BSc in Data Science
Aarhus, Denmark
DURATION
6 Semesters
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Aug 2025
TUITION FEES
EUR 15,300 *
STUDY FORMAT
On-Campus
* others|EU EEA Swiss citizens FREE
Introduction
Vast quantities of data are being gathered on all aspects of our society. This is what we call 'big data'. Data science is for those who want to explore and understand data—replacing gut feelings with hard facts.
As a data scientist, you will extract knowledge from data, enabling both society and businesses to make important/critical, evidence-based decisions. Therefore, in addition to learning how to handle and analyse large datasets, you must also be able to communicate your findings effectively.
Core competencies
Through the bachelor’s degree programme in data science, you will develop a strong foundation in mathematics, statistics, programming and machine learning. The first year covers fundamentals in the above subjects, whereas the second year covers machine learning, statistical modelling, databases and optimisation techniques. The year ends with a case-based project course where you will be in contact with a research group at the university. The third year allows for a number of electives, where you can broaden your knowledge in a subject of your interest or learn about areas where data science is used. The year concludes with a bachelor’s project - typically centred around the use of data science methods for solving a real-world challenge.
Admissions
Curriculum
First semester | Introduction to Probability Theory and Statistics | Introduction to Data Science | Introduction to Mathematics and Optimisation |
Second semester | Mathematical Statistics | Introduction to Programming with Scientific Applications | Numerical Linear Algebra |
Third semester | Causal Inference | Statistical Learning and Machine Learning | Algorithms and Data Structures |
Fourth semester | Databases | Modelling and Solving Optimisation Problems | Data Project |
Fifth semester | Deep Learning | Elective Courses | |
Sixth semester | Philosophy and Ethics of Data Science | Bachelor's Project in Data Science | Elective Courses |
Program Tuition Fee
Career Opportunities
A bachelor’s degree in data science will typically be followed by a master’s degree in data science. A master’s degree in data science provides job opportunities in many different companies and organisations. The common denominator is the need to create data-driven solutions in these companies and organisations, for example in the financial sector, wind turbine industry, consultancy
Firms, pharmaceutical companies, the telecommunications industry, the food industry, the healthcare sector etc. You may also choose to apply for admission to the phd programme and pursue a career in research.