Designed with flexibility, to fit around your life. Access high-quality education and connect with top academic faculty regardless of location.
Switch careers, or accelerate career progression by gaining expertise in marketing, advanced data analytics and AI.
Learn from the renowned Erasmus School of Economics, a world leader in quantitative marketing, econometrics and data analytics.
Learn in-demand data science tools and methods like R programming, visualisation, and machine learning for marketing decision-making.
In today’s digital world, every click tells a story and marketers who can decode it lead the way. This fully online, part-time master equips professionals to turn data into strategy and insights into impact.
You’ll learn the skills used by companies like Amazon, Netflix, and Unilever to personalise experiences, predict behavior, and drive growth. With cutting-edge courses in AI, consumer analytics, and digital strategy, you’ll be ready to lead at the intersection of marketing and data. Your next chapter starts here.
Watch the video below to learn more about the Master Marketing and Data Intelligence and meet the faculty.
This digital brochure includes detailed information about:
All our online learning materials are accessed through the virtual learning environment (VLE), Canvas, the world's number one teaching and learning software. Canvas is accessible via desktop, laptop and mobile devices.
Participate in real time and easily connect with peers and faculty. The live sessions include lectures, panel discussions, and Q&A's.
Receive group and personal sessions with professors and study advisors; for example, feedback, reflection time to understand important aspects of the course, and exercises to prepare for the course assessment.
We regularly hosts webinars on AI and data intelligence, diving into insightful topics and with very special guests!
You can watch the full recordings on YouTube.
The Online MSc Marketing and Data Intelligence is for professionals with at least three years of work experience, preferably (but not necessary) in a job that builds on data-driven insights to support the organisation’s marketing decisions.
The master is ideal for professionals who are passionate and curious about emerging technologies, and want to learn how to confidently use in-demand data science tools and methods like R programming, visualisation, and machine learning for marketing decision-making.
The master is also for individuals who are looking to change careers, or accelerate career progression by gaining expertise in marketing, advanced data analytics and AI.
Applications for the February 2026 intake are now open and will close on 18, December 2025.
As a learner, you are expected to commit to around 16 hours of studying a week during the lecture periods.
The adoption of artificial intelligence and the growing use of data is positively affecting the job market in several ways, most notably by creating a strong new demand for skilled professionals working at the intersection of marketing and data science. This trend is evident across various sectors and is reshaping workforce dynamics.
Graduates can potentially enter roles such as:
Yes, we offer different ways to finance your master, such as payment plans.
There is also a wide range of scholarships and incentives now available for applicants (which can range from €500-€2000 off your tuition fees).
Please click here to read more about financing your online master.
When applying for the Online MSc Marketing and Data Intelligence, if you are a non-native English speaker, you will be asked to submit an English language proficiency certificate.
For more details on the accepted tests, minimum subscore and minimum total score, please click here.
During the Online MSc Marketing and Data Intelligence learners do not have to write a thesis.
Instead, throughout the master programme, learners work towards mastering a set out Intended Learning Outcomes (ILOs). As they progress, they build an ILO scoreboard that shows their achievements for each ILO at the programme level. To graduate, learners must meet all the ILOs.
As ILOs represent the final learning goals, more weight is given to results from modules in the second year of the programme.
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