Vrije Universiteit Amsterdam

Netherlands
4 Scholarships 92 Programs 3 Degree levels
Masters

Business Analytics - Computational Intelligence

Offered at Vrije Universiteit Amsterdam, Netherlands
DegreeMasters
FieldMSc Business Analytics
Duration2 years
Tuition24150.00

Overview

Business Analytics – Computational Intelligence (MSc) at Vrije Universiteit Amsterdam (VU Amsterdam) trains you to turn data into decision-ready solutions using advanced analytics, machine learning, and computational intelligence methods.You’ll learn through a mix of technical courses and a Master’s project, applying models to real business and data science challenges.

About this programme

Overview

The Business Analytics – Computational Intelligence (MSc) program at Vrije Universiteit Amsterdam equips students with the skills to transform data into actionable insights. This program emphasizes advanced analytics, machine learning, and computational intelligence, enabling graduates to tackle real-world business challenges.

What you’ll study

The curriculum combines technical coursework with a hands-on Master’s project, allowing students to apply theoretical models to practical data science issues. Key subjects include:

  • Evolutionary Computing
  • Deep Learning
  • Natural Language Processing
  • Advanced Machine Learning
  • Applied Stochastic Modeling
  • Statistical Models
  • Research Seminar in Business Analytics
  • Master Project in Business Analytics (capstone project)

The Master Project is a significant component of the program where students tackle a substantial analytics problem, working on either a research or application-oriented project that culminates in a final report and presentation.

Entry requirements

Applicants should possess an educational background equivalent to at least a Dutch academic Bachelor’s degree from a research university, typically requiring three years of study. Specific requirements include:

  • 90 ECTS (or equivalent) in Mathematics/Econometrics/Computer Science at the university Bachelor’s level, which must include:
  • 45 ECTS in Mathematics, with 6 ECTS in Probability Theory and 6 ECTS in Statistics
  • At least 6 ECTS in Programming (Java, Python, C++, or another formal programming language) covering Object-Oriented Programming (OOP)

Career prospects

Graduates of the Business Analytics – Computational Intelligence program can pursue a variety of career paths, including roles in data analysis, business intelligence, and machine learning engineering. The skill set developed during the program prepares students for positions in diverse sectors, where data-driven decision-making is paramount.

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Programme details are indicative and may change — always verify current information with the official university website before applying.