Level 1 - Data Science for Experts

Duration 7 Months
Weekly workload 8 hrs (class) + 8 hrs (preparation and assignments)
Start date November 11, 2022
Tuition fee €9,950 VAT exempt

About the program

The core program in data analytics, data engineering and data entrepreneurship trains you as an all‐round data scientist. This 7-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.

  • Core program in data science for professionals, based on the dual perspectives of Eindhoven University of Technology and Tilburg University.
  • Community specialization: depending on the sector where you work, you follow a sector‐specific program aimed at helping you integrate data science in your work field.
  • Introduction into the JADS Data-Science Community: a network for life-long learning for data-science professionals.
  • Participants can continue in the Data Science for Experts program: Level 2 (1 year – part-time).
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What you'll learn

Understanding of the opportunities and practical applications of data science in your sector.

Sector-specific specialisms: Health, Government & Public Sector, AI for Industry, Professional Services.

Develop

Developing a realistic data‐science solution in a complex and challenging group project.

Become

To become a Certified Data Scientist.

Any questions? Or ready to sign up?

Contact our education advisor, Chantal Stevels

  • This field is for validation purposes and should be left unchanged.

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 Data Scientist. Certificates issued by JADS, signed by our Academic Director, Prof. Jos van Hillegersberg, and 1 of our Community Academic Directors . On the basis of the quality of the group assignment.
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 projects: how to get things done?
  • Visualization
  • Data modelling and relational database management
  • Time‐series forecasting
  • Data and privacy law
  • Decision quality
  • Introduction to deep learning
  • Text mining and natural‐language processing (NLP)
  • Community specialization: depending on the sector where you work, you follow a sector‐specific program aimed at helping you integrate data science in your work field.
    • Community‐specific courses include: data‐driven service integration, data‐driven healthcare, business analytics, production planning and data‐driven supply‐chain management, marketing analytics, smart and predictive maintenance, new business concepts driven by data and analytics, Industry 4.0 and the role of data and AI.
  • Professional skills: sharing and understanding thoughts, questions, ideas and solutions. Resulting in goal setting, presentation skills and pitching.
  • Together with a team of classmates, you develop a realistic data‐science solution in a complex and challenging group project supported by technical experts and the Communities’ Academic Directors.

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.

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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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