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Why study Data Science in Business and Entrepreneurship?
In this two-year joint Master's programme by TU/e and Tilburg University, you combine cutting-edge data science with real business impact. You’ll work on real-life challenges from start-ups and corporates, gaining hands-on experience in a vibrant, entrepreneurial setting at the Jheronimus Academy of Data Science (JADS) in 's-Hertogenbosch. This programme is designed to turn you into an engineer who can responsibly and effectively turn data into value. As an engineer in this field, you'll learn to connect data to meaning, AI to impact, and research to innovation.
Three unique strengths
The Master's in Data Science in Business and Entrepreneurship stands out for its unique approach:
- Real-world Experience: You will work on real-life data challenges provided by external organisations, gaining hands-on experience by applying data science to solve actual business problems. This provides a valuable "from beginning to end" experience.
- Interdisciplinary Focus: The programme combines knowledge from two different universities, allowing you to develop a unique combination of technical data science skills with business, legal, and ethical perspectives. This ensures you can address the human side of things.
- Entrepreneurial Environment: Located at JADS, the programme fosters a close-knit community and offers the opportunity to start your own business or startup. You'll solve real problems, not just fake or already-solved ones.
Connection with semiconductors industry
While the programme's focus is on business and entrepreneurship, the skills you develop are highly applicable to the semiconductor industry. This sector is driven by vast amounts of data, from manufacturing process optimisation to supply chain management and customer analytics. A data scientist with a business and entrepreneurial mindset is perfectly positioned to identify opportunities for innovation within this data-rich environment. You could apply your expertise in data engineering and deep learning to improve manufacturing efficiency or use Explainable AI to diagnose issues in complex chip production lines. The focus on turning data into business value is directly relevant to the high-tech, data-intensive world of semiconductors in the Brainport region.
Programme structure
You’ll dive into core disciplines like Data Engineering, Deep Learning, Natural Language Processing, Explainable AI, and Data-Driven Business Development. All of these are supported by business, legal, and ethical perspectives. The curriculum includes several courses where you engage with external companies, working on data challenges as part of your assignments and projects. This provides a co-working experience where you learn not only technical skills but also soft skills like communication and teamwork.
Career perspectives
Whether you want to become a data scientist, entrepreneur, or consultant, this programme prepares you to turn data into value - responsibly and effectively. The hands-on experience with real-life business challenges, combined with a strong technical foundation and ethical awareness, makes you a highly sought-after professional. You will be well-equipped to innovate and solve complex problems in various industries, including the high-tech and semiconductor sectors in and around the Brainport region.
