European Master on Embedded Intelligence Nanosystems Engineering (EMINENT) University of Siegen

Overview

The European Master on Embedded Intelligence Nanosystems Engineering (EMINENT)  joins excellent research and innovation oriented educational expertise across Europe, extending in this case from Portugal in the West to Lithuania in the East. This approach is absolutely unique on the European level and thereby provides unique benefits and opportunities for the students enrolled in the programme:

• Broad technological and educational expertise, and the research and innovation infrastructure, typically unavailable at a singular institution
• In depth curriculum on embedded intelligence nanosystems engineering complimented by topical specialisation tracks and digital, entrepreneurial and soft skills
• Training across existing disciplinary barriers
• Collaborative education in close contact with associated industrial partners and their networks in the employment market
• Learning beyond cultural barriers, enabling easier moves between countries
• Integrated and coordinated enhanced mobility plan
• Joint degree awarded by the participating academic institutions
• Consideration of all admitted students for the award of a scholarship

• EMINENT support service: Enrolment Advisors, visa support, welcome days, mentoring system, Alumni Club, career service, disability support

EMINENT is a two-years master’s programme. Students will spend their studies at 2 – 4 different universities. All courses are given in English language. Graduates from the EMINENT programme will receive a joint degree, awarded by those universities they have physically studied at for at least one semester. All students spend their first semester at the Hellenic Mediterranean University and gain basic knowledge on functional nanomaterials. The second semester will be spent by all students at the University of Siegen , focussing on sensors, sensing devices and embedded systems.  The knowledge acquired in the first year will be the basis for the specialisation tracks, chosen in the third semester.

Specialisation tracks

1. Functional materials with optoelectronic properties (HMU, Greece)

2. Specialisation into embedded intelligent sensorics (USIEGEN, Germany)

3. Internet of Things and Robotics (UO, France)

4. Natural materials and biosensors (UNL, Portugal)

5. Advanced sensor systems and data processing (VILNIUS TECH, Lithuania)

Partner Universities

• University of Siegen
• Hellenic Mediterranean University
• University of Orleans
• Vilnius Tech University
• Nova University Lisbon

Career Opportunities

• R&D
• Embedded systems design
• Sensor system development
• Edge computing system engineering
• Application design of nanomaterials and nanostructures
• Autonomous system development
• Biosensing system design
• Low energy computing
• IOT deployment management and coordination
• Academic Education