Data Science for Experts

Duration 7 months (Level 1)
1 year (Level 2)
Weekly workload 8 hrs (class) + 8 hrs (preparation and assignments)
Start date November 11, 2022
Tuition fee €9,950 (Level 1)
€18,950 (Level 2)

Data Science for Experts

Eager to learn to develop machine-learning solutions, and also interested to learn the business implications of data science? Big Data and analytics are changing the world rapidly. This unique course prepares you for a leading role in this new business reality.

  • Certificate program in data science for professionals, based on the dual perspectives of Eindhoven University of Technology and Tilburg University.
  • Program can be completed at level 1 (7 months) or level 2 (1 year); in level 2 an in-company project is included.
  • Introduction into the JADS Data-Science Community: a network for life-long learning for data-science professionals.
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You walk away with

  1. All-round professional data-science expertise, both technical and concerning business impact.
  2. Mastery of in-depth technical skills in machine learning, data engineering and analytics, both theoretical and hands-on experience doing your own data project.
  3. Capability to organize and technically contribute to a data-science team, and an understanding of the managerial challenges you face during a data-science project.
  4. Understanding of the opportunities and practical applications of data science in your sector (Professional Services, Industry, Health, Supply-chain, Energy, Government & Public Sector)
  5. A completed data science project in your own organization with cost saving or efficiency value for your company; learnings not only applicable to the participant but to the whole data team. A perspective and expert coaching on the development of your organization’s data ambitions.
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Do you fit the profile?

  • Completed Bachelor’s and/or Master’s degree and several years of work experience.
  • Affinity with analytics and IT, and the ambition to learn programming skills. Typical STEM background (science, technology, engineering, mathematics).
  • Ambition to grow in senior professional position, combining technical expertise with boundary-crossing skills in leadership, entrepreneurship, complex problem solving and critical thinking.


  • Certified Data Scientist (Level 1, 7-month program).
  • Certified Lead Data Scientist (Level 2, 1-year program).
  • Certificates issued by JADS on the basis of the quality of the group assignment (Level 1) or individual assignment (Level 2)

What you will do

  • Foundation:
    • Orientation in data science: Big Data, new analytics and new business opportunities.
    • Machine learning: theory of supervised and unsupervised learning, and their practical applications in a Python-based analytics environment.
    • Data-analytic workflow as embodied in the CRISP-DM model.
  • Level 1:
    • Core program in data analytics, data engineering and data entrepreneurship.
    • Sector-specific program: opportunities and typical applications of data science in your sector (health, services, public sector, industry, supply chain).
    • Complex and challenging group project, where you and your team develop a realistic data-science solution.
  • Level 2:
    • Advanced-level program, including privacy law & data security, data leadership & entrepreneurship, process mining, anomaly detection, practical deep learning and other advanced applications.
    • Electives, including advanced data architectures, data science and cognitive science, advanced machine learning & AI, and business analytics.
    • Boot camp: This two-day experience revolves around different teams and one data challenge to be solved, following the format of a hackathon.
    • Professional skills: Lectures and individual coaching in taking a leading role in the development of your organization’s data ambitions.
    • In-company project supported by JADS experts.
Detailed curriculum Foundation Program

Teaching & Learning methods

Teaching does not start from theory and technology, but from challenging assignments. Real challenges make learning motivating, helps to get your organization involved, and is a catalyst to achieving real impact. During the program, you complete three CRISP-DM data-science projects:

  • A stylized team assignment in the Foundation program.
  • A complex and realistic group assignment, supported by technical experts and the Communities’ Academic Directors in the Level 1 program.
  • A substantial project in your own organization, supervised and supported by JADS experts, and delivering real impact and creating value for the organization (Level 2 program).
JADS Marienburg campus

Things you will like

  • The JADS Community: Upon entering the program as from level 1, you will be part of the JADS Community of companies, students, startups, professionals, NGOs and academic staff, who all have a passion for data science. We organize network events, inspirational talks and many other activities. It’s also a market for finding business partners and expert help for a data challenge. The Community embodies our belief in the importance of life-long learning.
  • The Mariënburg, a former convent in the historical center of Den Bosch, is JADS’ home. It’s a welcoming, inspirational and atmospheric environment for life-long learning, with the former chapel functioning as the main auditorium, and the vast complex offering many surprising authentic details reminiscent of its former function.
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What we believe in…

Data scientists are T-shaped professionals!

The T shape visualizes the idea that a successful career is based on the combination of deep technical expertise (the vertical bar) and wide and broad boundary-crossing skills (the horizontal bar).

Data scientists master the technical skills of data engineering, and know how to use data-warehouses, build a data pipeline and access Big Data cloud solutions. They have the analytical skills of machine learning, and can translate a business opportunity into a data-science problem, apply the data-analytic workflow to develop a model, and test and implement it in a Python environment.

Data scientists are also business savvy, understand how business models and strategies work, are able to manage data-science projects delivering results, and in general, know what it takes to get things done in large and complex organizations.

Data science is changing what organizations do

Data-science applications in professional organizations range from initiatives to make current processes and services more efficient common applications are in smart maintenance, production planning, marketing, product and reliability improvement, anomaly detection and early warning systems. But organizations should also think beyond the horizon of current products and services, as data science is creating important opportunities to augment products with new value based on analytics-driven services, and in the long run is the basis for new, data-driven business models.



Teaching in Covid times …

We’ve created a welcoming and warm online teaching environment, which we use as long as the covid situation prevents classroom teaching. Instructors and teaching technologies are adjusted to online teaching. We miss the friendly and inspirational atmosphere of our historic campus, but the teaching effectiveness of online course matches that of classroom teaching!

Any questions? Get in touch

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