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. This unique course prepares you for a leading role in this new business reality.
Special track available for managers and senior professionals interested in integrating analytics and AI into their work, and being the bridge with business and engineering.
Teaching does not start from theory and technology, but from challenging assignments. Real challenges make learning motivating, help to get your organization involved, and are a catalyst to achieving real impact. During the program, you complete three CRISP-DM data-science and AI projects:
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-science and AI experts master the technical skills of machine learning and data engineering, and know how to build, evaluate, and deploy data-science and AI applications. They can translate a business opportunity into a data-science and AI problem, apply the data-analytic workflow to develop a model, and test and implement it in a Python environment.
Data-science and AI experts are also business savvy, understand how business models and strategies work, are able to manage data-science and AI projects delivering results, and in general, know what it takes to get things done in large and complex organizations.
Data-science and AI applications in professional organizations range from initiatives to make current processes and services more efficient. Common applications are in smart maintenance, product design, production planning, logistics planning, product and reliability improvement, anomaly detection and early warning systems. But organizations should also think beyond the horizon of current products and services, as data science and AI are creating important opportunities to augment products with new value based on analytics-driven services, and in the long run are the basis for new, data-driven business models.
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!
Unlock the power of Data Science and AI for your organisation with a Data Science and AI for Industry program at JADS.
What opportunities does it create, and how to seize them?