MSc Data Science and AI for Competitive Manufacturing

MSc in Data Science and AI for Competitive Manufacturing is a globally recognized dual-degree program backed by EIT and EIT Manufacturing. This unique program 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 curriculum of this program 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 program 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 program 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 program, 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.

The EIT Label Certificate

All EIT Manufacturing Master degree programs are Awarded by the European Institute of Innovation and Technology (EIT), the EIT Label is a certificate of quality and excellence for educational programs 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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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.

In the initial year of their program, 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.

1st Year ECN

• Discrete-Event Simulation: 4 ECTS
• Introduction to Optimization Methods: 4 ECTS
• Production Management: 4 ECTS
• Statistics and Data Analysis: 4 ECTS
• Enterprise 4.0 Processes: 4 ECTS
• Introduction to Information Systems: 4 ECTS
• Operation Research: 4 ECTS
• Basics of Computer Science and Mathematics: 3 ECTS
• Enterprise Modelling: 4 ECTS
• Strategic Management of Sustainable Enterprise: 4 ECTC
• Introduction to Research: 4 ECTS
• I&E Project Management: 4 ECTS
• Financial and Economic Aspects for Industrial Engineering: 4 ECTS
• Innovation Engineering: 4 ECTS
• Other Mandatory Language Courses: 2 ECTS
• Mandatory Language Course: 2 ECTS

2nd Year Trento

• Machine Learning: 6 ECTS
• Data Mining: 6 ECTS
• High-throughput Computing for Data Science: 6 ECTS
• Introduction to Computer and Network Security: 6 ECTS
• Robot Planning and its Application: 6 ECTS
• Multisensory Interactive Systems: 6 ECTS
• Software Development for Collaborative Robotics: 6 ECTS
• Service Design and Engineering: 6 ECTS
• Innovation and Entrepreneurship Studies in ICT (Core): 6 ECTS
• AI and Innovation: 6 ECTS

1st Year SUPSI

• Predictive Modeling: 3 ECTS
• Machine Learning: 3 ECTS (selected from 4)
• Multi-Agent Systems: 3 ECTS (selected from 4)
• Causal AI: 3 ECTS
• Data Analysis and Classification: 3 ECTS
• Advanced Data Management – Non-Standard Database Systems: 3 ECTS
• Quality and Risk Management: 3 ECTS
• Virtual Environments: 9 ECTS
• Quality and Risk Management (CM_QRM) 3 ECTS
• Deep Learning Lab 3 ECTS
• Advanced Probabilistic Modelling (MC_APM) 6 ECTS
• Machine Learning in Computer Vision (TSM_CompVis) 3 ECTS
• Project in data science applied to manufacturing. 10 ECTS
• Innovation and Lean (CM_InnoLEAN) 3 ECTS
• Centrally organized summer school 5 ECTS

1st-Year UCD

• Computational Continuum Mechanics II: 5 ECTS
• Computational Continuum Mechanics I: 5 ECTS
• Systems Analysis & Improvement (EITM): 5 ECTS
• Advanced Polymer Engineering: 5 ECTS
• Advanced Metals Processing: 5 ECTS
• Manufacturing Engineering II: 5 ECTS
• Engineering Decision Support Systems: 5 ECTS
• Centrally Organized Summer School: 5 ECTS

2nd Year UNITN

• Machine Learning: 6 ECTS
• Data Mining: 6 ECTS
• Software Development for Collaborative Robotics: 6 ECTS
• Innova­tion and Entrepreneurship Studies in ICT (Core): 6 ECTS
• AI and Innovation: 6 ECTS
• Project Course: 6 ECTS
• Master Thesis (Including Internship) (Core): 30 ECTS

Upon successful completion of this program, students are conferred with a Master of Science (Technology) degree, equipping them with a solid academic footing to pursue advanced studies at the doctoral level or secure post-doctoral positions at EIT Manufacturing Doctoral School or internationally.

Whether aiming for advanced research or international career prospects, this degree equips individuals with the necessary expertise and credentials to excel in their chosen fields.