Data Science and AI for Industry

Duration 7 months (Level 1)
1 year (Level 1 + Level 2)
Weekly workload 8 hrs (class) + 8 hrs (preparation and assignments)
Start date November 10th, 2023
Tuition fee €9,950 (Level 1)
€18,950 (Level 1 + Level 2)

Data Science and AI for Industry

Eager to learn to develop machine-learning and AI solutions and recognize their value in high-tech and industry? The progress in analytics and the availability of large amounts of data and computation power are changing the world rapidly. This unique course prepares you for a leading role in this new business reality.

  • Certificate program in Data Science and Artificial Intelligence for professionals, offered by the Jheronimus Academy of Data Science (JADS) and the Eindhoven AI Systems Institute (EAISI).
  • Program can be completed at level 1 (7 months) or level 2 (1 year); in level 2 an in-company project is included.
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You walk away with

  1. Training as an all-round professional AI expert and data scientist.
  2. Mastery of essential techniques in data analytics and AI, and hands-on experience applying theory in a complex and realistic data-science and AI project.
  3. Capability to manage, organize and technically contribute to an analytics team.
  4. Understanding of the opportunities and practical applications of Data Science and AI in industry, logistics, manufacturing, and high-tech.
  5. A completed data science and AI 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. You get a perspective and expert coaching on the development of your organization’s data and AI ambitions.

Special track available for managers and senior professionals interested in integrating analytics and AI into their work, and being the bridge with business and engineering.

Do you fit the profile?

  • Professionals in industry eager to learn to develop machine-learning and AI solutions and implement them in industry applications.
  • 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 AI Expert (Level 1, 7-month program).
  • Certified Lead AI Expert (Level 2, 1-year program).
  • Certificates issued by JADS and EAISI 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 and AI: 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 project execution methodology as embodied in the CRISP-DM model.

    Level 1:

    • Core program in data analytics, machine learning, data engineering and data entrepreneurship.
    • Specialization: Data Science and AI in industry, logistics, manufacturing and high-tech.
    • Complex and challenging group project, where you and your team develop a realistic data-science and AI solution.

     Level 2:

    • Advanced-level program, including data leadership & entrepreneurship, process mining, anomaly detection, practical deep learning, text mining and NLP, and other advanced applications.
    • Electives, including advanced data architectures, data science and cognitive science, advanced machine learning, and business analytics.
    • Boot camp: This two-day experience revolves around different teams and one AI 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 and AI ambitions.
    • In-company project supported by JADS and EAISI experts.
Detailed curriculum

Teaching & Learning methods

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

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

Things you will like

  • The JADS and EAISI Community: Upon entering the program as from level 1, you will be part of the JADS and EAISI Community of companies, students, startups, professionals, NGOs and academic staff, who all have a passion for Data Science and AI. We organize network events, inspirational talks and many other activities. It’s also a market for finding business partners and expert help for data and AI challenges. 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’s 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. EAISI is moving to a new building in the heart of the TU/e campus that will be the vibrant focal point of all of TU/e’s Data Science and AI education and research. This will be the home of students, staff, researchers, practitioners, start-ups, scale-ups, established growing companies, and industry giants who all share a passion for Data Science and AI.

What we believe in…

Data-science and AI experts 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-science and AI experts master the technical skills of machine learning and data engineering, and know how to build, evaluate, and deploy data-science and AI applications. They can translate a business opportunity into a data-science and AI problem, apply the data-analytic workflow to develop a model, and test and implement it in a Python environment.

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

Data science and AI are changing what organizations do

Data-science and AI applications in professional organizations range from initiatives to make current processes and services more efficient. Common applications are in smart maintenance, product design, production planning, logistics planning, 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 and AI are creating important opportunities to augment products with new value based on analytics-driven services, and in the long run are the basis for new, data-driven business models.

Any questions? Get in touch with our Professional Education team!

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