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Robotics and Autonomous Systems (with an industrial placement year) MSc

Robotics and Autonomous Systems (with an industrial placement year) MSc

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Computer Cybernetics

Course type

Taught

Course Summary

The world of robotics is exciting and fast paced - revolutionising the way we live, work and play. This course is for you if you are a non-engineering graduate wishing to work for engineering companies. This MSc with an industrial placement will give you the skills needed to work for employers developing or applying: devices or systems for robotics and automation; smart systems with autonomous capability; ubiquitous and wearable computing. You build on your individual responsibility, critical awareness and creative thinking, and examine issues such as: project management, planning and scheduling; resourcing; documentation and communication. Modules are assessed via: hands-on projects; reports and essays; unseen examinations. The project is assessed by a report, presentation and dissertation. For your placement, you work in an industrial setting for at least 40 weeks, making your MSc a two-year course (full time). An MSc in Robotics and Autonomous Systems could be your passport to a career in a wide range of established and rapidly developing areas that are changing our lives including: smart technologies; driverless vehicles; vehicle design; renewable energies; film and television; car production; space or underwater exploration; commercialised agriculture; medical diagnosis; remote and minimally invasive surgery; crime prevention.

Different course options

Full time | University of Sussex | 2 years | SEP-19

Study mode

Full time

Duration

2 years

Start date

SEP-19

Modules

In this module, you revise fundamental mathematic topics that you will use throughout the course modules. Your studies in this module cover: Functions; linear algebra and matrix algebra; calculus; differential equations; numerical integration; data handling (experimental methods). Through a series of examples and exercises, this module reawakens your mathematical skills, as you start to use them in engineering applications.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (overall cost)

£11,800

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (overall cost)

£24,300

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Students should normally have a lower second-class (2.2) undergraduate honours degree or above. Students are suited to this course if they are a non-engineering graduate and their degree-level qualification is in a subject including or related to mathematics, physics, biology, chemistry, agricultural engineering, and a subject with a high analytical content such as economics, experimental psychology, and physical geography. Other professional qualifications or experience of equivalent standing will also be considered.