Business Analytics BSc

3 Years On Campus Bachelors Program

University of Amsterdam

Program Overview

The BSc Business Analytics at the University of Amsterdam is a dynamic three-year program that blends analytics, business economics, and computer science—think big data, AI, machine learning, and real-world business challenges—to equip you with skills that top employers crave. It's perfect if you love math, programming, and using data to drive smart business decisions, helping organizations boost performance in areas like finance, marketing, and HR.

Curriculum Structure

Year 1: Build a rock-solid foundation
You'll start by understanding how organizations operate and interact with their world, while mastering quantitative tools to analyze them—courses like Calculus, Linear Algebra, Probability Theory and Statistics give you the math backbone. Then, introductory classes in Artificial Intelligence, Programming, and Data Science show you how to apply these to practical problems, setting you up perfectly for deeper dives ahead.

Year 2: Dive into analytics and sharpen entrepreneurial edges
Here, you'll specialize in tackling business issues across domains with cutting-edge tools, taking courses like Optimization, Machine Learning, Algorithms and Data Structures, and joining a Hackathon to test your skills in real projects. This year builds your ability to model complex problems using data science and AI, while sparking entrepreneurial thinking that employers love.

Year 3: Advanced application and specialization
In your final year, you'll apply everything to sophisticated business analytics projects, bridging AI/machine learning with economics in areas like finance, marketing, accounting, HR, and entrepreneurship—often through capstone work or electives that align with your interests. You'll also prepare for seamless entry into Master's programs, honing skills for data-driven leadership.

Focus areas
AI/machine learning, big data analytics, programming, business economics, optimization—applied to real business challenges in finance, marketing, HR, and more.

Learning outcomes
Graduates solve business problems using computational techniques, advanced analytics, data science, and economic insights; develop analytical models with AI/ML; and make data-driven decisions for organizational performance.

Professional alignment (accreditation)
Offered by the Triple Crown accredited Amsterdam Business School (AACSB, AMBA, EQUIS), ensuring global recognition and direct access to top Master's like Data Science and Business Analytics.

Reputation (employability rankings)
Exceptional career prospects in a booming field—guaranteed Master's entry and skills in high-demand areas like AI-driven business analytics, with alumni landing roles turning big data into opportunities, as noted by industry leaders.

Ready to take the next step? Apply now: https://www.uva.nl/en/programmes/bachelors/business-analytics/business-analytics.html

Experiential Learning (Research, Projects, Internships etc.)

One of the standout features of UvA's Business Analytics programme is how deeply it integrates practical, hands-on learning into every semester. You won't just sit in lectures absorbing theory—you'll be actively working on exciting business cases from day one, learning how to execute data science and analytics projects from beginning to end. This means you're developing the exact skills employers are hunting for right now.

Throughout your study week, you'll spend time in structured practicals where you learn to work with various mathematical and statistical computer programmes. This isn't abstract learning; it's direct experience with the tools you'll use professionally. You'll also benefit from weekly coaching in small groups during your first six months, paired with senior students who guide you through the foundational material. By Year 1, you're already applying quantitative methods and machine learning techniques to solve real problems, rather than waiting until graduation to see how it all connects.

What makes this programme particularly valuable is the integration of analytics, business economics, and computer science—a combination designed to make your degree stand out to future employers. Here's what you can expect in terms of facilities and learning opportunities:

- Practical computer lab sessions where you work with statistical software and programming tools essential for data science
- Group seminars in small groups (6 hours per week) where you tackle exercises and practice assignments collaboratively with peers
- Real business case projects that let you apply AI and machine learning to actual organisational challenges
- Foundational courses in programming and artificial intelligence that build your technical toolkit from the ground up
- Access to the Roeterseiland Campus in central Amsterdam, where the programme is located
- Unconditional and direct access to follow-on Master's programmes, including the Data Science and Business Analytics Master's where you can deepen your expertise

After graduation, you'll be equipped to pursue advanced programmes like the Data Science and Business Analytics Master's, which teaches you to solve business problems using computational approaches—a highly sought-after skill combination on the job market.

For more details about campus facilities and resources available to you as a Business Analytics student, you can explore the full campus information and contact the programme team directly through the university's official channels.

Progression & Future Opportunities

In the Business Analytics BSc at the University of Amsterdam, you'll gain hands-on practical skills by working on real-world business cases from day one, blending data science, AI, machine learning, and business economics to solve actual organizational challenges. You'll dive into executing full data science and analytics projects, using mathematical foundations like calculus, linear algebra, probability, and statistics applied directly to business problems. This happens through a mix of lectures, small-group seminars for discussions and exercises, and dedicated practical sessions where you get comfortable with essential software tools—all at the vibrant Roeterseiland campus in central Amsterdam.

Here's how you'll build those skills in practice:
- Practical sessions with mathematical and statistical software: Hands-on time learning to use various computer programs for data analysis, AI, and programming, building your technical expertise right from year 1.
- Exciting business cases and group projects: Tackle real-world analytics projects end-to-end in seminars and study groups, often collaborating with peers (including shared sessions with related programs like Econometrics and Data Science).
- Introductory AI, programming, and data science courses: Apply math to practical problems through coding and machine learning techniques, preparing you for data-driven business decisions.
- Weekly skills coaching: In your first 6 months, get personalized guidance from senior student coaches in fixed small groups to sharpen your project execution and analytical mindset.
- Amsterdam Business School facilities: Study at this Triple Crown accredited school on the Roeterseiland campus, with access to modern spaces for lectures, seminars, and self-study in an international environment.

This practical focus sets you up for excellent career prospects and direct entry to top Master's programs—imagine turning your passion for data into real impact. Ready to apply? Check out the full facilities and campus details here: [UvA Campus Map and Facilities](https://www.uva.nl/en/programmes/bachelors/business-analytics/contact/contact.html).

Additional Information & Requirements

Your secondary school diploma should be equivalent to the level and content of a Dutch VWO secondary school diploma.
Mathematics must be one of the subjects of your final examinations.
You need a Dutch VWO-B level of mathematics or a non-Dutch equivalent.
The following domains are defined for Dutch high-school students who take VWO-B level of mathematics: Skills, Functions, Graphs and Equations, Differential and Integral Calculus, Trigonometric Functions, and Coordinate Geometry.
If you have obtained or will obtain a Dutch HBO-p certificate, you can apply. You also need VWO Wiskunde B State Exam Mathematics B (registration deadline 31 December) or CCVX Mathematics B.
Non-EU students are required to submit an English proficiency test.
TOEFL iBT Test: minimum total score of 92 with a minimum of 22 per subscore.
IELTS Academic: overall band score of 6.5 with a minimum of 6.0 per subscore.
Cambridge C1 Advanced or C2 Proficiency: overall score of 180 and a minimum of 180 per skill.
English proficiency test scores may not be older than 2 years, counting back from the start of the programme.
For September 2026 intake, English proficiency tests taken before September 2024 are not accepted.
Sufficient English proficiency test scores received after the application deadline are accepted, as long as the test was taken before the application deadline.
Applications without a sufficient English proficiency score, or with a test date after the application deadline, will not be accepted.
For certain secondary school diplomas, an additional mandatory OMPT-D test is required with a score of at least 70% to pass.
You have 3 attempts to obtain a sufficient OMPT-D score.
The OMPT-D test is not accepted as a substitute to eliminate missing mathematics in your final examination.
If your secondary school diploma does not meet the mathematics entry requirements, you can take one of the mathematics B certificate courses (not available online, in the Netherlands).
European Baccalaureate: 5-period Mathematics (grade of 7.5 points or higher highly recommended).
European Baccalaureate: English as first or second language (minimum final score result: 6) exempts from English proficiency test.