collageThe English-language programme is the first Master’s degree course dealing with autonomous systems in Germany. It is run by globally recognised robotics experts, and the b-it bots RoboCup team has been successful on an international scale for several years.
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- CARNEGIE MELLON UNIVERSITY, PITTSBURGH, USA
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- UNIVERSITY OF MICHIGAN, USA
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- MASSACHUSETTS INSTITUTE OF TECHNOLOGY, BOSTON, USA
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Masters In Autonomous Vehicles Germany
The Level 9 Postgraduate Certificate in Sensors for Autonomous Vehicles is being developed with the intent of up-skilling engineers with the cross disciplinary skills to design the future of mobility within Ireland. A version of this course is running successfully in Kempten University of Applied Sciences Germany since 2014; the German version of the course continues to be industry-led by local Automotive companies such as BMW and Continental. IT Sligo has adapted this programme to meet the needs of automotive companies and associated OEMS based in Ireland (JLR, Valeo etc.) Read more to find out vital information about masters in functional safety germany.
The course in multi-disciplinary in nature; it is a mixture of Electronic Engineering & Software based skills, mathematics, and Artificial Intelligence for Automotive. Its intake can come from electronic engineering, mechatronic engineering, mechanical engineering or computer science – the course aims to produce graduates with the multidisciplinary skills required to design and build the next generation of automotive vehicles.
The Postgraduate Certificate in Sensors for Autonomous Vehicles is offered in an online manner, utilizing IT Sligo’s online delivery techniques. Lectures will run between 6pm and 9pm to facilitate the target market of those in industry hoping to up-skill. The students will be required to attend practical/hands-on sessions once per semester. This self-contained level 9 minor award enables learners to exit with a Certificate in Sensors for Autonomous Vehicles or to progress to complete a full Level 9 Masters in Connected and Autonomous Vehicles. The Full Masters incorporates an in-company research thesis, enabling the students to progress research and development in the industry and to encourage life-long learning for the students.
Springboard participants also complete a module on Personal Effectiveness and Employability, which has been designed to complement this programme aiding participants to up skill personally and academically to progress their careers.Objectives
The impetus for the development of this programme emerged from industry needs, originally in Germany and now in Ireland. A working group comprising of staff from IT Sligo, staff from Kempten University Germany, regional skills fora and Automotive companies such as Jaguar LandRover (JLR), Valeo, Analog Devices, General Motors and Xperi have developed the programme. Personnel from the working group will be engaged to deliver guest lectures on the latest updates on autonomous driving/safety/legislation, thereby keeping the course at the cutting edge of where this industry is in Ireland. It is also envisaged that students on the programme will engage with various industries in workshops where they will see the technology in action.
The programme also has the support of IDA, and the working group have been in consultation with them to ensure the program aligns with their strategy for the development of the industry within the region and country wide.
The programme also has the support of the cross-agency group CAV (Connected and Autonomous Group). Members of the working group are also members of CAV, and it is envisaged that the programme will continually align with the outputs of the CAV group.
Entry Requirements
Graduates with a Level 8 Honours Degree 2:2 or above in Electronic Engineering, Mechatronic Engineering, Mechanical Engineering, Computer Science or a related discipline are eligible to apply for this programme. Programming knowledge and Level 8 Engineering Maths are pre-requisites to the course.
Applicants who do not meet these criteria, but have the willingness to address them will be considered. Candidate interviews and entrance exams will be used to assess suitability for the programme.
In addition, international students, whose first language is not English, will be required to prove their English competency through previous examination results, recognized English language tests such as IELTS (6.5 or equivalent required) and through oral communication skills at interview.Long Description
The Level 9 Postgraduate Certificate in Sensors for Autonomous Vehicles is being developed with the intent of up-skilling engineers with the cross disciplinary skills to design the future of mobility within Ireland. A version of this course is running successfully in Kempten University of Applied Sciences Germany since 2014; the German version of the course continues to be industry-led by local Automotive companies such as BMW and Continental. IT Sligo has adapted this programme to meet the needs of automotive companies and associated OEMS based in Ireland (JLR, Valeo etc.)
The course in multi-disciplinary in nature; it is a mixture of Electronic Engineering & Software based skills, mathematics, and Artificial Intelligence for Automotive. Its intake can come from electronic engineering, mechatronic engineering, mechanical engineering or computer science – the course aims to produce graduates with the multidisciplinary skills required to design and build the next generation of automotive vehicles.
The Postgraduate Certificate in Sensors for Autonomous Vehicles is offered in an online manner, utilizing IT Sligo’s online delivery techniques. Lectures will run between 6pm and 9pm to facilitate the target market of those in industry hoping to up-skill. The students will be required to attend practical/hands-on sessions once per semester. This self-contained level 9 minor award enables learners to exit with a Certificate in Sensors for Autonomous Vehicles or to progress to complete a full Level 9 Masters in Connected and Autonomous Vehicles. The Full Masters incorporates an in-company research thesis, enabling the students to progress research and development in the industry and to encourage life-long learning for the students.Why Choose This Course
masters in autonomous systems
A master’s degree is the first level of graduate study. To apply for a master degree you usually must already hold an undergraduate degree (a bachelor’s degree). It’s been proven over and over again. Getting a college degree of any kind pays off. A Master’s degree is a second-cycle academic degree and the first level of graduate study, which means it is after a Bachelor’s degree and before a PhD. Read on to find out about autonomous systems course.
The benefits of a Masters extend beyond improving your earning potential. They can provide you with personal and professional skills to accelerate your development. They are also an opportunity to differentiate yourself from your peers, many of whom will have similar A-level and undergraduate qualifications.
Many industries today rely on autonomous systems. The machines and processes used in factories, for example, are often designed to self-regulate or to operate with minimal effort on the part of human workers. Students in the automation field may explore the principles necessary to design these systems.
About the Degree
Autonomy, adaptability and network integration are characteristic features of complex IT systems. Conventional control systems and architectures are no longer adequate to realise the potential of these technologies completely, nor are they sufficient to master the complexity of such systems. The solution is to design selected components as “autonomous systems” which can act mainly by themselves without external control. In this context, autonomous mobile and biomimetic robots constitute the forefront of development.
The international programme in “Autonomous Systems” offers multifaceted training in the fields of artificial intelligence and robotics, spanning a whole range of topics involved in the field. These include but are not limited to autonomous agents, robot control architectures, mobile manipulation, compliant control, navigation and control of mobile robots, learning and adaptivity, computer vision, real-time systems, distributed systems, sensor networks, fault tolerance, automated planning, and AI reasoning.
The four-semester programme aims to challenge talented, motivated and dedicated students, and involves coursework as well as project work. A large portion of the programme, including the preparation of the Master’s thesis, involves research and development projects.
The project work includes an R&D project and a final thesis project. The programme’s affiliation with the Fraunhofer Institute IAIS, one of the leading research institutes in Germany and the largest organisation for applied sciences in Europe, provides an unparalleled opportunity for students to pursue extensive practical training in cutting-edge projects. These may also be carried out at a number of other research institutes or within externally funded research projects at the university (for example, EU-funded projects ROPOD, SciRoc, RockEU2, RoCKIn (completed), BRICS (completed), XPERO (completed), and RoSta (completed) as well as nationally funded projects such as MigrAVE, SAFEMUV, METRICS, RoboLand, EmoRobot (completed) and AICISS (completed)). This helps to ensure a high-quality education in the field, and also offers problem-oriented training in soft skills such as project management and presentation. Students have the opportunity to carry out research work in cooperation with industrial entities such as Fraunhofer IAIS, IPA, FKIE and SCAI, Locomotec, BGIA, Infineon, Philips, Siemens, Bosch, Toyota, General Electric and Bertrand.
Presentations by leading international guest speakers are scheduled regularly, and they help to further expose students to the state of the art in a wide variety of robotics-related fields. The programme accommodates a maximum of 25 admitted candidates per semester, thus guaranteeing an exclusive, and high-quality education. An extraordinary level of commitment, proactiveness, self-discipline, and the ability to work well under pressure are expected of candidates.
autonomous systems course
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Application deadline
There are two semesters per year, winter (starts the first week of September) and summer (starts the first week of March).
The application windows for both semesters open the year before the semester starts: for the winter semester, it opens on 15 November, and for the summer semester, it opens on 15 May.
The deadlines are as follows:
For international students requiring a visa to study in Germany:
For the winter semester: 15 January of the same year in which the semester starts
For the summer semester: 15 July of the year before the semester starts
For students who do not require a visa to study in Germany:
For the winter semester: 15 August of the same year in which the semester starts
For the summer semester: 15 February of the same year in which the semester starts
university of bonn robotics masters
The English-language programme is the first Master’s degree course dealing with autonomous systems in Germany. It is run by globally recognised robotics experts, and the b-it bots RoboCup team has been successful on an international scale for several years.
You can apply for admission the year before the semester starts: for the winter semesters starting November 15 and for the summer semesters starting May 15.
The Level 9 Postgraduate Certificate in Sensors for Autonomous Vehicles is being developed with the intent of meeting the needs of the growing automotive industry within Ireland. Engineers to design Advanced Driver Assistance Systems(ADAS) such as lane assist, automated braking, and visualization through blind spots are much sought after, and the onset of autonomous driving will further reinforce this growing need.
This course focuses on the intelligence/machine learning needed by the vehicle to make decisions regarding the autonomous driving of the vehicle. Decisions such as lane finding, route planning and adaptive cruise control are examples of what future vehicles need to make. The aim of the course is to enable engineers in Ireland grow this predominantly software-orientated market in Ireland, and thereby continue growing Ireland’s reputation as a global tech hub (siliconerepublic.com). Albeit not a traditional automotive manufacturing country, Ireland is very strong in software based skills and it is this skillset that is at the core of this new course.
Timetable Info
To be confirmedDelivery Location
Lectures are delivered live online and recorded so that participants can listen to them at a time that suits them.Delivery Notes
OnlineAdmissions Contact DetailsContact Person
Jean GilliganAddress
IT Sligo
Ash Lane
SligoPhone
+10719305835Email
springboardadmissions@itsligo.ieRPL Information
Applicants wishing to apply for RPL must indicate this on their Springboard application.Application Procedures
All applicants hoping to avail of Springboard funding must apply directly through the Springboard platform www.springboardcourses.ieMediaIT Sligo Online student experiences
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