Applied Data Science & Artificial Intelligence

Bachelor
4 years
Full-time
English

Are you fascinated by new technologies and do you think you would enjoy working with AI and data? Great choice! This rapidly evolving field offers numerous opportunities for innovation – and for you! Explore them in our Applied Data Science & Artificial Intelligence programme.

This bachelor’s programme lays the foundations for a career as a Data Scientist, AI Engineer or Data Consultant. In all these roles, you will be solving problems based on data analysis and AI technologies. Think better healthcare diagnosis and treatment, sustainable food production and smarter energy networks. You will not only learn how to analyse data, but more importantly, how to use that knowledge to make the world a better place. 

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What is Applied Data Science & Artificial Intelligence?

Why this study programme at BUas?

  • Small-scale education, lecturers from the international industry
  • Project-based education with real-life projects in our DataLab
  • Fully English-taught degree programme in an international classroom

Zoom in on Applied Data Science & Ai

Study overview

Year 1

The first year consists of four blocks. They cover basic skills that build towards tightly defined projects to enhance your knowledge. Topics that will be discussed are:

  • AI & Future markets
  • Project & change management
  • Data Science
  • Mathematics & Statistics
  • Programming in Python
  • Data interface design

Two days a week you work on projects in DataLab.

A complete overview of the curriculum, courses, content descriptions and learning objectives can be found in the study guide. Below, we explain what you can expect in each year. 



To video presentation

Years 2, 3 and 4


Year 2 
In the second year, you will attend four blocks in which you continue to develop your skills in your chosen role: Data Scientist, Data Engineer or Data Translator. During this year, you will also spend two days a week working in the DataLab. 

Year 3 
During the first half of the third year, which consists of two blocks, you will work full-time on projects in the DataLab, specialising further in your chosen role. In addition, you will delve into a specific application area, such as Data Science & Logistics, Built Environment, Media or Games. You will also have the opportunity to go on exchange in the first half of the year. In the second half of the third year, you will do a placement. 

Year 4 
In your graduation year, you will work on two projects. You can choose from several options: work on your portfolio, both individually and as part of a team (with individual assessment), undertake a project at a company where you deliver a concrete result, write a business plan or start your own company supported by our specialists in entrepreneurship, or spend a semester on exchange at one of our partner universities. You can also combine two of these projects into a year-long project. Alternatively, you may gain a year’s work experience in a graduation internship.   

Placement

In the second half of the third year, you will undertake a work placement. What’s more, you can choose to complete a graduation internship in the fourth year. During your placement, you will gain practical experience and discover what suits you best. The programme has an international network which offers a wide range of work placements, both at home and abroad. You can make use of this network or look for a suitable placement yourself. The Student Affairs team will support you in your search for a placement. 

Exchange

Spending time studying abroad offers you the opportunity to push your boundaries, both literally and figuratively. You expand your international network, learn another language and gain more insight into intercultural differences (and similarities!). Breda University of Applied Sciences has contacts with numerous universities all over the world where you can go as an exchange student. 

Our partner universities:  

  • St. Polten University (St. Polten, Austria) 
  • Salzburg UAS (Salzburg, Austria) 
  • Thomas More University (Belgium) 
  • HOWEST (Belgium) 
  • Jyväskylä University of Applied Sciences (Jyväskylä, Finland) 
  • Savonia UAS (Finland) 
  • UAS Schmalkalden (Germany) 
  • Kempten University of Applied Sciences (Kempten, Germany) 
  • Kristiania University College (Norway) 
  • University of the Grisons (Graubünden, Switzerland) 
  • SUPSI (Switzerland) 
  • Northern Arizona University (Flagstaff, US) 
Minor

During a minor, you can choose whether you want to delve deeper into your current field of study or broaden your horizons in a different subject. You can choose to take a minor at BUas. Check out all the minors that BUas offers here. You can also choose a minor at another university of applied sciences in the Netherlands or go abroad.

Teaching method

The programme uses the method of project-based education. This means that you gain your knowledge and skills by investigating a complex question, problem or challenge over a period of time. As a result, you learn how to analyse a problem and how to use different resources to arrive at a good solution.   

During this programme, you will develop into a data specialist, AI programmer or project manager/consultant. In a digital learning environment, you will learn to gain knowledge and insights from data using specific methods, processes and systems. You will also gain a broad knowledge of artificial intelligence. 

Depending on your chosen role, you will develop skills in technology and consulting. The study programme has adopted a project-driven education method. Throughout all four years of study, you will work on various data projects in a simulated DataLab, both individually and with other students. 

Study load and coaching

The Applied Data Science & Artificial Intelligence bachelor’s programme of BUas is the first in the Netherlands to focus on the practical implementation of Artificial Intelligence. The programme is challenging and demanding, requiring long days either on the BUas campus or at a placement host company. Keep in mind that this study programme will take up a lot of your time. We are looking for students who are genuinely interested in the field.

A typical week

Below, you will find an example of a typical week. Keep in mind that this schedule may vary each week, and this example serves as an indication. 

Monday – DataLab day 

  • 09.15-09.30: Stand-up session where we discuss what we worked on the day before and what we will do today  
  • 09.30-10.00: Planning the week ahead - what needs to be done to complete the project on time   
  • 10.00-12.00: Working on the project
  • 12.00-13.00: Lunch 
  • 13.00-17.00: Continuing working on the project 

Tuesday – Independent study day  

  • 12.00-18.00: Working on the project 

Wednesday – DataLab day 

  • 09.15-9.30: Stand-up session 
  • 9.30-12.00: Working on the project 
  • 13.00-14.00: Lecture on the current part of the project by one of the lecturers  
  • 14.00-17.00: Continuing working on the project   

Thursday – Independent study day 

  • 11.00-18.00: Working on the project 

Friday – Independent study day  

  • 11.00-18.00: Working on the project   

 


Student well-being
BUas encourages and helps you to make the most of yourself, whatever your circumstances. Maybe you have a chronic illness, are a family carer, a competitive athlete, or juggle your studies with running your own business? Our study coaches, student counsellors and student psychologists are here to help. Do you need extra support or advice? Or extra facilities? Then take a look at the options here.

Team roles

In practice, AI and data projects are not carried out by individuals, but mainly by teams of specialists. Such a team typically consists of a Data Scientist, a Data Engineer and a Data Translator. In each project, you choose one of these roles. 

Many of the sectors that BUas trains for are being radically changed by the emergence of AI applications. A few examples:

In urban development, AI applications in smart cities can increase well-being. In logistics, smart inventory management and forecasting, integration of companies through data (industry 4.0) in combination with robotised warehouses ensure more efficient (and more labour-intensive) production. In the media industry, adaptive interfaces ensure that content and advertising are better tailored to individual users. Similarly, the tourism and hospitality industry aim to better tailor their offers to individuals. Chatbots directed by AI contribute to this. AI can contribute to problems such as over-tourism through smart approaches to crowd management.

In the third year, students choose an application area. They are taught relevant sector knowledge and the role of data in workshops. In the DataLab they work on the solution of a problem from the chosen sector. 

Study tracks after vwo or hbo

Vwo

With a vwo diploma or a diploma from a similar previous educational institution abroad you may obtain your professional bachelor’s degree in three years instead of four. This will save you a year of time and tuition fees! Of course, you have to meet the admission requirements. The selection procedure is the same as for the four-year programme. 

How does it work?
You will start in the field of study for which you have been selected and must pass your propaedeutic phase in one year. After that, you will complete the second year, which has the same content as the second year of the regular four-year programme. In the third year, you will graduate by means of a placement and/or project. You can do such a project individually or in a team. You will always be assessed individually.

If you would like to know more about the three-year track for vwo graduates, please contact us via [email protected].

Hbo propaedeutic certificate

You are also eligible for a three-year track if you have obtained a propaedeutic certificate from a hbo Applied Mathematics or Engineering Mathematics programme. You will then start in the second year of the regular programme. You can submit this fast-track application via Studielink.

If you would like to know more about the three-year track after a hbo propaedeutic certificate, please contact us via [email protected].

 

Entrepreneurship

At BUas you are trained to become an entrepreneurial professional. In all the professional bachelor’s programmes, you are given the opportunity to develop your entrepreneurial skills. Alongside your studies, you can join BUas Startup Support, BUSS. BUSS organises (networking) events and connects student startup entrepreneurs, there is even the possibility to apply for guidance from your own startup coach.

You can also graduate within BUas with your own company! Every academy offers this opportunity, though a selection process may apply. Maybe, by that time, you already have a small profitable business or have plans to start one? BUas Startup Support can help you.   

More information on how to start your own business.

What makes this study programme unique

Admission & application

What are the admission requirements? 

To be admitted to this degree programme, you need a havo or vwo diploma with an appropriate profile, or an equivalent of these Dutch diplomas. You can also be admitted with an equivalent of level-4 mbo diploma. If you do not meet these requirements, you can have a look at the options available to you.

Information about admission requirements


What does this study programme cost? 

In the academic year 2025-2026 the statutory + tuition fee for this bachelor programme is €3,250. In addition, you should take extra costs for software, excursions, etc. into account.

Information about study costs


How can I apply?

If you meet the admission requirements, you can apply for this study programme. This is a selection programme, meaning that only 100 students are admitted each academic year.

More information about applying

The right choice?

Do you want to know if the professional bachelor's programme Applied Data Science & Artificial Intelligence is the right choice for you?

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We are not too stressed about exams!

"I was really intrigued by the fact there is a study programme about AI offered in Breda. My bestmemory so far is the moment I created a machine learning model that can differentiate betweensoldiers a nd civilians. It seemed so impossible to me, just a few months before, that I could createsuch a thing in such a limited amount of time. My favourite thing in my studies is that there arehardly any exams; we learn by doing. So we are not too stressed about exams!”

Dániel

Fourth-year student

I love to do that and it’s rewarding

I think resilience and grit are very important traits that can set students apart. Tackling problems that haven’t yet been solved requires the ability to keep on working at something even if it doesn’t work out initially . Based on my experience in the fast-moving field of AI and Data Science, I try to guide my students in this process as best as possible. I love to do that and it’s very rewarding!

Dean van Aswegen

Lecturer Applied Data Science & Artificial Intelligence

With insights into data we can create a better world

Data Science is important to understand our citizens. We use the insights it generates to make predictions and to assure that we know what we have to do in order to stay attractive in the future. We use data to make a better Breda.

Judith van Brussel 

Digitalisation Programme Manager at the municipality of Breda

What can you do after your studies?

The demand for Data & AI specialists in the job market is very high. In the Netherlands alone, there is a continuous need for thousands of Data & AI specialists, analysts, consultants and engineers. As a result, after completing the Applied Data Science & Artificial Intelligence programme, you can be almost certain of finding a job.But of course, you can also choose to further develop your knowledge and skills by pursuing additional studies.  

More information about options after your studies