Energy Community

Duration 7 Months
Weekly workload 8 hours (class) + 8 hours (preparation)
Start date 21th of May 2021
Tuition fee 9,950 VAT exempt

Data Science for Energy professionals

Are you working in energy, resource, utility, ICT, consulting? Consider the Data Science for Professionals program at JADS for a boost or switch in your career. The program includes specific lectures and challenges for people working in the Energy sector.

Impact with Data Science in your community?

Especially in the Energy Sector, where situations and processes are changing in a fast way due to the energy transision, it’s important to benefit from data to learn about the latest insights and apply these insights in your decision making. Successful examples are a.o.: failure probability modeling, outage detection and prediction, preventive equipment maintenance, demand response management, dynamic energy management, customer journey analysis, churn analysis, improving operational efficiency

What does JADS offer in the Energy community

Next to the regular curriculum, in which data analytics, data engineering and data entrepreneurship are being covered, several specifics for Energy are included such as:

During the Execute part:

  • A team challenge (5 weeks, part time) to solve a data challenge in the Energy community, guided by an experienced practitioner.
  • You will be able to take part in specific lectures suchs as Data Driven Business Concepts, Smart and Predictive Maintenance, Text Mining and NLP, Data Driven Service Integration.

During the Lead part:

  • You will be challenged to select your own Graduation Project, in your company or industry/community, and work together in a buddy team, with people with the same interest.
  • You will be coached by a practitioner from your own industry/community.

What type of Energy projects can you think of?

During the last 2 years, more than 10 Energy professionals took part in one of the certified Professional Education programs at JADS (20+ weeks). Graduation project topics included themes like:

  • What drives churn for Energy customers (customer journey experience)?
  • What are the most important features to predict energy usage? E.g. ownership of smart meters, solar panels, size of house etc?

What our particpants say

“In my world I often hear that the world is changing, but am I changing? Do I allow myself to get to know new people and find new insights for myself? That was actually what my drive was to study Data Science in Den Bosch. My world... Read more
Background Pattern

Teaching in Covid times …

We’ve created a welcoming and warm online teaching environment, which we use as long as the covid situation prevents classroom teaching. Instructors and teaching technologies are adjusted to online teaching. We miss the friendly and inspirational atmosphere of our historic campus, but the teaching effectiveness of online course matches that of classroom teaching!

JADS MKB Datalab

Other Communities

We offer communities for  different sectors:


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