Level 1 - Data Science for Experts

• 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.