Tuition Fee
AED 74,263
Per course
Start Date
Medium of studying
On campus
Duration
1 years
Details
Program Details
Degree
Masters
Major
Electrical Engineering | Mechanical Engineering | Robotics Engineering
Area of study
Engineering
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
AED 74,263
Intakes
| Program start date | Application deadline |
| 2025-09-01 | - |
About Program
Program Overview
MSc Robotics
Programme Overview
This MSc will aim to prepare you to take a leading role in the research and development of future generations of robotics and artificial intelligence systems. Possible employment possibilities of graduates from this programme include working in businesses and projects focusing on security and surveillance (e.g. realised with mobile drones), manufacturing (robotic manipulators), logistics (automated goods delivery), inventory management (automated warehouses), and so on.
Programme Modules
- Mobile Robotics (15 Credits) - Compulsory
- Mobile robots are widely used in dangerous and remote locations and are increasingly being introduced into everyday human environments (self-driving cars, autonomous delivery systems, UAVs). In this module, students will study how such intelligent sensor-guided systems work and learn to program them to achieve complex autonomous behaviours.
- Robot Manipulation (15 Credits) - Compulsory
- In this module, students will learn to use and program state-of-the-art robot arms and end effectors, such as those employed in car production lines, CNC machines, medical research, pick and place operations. Such machines are generally mounted in fixed positions and can move with speed or with load-carrying capability and precision.
- Machine Learning for Robotics (15 Credits) - Compulsory
- This module is designed to provide students with state-of-the-art knowledge of Machine Learning and Artificial Intelligence techniques that are widely used in robotics and enable them to design their own intelligent robotic system. Students will be able to evaluate ML and AI techniques used in robotics and strategically apply and combine them into real robot applications.
- Intelligent Sensing for Robotics (15 Credits) - Compulsory
- This module explores advanced sensor solutions and sensing mechanisms, such as computer vision and tactile exploration, and how they are used in autonomous robots. Students will learn to gather sensory data and employ appropriate techniques, including machine learning algorithms, for intelligent data processing in robotics.
- Robot Control (30 Credits) - Compulsory
- This module will introduce students to the sensors and actuators currently most used in robotic systems and how these are programmed and controlled. Fundamental notions of control methods are enriched by projects performed with real hardware, showing the practical effects of various control strategies. The module will also introduce students to academic reading and writing for robotics research and development.
- Robotic Systems Integration (30 Credits) - Compulsory
- The module will review how the various hardware and software components of a robotic system can be joined and integrated. A range of different robot systems will be analysed and explained. In addition, through a group project coursework, the module provides students with the opportunity to develop their competence in undertaking projects through a systematic research and development process, using a formal project management approach.
- Project (60 Credits) - Compulsory
- The module is designed to consolidate the knowledge and skills students gained in the preceding modules and provide them with the opportunity to develop and demonstrate mastery in undertaking advanced robotics projects in their future employment. Students will display advanced skills and practical experience in planning, problem-solving, and implementing robotics solutions and in making effective written and oral project presentations.
Programme Content
- Why study MSc Robotics at Middlesex University Dubai?
- Our hands-on Master’s degree in Robotics blends practice with theory to equip you with the skills, knowledge and experience they need for a career as a robotics Research and Development expert. The postgraduate degree includes significant time working in laboratories under the supervision of our expert teaching staff, many of whom have worked in robotics since the early days of the technology and ...
- Deepen your understanding of the latest technologies and mobile platforms
- The MSc Robotics programme will be offered in full-time (lasting 1 year) and part-time (2 years) study modes. The programme will consist of compulsory modules which are either term-long or run over the entire academic year. These are either 15 or 30 credit points. In addition to these modules, you will complete a 60 credit individual project module that will enable you to consolidate your analytic ...
Course Overview
- Fees (Total): AED 74,263
- Fees Breakdown:
- Year 1: AED 37,132
- Year 2: AED 37,132 (Part-time)
- Intake: September
- Duration: This programme is taught over 1 year full-time and 2 years part-time.
- Attendance: This programme is offered full-time and part-time.
- Course Leader: Dr Sameer Kishore FHEA
- Head of Department: Professor Fehmida Hussain (DPhil, SFHEA, CITP FBCS)
Entry Requirements
- Academic Requirements:
- An Honours degree normally classified 2.2 or above, or equivalent, in engineering, computer science or a related area.
- Candidates with other degrees are welcome to apply provided they can demonstrate appropriate knowledge and skills at the discretion of the University.
- English Language Requirements (Postgraduate):
- IELTS Academic: 6.5 (with 6.0 in each component)
- TOEFL Internet-based: 72 (Reading min 18, Writing min 21, Listening min 17, Speaking min 20)
- Pearson PTE Academic: 59 (with 59 in all components)
- Dubai Campus MDX Internal English Test: 6.5 (with 6.0 in each component)
Teaching
- Classes are held at our Dubai Knowledge Park campus on weekdays (Monday to Friday) from 6:30pm to 9:30pm.
- Occasional weekend or holiday sessions may also be scheduled with prior notice. Most modules include one session per week, with exceptions noted in the timetable. For the Dissertation, you’ll work independently.
- The programme involves a mix of lectures, seminars, and practical sessions.
Work While You Study
- Evening classes are designed to fit around a busy lifestyle, making it possible to work during the day while pursuing your studies. This flexible schedule allows you to gain valuable professional experience or manage personal commitments alongside your academic goals.
Future Career and Employment
- Robotics plays a large and increasing role in manufacturing, space exploration, the office and the home, with products including: driverless cars, unmanned air vehicles (UAVs), 3D printers, cash dispenser machines, robot floor cleaners, pharmaceuticals, toys etc. Graduates of the programme will be well equipped for careers as Robotics professionals in a range of industries and SMEs, from advanced manufacturing to oil and gas exploration, nuclear energy to railways and automotive, healthcare to defence.
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