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Business Analytics and Management● OpenMastersPreview

MSc in Business Analytics & Management

A one-year master’s programme combining data-driven decision-making with strategic business problem-solving in Rotterdam’s dynamic business environment.

Best for:Best for graduates with a quantitative background who want to specialize in business analytics, combining technical skills with strategic business problem-solving.

Erasmus University Rotterdam · Rotterdam, Netherlands
More professors at Erasmus University Rotterdam
data-driven decision-makingsupply chain analyticsbusiness process optimizationcausal analysis in businessdigital footprints and analyticsfintech business models
This is a masters position — not a PhD studentship.
Deadline
May 15, 2027
213 days
Funding
Unfunded
1 year
Start date
flexible (typically September)
Full-time
Location
Rotterdam
Netherlands

Overview

This one-year full-time master’s programme at Erasmus University Rotterdam equips students with advanced analytics skills to tackle complex business challenges. Focusing on operational, tactical, and strategic data-driven decision-making, it bridges the gap between technical expertise and business applications. Students explore real-world problems in sectors like retail, logistics, and fintech, using methods such as causal analysis and predictive modeling. The curriculum includes core courses followed by electives like supply chain analytics and digital footprints, culminating in a thesis project. Ideal for graduates seeking to merge analytical rigor with business acumen in a data-rich economy.

business analyticsdata science for businessdecision-making modelssupply chain optimizationfintech analyticsadvanced analyticsbusiness strategylogistics analytics

What you'll do

  • Develop and apply advanced analytical methods to solve complex business problems in operational, tactical, and strategic contexts.
  • Analyze large datasets to identify causal relationships and derive actionable business insights.
  • Select and execute appropriate analytical techniques for specific business challenges, such as supply chain logistics or digital footprints.
  • Communicate analytical findings clearly to both technical and non-technical stakeholders within organizations.
  • Complete a thesis project that integrates coursework knowledge with real-world business scenarios.
  • Engage in elective courses tailored to specialized areas like fintech, digital transformation, or strategic management.

Requirements

Degree required: Bachelor’s degree in Business Administration, Economics, Data Science, Computer Science, or a related quantitative field.

Degree offered: Master of Science (MSc)

Language: English; Cambridge Certificate in Advanced English (C1) or equivalent (IELTS 7.0 overall, TOEFL 95 iBT or 95 CBT).

Instruction: English

Required skills
  • Proficiency in statistical analysis and data modeling techniques.
  • Strong quantitative reasoning and problem-solving skills.
  • Ability to interpret and communicate complex data insights to diverse audiences.
  • Familiarity with business operations and strategic decision-making processes.
Nice to have
Experience with programming languages such as Python, R, or SQL.Background in machine learning or predictive analytics.Knowledge of business intelligence tools or software.
Eligibility
  • No specific nationality restrictions.
  • No age restrictions.
  • No prior work experience requirements.

Funding & terms

Type
Unfunded
Amount
—
Duration
1 year
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: 2027-05-15

Applicants must submit their application through the Erasmus University Rotterdam’s official portal. Required documents include a CV, proof of language proficiency, academic transcripts, and a motivation letter. Additional materials may be requested depending on the application status.

Documents required
  • CV
  • Proof of English language proficiency (Cambridge C1 or equivalent)
  • Academic transcripts and degree certificate
  • Motivation letter
  • Reference letters (if required)
↗Check programme and admissions

Contact

Lab
Rotterdam School of Management (RSM)
Erasmus University Rotterdam
Netherlands
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.