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Business Intelligence (BI) bridges the gap between modern data science and business applications by transforming data into insights that enable strategic business decision-making. The MSc in Economics and Business Administration – Business Intelligence takes a data-driven approach to solving business problems by focusing on:
extracting and analysing information from data to predict behaviour and recognise natural patterns
visualising and presenting results to support managerial decision-making.
The BI programme aims to prepare the students to use a variety of state-of-the-art data analytics tools and apply data science to solve the complex and interdisciplinary challenges that businesses face. During the BI programme, the students will work with data-driven business projects such as:
Generative AI for Customer Service: Build a chatbot using open-source language models that can handle common customer inquiries in the retail industry, potentially reducing response times.
Fraud Detection in E-Commerce: Implement machine learning algorithms to detect unusual purchasing patterns, potentially preventing fraudulent transactions in online stores.
Data-Driven Business Development for Healthcare: Develop predictive models to forecast patient inflow in hospitals, enabling efficient staff and resource allocation.
Visual Analytics for Sales Managers: Build interactive dashboards that analyse sales data, helping managers forecast trends, identify underperforming regions, and optimise resource allocation.
AI Adoption in Hospitality: Guide hotels in deploying AI solutions for automating room bookings, feedback collection, and optimising housekeeping schedules.
Recommender Systems for Media: Develop algorithms that suggest movies or series to subscribers of a streaming platform based on their viewing history.
Customer Analytics in Retail: Implement clustering techniques to segment customers of a fashion brand, predicting inventory needs for different locations based on regional preferences.
A broad quantitative profile
Combining a solid business understanding with strong analytical skills is essential for turning data into business value. The BI programme is designed to equip participants with the analytical expertise needed for managerial and data specialist roles in both private and public sectors, as well as consulting firms. Participants will gain experience in planning and implementing business intelligence solutions, utilising the latest methods in machine learning, data mining, and deep learning. They will acquire the ability to generate insights from large and complex datasets, commonly known as Big Data. Additionally, attendees will become proficient in using data analysis programming languages such as R, SQL, and Python for tasks ranging from data structuring and extraction to modelling, communication, and deployment.
Careers
Graduates who complete the Business Intelligence programme acquire analytical and quantitative skills that are highly demanded by both the public and private sector. BI graduates take up positions in international or Danish companies, public institutions, and consulting firms as BI consultants, data scientists, data engineers, advanced data analysts, machine learning developers, or product owners. After a few years on the labour market, many BI graduates advance to senior data specialist roles (senior data scientist, senior automation engineer, etc.) or managerial roles (BI lead, head of AI, etc.).
Programme overview
Main Subject
Business and Management Studies
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Business Intelligence (BI) bridges the gap between modern data science and business applications by transforming data into insights that enable strategic business decision-making. The MSc in Economics and Business Administration – Business Intelligence takes a data-driven approach to solving business problems by focusing on:
extracting and analysing information from data to predict behaviour and recognise natural patterns
visualising and presenting results to support managerial decision-making.
The BI programme aims to prepare the students to use a variety of state-of-the-art data analytics tools and apply data science to solve the complex and interdisciplinary challenges that businesses face. During the BI programme, the students will work with data-driven business projects such as:
Generative AI for Customer Service: Build a chatbot using open-source language models that can handle common customer inquiries in the retail industry, potentially reducing response times.
Fraud Detection in E-Commerce: Implement machine learning algorithms to detect unusual purchasing patterns, potentially preventing fraudulent transactions in online stores.
Data-Driven Business Development for Healthcare: Develop predictive models to forecast patient inflow in hospitals, enabling efficient staff and resource allocation.
Visual Analytics for Sales Managers: Build interactive dashboards that analyse sales data, helping managers forecast trends, identify underperforming regions, and optimise resource allocation.
AI Adoption in Hospitality: Guide hotels in deploying AI solutions for automating room bookings, feedback collection, and optimising housekeeping schedules.
Recommender Systems for Media: Develop algorithms that suggest movies or series to subscribers of a streaming platform based on their viewing history.
Customer Analytics in Retail: Implement clustering techniques to segment customers of a fashion brand, predicting inventory needs for different locations based on regional preferences.
A broad quantitative profile
Combining a solid business understanding with strong analytical skills is essential for turning data into business value. The BI programme is designed to equip participants with the analytical expertise needed for managerial and data specialist roles in both private and public sectors, as well as consulting firms. Participants will gain experience in planning and implementing business intelligence solutions, utilising the latest methods in machine learning, data mining, and deep learning. They will acquire the ability to generate insights from large and complex datasets, commonly known as Big Data. Additionally, attendees will become proficient in using data analysis programming languages such as R, SQL, and Python for tasks ranging from data structuring and extraction to modelling, communication, and deployment.
Careers
Graduates who complete the Business Intelligence programme acquire analytical and quantitative skills that are highly demanded by both the public and private sector. BI graduates take up positions in international or Danish companies, public institutions, and consulting firms as BI consultants, data scientists, data engineers, advanced data analysts, machine learning developers, or product owners. After a few years on the labour market, many BI graduates advance to senior data specialist roles (senior data scientist, senior automation engineer, etc.) or managerial roles (BI lead, head of AI, etc.).
Admission Requirements
83+
6.5+
180+
Depending on your educational background and your qualifications, there are different ways to meet the admission requirements:
1. International and other qualifications
This section is relevant for you, if you have:
a Bachelor's degree or equivalent from an institution outside of Denmark or
a Bachelor's degree or equivalent from a Danish institution, which does not ensure you a 'Legal right of admission´ or 'Direct admission'.
The two sections listed below are relevant only for students with a bachelor's degree from a Danish institution:
MSc in Economics and Business Administration - Business Intelligence
Aarhus Campus, Aarhus, Denmark
# 151-200QS Subject Rankings
24 monthsProgramme duration
10,000 EURTuition Fee/year
1Scholarships
Programme overview
Main Subject
Business and Management Studies
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Business Intelligence (BI) bridges the gap between modern data science and business applications by transforming data into insights that enable strategic business decision-making. The MSc in Economics and Business Administration – Business Intelligence takes a data-driven approach to solving business problems by focusing on:
The BI programme aims to prepare the students to use a variety of state-of-the-art data analytics tools and apply data science to solve the complex and interdisciplinary challenges that businesses face. During the BI programme, the students will work with data-driven business projects such as:
A broad quantitative profile
Combining a solid business understanding with strong analytical skills is essential for turning data into business value. The BI programme is designed to equip participants with the analytical expertise needed for managerial and data specialist roles in both private and public sectors, as well as consulting firms. Participants will gain experience in planning and implementing business intelligence solutions, utilising the latest methods in machine learning, data mining, and deep learning. They will acquire the ability to generate insights from large and complex datasets, commonly known as Big Data. Additionally, attendees will become proficient in using data analysis programming languages such as R, SQL, and Python for tasks ranging from data structuring and extraction to modelling, communication, and deployment.
Careers
Graduates who complete the Business Intelligence programme acquire analytical and quantitative skills that are highly demanded by both the public and private sector. BI graduates take up positions in international or Danish companies, public institutions, and consulting firms as BI consultants, data scientists, data engineers, advanced data analysts, machine learning developers, or product owners. After a few years on the labour market, many BI graduates advance to senior data specialist roles (senior data scientist, senior automation engineer, etc.) or managerial roles (BI lead, head of AI, etc.).
Programme overview
Main Subject
Business and Management Studies
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Business Intelligence (BI) bridges the gap between modern data science and business applications by transforming data into insights that enable strategic business decision-making. The MSc in Economics and Business Administration – Business Intelligence takes a data-driven approach to solving business problems by focusing on:
The BI programme aims to prepare the students to use a variety of state-of-the-art data analytics tools and apply data science to solve the complex and interdisciplinary challenges that businesses face. During the BI programme, the students will work with data-driven business projects such as:
A broad quantitative profile
Combining a solid business understanding with strong analytical skills is essential for turning data into business value. The BI programme is designed to equip participants with the analytical expertise needed for managerial and data specialist roles in both private and public sectors, as well as consulting firms. Participants will gain experience in planning and implementing business intelligence solutions, utilising the latest methods in machine learning, data mining, and deep learning. They will acquire the ability to generate insights from large and complex datasets, commonly known as Big Data. Additionally, attendees will become proficient in using data analysis programming languages such as R, SQL, and Python for tasks ranging from data structuring and extraction to modelling, communication, and deployment.
Careers
Graduates who complete the Business Intelligence programme acquire analytical and quantitative skills that are highly demanded by both the public and private sector. BI graduates take up positions in international or Danish companies, public institutions, and consulting firms as BI consultants, data scientists, data engineers, advanced data analysts, machine learning developers, or product owners. After a few years on the labour market, many BI graduates advance to senior data specialist roles (senior data scientist, senior automation engineer, etc.) or managerial roles (BI lead, head of AI, etc.).
Admission Requirements
1. International and other qualifications
This section is relevant for you, if you have:
The two sections listed below are relevant only for students with a bachelor's degree from a Danish institution:
2. Legal right of admission
3. Direct admission
Domestic
International
Scholarships
Danish State Scholarship
Value
100% tuition fee waiver
Deadline
15 Jan 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
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