Datavitenskap

Higher Education Entrance Qualification and a completed bachelor's degree comparable to a Norwegian bachelor's degree, including a specialization worth 80 ECTS.

Applicants must have courses in Mathematics, Statistics and Informatics of at least 40 ECTS, of which at least 20 ECTS in Mathematics (Calculus, Linear Algebra), at least 5 ECTS in Statistics and at least 5 ECTS in Informatics (Programming). There is a minimum mark requirement of C for admission.

Why study Data Science (M.Sc.)?

Do you want to be part of the digital revolution? When you study Data Science at NMBU, you gain the tools to understand and shape the technological landscape of the future. We combine advanced technological expertise with sustainable thinking to solve the major societal challenges of tomorrow.

What makes the program unique?

For us, data science is more than programming. It's about understanding complex systems and creating solutions that make a difference. From artificial intelligence and machine learning to big data analysis, you learn to use technology to meet the needs of a rapidly changing world.

For those who want more

The program is designed for those who love to explore, challenge, and innovate. Through small classes and close collaboration with outstanding researchers, you get the opportunity to delve into groundbreaking projects – perhaps across disciplines such as environmental science, economics, or biotechnology.

Your future starts here

As a graduate in Data Science from NMBU, you are not just a technologist – you are a community builder. You will be sought after in everything from startups to global tech companies, or you can create your own career as an entrepreneur or researcher.

Why NMBU?

At NMBU, you study at one of Norway's most innovative campuses, surrounded by nature and an inspiring student environment. We are dedicated to sustainable development, and you become part of a community that puts people, the environment, and technology at the center.

Are you ready to use computer science to shape a better future? Computer science at NMBU gives you the opportunities, tools, and community you need to succeed.

Godkjent av: Hans E. Plesser

Dato: 15.11.2018

Learning outcomes

• Upon completion, the candidates should be able to convey and communicate engineering related problems and solutions to both specialists and non-professionals.
• Be able to contribute to innovation and entrepreneurship.
• Complete an independent project, restricted to engineering related research- or development under supervision.

Knowledge:

• Understand the engineering sciences overall role in a societal perspective, show insight into ethical requirements and respect to sustainable development, and be able to analyze ethical problems regarding engineering related work.
• Have a broad knowledgebase in mathematics, natural sciences, technology and computer technology as a foundation for understanding methods, applications, professional innovation and adaptations.
• Have deep knowledge in a defined area connected to active research, including an adequate professional understanding in using new research.
• Knowledge of computer safety, law and ethics.

Skills:

• Be able to develop overall solutions to engineering related problems, including creating solutions in a multidisciplinary context. Be able to evaluate tools for analyzing, methods, technical models, calculations and solutions independently and critically.
• Plan and bring about data collection, as well as process, analyze and interpret the data. Collect and organize data, execute a multivariate analysis of high-dimensional data, pattern recognition and machine learning, evaluate the quality of data as well as the results.
• Be able to analyze mathematical models for processes e.g. in physics, biology, technique
  

• Data analysis and statistics
• Biostatistics
• Bioinformatics
• Physics
• Geosciences
• Economics