Data Science Norwegian University of Life Sciences (NMBU)

Overview

Why Data Science at Norwegian University of Life Sciences (NMBU)?The Data Science programme at NMBU is designed to meet the growing demand for skilled professionals in the field of big data. NMBU is renowned for its commitment to sustainability and innovation, and it provides students with access to state-of-the-art facilities and resources. The university's strong partnerships with various industries enhance the learning experience, ensuring that students are well-prepared for the workforce. NMBU's focus on interdisciplinary approaches allows students to engage with real-world data challenges, making them highly competitive in the job market.Tuition Fee BreakdownThe tuition fees for the Data Science programme are structured as follows:

• International Fee: NOK 150,000 per year
• European Fee: NOK 0 per year

Visit the Fees and Funding section for a breakdown in your local currency.SyllabusThe curriculum is meticulously crafted to provide a comprehensive understanding of data science. Students will engage in the following areas:

• Programming, Computer Science, and Data Mining
• Linear Algebra and Statistics (optional courses available)
• Specialisation courses in areas such as:
  • Geographical Modelling and Analysis
  • Geographical Database Systems
  • Geographical Data Mining
  • Climate Modelling
  • Biostatistics
  • Biophysics
  • Bioinformatics
  • Computational Neuroscience
  • Energy Physics
  • Building Structures
  • Building Performance Simulation
  • Economics
• 30 ECTS Master Thesis focusing on a specific task

Careers with Data ScienceGraduates of the Data Science programme are well-equipped to enter a variety of industries, including:

• Communications
• Energy
• Economics
• Precision Agriculture
• Construction
• Science and Education
• Medicine

With the increasing relevance of big data across sectors, alumni can expect to find roles that are not only rewarding but also critical to solving contemporary challenges. The skills acquired during the programme enable graduates to pursue careers in technical roles that require creativity and problem-solving capabilities, making them valuable assets in the labour market. The curriculum ensures that students develop a strong foundation in both theoretical knowledge and practical application, preparing them for the complexities of data-driven environments. By the end of the programme, graduates will have the skills necessary to analyse and interpret data effectively, communicate solutions to diverse audiences, and contribute to innovation within their chosen fields.