Programme

The IEOR Master of Science in Engineering (M2) is a 60 ECTS programme structured into 2 semesters:

one academic semester dedicated to advanced methods in Industrial Engineering and Operations Research (modelling, optimisation, flow management, performance, planning, supply chain, maintenance),
one semester of a long internship (company or laboratory).

The programme is mainly taught in English.

Programme objective

The IEOR Master of Science in Engineering aims to train specialists capable of designing, managing and improving organisational performance (industry and services), by leveraging modern methods in Industrial Engineering and Operations Research.

At the end of the programme, students are able to:

model organisations and production/logistics systems,
assess their performance (cost, quality, lead time, reliability, impacts),
optimise the design of flows and systems, and the sizing of resources,
plan and schedule production and logistics processes,
integrate current approaches related to digitalisation (data, AI, digital twins) depending on the courses,
carry out an applied research approach (literature review + long internship) leading towards R&D and the PhD.

Overall structure (60 ECTS)

The programme is organised into teaching units (UE), which group together the courses and assessed activities within each block.

Block	Content	ECTS
Major	3 courses (30h each)	12
Minor (track)	3 courses (30h each)	12
Shared modules	Literature review + English + conferences	6
Internship	Long internship + deliverables	30
Total		60

Two tracks to choose from (M2)

Track GISIS
Health or Industry of the Future

A very open track, which maintains a solid IE/OR foundation while adding a health specialisation.

Major (3 courses of 30h) – 12 ECTS – in English

Organisation and management of production and logistics systems
Optimisation and decision support
Modelling, Enterprise Engineering and Simulation

Minor (3 courses of 30h) – 12 ECTS – in English

Planning and scheduling of production and logistics systems
Evaluation Methods and Digital Twins for Healthcare Systems
Data Science for Healthcare Systems

Track MAGIF
Industry of the Future

A industry-focused track, oriented towards production systems, performance, supply chain and decision support.

Major (3 courses of 30h) – 12 ECTS – in English

Organisation and management of production and logistics systems
Optimisation and decision support
Performance evaluation and design of production systems

Minor (3 courses of 30h) – 12 ECTS – in English

Modelling, Enterprise Engineering and Simulation
Planning and scheduling of production and logistics systems
Customer-oriented strategies for supply chain management

Shared modules (6 ECTS)

These courses are shared across the tracks (with content sometimes adapted depending on GISIS/MAGIF, notably for the literature review and internships):

Literature review – 3 ECTS

Literature work on a research issue, carried out in Semester 1 alongside the courses, with a report and an oral presentation.

English – 3 ECTS

English support for students who do not yet have the required level (exemption possible based on TOEIC/TOEFL, according to programme rules).

Conferences

A series of conferences focused on applied research and the state of the art (experts, project management, epistemology), to expose you to R&D practices in the field.

Long internship (30 ECTS)

The 5-month internship represents 30 ECTS and takes place in a company or laboratory.

Two possible formats

Laboratory internship (industrial engineering/operations research): recommended and often necessary if you are aiming for a PhD.
Company internship: in addition to the operational assignment, the student carries out an individual applied research project, with two oral presentations (assignment + research).