision makers with the skills and competences needed to use novel technologies, such as artificial intelligence, robotics and cyber security, for driving organizational growth.
The program gives you the chance to deep dive into new technologies through real-life applications, and gain a better understanding of the practice, opportunities, and implications of using these technologies that are transforming your business environment.
By attending the program, you will also be better equipped for leading teams working with technologies, and be able to better lead innovation in your company now and in the future.
This program prepares you to become an ambassador for incorporating new technologies into your organization’s business model and leveraging their potential value, and to discover how individual technologies function to truly understand the optimal way of linking them with your organization's existing operations.
Jukka Luoma is an Assistant Professor in Marketing since 2015, specializing in strategic marketing. His teaching and research focuses competitive dynamics, market-oriented strategies, and the use of models and data in organizational decision making. TEACHING 2017, 2016 Global Marketing Managem...
Peer-reviewed scientific articlesJournal article-refereed, Original researchSequential Monte Carlo Instant RadiosityHedman, Peter; Karras, Tero; Lehtinen, Jaakko2017 in IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS (IEEE Computer Society)ISSN: 1077-2626Reflectance modeling by neural te...
Peer-reviewed scientific articlesJournal article-refereed, Original researchPortfolio decision analysis methods in environmental decision makingLahtinen, Tuomas J.; Hämäläinen, Raimo P.; Liesiö, Juuso2017 in ENVIRONMENTAL MODELLING AND SOFTWARE (ELSEVIER SCI LTD)ISSN: 1364-8152Modeling project pr...
Background Director of Cyber Security in McAfee. Doctor of Military Science. Peer-reviewed scientific articlesConference proceedingsCyber security capability and the case of FinlandLehto, Martti; Limnéll, Jarno2016 ISBN: 978-1-910810-96-5Non-refereed scientific articlesUnrefereed journal artic...
Kari Hiekkanen is Research Fellow at Department of Computer Science at Aalto University. He has extensive experience in various IT Management and Leadership roles in R&D and Management Consulting. Hiekkanen has over 20 years of experience in combining IT and strategy in various industries. H...
Mika Pantzar (PhD) is professor (Consumer citizenship) in Consumer Society Research Centre, University of Helsinki. His current research interests focus on big data, large data sets of various forms (human physiology, netnography, social media etc.) His former project (2006-2011) Co-production o...
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Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
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