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Mathematics, natural sciences and computer science● OpenMastersPreview

Business Analytics

Harness data science to drive business success.

Best for:Ideal for individuals passionate about data-driven decision-making in business contexts.

Vrije Universiteit Amsterdam · Amsterdam, Netherlands
More professors at Vrije Universiteit Amsterdam
Data ScienceMachine LearningStatisticsBusiness OptimizationFinancial Risk Management
This is a masters position — not a PhD studentship.
Deadline
Apr 1, 2027
169 days
Funding
—
2 years
Start date
unknown
Location
Amsterdam
Netherlands

Overview

The Master's programme in Business Analytics at Vrije Universiteit Amsterdam equips students with the skills to leverage data science, statistics, and machine learning for strategic business optimization. Participants will engage in a curriculum that blends mathematics, computer science, and economics, enhancing their analytical and communication abilities. The program includes practical applications through real-life projects and offers specializations in areas such as Business Process Optimization and Financial Risk Management. A six-month internship at a company is also part of the curriculum, providing valuable industry experience.

Business AnalyticsData ScienceMachine LearningStatisticsOptimizationEconomicsInternship

What you'll do

  • Engage in coursework that covers the entire data-to-solution process.
  • Participate in real-life projects and case studies to apply theoretical knowledge.
  • Specialize in one of the four tracks offered in the program.
  • Complete a six-month internship to gain practical experience in the industry.

Requirements

Degree required: Bachelor's degree in a relevant field

Degree offered: Master of Science

Language: English; IELTS 6.5 or equivalent

Instruction: English

Required skills
  • Strong analytical skills
  • Proficiency in data science and statistics
  • Ability to communicate complex ideas effectively
Nice to have
Experience with machine learning techniquesFamiliarity with business processesKnowledge of programming languages relevant to data analysis
Eligibility
  • Open to all nationalities
  • Bachelor's degree or equivalent required

Funding & terms

Type
Unknown
Amount
—
Duration
2 years
Programme
—

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
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: 2027-04-01

Interested candidates should apply through the university's application portal. Ensure all required documents are submitted before the deadline.

Documents required
  • CV
  • Cover letter
  • Bachelor's degree transcripts
  • Language proficiency test results
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