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EITM Master School - MSc Data Science and AI for Competitive Manufacturing, MSc, Double Masters

EIT Manufacturing, France

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Study options for this course

The award How you will study Study duration Course start Domestic course fees International course fees
MSc, Double MastersFull-time2 yearsSeptemberEUR 8000 per yearEUR 15000 per year

About EITM Master School - MSc Data Science and AI for Competitive Manufacturing, MSc, Double Masters - at EIT Manufacturing

The Data Science and AI for Competitive Manufacturing program (DS) is a Master of Science level program within the EIT Manufacturing (EITM) Master School. The EITM Master School is a highly prestigious Manufacturing Engineering and Science education provider on advanced level with a focus on Innovation and Entrepreneurship (I&E). The education at EIT Manufacturing Master School combines technical competence with skills in Innovation and Entrepreneurship. EIT Manufacturing Master School students will be an elite group of forthcoming engineers, ICT experts, operators, innovators, and other relevant professionals.

Data Science and AI for Competitive Manufacturing is a combination of studying manufacturing science and Information and communication technology including the usage and adoption of advanced digital solutions and platforms. During the program, students will gain new skills in these areas.

  • Relevant fields of study include modeling and simulation, virtual prototyping, service and system engineering, machine learning, and data mining.
  • Students learn the latest theoretical knowledge and know how to apply their skills in practical real-life problems. Typical application areas of Data Science and AI for competitive manufacturing: Cyber-physical systems (CPS), Information system management, digital monitoring, and digital security.

Students will have a solid background with well-founded scientific knowledge with significant technical and application content, favoring immediate entrance to the job market. Typical functions of a DS engineer and ICT expert include quality management, design and management of manufacturing processes, industrial installations as well as machine learning techniques, and High-performance computing for data science.

Learn more about the program here.

Program structure:

The first year is spent at one university (entry) and the second year at another (exit) university in two different European countries. There is a choice of 2 entry points and 1 exit point.

The following universities provide an entry year (first year):

  • University of Applied Sciences and Arts of Southern Switzerland (SUPSI)
  • Ecole Centrale de Nantes (ECN), France
  • University College Dublin (UCD), Ireland

The following parties provide an exit year (second year):

  • Università di Trento (UNITN), Italy

NB: EIT Manufacturing reserves the right to change the exit university of this programme

ECTS:

The two years program (120 ECTS) includes an Innovation and Entrepreneurship (I&E) Module (30 ECTS) and a Technical Major Module (90 ECTS) structured as follows:

  • 45 ECTS for Host Programme technical courses
  • 15 ECTS for Host Programme AM specialization courses
  • 30 ECTS for the I&E Module courses
  • 30 ECTS for the Master thesis

Learn more about EITM Master School - MSc Data Science and AI for Competitive Manufacturing, MSc, Double Masters - at EIT Manufacturing

Visit course webpage

Notes about fees for this course

Nominal course duration: 2 years

Fee: €8,000 per year

Available financial supports:

  • Tuition fee waivers up to 100%
  • Mobility grant scholarship of EUR 2,000 per 24 months
  • Subsistence costs scholarship up to EUR 9,000 for 12 months (EUR 18,000 for 24 months)

Note: Students' financial support is provided to a sub-set of enrolled students. No specific request is needed.

For any queries, please write to us at masterschool@eitmanufacturing.eu

Entry requirements

Applicants must have completed a Bachelor’s degree encompassing a minimum of 180 ECTS credits.

The specific required admission diplomas are:

B.Sc. degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, Business Engineering, Management Engineering, Computer Science, Information Technology, Industrial Engineering, or equivalent degrees.

  • Students should have basic competence in engineering analysis, production operations, and mathematics including calculus, algebra, and mathematical statistics.

B.Sc. degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, Business Engineering, Management Engineering, Computer Science, Information Technology, Industrial Engineering, or equivalent degrees.

  • Students should have basic competence in engineering analysis, production operations, and mathematics including calculus, algebra, and mathematical statistics.

Language requirements: English

  • IELTS >= 6.5, with no section lower than 6
  • TOEFL IBT>= 93 (minimum 21 for writing, 19 in the other sections)
  • CAE: grades A – C are accepted
  • CPE: grades A – C are accepted

Note: English proficiency tests are waived for applicants who fulfill certain conditions.

To know more about the eligibility criteria, application deadlines, necessary documents to be shared, and English proficiency test waive-off conditions, kindly check here.

Fees, Funding and Scholarships at EIT Manufacturing

Available financial supports:

  • Tuition fee waivers up to 100%
  • Mobility grant scholarship of EUR 2000 per 24 months
  • Subsistence costs scholarship up to EUR 9000 for 12 months – EUR 18000 for 24 months

Students' financial support is provided to a sub-set of enrolled students. No specific request is needed.

Kindly check here for the eligibility criteria. 

Student reviews of EIT Manufacturing

Find out what students say about EIT Manufacturing

Student

Pedro Pinho Senna - EIT Manufacturing Doctoral School PhD Student (2020)

I recommend the EIT Manufacturing Doctoral School as it helped me gain state-of-the-art knowledge. We had 3 modules that were more prone towards Business, Economics, and getting the Ph.D. ideas that would later turn out to be innovative startup ideas. I thoroughly enjoyed the program and recommend as it is totally worth it.

I am also glad to be part of the EIT Manufacturing alumni, a diverse community of 20000 students as it provides a vast network and knowledge sharing with other communities.

Student

Diago Rocha - EIT Manufacturing Doctoral School Student

If you are a Ph.D. student, I encourage you to enroll with EIT Manufacturing Doctoral School. We need new researchers to develop new startups in the future and to bring manufacturing back to Europe.

During the program, we had a compilation of Scientists who were from Business, Marketing, Robotics, and Mechanical Engineering backgrounds. We all come from different backgrounds and every individual will have a different point of view and we work together to put these different pieces together to obtain a good product in the end.

Student

Maja Trstenjak - EIT Manufacturing Doctoral School Student

I recommend the EIT Manufacturing Winter School as it helped me gain
state of art knowledge. I am also super happy to have won in one of the
case studies conducted on 'How to adapt products & business for the new age' where we collectively worked as a team and our efforts were recognized.

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