Vrije Universiteit Amsterdam (VU Amsterdam)
Master of Science
On Campus
Vrije Universiteit Amsterdam (VU Amsterdam)
Vrije Universiteit Amsterdam (VU Amsterdam)
Amsterdam
Netherlands

Business Analytics - Computational Intelligence

About

The Master of Science in Business Analytics – Computational Intelligence at Vrije Universiteit Amsterdam (VU Amsterdam) is a two-year, full-time on-campus program that focuses on advanced data-driven decision-making using artificial intelligence and computational methods. The program combines business analytics with machine learning, optimization, and computational intelligence techniques to solve complex business problems. Students learn how to design intelligent systems that can analyze large datasets, detect patterns, and support strategic decision-making in organizations.

Graduates of Vrije Universiteit Amsterdam (VU Amsterdam) are well-prepared for careers in data science, business intelligence, artificial intelligence development, consulting, and analytics roles across various industries. Through a curriculum focused on computational intelligence, machine learning applications, and advanced business analytics, students develop strong technical and analytical skills needed to build intelligent data-driven solutions for modern organizations.

Key Facts

Program Details
Degree: Master of Science
Location: Amsterdam, Netherlands
Academic Information
Area of study: Business Intelligence
Study Format
Study Type: On Campus
Format: Full-time
Language
-

Key Facts

  • Program Title: Business Analytics - Computational Intelligence
  • Degree Type: Master of Science
  • Duration: 2 years
  • Mode of Study: Full-time, On Campus
  • Application Deadline: 01 June 2026
  • Location: Vrije Universiteit Amsterdam (VU Amsterdam), Netherlands
  • Field of Study: Business Intelligence
  • Language of Instruction: English

Program Structure

Semester 1 – Foundations in Business Analytics and Computational Intelligence

  • Introduction to Business Analytics
  • Computational Intelligence and Machine Learning
  • Research Methods in Business Analytics

Semester 2 – Advanced Business Analytics and Intelligence

  • Data Mining and Predictive Analytics
  • Artificial Intelligence in Business
  • Seminar: Business Applications of Computational Intelligence

Semester 3 – Specialization in Business Analytics

  • Big Data and Cloud Computing
  • Advanced Analytics for Business Decisions
  • Independent Research Project

Semester 4 – Master’s Thesis & Research Project

  • Independent Research / Thesis
  • Data Analysis in Business Analytics
  • Final Presentation & Research Portfolio Development

Career Opportunities

Graduates of the Business Analytics – Computational Intelligence Master’s program are highly sought after in data analysis, artificial intelligence, and business strategy. With expertise in computational intelligence, machine learning, and data-driven decision-making, graduates are well-equipped to take on roles such as data scientists, business analysts, or AI specialists. The increasing reliance on data analytics and AI technologies in business ensures abundant career opportunities in technology firms, consulting companies, and finance industries.

Why Choose This Program

The Business Analytics – Computational Intelligence Master’s program blends advanced data analysis techniques with cutting-edge computational intelligence tools. Students gain hands-on experience in machine learning, data mining, and predictive analytics, preparing them for a rapidly evolving job market. The program’s focus on practical applications ensures that graduates are equipped to apply their technical skills to real-world business challenges, offering them a competitive edge in data-driven industries.

Contact Information

For further information, please contact the admissions office at:
Phone: +31 20 598 5555
Email: internationalstudents@vu.nl
Address: Vrije Universiteit Amsterdam (VU Amsterdam), De Boelelaan 1105, 1081 HV Amsterdam, Netherlands

Duration
-
Tuition fee
$27,870.00/year
Location
Amsterdam, Netherlands
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