MSc in Data Science and AI for a Competitive Manufacturing

MSc in Data Science and AI for a Competitive Manufacturing


MSc in Data Science and AI for a Competitive Manufacturing is a globally recognized double-degree programme backed by EIT and EIT Manufacturing. This unique programme integrates manufacturing science, information and communication technology, including the use and adoption of advanced digital solutions and platforms into a cohesive educational experience, complemented by a specialized track in Innovation and Entrepreneurship.


The programme is a double degree programme (providing one degree in engineering and one degree in ICT) with integrated, mandatory geopraphical mobility. This means that you will study at two European universities in two different countries that have partnered with EIT Manufacturing. Upon fulfilment of all degree requirements, students receive two degrees: one from the entry university and another one from the exit university.

Please check below for the list of entry and exit university combinations.

Important information

  • Degree: Master of Science
  • Application period: Will open early November 2024
  • Language of instruction: English
  • Duration: 2 years (full-time)
  • Credits: 120 ECTS
  • Deadline: 31 March 2025
  • Eligibility: Relevant Bachelor’s degree (Check Syllabi for details)

Good to know

  • Affiliation: EIT Label certificate
  • Double degee: One from entry & one from exit university
  • Scholarship: Merit based and Mobility grant
  • Tuition fees (EU Students): 8000€ per year
  • Tuition fees (NON EU/EFTA): 15000€ per year
  • Summer School: Innovation & Entrepreneurship track included
  • Field of study: Technology & Engineering

How to apply?!

Applications for the 2025 – 2027 cohort will open early November 2024.

We encourage non-EU students to apply early for Visa purposes.

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Send it here, we will get back to you soon!

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The EIT Label Certificate

All EIT Manufacturing Master degree programmes are Awarded by the European Institute of Innovation and Technology (EIT), the EIT Label is a certificate of quality and excellence for educational programmes that are focused on innovation, entrepreneurship, creativity and leadership. EIT-labelled degrees encourage innovative pedagogies and incorporate mandatory mobility schemes for students.

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Programme description

The curriculum of this programme is thoughtfully designed to encompass a rich blend of manufacturing science and cutting-edge information and communication technology (ICT). This fusion equips students with a holistic understanding of how technology is transforming the field of manufacturing. Here are the key components of the curriculum:

  • Manufacturing Science: Students delve into the fundamentals of manufacturing, including the physics of equipment and processes. This knowledge forms the backbone of their understanding of how things are made and how manufacturing processes function.
  • Information and Communication Technology (ICT): The programme integrates the latest trends in ICT, focusing on the application and adoption of advanced digital solutions and platforms. This aspect of the curriculum empowers students to leverage technology to enhance manufacturing processes.
  • Modeling and Simulation: Students learn to create virtual representations of manufacturing processes and systems. This is crucial for testing and optimizing production procedures without physical prototypes, leading to cost savings and efficiency improvements.
  • Virtual Prototyping: Virtual prototyping allows students to design, test, and refine product models in a digital environment, enabling faster and more cost-effective product development.
  • Service and Systems Engineering: This field emphasizes the integration and optimization of complex systems and services. Graduates are equipped to design and manage systems that are efficient, adaptable, and sustainable.
  • Machine Learning: With the incorporation of machine learning, students gain the ability to develop algorithms that enable machines and systems to learn from data and make intelligent decisions. This is particularly relevant for automating manufacturing processes and predictive maintenance.
  • Data Mining: Data mining skills enable students to extract valuable insights from large datasets, which can be applied to optimize manufacturing processes, enhance quality control, and make informed decisions.

In essence, this programme equips students with a multidisciplinary skill set that spans the spectrum of traditional manufacturing science to the latest advancements in ICT. They are not only well-versed in the principles of manufacturing but also proficient in applying technology to make production processes more efficient, sustainable, and adaptable. This broad knowledge base empowers graduates to address real-world challenges in manufacturing and contribute to the development of innovative solutions in an era of rapidly evolving technology.

Upon graduating from the MSc in Data Science and AI for a Competitive Manufacturing programme, students will be able to:

  • Possess a comprehensive understanding of theories and concepts related to information system management, digital monitoring, and digital security.
  • Apply their acquired expertise in data science and AI to innovate and enhance digital manufacturing systems and services, contributing to increased competitiveness.
  • Engage in strategic problem-solving independently and creatively, with a strong commitment to addressing manufacturing-related challenges in ways that align with sustainable social development.
  • Demonstrate a capacity for innovative thinking that transcends traditional disciplinary boundaries, offering fresh solutions to real-world problems within the realms of data science, AI, and manufacturing.
  • Develop the skills to formulate plans and make decisions with a keen awareness of their future implications from scientific, ethical, and societal perspectives.
  • Transform innovations within the field into viable and successful business solutions, fostering entrepreneurial thinking.
  • Collaborate effectively within small teams and diverse contexts, while considering all relevant factors, and exhibiting strong decision-making and leadership abilities.
MSc in Data Science (Entry - Exit Combinations)MSc in Data Science (Entry - Exit Combinations)

Entry – Exit combination

Students can select their preferred first (entry) and second (exit) year university combination from the provided list. Please choose up to 3 preferred combinations in the application portal (but do not choose the same entry or exit university in more than 2 preferred choices). Kindly check the “Programme syllabi” file for more information.

Note: The allocation of combinations are subject to various criteria and we do not guarantee the preferred choice will be provided in the programme acceptance letter.

Programme syllabi

Proramme structure

In the initial year of their programme, students are obligated to complete 40-50 ECTS credits in technical courses and an additional 10-20 ECTS credits in courses related to Innovation and Entrepreneurship, summing up to a total of 60 ECTS credits. In the subsequent year, the curriculum comprises 10-20 ECTS credits in technical courses, another 10-20 ECTS credits in Innovation and Entrepreneurship courses, and a substantial 30 ECTS credits devoted to their Master’s thesis, resulting in a total of 60 ECTS credits.

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Student Testimony

MSc in Data Science & AI - Meet Derin GurmanMSc in Data Science & AI - Meet Derin Gurman

Partner universities

The EIT Manufacturing Master School university partners for MSc in Data Science and AI for a Competitive Manufacturing​ are,

University College Dublin



Ecole Centrale de NantesEcole Centrale de Nantes

Ecole Centrale de Nantes

University of Trento