Master’s in Data Science: Shape the Future of Data

Data is the world’s fastest-growing resource, doubling every two years, and by 2025, businesses will create 60% of it. Processing data—collecting, analyzing, securing, and utilizing it—is a critical skill in today’s economy.

With a Master’s in Data Science at Kolding, you’ll become an expert in programming, statistics, machine learning, databases, IT security, and ethics. The programme combines theory with hands-on projects, group work, and real-world applications, preparing you for a global job market.

You’ll study in a diverse, English-speaking environment, collaborating with peers from fields like business, design, health, and marketing. No programming experience is required—just motivation and a strong mathematical foundation.

Choose a specialization in Economics and Business Administration, Human Informatics, or ITC Systems, and complete your Master’s thesis in the final semester. Graduates earn the MSc in Data Science and are highly sought after, addressing Denmark’s growing demand for skilled, interdisciplinary IT professionals.

Entry requirements

To apply for the Master’s Degree Programme in Data Science, you need a Bachelor’s degree or a Professional Bachelor’s degree. All academic Bachelor’s degrees and all Professional Bachelor’s degrees meet the entry requirements, however, the programme is aimed at students who do not already have a background in Software Engineering or Computer Science.

Why Study Data Science at SDU?

• The programme is developed within the research environment at the Department of Mathematics and Computer Science.
• It meets the growing demand for professionals who can process and analyse data in companies and organisations.
• The programme builds on your bachelor’s degree, giving you a unique qualifications profile.

Career Prospects

All sectors have an increasing demand for data professionals. Denmark has a shortage of approximately 3,800 IT workers with a master’s degree and interdisciplinary skills, such as data scientists from SDU.

Examples of job titles:

• Data Scientist
• Data Analyst
• Business Intelligence Developer
• Data Consultant
• AI Project Manager
• Data Engineer
• Data Architect
• Data Strategist

Examples of employers:

• Financial services
• Research and educational institutions
• Industrial enterprises
• Public authorities
• Consulting and engineering firms
• Tele- and data communication companies

Graduates receive the academic title Master of Science (MSc) in Data Science.

For detailed information, please visit the MSc in Data Science page on the University of Southern Denmark website.

Language requirements
The programme is taught in English. If your qualifying degree is not from SDU, you are required to submit proof of your proficiency in English.