MSc in Data Science and AI for a Competitive Manufacturing
Introduction
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.
Internationalisation
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: Open from 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 are scholarships awarded?
Scholarships are merit based. Mobility grant is provided to all students. All students are eligible for scholarships and they don’t need to present any specific request for it. The EIT Manufacturing Master School will rank the students and offer the scholarships at the time of the student admission. Scholarships are awarded to a sub-set of students based on a ranking that considers: Academic grades, gender, RIS countries citizenship and study track
Note: Scholarships are awarded on a first-come first-serve basis, hence we encourage applicants to apply early.
How to apply?!
Apply before 31 March 2025
We encourage non-EU applicants to apply early for visa purposes
Got a question?!
Email us at masterschool@eitmanufacturing.eu
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.
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.
Entry – Exit combination
A student can choose to apply to a maximum of one programme. Within each programme, a student can choose up to two study combinations, meaning combinations of entry and exit universities.
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.
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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Hear from our student
“In this programme, I look forward to gaining insights into the bottlenecks of the manufacturing industry, recognizing that opportunities and challenges are two sides of the same coin. The practical aspect of learning within the programme, where I engage with industry experts and partners, is particularly appealing to me.”
Glimpse of the programme
Frequently Asked Question (FAQ)
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Graduates of this programme are well-prepared for a wide range of impactful career opportunities in various sectors, including manufacturing, technology, and business. Some potential career paths for these graduates include:
– Data Scientist in Manufacturing: Graduates can work as data scientists in manufacturing industries, leveraging their expertise in data science and AI to analyze and optimize manufacturing processes, quality control, and supply chain management.
– Manufacturing Engineer: With a strong foundation in manufacturing engineering, graduates can pursue traditional manufacturing engineering roles but with an advanced focus on data-driven decision-making and process optimization.
– Digital Manufacturing Specialist: Graduates can specialize in digital manufacturing, where they apply data science and AI to transform traditional manufacturing processes into smart, data-driven systems that are more efficient and cost-effective.
– Industrial Automation Engineer: These professionals can work on designing and implementing automation systems that incorporate AI for predictive maintenance, real-time monitoring, and quality assurance.
– Product Development Manager: Graduates can contribute to product innovation by managing the development of new products and services that incorporate data science and AI, from ideation to commercialization.
– Strategic Consultant: Graduates can offer their expertise as consultants, advising companies on how to leverage data science and AI to enhance their manufacturing processes, improve efficiency, and stay competitive.
– Entrepreneur: With skills in transforming innovations into successful business solutions, graduates can start their own companies or work in startups focused on data-driven manufacturing and automation.
– Supply Chain Analyst: Graduates can work in roles that involve optimizing supply chain operations using data science and AI, making the movement of goods and materials more efficient.
– Research and Development (R&D) Engineer: These professionals can engage in research and development activities, driving innovation in data science, AI, and manufacturing technologies.
– Sustainability Specialist: Graduates can focus on sustainable manufacturing practices, helping companies reduce waste and energy consumption through data-driven approaches.
– Project Manager: Graduates can take on project management roles, overseeing the implementation of data-driven manufacturing projects and ensuring they align with sustainability goals and societal impact.
– Quality Assurance Manager: Graduates can specialize in quality control and assurance, using data science and AI to maintain high standards of quality in manufacturing processes.
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Upon successful completion of this programme, 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.
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– Two Master’s degrees (issued by the partner institutions).
– An EIT Label Certificate.
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– Follow one of the five tracks (with international mobility).
– Take part in the innovation and entrepreneurship courses (in particular the summer school).
– Validate an internship.
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– Students who have a Bachelor of Science Degree of 180 ECTS in a field related to the five tracks described above.
– Students in their final year of Bachelor of Science studies may also apply, and if qualified, receive conditional acceptance. They will have to present their degree certificate to the entry university before enrolment, at the latest.
– The specific required admission diplomas are:
- Bachelor of Science degree in mechanical engineering, electrical engineering, computer engineering, computer science, information technology or industrial engineering.
- Please check each programme information into the brochure for specific admission diplomas restrictions
- Students’ Bachelor of Science degree must provide the student with basic competence in the following fields:
- engineering analysis, production operations, and mathematics including calculus, algebra, and mathematical statistics.
- Students who are fluent in English. (English level evaluated by TOEIC, TOEFL or similar programme).
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All programmes are taught in English.
NOTE: The English test must be taken on or after 30 September 2023, older results will not be accepted.
Minimum certificate grade is:
– IELTS >= 6.5, with no section lower than 6
A photocopy of the IELTS test result together with your application documents is sufficient.
– TOEFL IBT>= 93 (minimum 21 for writing, 19 in the other sections)
English test results from TOEFL should be sent directly from the ETS test centre to the EIT Manufacturing Master School Office (EIT Manufacturing Master School code number: C898, you can choose industrial engineering if you apply to “Platform for Digitalized Value Networks” and “Data Science and AI for Competitive Manufacturing”, otherwise choose mechanical engineering for the other programmes)
- CAE: grades A – C are accepted
- CPE: grades A – C are accepted
English proficiency tests are waived for applicants who:
- Have completed a bachelor degree given in English at a university in an EU/EFTA country. The instruction language of the bachelor degree must be stated in the degree certificate or its supplement, or in the transcript of records.
- Have completed a bachelor degree given in English at a university that is physically located in one of the following countries: USA, Canada, UK, Ireland, Australia or New Zealand.
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Applications are made through the EITM Master School applications portal
A student can choose to apply to a maximum of two programmes, ranking them in the preferred order. Within each programme, the student can choose up to three study tracks, meaning combinations of entry and exit universities, wherever available.
The student must upload the following documents, in PDF and portrait format, before the applications deadline. Specific information about the document requirements and format are available in the applications portal.
- Degree Certificate/Diploma in its original language AND translated into English. In case of on-going studies, a statement certifying that the student is in the final year of his/her studies.
- Official and stamped transcript of records in original language and translated into English. All courses taken must be included.
- English proficiency certificate.
- Curriculum Vitae including details of academic and professional career. No specific CV format is requested.
- A letter of motivation, no longer than two pages in length, in which the student proves his/her innovative potential. A specific motivation letter for each programme is required, if the student applies to two programmes.
- A colour copy of either your National ID (only for EU/EFTA students) or passport.
Moreover, when the student is admitted, the entry university will contact the student to complete the formalities for enrolment, and might request additional documents.
IMPORTANT
- The student must upload the original version of their bachelor degree certificate and transcript of records. If this is not possible, photocopies of your degree certificate, transcript of records and statements should be stamped and signed by the degree administrations office (or equivalent department) of the issuing institution, or by a notary public.
- The EITM Master School does not accept documents after deadline. All documents must be uploaded/arrive before the deadline, in order to be considered for the selection.
- Applications that are not supported by official documents will not be processed.
- Statements made by professors or the heads of departments are not accepted.
- Applications with fraudulent documents will invariably be rejected.
- All students admitted must present the original transcript of records and degree certificate/diploma before enrolment.
SPECIAL UNIVERSITY REQUIREMENTS
For students choosing ECN (Ecole Central de Nantes – France) as entry/exit university:
- You have to submit also two letters of reference from two different people, otherwise do not upload.
For NOT EU/EFTA students choosing SUPSI (University of Applied Sciences and Arts of Southern Switzerland – Switzerland) as entry/exit university, before apply, please:
- check the Switzerland entry requirements here
- check NOT ELIGIBLE Countries for VISA in Switzerland here
NB: It is every prospective student´s responsibility to make sure their application is correct and complete.
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Scholarships are merit based. Mobility grant is provided to all students. Scholarships are awarded to a sub-set of students based on a ranking that considers:
- Academic grades
- Gender
- RIS countries citizenship
- Study track
All students are eligible for scholarships and they don’t need to present any specific request for it. The EIT Manufacturing Master School will rank the students and offer the scholarships at the time of the student admission.
Selection results and appeals
During the selection, the student application will be evaluated according to the ranking of the programmes and respective study track choices.
Once the selections are closed, the student will receive a written communication about his/her admission to the specific programme and study track.
Students have the right to appeal decisions based on eligibility requirements only. Appeals concerning selection criteria, ranking and distribution of scholarships will not be considered.
Appeals are handled by the EIT Manufacturing Master School Office in accordance with Belgian law. If further actions are deemed necessary and an appeal is processed on the level of the university, it shall be processed in accordance with national legislation of the Partner University and Partner University regulations.
