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Advanced Manufacturing Systems (Distance)
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ΜΕΤΑΠΤΥΧΙΑΚΑ

Advanced Manufacturing Systems (Distance)

Brunel University London
London, Μεγάλη Βρετανία
E-learning
€11,518.34/έτος
 1727 Πόντοι
Διάρκεια
1 Έτος
Γλώσσα
Αγγλικά

Περιγραφή Προγράμματος

Our Advanced Manufacturing Systems MSc degree focuses on providing you with a unique learning opportunity to develop in-depth knowledge and skills in advanced manufacturing, aiming to produce the leading engineers and researchers required for Industry 4.0 oriented smart manufacturing to improve products and production processes.

This course is designed to address the challenges of modern manufacturing and enterprise systems. It covers a breadth of subjects that enables you to appreciate and deal with the complexities of modern industrial environments. You’ll learn the latest techniques in manufacturing and systems engineering and work on real issues and problems given by our industrial partners.

Built on our world-class research and expertise, this degree addresses the full spectrum of subjects concerning advanced manufacturing including advanced design, manufacturing technologies including manufacturing simulation and robotics, sensors and measurements, data analytics, quality engineering management and supply chain management.

The course is developed with strong industrial advice and the appropriate balance of theory and practice. You’ll be taught by a team of expert staff and industry collaborators and have access to excellent laboratory resources and facilities, including the latest engineering software tools.

Brunel’s Advanced Manufacturing Systems MSc degree is accredited by the Institution of Mechanical Engineers (IMechE) and the Institution of Engineering and Technology (IET). This means your degree will put you on track to gain Chartered Engineer (CEng) status in the UK.

Our Advanced Manufacturing Systems MSc online gives students and professionals around the world the opportunity to study this master's without leaving their home, offering a unique modern learning experience. This means you can earn your master’s from wherever you live and work. Studying online, you’ll still benefit from connecting to fellow students, professionals, and academics worldwide, through our innovative online learning platform.

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Εκπαίδευση
Πτυχίο Πανεπιστημίου - Bachelor's Degree
6
ή
Πτυχίο ΤΕΙ
6.5
Επίπεδο Αγγλικών
TOEFL (paper based)
550
ή
Michigan Proficiency (ECPE)
C
ή
Cambridge Proficiency (CPE)
C
ή
Cambridge Advanced (CAE)
C
ή
International Baccalaureate
5.0
ή
TOEFL (internet based)
79
ή
IELTS
6
ή
PTE
59
ή
Pearson Test of Academic Engl.
59
Σημειώσεις:

Information about requirements:

  • A 2:2 (or above) UK Honours degree or equivalent internationally recognised qualification in an engineering, science or technology subject; Mathematics or Statistics discipline
  • Other subjects with relevant work experience will be assessed on an individual basis.

Other accepted English qualifications:

  • BrunELT (Brunel English Language Test): 60% (min 55% in all areas)
  • Trinity ISE
  • LanguageCert
  • City & Guilds ESOL, IESOL adn SESOL (no expiry)
  • European Baccalaureate Year 7 (Except English Language 4)
  • Duolingo

Περιεχόμενο Μαθημάτων

As a full-time student of this postgraduate engineering degree, you will study four modules in the first term, and four in the second. You will then spend four months working on your dissertation. This involves an in-depth study of a manufacturing problem or situation, requiring a high standard of investigation and presentation. The analysis of a ‘real’ industrial problem is expected, frequently involving a company or workplace.

Περισσότερα

Διδασκαλία και Μάθηση

Our staff have national and international reputations for their research, publications and applied work. This means that your education will be at the forefront of scholarship and practice, covering the most up-to-date industry knowledge.

Your learning will be enhanced through guest speakers from different areas in manufacturing and technology.

Study will combine lectures, seminars, tutorials, supervised laboratory sessions, and individual and group project work.

Περισσότερα

Κορμός Μαθημάτων

Manufacturing Systems, Design and Economics

This module aims to meet the growing need of manufacturing industry for graduates with very high levels of knowledge and skills in advanced manufacturing processes, design of manufacturing systems and management of production facilities, including the understanding of materials and their properties in relation to production processes, the design of products for automated manufacture, advanced, automated production and assembly systems, and advanced and micro manufacturing and production processes.

Systems Modelling and Simulation

This module aims to encourage systematic thinking and acquiring knowledge and skills to model and analyse modern complex systems.

Robotics and Manufacturing Automation

This module aims to provide an understanding and critical awareness to designing and controlling modern automated manufacturing systems, and employs a systems approach in doing so. The module provides an exposure to a variety of industrial and factory automation practices and also an understanding in selecting appropriate automation and control methods for the equipment or process at hand.

Sustainable Design and Manufacture

This module aims to provide students with methods for analysing sustainability in design, quantifying the quality parameters, calculating and assigning appropriate tolerances, analysing the manufacturing operations for achieving the required quality targets. The emphasis will be on the link between design information and manufacturing operations to produce products and propose operations that reduce the environmental impact of manufacturing.

Computer Aided Engineering 1

This module aims to give the students the knowledge to model the entities, points, edges, surfaces and solids for CAE and the skill to create the computer model of a part or assembly using a contemporary CAE software package (CATIA), and to educate the students in the theory and application of Mechanism Synthesis and Analysis and to equip the students with the skill of modelling mechanisms using the MATLAB and Simulink software packages.

Advanced Measurement Systems and Data Analysis

This module aims to help students to gain an in-depth knowledge of basic measurement theory, operating principle of modern measurement techniques, capabilities of practical measuring machines and advanced data analysis.

Dissertation

The dissertation aims to help students develop their problem solving, communication and project management skills to work independently in consultation with their academic supervisor and carry out in-depth investigation of a suitable topic relevant to the course.

Επαγγελματικές Προοπτικές

Our graduates are ready to become:

  • leading engineers
  • researchers
  • project leaders
  • entrepreneurs in manufacturing industry
  • research organisations and universities
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