About the program
The core program in data analytics, data engineering and data entrepreneurship trains you to be an analytics translator. This 7-month program is targeted at professionals, Business Managers who want to learn typical applications specific to your sector, such as predictive maintenance, computational personalized healthcare, or deep learning.
- 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 Business Managers program: Level 2 (1 year – part-time).
What you'll learn
Understanding of the opportunities and practical applications of data science in your sector.
In the second half of the Level 1 program you can either choose a specialization (sector) or choose your own learning path. Together with a mentor you choose the electives that are most relevant to you. Electives like:
Health, Public, Industry, Professional Services or Mobility.
Develop
Developing a realistic data‐science solution in a complex and challenging group project.
Become
To become a Certified Analytics Translator.
Any questions? Or ready to sign up?
Contact our education advisory team!
And fill out the contact form here:
Practical information
- Completed Bachelor’s and/or Master’s degree and several years of work experience
- Business professionals and managers eager to learn how to integrate data and analytics into their work.
- Bridge between analytics teams and business (marketing, supply chain, manufacturing, strategy and management).
- Ambition to grow in senior professional position, combining technical expertise with boundary-crossing skills in leadership, entrepreneurship, complex problem solving and critical thinking.
From Level 1 and up, our programs offers a range of electives. In the second half of the Level 1 program you can either choose a specialization (sector) or choose your own learning path. Together with a mentor you choose the electives that are most relevant to you. Electives like:
- Health
- Public
- Industry
- Professional Services
- Mobility.
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 you work in, 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 fellow participants, you develop a realistic data‐science solution in a complex and challenging group project supported by technical experts and the Community 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.
Relevant courses
Foundation
Foundation - Data Science for Business Managers
Level 2
Level 2 - Data science for Business Managers
Brochure Download – Data Science for Business Managers in finance, sales, marketing and more!
And discover the possibilities of our Level 1 program.