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Linda Ahonen is currently the Head of Analytics at the Technical University of Denmark (DTU), where she focuses on the development and implementation of data-driven solutions. With a strong background in analytics, she collaborates on a variety of research projects, applying her expertise to improve organizational performance through insightful data interpretation. Her research interests include data analytics, machine learning, and the application of statistical methods to solve real-world problems. Linda actively participates in collaborative projects across different sectors, enhancing her institution's contribution to academic research and industry partnerships. She has published extensively, and her work is recognized globally, fostering advancements in analytics. Linda is committed to mentoring upcoming professionals in the field of data science, providing guidance and support to students and colleagues alike as they navigate their academic and professional pathways.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.