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

France

Study options for this course

The award	How you will study	Study duration	Course start	Domestic course fees	International course fees
MSc, Double Masters	Full-time	2 years	September	EUR 8000 per year	EUR 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

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 [email protected]

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.

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.

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

Study options for this course

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

Notes about fees for this course

Entry requirements

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Other courses at EIT Manufacturing

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