The application round is now open! The application period for international students is from 16 October 2025 to 15 January 2026 for studies starting in the autumn semester of 2026.
The application round is now open! The application period for international students is from 16 October 2025 to 15 January 2026 for studies starting in the autumn semester of 2026.
Here, we have listed some of the many reasons our students have chosen our university.
Mid Sweden University is a two-campus university with campuses in the city centres of Östersund and Sundsvall, two beautiful cities located in the middle of Sweden.
Read more about the fascinating world of research at Mid Sweden university!
Are you ready to become one of the next top scientists in your field? Then the Mid Sweden University Master by Research Programme is the perfect choice for you!
Exchange students are students coming to Mid Sweden University for one or two semesters within the framework of an exchange agreement.
Tuesday 27 January 2026
Prince Daniel led the talks when around 150 entrepreneurs, business builders and students gathered at Mid Sweden University in Sundsvall for an inspiring entrepreneurship event focusing on young people and the future of entrepreneurship.
Tuesday 27 January 2026
Tuesday 27 January 2026
In January, the American tourism researcher Dr. Bynum Boley arrived in a snow-covered Östersund. For six months, he will be part of ETOUR’s research environment, contributing with his expertise in nature-based tourism, destination development, and community engagement.
Tuesday 27 January 2026
Monday 26 January 2026
H3 – Multidimensional Sustainability gets an increased budget and extended project time. With increased funding from the European Regional Development Fund, continued efforts in current sub-projects and new investments in advanced materials analysis in close collaboration with industry will be possible.
Monday 26 January 2026
Yi-Hsin Li will present her thesis "Steered Mixture of Experts for Compact and Edge-aware Representation: From 2D Image Regression to 3D Radiance Fields" in Technical University. Berlin, and on Zoom.
14.00–16.00
Online
Welcome to a public defense of doctoral thesis in Electronics with Isaac Sánchez Leal who will present his thesis "Partitioned Deep Neural Network Inference on Resource-Constrained IoT Devices: A System-Level Methodology".
09.00–12.00
Sundsvall
Welcome to a public defense of doctoral thesis in Electronics with Meng Jiang who will present her theis "Measurement Quality in Acoustic Sensing with Microphones: From Indoor Localization to Heart Sound Classification".
09.00–13.00
Sundsvall
