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Summer School at BI

Courses

At our Summer School at BI you can choose one course from the following disciplines: Sustainability or Data Science.

Sustainability

As our world faces increasing environmental and social challenges, having a background in sustainability will equip you with the skills to address emerging issues. Norway actively participates in international efforts related to sustainability, climate change, and environmental protection and is often recognized as a leader in sustainability. 

Sustainability courses

Business Continuity and Sustainability Management

In this course, you'll learn how to run a business smoothly and responsibly. We'll teach you how organizations can tackle challenges, make ethical decisions, and lead long-lasting companies. Key goals include using sustainable practices for the environment and society, making ethical choices in decision-making, and combining continuity and sustainability in organizations effectively.

Purpose-driven brand management

Unlock the potential of brands to create a better world with our course "Purpose-driven Brand Management". In this course, we will explore the power of brands as catalysts for positive change, going beyond profit-making to make a meaningful impact on society and the planet. Students will obtain insights on essential knowledge and skills in brand management, consumer psychology, and ethical marketing.

Data Science

Data Science skills are increasingly valuable for students from a variety of educational disciplines. Studying courses within Data Science will give you a competitive edge, help you to understand trends and patterns in a data driven world and lead to more informed and evidence-based decisions.

Data Science Courses

Excel Programming and Automation

This course focuses on how to take advantage of Excel’s programming and automation functionalities, with no prior knowledge or experience necessary. It will give you a competitive edge when using Excel in both your further studies and career. The course focuses on advanced usage of Excel, with a particular emphasis on writing user – defined functions and (typescript) code to program and automate workbooks (Microsoft has recently announced the ability to use Python in Excel – this is not currently generally available, but will be incorporated into the course if and when it becomes so). In addition to learning how to leverage these powerful tools to increase your proficiency & productivity with Excel, you will also benefit from an introduction to basic programming concepts – illustrated by their application to data processing in Excel.

Students are required to have access to their own computers with access to Excel on the web (i.e. via an Office 365 subscription). The course is open for students from all disciplines and has no prerequisites. 

Programming, Data Extraction and Visualisation

This course covers basic Python programming and data manipulation and visualization packages, aiming to provide students with fundamental skills for solving practical problems in data science. Using a hands-on learning approach, students will develop their programming skills through a variety of in-class and out-of-class exercises.

Throughout the course, students will:

  • Learn how to translate real-world problems into Python code and explore the possibilities of using programming to complete data science tasks.
  • Learn basic data analytics and develop an understanding of the exploratory phase in empirical investigations.