MSc in Business Administration and Data Science
A two-year master’s programme blending business analytics with data-driven decision-making for strategic innovation.
Best for:Best for graduates with a strong quantitative background who want to specialize in data science for business strategy and innovation.
Overview
This two-year master’s programme at Copenhagen Business School (CBS) merges analytical rigor with business context to equip students with skills in data mining, machine learning, and deep learning. Students learn to transform large datasets into actionable business insights, applying predictive and visual analytics to inform decision-making. The curriculum covers digital transformation, strategic impact of data, and operational challenges in the digital economy. It is designed for graduates seeking to bridge technical expertise with business strategy, preparing them for roles in data-driven industries. The programme emphasizes interdisciplinary collaboration and practical application of advanced analytical tools.
What you'll do
- Develop and apply advanced data analytics techniques, including machine learning and deep learning, to solve business problems.
- Conduct visual, text, and predictive analysis to transform big data into actionable business insights.
- Design and implement data-driven platforms for decision-making in corporate settings.
- Analyze the strategic and operational impact of digitalization on business innovation and strategy.
- Collaborate with peers and industry partners to explore real-world applications of data science in business contexts.
- Develop fact-based platforms for decision-making using the latest methodologies in data mining and analytics.
- Understand and address the challenges and opportunities presented by the increasing availability of data in the digital economy.
Requirements
Degree required: Bachelor’s degree in Business Administration, Economics, Computer Science, Data Science, or a related field.
Degree offered: MSc in Business Administration and Data Science
Language: English; proficiency required for academic work and instruction
Instruction: English
- Strong quantitative and analytical skills
- Proficiency in data analysis tools and software
- Basic understanding of machine learning and statistical methods
- Ability to work with large datasets
- Familiarity with business contexts and decision-making processes
- Open to international applicants
- No specific residency or nationality restrictions mentioned
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
- Not confirmed by the source
- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
- Not confirmed by the source
- Application instructions
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- Tuition
- Not confirmed by the source
- Funding
- Not confirmed by the source
How to apply
Deadline: Unknown (typically rolling or per academic intake)
Applicants must apply through the official Copenhagen Business School application portal. The process involves submitting academic transcripts, a CV, a statement of purpose, and proof of English proficiency. Additional documents may be required based on prior education.
- CV
- Statement of Purpose
- Academic transcripts (Bachelor’s degree)
- Proof of English proficiency (e.g., IELTS, TOEFL)
- Letter of recommendation (if applicable)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.