Level 2 - Data Science for Experts

Duration 12 Months
Weekly workload 8 hrs (class) + 8 hrs (preparation and assignments)
Start date November 10th, 2023
Tuition fee €18,950 VAT exempt

About the program

The Level 2 program revolves around learning to lead a data‐science initiative and achieve real impact. This 12-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.

  • Certificate program in data science for professionals, based on the dual perspectives of Eindhoven University of Technology and Tilburg University.
  • Introduction into the JADS Data-Science Community: a network for life-long learning for data-science professionals.
  • An in-company project supported by JADS experts is included in the level 2 program.
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What you'll learn

Skills

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

Implement

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

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Practical information

  • 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, 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. More info via the specialization page for Health Professionals.
  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.
    2. More info via the specialization page for Government and Public professionals.
  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?
    2. More info via the specialization page for Professional Services.
  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.
    2. More info via the specialization page for AI & Industry leaders.

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.

Your curriculum:

  • 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 JADS professors and experts.

We believe in Data Scientists being 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.

 

 

Talk to our teachers and discover your optimal development path.

Relevant courses

Foundation

Foundation - Data Science for Experts

Level 1

Level 1 - Data science for Experts

professionals

Take the leap and start your Data Science journey.

Learn to see which data is available and how to use it, but also learn to share the acquired knowledge within your own organization. Take the next step in your personal development.

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