Level 2 - Data Science and AI for Experts

  • 14 Months


  • Weekly workload

    8 hrs (class) + 8 hours (preparation and assignments)

  • May 12, 2023

    Start date

  • €18,950 VAT exempt

    Tuition fee

About the program

The Level 2 program revolves around learning to lead a data‐science initiative and achieve real impact. This 14-month program is targeted at professionals who want to learn to develop machine-learning solutions, and who are also interested to learn the business implications of data science.

  • Introductory program in data science for professionals, based on the perspectives of EAISI (Eindhoven University of Technology), JADS and Tilburg University.
  • Introduction into the JADS & EAISI Data-Science & AI Community: a network for life-long learning for data-science professionals.
  • An in-company project supported by JADS & EAISI experts is included in the level 2 program.

What you'll learn


Professional skills: taking a leading role in the development of your organization’s data ambitions.


Implementing a data‐science application in your own organization and helping your organization create business value from data and analytics.

Practical Information

For whom

  • 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 Lead Data Scientist. Certificates issued by JADS & EAISI, signed by Eindhoven University of Technology and Tilburg University. 


We offer several sector specific specializations:

  1. Data Science for Health Professionals
    1. For medical professionals and managers in healthcare eager to learn how to integrate data and analytics into their work.
  2. Data Science for Government and Public Sector
    1. For business professionals and managers working in the public sector eager to learn how to integrate data and analytics into their work and be the bridge between analytics teams and business.
  3. Data Science for Professional Services
    1. Are you working in a professional service setting? And eager to learn how Big Data, machine learning and analytics can change the way services are provided by organizations?
  4. Data Science & AI for Industry
    1. 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.


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.

What you will do

Your curriculum:

  • Foundation Data Science for Experts
  • Level 1 – Data Science for experts
  • Leading data science: winning support and realizing your organization’s data ambitions
  • Data management and data governance
  • Data entrepreneurship: developing novel business models driven by data and analytics
  • Anomaly detection
  • Process mining
  • Advanced data architectures
  • Electives program: professors and experts offer a varied program of deep‐dives, from which you select two courses
  • Two‐day bootcamp where you do a hackathon with your classmates.
  • 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 EAISI & JADS professors and experts.


  • 05 Jun

    Brain-inspired computing Workshop

    New computing technologies inspired by the brain promise fundamentally different ways to process information with extreme energy efficiency…

  • 07 Jun
    ICAI Day

    ICAI DAY – Catapulting Change: Fueling Businesses with AI

    The keynote speakers will cover various aspects of AI including business applications, ethics, and innovation.

  • 08 Jun
    [Translate to English:]

    TU/e Research Day: Celebrate Science!

    An event to recognize and reward scientists, get to know each other and become familiar with the research at TU/e-campus.

  • 14 Jun
    Neuron and data
    Seminar on organic and electrochemical electronics for neuromorphic computing and sensing

    Neuromorphic computing seminar

    June 14, 2023 9:00 AM / TU/e campus | Neuron building, room 0.262

  • 15 Jun

    Information Session - Data Science & AI for Professionals

    June 15, 2023 6:30 PM / Eindhoven University of Technology

  • 16 Jun

    Inaugural lecture prof.dr. George Fletcher

    June 16, 2023 12:16 AM / Blauwe Zaal

  • 26 Jun
    30 Jun
    [Translate to English:]
    April 21, 2023
    Copenhagen, June 26th to 30th 2023

    Generative Modeling Summer School

    June 26, 2023 9:00 AM / Copenhagen, Denmark

  • 27 Jun
    htsc research meet
    Systems engineering of high-tech systems

    HTSC Research Meet

    Streamlining Information flows in Engineering

  • 04 Jul
    [Translate to English:]

    Masterclass ChatGPT

    July 4, 2023 7:00 PM / Technische Universiteit Eindhoven

  • 29 Aug
    31 Aug
    20th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology

    IEEE CIBCB 2023

    August 29, 2023 9:00 AM / Eindhoven, The Netherlands

  • 02 Nov
    ai summit brainport 2023
    Human Centered AI

    AI Summit Brainport 2023

    Ready to meet researchers, industry leaders and other AI enthusiasts in Brainport Eindhoven and enhance your AI knowledge and skills?


    Talk to our teachers and discover your optimal development path.

    Join our information session, register here!
    Date: 16 March 2023
    Time: 18:30 – 20:15
    Location: EAISI, Eindhoven University of Technology

    Do you prefer to contact us, send us an email.