The RSM MSc in Business Information Management programme is one academic year’s duration. Core courses are compulsory and will be offered during the autumn semester (22 EC). Master electives (18 EC) are offered during the spring semester, of which one elective can be chosen from another MSc programme. It is also possible to replace one elective with an internship or business project. During the year, students work on a master thesis project (20 EC).
Please note that certain electives may be very popular. Although we can place most students in the elective(s) of their choice, there are no guaranteed places.
View all core courses below:
Information technology (IT) is revolutionizing the way people and firms transact business. This process is only being accelerated with the development of social media and the availability of big data, which has enormous impact on our activities and the way organizations work and compete. This rapid movement towards the new information economy is being led by both established firms such as Wal-Mart, General Electric, and new entrepreneurial firms such as Google, Amazon, Facebook, YouTube, and Dropbox. As a master student of business information management, you need a thorough understanding of the latest technology trends, how firms embrace disruptive technologies, and what new business models emerge that allows firms to compete and lead in the information economy. This course will devote to the study of the strategic use of information, and provide you with the understanding of the role of information, the closely related role of information technology, major developments of e-commerce, and their implications on economics, marketing, and operational issues. This course will focus on problems unique to information-intensive businesses that you will soon encounter as a consultant, analyst, technologist, or entrepreneur.
The course is a combination of lectures and a high degree of case analysis and discussions. In the class, you will work with real world examples ranging across different industries. The course will cover six themes: information strategy, business model and digital transformation, business-to-consumer e-commerce, electronic markets and auctions, information goods, and platform mediated networks.
Taught by Prof. T. Li.
This course and the accompanying reading materials aim to provide you with the knowledge and skills required for building information systems that drive business success. You will learn about the process of building modern information systems and about the requirements engineering, analysis, and design activities of software engineering. You will learn to identify stakeholders and requirements, to define the structure of an information system, to evaluate competing solutions for a business problem, and you will start to “speak business and IT”. You will gain insight into how important these activities are in creating information systems that are truly aligned with business needs. Throughout the course, you will also learn about selected topics in IT strategy and IT software project management. In your team project, you will develop the idea, the business justification, and the requirements for a novel business application.
Taught by Dr Y. Ghiassi-Farrokhfal.
In Business Architecture & Transformation we aim to explain the role of digital and leadership capabilities within organizations and how to assess these capabilities. We will present you with the concept of operating models and demonstrate on real life examples which operating model fits which kind of company. We will explain the difference between digital operations and digital strategy. Further, we will look into how investments in IT can be assessed. We will point out the importance of IT governance to achieve strategic alignment between IT and business. Finally, we will talk about what really makes a true management leader in IT.
While you have looked into how to strategically use information and how to design business applications in the first block of your core courses we try to give you a perspective on how you can manage IT projects on a higher level. We look into the business and management perspective of transformation processes and how strategic decisions on a CIO-level should be made.
This course is a combination of lectures, guest lecturers, in class case analysis, and discussions.
Specific course guidelines will be made available via Canvas prior to the beginning of the course and need to be read and understood by each participant. Further, the textbook for the course needs to be purchased prior to the start of the course.
Taught by dr. MSG Quinn
The exponential growth in data generation and storage creates new business opportunities but also leads to major technical and managerial challenges. New tools, methods, and organizational changes are necessary to take advantage of these growing amounts data, popularly known as Big Data. Major determinants for the surge of Big Data include the amount of information generated on the internet, the evolving strategy of firms to collect data from sources both internal and external along the entire product and process lifecycle, the growth of social media, mobile applications, and the increasing availability of sensor based technologies.
This course will introduce students to what characterizes "Big Data" (e.g., volume, variety, velocity, and veracity) and to their main challenges. The course will cover the fundamentals of Data Science, including data preparation, modeling, evaluation, and deployment. Specifically, students will learn how to identify data problems and opportunities, and how to structure, design and deploy data-driven solutions that provide value to the business sector. Students will have hands-on experience solving practical cases using Big Data tools and technologies available in the market.
Taught by Dr R. Crisostomo Pereira Belo.
In today’s economy, data-driven decision making in firms increasingly replaces decision based on gut feelings. As data is becoming increasingly available for firms from sources both internal and external, the need to understand methods to process and analyze data grows steadily.
Therefore, this course will equip students with the necessary tools to extract knowledge from data to succeed in their master theses and ultimately conduct their own research. To this end, students will be introduced to the fundamentals of selected empirical research methods (case studies and econometrics) and selected types of data provenance (observational, experimental, and survey data). Understanding these methods and data types will be essential for the students’ success in their master theses and, not only but especially, when considering pursuing an academic career after their master’s degree in form of a PhD. Students will have hands-on experience with data to acquire expertise in solving practical data-related issues. These skills are not only crucial to the success in this course but are valuable assets in other courses covering data analytics in their master’s programme as well as in their professional lives, of course.
Taught by D. Gutt.
All courses of this track are listed below:
Many of the most successful companies of the digital age such as Google, Facebook, Apple, Microsoft or Amazon can be characterized as platforms. A platform connects distinct user groups, thereby creating value by enabling interactions between these groups. They are governed by market forces such as network effects that are distinct from traditional markets and therefore have attracted the attention of scholars in strategy and economics, but also policy makers and business gurus.
The goal of this course is to introduce students to current research on platforms from the fields of strategy and economics and apply it to management and public policy related questions on platform markets.
Taught by Dr D. Zegners.
The advent of digital technologies, such as social media, online platforms, IoT and AI, has created new opportunities for individuals, organizations and businesses to address and solve social issues that are relevant in our society. How can social media, NFTs and blockchain help no-profits raising awareness of cancer? How can online platforms be used by firms to foster better working conditions or by educational institutions to improve education? What if AI and machine learning algorithms can make a difference in sustainable development, or even support governments in protecting human rights in such turbulent times?
In this course, we focus on how digital technologies can be used to address social problems and promote social change in various domains. We will
- learn how to identify social problems that are relevant in our society;
- discuss and evaluate how digital technologies can be used to address such problems and promote social change - and when, instead, digital technologies might constrain change;
- gain practical insights from organizations and businesses making effective use digital technologies for social change - this will also help us understand how we, as citizens, can also play a part in this change;
- develop digital strategies and solutions to relevant social problems in an effective, ethical and responsible way.
Taught by Dr A. Priante.
Many choices are made in digital environments, however, not only the sheer number of choices but also their presentation may influence our decisions and distort us, because we have only limited cognitive capacities to cope with lots of choices. In this course, we will focus on digital decisions, made in digital environments such as websites or apps, with emphasis on how these decisions deviate from rational and/or ethical standards. Understanding how digital environments influence our choices can help to improve our decision-making.
This course is taught by Dr M. Weinmann.
Firms need to innovate to stay competitive. Kodak and Nokia are amongst the many examples of companies that paid the price for not keeping up with the market. However, innovation is difficult and while successful innovations promise large returns, many projects fail. This has never been more accurate than in the Digital Age, as fast-paced and complex technologies now permeate businesses and products.
Taught by Dr P. Cornelius.
Foundational information technologies, in particular, Artificial Intelligence (AI) algorithms, Internet-of-Things (IoT) systems, and Blockchain infrastructure, will create new foundations for business and its interaction among businesses, governments, customers, and the earth. These technologies will create opportunities for circular business models, i.e., to do business within the ecological and planetary boundaries of the earth. Instead of the ‘take, make, and dispose’ attitude of the traditional and linear business, circular business will create value with the design of ‘recycle, refurbish, reuse, and maintain’ processes. Both the circular and digital transformation will influence customer relationships, redefine products and services, change the operations and value chain processes, enable new ways of collaboration in business ecosystems, and will shift the information frontier further, with fresh, fast, and more reliable information relevant for circular business models. Next generation business models will need to develop both the circular and digital capabilities in a holistic configuration of people, processes, and technologies.
Taught by Prof. E. van Heck.
There is a growing need for advanced information processes, which simultaneously address individual and societal requirements. For example, by integrating sources of personal information within personalized health services to provide targeted self-care guidance, and improve healthcare system efficiency. This is needed because complex, and rapidly growing, societal problems such as obesity, diabetes, infectious disease transmission, and harmful drug use cannot be solved by broad institutional measures alone. Broad population-level policies are slow to adapt, are disproportionate, and do not lead to lasting change.
This course seeks new ways to address complex behavioral problems by putting human needs at the center of information process development. Students will learn about digital technologies which may be used to ingest personal information and facilitate targeted behavioral interventions ant individual and societal levels. For example, technologies such as wearable biometric devices, environmental sensors, different forms of social media, machine learning / artificial intelligence, natural language processing, digital diagnostics, genomics, computer vision, drones, edge computing, digital twins, mobility pattern analysis, process analysis, process automation, and targeted messaging systems may all be combined to collect various forms of individual information, calculate personal risk exposures, and deliver targeted behavioral interventions.
Students will design human-centered processes by applying behavior change and social ecological theories together with business process modeling techniques. Within an iterative process, students will actively participate in class discussions, present their work, and receive feedback for improvement. Throughout the course, we will review relevant academic, and industrial, projects as inspirational case studies. Class participation is mandatory.
Taught by Dr J. Sweeney.
The advances in information technologies in the past decade have led to unprecedented digitalization. These technologies have also made it easier for digital businesses to collect, store, and use the personal data of consumers. The high value associated with personal data also creates incentives for adversaries to attack management information systems. Therefore, in the surveillance economy that we live in, invasion of privacy and cyberthreats are arguably some of the critical issues faced by digital businesses.
This course draws on several case studies and is designed to introduce fundamental concepts related to data privacy and cybersecurity. Students will be exposed to privacy and security issues associated with new technologies in social media, cloud computing, smart cities and the Internet of things, and artificial intelligence
Taught by dr. Sameer Mehta
All courses of this track are listed below:
This course aims to strengthen your abilities as future managers with one of the most important yet mostly missing skills for managers: the art of programming. Managers with programming experience are able to be involved in the decision-making process of their developers. They can also --at high level-- understand whether or not each developer is performing well. In this course, we will focus on one of the most widely used programming languages: Java. This course also lays the foundation for learning other important programming languages. You should not expect to be developers in few weeks. You should rather treat this course as an intense programming tutorial for absolute beginners. It is assumed that the registered students have no previous knowledge of programming. After taking this course, you will learn how to excel in Java even further or to start learning a new programming language from scratch. Java is greatly structured to be an easy-to-learn, yet a powerful programming language..
Taught by Dr. Y Ghiassi-Farrokhfal.
Social Networks shape many aspects of how people and organizations interact, take decisions, and ultimately perform. With the advent of Social Media (e.g., Facebook and Twitter) and with the increasing digitization of all forms of communication and business processes, Network Analytics has become a valued asset to better understand how different agents interact and how to best take advantage of the network structure to increase overall system performance. This course will cover the fundamentals of network science, the methods, theories, and the procedures for data collection and analysis in very large social networks. Covered topics include clustering, information diffusion, organizational design, viral marketing, social media and others.
This course provides the basics of network data analytics, including fundamental network- and node-level metrics, as well as more advanced analysis methods, with attention to the application areas where these can and have been used. Students will engage in in-class projects in which they collect and analyze network data using the tools and methods covered in class. Students will apply these methods to specific networks, such as social media networks (e.g., Twitter), co-worker networks, organization networks, and product networks.
Taught by dr. Yequi Zheng
Business analytics and data science are becoming key drivers of competitive advantage. Only firms that can harness their data and develop strong analytic capabilities across all their business functions will be able to survive in fast-moving modern markets. In this course, students will take a first step in this direction, as they learn how to use Python to manage and analyse large data sets.
Coding is a key component of this course. Students need to be comfortable writing code by themselves. To be able to follow this course, students need to have sufficient prior coding experience (at least at the level of BIM Research Methods I).
This course is taught by Dr. P.B. Cornelius.
With the explosion of Big Data from social media and technologies, such as RFID, GPS, and sensor-data, organizations are increasingly confronted with the need to develop analytics capabilities to take advantage of their data. This gives many great opportunities to work on the cutting edge of science and business.
In order to design a practical Business Analytics application, we will explain throughout the course how to use the programming language and software environment R to collect, analyze, and visualize relevant data, be they publicly available data (social media or otherwise) or internal data from a company.
Taught by Dr. D. Zegners.
Deep Learning represents one of the most exciting advances in machine learning with many groundbreaking applications being developed in recent years from areas such as image recognition and speech analysis to machine translation and game-play. Underlying these advances are various types deep neural networks and although these can be very technical, in this course we will try to de-mystify them a little bit, so you will be better able to assess the possibilities and limitation in business practice. We will cover three main topics:
- Neural Networks
- Recurrent Neural Networks (used particularly in text analysis and time series analysis)
- Convolutional Neural Network (used particularly in image processing)
The main focus of this course is practical and emphasizes learning-by-doing: you will be doing a lot of coding in R and in the main project go through the whole CRISP-DM cycle from the real, practical problem to the final model results and proposed deployment. We put you in the role of the ‘analytics translator’: sufficiently grounded in both the technical aspects and the organizational aspects to be able to function as a bridge between the pure specialists in these areas, so that you will understand the technical, organizational and ethical aspects of deep learning applications.
Data is a crucial resource and at the core of many companies’ business models. Hence, collecting, analyzing, and understanding data is one of the key competencies for future professionals in business. This course will consist of seminar sessions that familiarize students with the basic ways of collecting, organizing, and analyzing data to succeed in a data-driven society, be it in academia or in business. This course will mainly use online reviews as an example for these exercises.
Taught by Dr. D. Gutt.
The BIM Company-Based Research Project (CRP) allows students to replace one free elective course in the program with a full-time thesis / research internship for one of the elective blocks (minimum of 168 hours). During the remaining two elective blocks, the student is recommended to continue working part-time and follow the remaining electives.
The BIM CRP should seek to combine the writing of the thesis with an internship at a company during one of the elective blocks (Blocks, 3, 4, or 5). It is therefore important that the internship is related to the thesis and students will need to decide on an internship in consultation with their thesis coach and the master thesis coordinator. Students must be able to show that the internship will allow them to collect company-specific data (for that specific company), and that it is essential for their thesis project.
The CRP will be assessed separately from the thesis (on a pass/fail basis) by the thesis coach, company supervisor and master thesis coordinator.
If a student opts for the CRP, it will count as a free elective for 6 EC. This will give them the opportunity to work exclusively within the company for a period of 7 weeks. Thesis internships may be agreed for a longer period of time, but a minimum of 168 hours is expected and a maximum of 6 ECTS is credited. During the remaining two elective blocks, the student is recommended to work part-time and follow the remaining electives.
Taught by Dr D. Tsekouras.
The BIM Honours Programme offers the most talented and motivated students in the MSc BIM program a challenging extracurricular course in BIM research and practice. Participation is by invitation only. A limited group of 25-30 students will be selected to follow an additional course that runs across the 3rd, 4th, and 5th block of their studies. Selected students are the best performing students of the MSc in BIM programme. The small group size ensures that students have many opportunities for interaction with faculty members and participating companies.
The programme features involvement from multiple companies. The sessions will be highly interactive and require a strong preparation. Cooperation is sought with external partners, who introduce a series of challenges that students need to complete (e.g. consultancy project, data analytics challenge, business process training).
Participation will be limited to the best students in the MSc programme of Business Information Management. The first step in the selection process will be a ranking based on all core courses (Blocks 1 and 2, weighted by ECTS). In the second step in the selection process, the highest ranking students will be asked to submit a motivation letter.
Taught by Dr. D. Tsekouras.
The writing of your master thesis – the report of your scientific study – is the most important part of the Business Information Management programme. During the year you will participate in a structured master thesis trajectory.
One of the reasons companies hire university graduates, is because of their academic posture. This includes a critical attitude towards what is presented as “the truth”, the ability to assess the quality of research presented to them, and the competence to study a phenomenon in a structured way. These same qualities are required of you as you design and execute your Master thesis project. This course will focus on the basics of conducting sound scientific research and writing a good master thesis.
Taught by Dr D. Tsekouras.
During the year you will participate in a structured master thesis trajectory. You will start in September, during the core courses, to familiarize yourself with the research being done at our department and the relevant academic literature and topics available. Staff involved in this MSc will present their current research projects, and you will be invited to link your master thesis to one of these projects. Before Christmas you will decide on a final topic and be assigned a coach who is an expert in the subject area chosen. Early January a thesis clinic will provide you with the foundation that you will need to complete your thesis successfully. In February you will deliver your research proposal after which you will implement your research question and finalize your thesis before the summer. Staff and researchers will provide assistance by coaching you through the entire master thesis process.
The following themes are examples of possible BIM Master Thesis topics:
- The Impact of IT on Business
- Online Human Behavior
- Big Data and Analytics
- Social Media and Digital Commerce
- Green IT and Energy Business
Note regarding taking courses if you are not an RSM master student: RSM does not offer the possibility for non-RSM students (master or otherwise) to take RSM MSc courses outside of official exchange partnerships or other inter-faculty agreements. If you are interested in learning more about corporate social responsibility, sustainability, or business ethics, please refer to our Open Programmes section.
For more information on all international opportunities offered at RSM, visit the website of our International Office.
Your Future Career
The aim of ‘Your Future Career’ is to prepare RSM students at an early stage in their master's for their careers.
The online modules will help you make crucial steps towards the most suitable career step, whether an internship or a job.
To pass the course, you need to gain a minimum number of points within a few months. You can decide if you want to reflect on your interests and motivations, develop knowledge of the job market, receive peer feedback on application materials, learn to love networking, or attend an interactive alumni career panel or workshop.
See this page for more details.
There is an increasing demand from companies for graduates with a deep knowledge and understanding of the strategic value of information: the career prospects for business information management students today are excellent.
The following job descriptions are frequently applied to our graduates working for large or multinational companies or consultancy firms:
- Information Managers who analyse and implement information solutions for companies;
- Business Consultants who advise managers to develop business applications to create value;
- Business Analysts who analyse and implement new ways of doing business;
- IT Consultants who advise managers on how to develop new IT-enabled solutions;
- Business Development Managers who develop new IT-enabled business models;
- Project Managers who initiate, direct, and manage projects in and between companies;
- Management Trainees who usually follow a two-year ‘training on the job’ programme and will continue their career in a management position.
Graduates work in the following sectors:
- Management Consultancy (33%);
- Software and Computing Services (19%);
- Technology, Multi-media, and Telecom (12%);
- Banking (9%);
- Energy, Oil and Gas Services (6%);
- Food, Drink, and Tobacco (4%);
- Other Sectors (17%).
Our top employers include:
- PriceWaterhouseCoopers (12%);
- Accenture (11%);
- LogicaCMG (11%);
- EUR (8%);
- Solvision (8%);
- Cap Gemini Invent (7%);
- Deloitte & Touch (7%);
- ABN AMRO (5%);
- IBM (5%);
- KPN (5%);
- Shell (5%);
- Akzo Nobel (4%);
- ING Bank (4%);
- KPMG (4%);
- Oracle (4%).
Non-EEA nationals who have earned a diploma from a higher education institute in the Netherlands can apply for a special residence permit called the orientation year after completing their studies. The 'Orientation Year for Graduates Seeking Employment' is a residence permit aimed at retaining foreign talent for the Dutch labour market. During this orientation year you are free to work without a work permit. Participants who find a job during this period can change their orientation year into a residence permit for Highly Skilled Migrants under more favourable terms.
For the most up-to-date information please visit the following website.
Many students find positions within multinational firms and organisations, partially thanks to relationships they have developed with representatives from the world of business – as well as peers – during the programme’s corporate and other networking events. Students applying for jobs in their home countries are equipped with knowledge and skills to take with them.
Find the Employment Factsheet for your MSc programme here.
You can read more about our graduates and their career progress from their public LinkedIn profiles.
Tip: you can see more of our graduates’ profile information if you are not signed in to your LinkedIn account. Sign out of LinkedIn, then click the links.
Paula Bertomeu Quevedo
Muhammad A Vizaddo
Sam Rosen Jacobsen
Thijmen van der Meulen
Sven Magnus Degener
Tim de Groot
Luuk Op de Weegh
Jarno van Kessel
Emiel van der Breggen
Jasperina de Vries
Brian van der Wyck
Dayenne van Winden
Joost van Lier
Roel van der Duin
Ton van Eck
Brent Bodenhorst Meyer
Sezen de Bruijn
Viktor de Keijzer
Mariska van Keulen
Cheng Bond Kwok
Jeroen van Peer
Laurens van Wesep
Pieter van Dieren
Erik Klein Geltink
Ivar van der Lugt
Niels van der Wolf
Nina van der Lee
Katelijne Van Tienhoven
Anne Merel Tolsma
Nanne van der Wal
MSc employment report
Studying at RSM
The RSM Experience
Education for life
Studying at RSM will be a life-changing experience. Your master degree will prepare you for a fulfilling professional life as a capable, self-assured individual. It will make you valuable to business and attractive to employers because it teaches you skills that make the most of your innovative mind. You will be challenged in and outside of the classroom, and you will gain an education based on the latest developments in business. Your master degree from RSM will include RSM’s promise of life-long learning, and membership of the more than 40,000-strong alumni network that is present in more than 110 countries which hosts activities and events all over the world.
Open intellectual culture
Your education at RSM is valuable. You will learn from academics who produce the highest quality research and the most innovative management thinking. In the classroom, sharing and questioning opinions is encouraged – yours and those of your fellow students, as well as the professors’. Many of RSM’s faculty members are young and passionate professors and researchers with outstanding academic credentials. Their work is published in top international management journals.
Professors’ doors are always open for students who have questions, projects or ideas. Depending on the study programme, students have different opportunities to tailor their programme. This can, for example, take the form of a minors course, an internship, an exchange at one of over 160 partner schools worldwide, elective choices, the participation in a consulting project with a company or public sector organisation, or a thesis project in their specific area of interest. RSM’s strong links with local and international businesses and organisations offer opportunities for practical projects and real-life collaborations.
What is your ‘I WILL’?
RSM’s I WILL movement allows you to define your goals, your ambition, your drive. It’s our forward-thinking community that asks you to say something about your future. Your I WILL statement becomes part of the spirit of RSM’s diverse community of students, researchers, staff, professors, alumni and others related to the school. Making a public commitment to your goal will allow you to achieve it faster and better. What is your goal?
Rotterdam, a future-oriented city
Living and studying in Rotterdam has never been better. Rotterdam is home to one of the largest and busiest ports in the world and many multinational companies have their headquarters here. The city is famous for its stunning modern architecture, such as the Centraal Station or its covered food market, the Markthal. At the same time, the city authorities are forward-thinking in improving its liveability. There’s no shortage of restaurants, museums and theatres, yet Rotterdam is still an extremely student-friendly city with plenty of affordable student housing, and a bustling nightlife that includes events organised by students associations.
Find out more about life in the city of Rotterdam.
BIM Master Study Club
Explore the campus
Life in the city
Coming from abroad
Fees & Scholarships
The combination of affordable tuition fees and living costs together with quality education and an excellent global reputation make a Masters degree at RSM a clever investment.
The 2023-2024 tuition fee for the MSc programmes is approximately €21,500 for non-EEA students. The Dutch government contributes towards this cost for students who hold a nationality from a country belonging to the European Economic Area(EEA). These students therefore only pay the statutory fee of €2,314 in 2023/2024.
For EEA nationals who have already completed a master in the Netherlands (and obtained the diploma) the tuition fee for a 2nd master is approximately €12,600.
The MSc International Management - CEMS (18 months) is a longer programme, for which the tuition fee will have to be paid for the duration of the programme. The expected tuition fee for the 18-month MSc International Management - CEMS programme is approximately €32,250 for non-EEA students and is approximately €3,471 for EEA students in 2023/2024.
Please note that all these tuition fee tariffs are subject to change.
The number of scholarships is limited and mainly merit based. If a scholarship covers only the tuition fees, be aware that you need to finance your own living expenses (rent, food and insurances) for the duration of your studies. RSM does not offer scholarships for the pre-master programme. We do however offer a maximum of 2 scholarships per academic year to RSM pre-master students enrolling in an MSc programme.
Rotterdam School of Management, Erasmus University (RSM) offers multiple scholarships to prospective students from non-EEA countries who are not entitled to pay the EEA tuition fee, provided their grades are considered ‘excellent’. RSM also offers one scholarship, the Erasmus Trustfonds Scholarship, to students from EEA countries.
Besides scholarships awarded by RSM, there are also scholarships awarded by the Dutch government or other organisations that are available if you meet certain criteria such as nationality, age, etc We have listed some of them below but we encourage you to use resources such as Grantfinder or the Scholarship Portal to find additional scholarships.
- G&D Europe Scholarship
- NN Future Matters Scholarship
- Russia: The Global Education Programme
- Contact the Ministry for Higher Education in your home country to see whether there are scholarship options.
- We have virtual information session covering all you need to know about scholarships and financial aid. Watch it here.
Master Application Handling fee
After having filled in all of the necessary application information on the Online Application Form (OLAF) and uploaded the required documents, applicants with a degree obtained outside the Netherlands will be asked to pay a non-refundable €100 handling fee. This fee can be paid online via the Erasmus Payment System which uses either iDEAL (for those with a Dutch bank account) or PayPal (which can be linked to any bank account or credit card worldwide). It is important that applicants complete the payment process as indicated, otherwise the system cannot register the payment.
Additional programme related expenses
The additional expenses in addition to tuition and general living costs (see below) vary per programme and may include:
- Study materials such as books, readers and business cases
- Costs involved in kick-off meetings
- Costs related to travel, international excursions and compulsory exchange semesters or internships abroad
For a reasonable standard of living in the Netherlands, you should have an income of between €1,000-€1,600 per month depending on your lifestyle. Further information about the costs of living in the Netherlands and related subjects can be found on this website. Below is an example of monthly expenditures:
|Furnished accommodation, including gas and electricity||€ 500-900|
|Medical insurance||€ 50|
|Food||€ 200 - 300|
|Books, recreation, clothing||€ 200 - 300|
|Public Transportation||€ 50|
|Total||€ average 1000 - 1625|
|Other potential expenses:|
|Buying or renting a bike||€ 100 - 250 (for the full 3 years)|
|In private residence (not student housing) yearly municipal and water taxes||€ 100 - 300 (per year)|
Please ensure, prior to your arrival at RSM, that you have or will have sufficient funding available to finance your stay at RSM. Finding a part-time job, may be an option, but can not be guaranteed. You should therefore not rely on finding other ways to supplement your income during your studies. For additional information on obtaining a part-time job, visit the website of the Nuffic.
For EEA students there are no formal restrictions in finding work in the Netherlands, but students with a lack of Dutch language skills will find it difficult to secure employment. Non-EEA students are subject to labour regulations, which makes the likelihood of obtaining a work permit very small. We therefore ask students not to rely on this possibility. We do not encourage students to combine studies with the heavy workload from a part-time job.
Admission & Application
Immigration & visas
Find out everything you need to know about entry visas & residence permits for non-EU or EEA students at RSM.
Release date: October 2022
Finding housing in Rotterdam can be tricky. To help you in your search for housing, we have compiled some helpful resources.