Bachelor Data Science

3 Years On Campus Bachelors Program

Aarhus University

Program Overview

The Bachelor’s in Data Science at Aarhus University is designed for students who love working with numbers, logic, and technology to uncover patterns hidden in data. You’ll learn how to collect, analyse, and interpret data using programming, statistics, and machine learning — turning raw information into smart decisions that shape business, science, and society.

Curriculum Structure

First Year

In your first year, you build the essential foundations of data science. You study Mathematics, Statistics, and Programming, learning how to handle data, write code, and understand how models describe real-world uncertainty. This year focuses on giving you confidence in both analytical thinking and practical computing skills.

Second Year

The second year takes you deeper into the world of intelligent data systems. You explore Machine Learning, Statistical Modelling, Databases, and Optimisation, learning how to train predictive models and work with large datasets. You’ll also take part in project-based courses, applying these techniques to real data challenges.

Third Year

In your final year, you personalise your learning through elective courses in advanced analytics or computational methods. The year ends with your Bachelor’s Project, where you solve a real data problem — just like professional data scientists do — and present your findings.

Focus Areas (in a string)

Data Analytics · Programming · Statistics · Machine Learning · Databases · Optimisation · Predictive Modelling · Real-World Data Projects

Learning Outcomes (in a string)

Analyse complex data · Build predictive models · Apply machine learning techniques · Solve real business problems · Communicate data insights clearly

Professional Alignment (Accreditation)

This degree follows Denmark’s official higher-education framework and is recognised across the European Higher Education Area, giving your qualification global academic and professional value.

Reputation (Employability Rankings)

Aarhus University is internationally recognised for strong science and technology education, and data science graduates are in high demand across industries where data-driven decision-making is essential.

Experiential Learning (Research, Projects, Internships etc.)

At Aarhus University’s Data Science programme, you learn by doing from the very beginning. Instead of only studying theory, you’ll write code, work with real datasets, and build models that solve real problems. Your classes are closely connected with the Departments of Mathematics and Computer Science, meaning you study in an environment where research in machine learning, optimisation, and advanced analytics is happening around you.

As you progress, your learning becomes increasingly practical and project-driven, preparing you for how data science works in real organisations:

Project-based courses, where you analyse real datasets and apply machine learning and statistical modelling in team settings.
Hands-on programming labs, where you develop coding skills for data handling and predictive analytics.
Case-driven assignments, solving real-world data challenges.
Final-year Bachelor Project, where you independently solve a complete data science problem from start to finish.
Access to university research environments in mathematics, computer science, and data analytics.
Dedicated study spaces and libraries supporting collaborative learning.
Active student data science communities, organising workshops, company visits, and networking events.

Progression & Future Opportunities

Graduates of the Bachelor’s in Data Science at Aarhus University are well-prepared to step directly into the data-driven job market, taking on roles such as Data Scientist, Data Analyst, Machine Learning Engineer, or Business Intelligence Specialist soon after finishing their degree. Because the programme gives you strong hands-on experience with real data, programming, and analytical thinking, you’ll be ready to contribute to industry and research alike — and increasingly sought after by employers in Denmark and internationally:

Career Services support: Aarhus University’s Career Service offers tailored guidance, job listings and events to help you find internships and graduate roles in data science and related fields.
Strong employability: Data skills are in high demand across sectors such as tech, finance, healthcare and government, and AU’s reputation for rigorous analytical programmes means graduates are competitive in the job market.
Industry connections: Through project work and industry-linked activities, you gain exposure to real problems and potential collaborators in business and research communities.
International recognition: Your degree is fully recognised across the European Higher Education Area, ensuring that your qualification holds value for careers and further study worldwide.
Graduate outcomes: Many alumni progress into specialist data roles or continue to advanced roles in analytics and machine learning, helping organisations make smarter data-based decisions.

Further Academic Progression:

After completing the bachelor’s, you can continue your studies with a Master’s in Data Science or related advanced programmes at Aarhus University or other top institutions, deepening your expertise in areas like artificial intelligence, big data analytics, or computational statistics. This pathway can also lead to PhD opportunities, positioning you for research careers or leadership roles in data science.