Business & economics and computer science ranked in top 100 globally
Aalto University’s business & economics ranked 65th place worldwide (last year 66th) in the Times Higher Education (THE) World University Rankings by Subject. In computer science, Aalto ranked 87th (last year 88th). In the listings for engineering and for arts & humanities, Aalto kept last year’s place, in the range 101–125.
Times Higher Education is one of the world's most influential university rankings. It measures the performance of universities with 18 indicators in the areas of international outlook, research quality, citations, teaching and industry partnerships and patents.
Subject-specific rankings are more relevant to Aalto University than the general rankings, as Aalto specialises in technology, business and arts. Depending on the calculation method, there are approximately 17 000–22 000 universities in the world.
Read more about the ranking results here.
Rankings
Aalto University performs well in international university rankings. In subject-specific rankings, we place 9th globally in art & design and are in the top 100 in several other subjects.
Read more news
When atoms begin to dance – At Aalto University, metallurgy became choreography
On the Dance Metallurgy pilot course, copper ions were given movement and a face. When a metal essential to the green transition stepped onto the dance floor, chemical phenomena that often seem intimidating opened up in an entirely new way.
Design at the start of the supply chain – Aalto University leads a major EU project to transform textile colouration practices
The EU Horizon-funded MELANGE project brings together design, technology and business to rethink colouration practices in the textile industry and accelerate the transition towards circular and sustainable textile systems.
Arsi Ikäheimonen’s doctoral research: Smartphone data could reveal early signs of depression
A phone in your pocket, a smart ring on your finger, and an activity tracker on your wrist: everyday devices collect information about their users almost continuously. This data can help monitor and predict symptoms of depression.