Aarhus Universitets segl

Strategy towards 2030

Vision

We envision a department that leads through excellence in research, inclusive education, and societal engagement. We strive to be a dynamic, internationally recognized academic community that attracts diverse talent, fosters innovation, and prepares students and researchers to shape the future of mathematics and its applications.

Mission

Our mission is to deliver top-tier education that retains and inspires students from diverse backgrounds. We are committed to outreach that connects mathematics to society, students, interdisciplinary partners and international peers.

We strive to build a balanced and supportive academic environment and improve gender balance at all career stages. This includes increasing the proportion of female researchers and establishing clear career development pathways for all career stages.

Through strategic hiring, interdisciplinary collaboration, and the integration of computational tools, we will strengthen our research profile and secure sustainable growth in PhD enrolment and external funding. Together, we will cultivate a department where excellence, equity, and impact go hand in hand.

1. Enhance international enrolment in Master’s degree programmes

To enhance international diversity and broaden academic perspectives for our Master's degree students, we aim for 30% of those enrolled annually in our 120 ECTS Master's programs to hold a non-Danish Bachelor's degree

2. Strengthening student retention in Bachelor's degree programmes

Each Bachelor's degree programme must achieve a minimum retention rate of 65% to ensure a robust and sustainable learning environment that supports student progression and academic success. This threshold is essential to secure enough graduates with relevant qualifications to meet societal and labour market demands, enhance recruitment, and maintain high-quality educational settings.

3. Enhance the use of computer-based tools in all study programmes

The Bachelor's and Master's degree programmes in Mathematics and Mathematics-Economics, as well as the Master's degree programme in Statistics, should either revise or introduce a total of two courses to incorporate computer-based tools and/or computational methodology as a part of the curriculum. Competency in these areas should be assessed through examinations. This initiative seeks to enhance students' digital literacy and ensure they are equipped to navigate data-driven academic and professional environments.

4. Increase outreach activities towards young people, external stakeholders and society

The department will systematically engage in targeted outreach activities directed at young people, external stakeholders, society and national and international peers. These efforts aim to enhance societal impact, strengthen recruitment, and promote knowledge dissemination. Selected outreach initiatives will be implemented on a regular and recurring basis to ensure sustained visibility and engagement.

5. Improve gender balance in academic staffing and enrolment

The department is committed to promoting gender equity across all academic levels. Targeted measures will be implemented to ensure balanced representation in recruitment, career progression, and enrolment, thereby fostering a more inclusive and diverse academic environment. We aim for women to constitute at least 33% of new hires, PhD enrolments, and the postdoctoral population. Additionally, we will prioritize the appointment of at least one female professor.

6. Improve the professor to total staff ratio

To ensure a robust academic environment, support career development, and enhance research leadership, the department aims to increase the ratio of professors to total permanent academic staff to at least one in three. This represents a significant improvement from the current ratio of one in four (2024).

7. Establish a career development system for early career researchers

To support talent development and strengthen academic career pathways, the department will implement a structured career development system for early career researchers, including PhD students, postdocs, assistant professors and associate professors. The system will provide guidance and mentorship within academia and across the public and private sectors

8. Increase PhD enrolment at the department

To strengthen the department's research environment and secure long-term academic capacity, we aim to reach an annual enrolment of ten new PhD students by 2030.

9. Increase interdisciplinary collaboration

To advance interdisciplinary research and strengthen collaboration with external stakeholders, the department will establish a dedicated working group. This group will foster partnerships across academic disciplines and with external stakeholders through joint meetings, seminars, and networking events, thereby creating opportunities for high-impact projects and external funding. By 2027, the group will host at least two annual events: one “match-making” event to stimulate cross-departmental collaboration within AU, and one event aimed at engaging society and industry, involving participants from students to academic staff members.

10. Advance knowledge in computer-based tools and AI

To foster innovation at the intersection of AI, mathematics, applied statistics, and computational social science, the department will establish a dedicated working group by 2026. This group will promote knowledge exchange through regular meetings and talks featuring internal and external speakers. By 2027, the department will host at least two events annually, one per semester, each featuring a minimum of two speakers, to engage colleagues with shared interests in these evolving fields.

11. Strengthen the areas of mathematics-economics and applied statistics

To strengthen strategically important research and teaching capacities, the department will prioritise hires in key areas, specifically within mathematics-economics and applied statistics.