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1 | ACADEMIC QUALITY TEAM | |||||||||||||||||||||||||
2 | Programme Specifications 2024-25 | |||||||||||||||||||||||||
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5 | Programme Title | MSc in Intelligent Robotics | ||||||||||||||||||||||||
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7 | This document applies to students who commenced the programme(s) in: | 2024 | Award type | Master Degree | ||||||||||||||||||||||
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9 | What level is this qualification? | 7 | Length of programme | 1 year | ||||||||||||||||||||||
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11 | Mode of study (Full / Part Time) | Full Time | ||||||||||||||||||||||||
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13 | Will the programme use standard University semester dates? | Yes but must end before 1 September due to residence limitations | For York Online programmes, will standard dates for such programmes be used? | Semester 1 16 September 2024 - 31 January 2025 Semester 2 3 February 2025 - 6 June 2025 Summer 9 June 2025 - 29 August 2025 | ||||||||||||||||||||||
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15 | Awarding institution | University of York | Board of Studies for the programme | School of Physics, Engineering and Technology | ||||||||||||||||||||||
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17 | Lead department | School of Physics, Engineering and Technology | Other contributing departments | Engineering | ||||||||||||||||||||||
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19 | Language of study and assessment | English | Language(s) of assessment | English | ||||||||||||||||||||||
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21 | Is this a campus-based or online programme? | Campus-based | ||||||||||||||||||||||||
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23 | Partner organisations | |||||||||||||||||||||||||
24 | If there are any partner organisations involved in the delivery of the programme, please outline the nature of their involvement. You may wish to refer to the Policy on Collaborative Provision | |||||||||||||||||||||||||
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28 | Reference points | |||||||||||||||||||||||||
29 | Please state relevant reference points consulted in the design of this programme (for example, relevant documentation setting out PSRB requirements; the University's Frameworks for Programme Design (UG or PGT); QAA Subject Benchmark Statements; QAA Qualifications and Credit Frameworks). | |||||||||||||||||||||||||
30 | Framework for Higher Education Qualifications in England, Wales and Northern Ireland - August 2008 http://www.qaa.ac.uk/Publications/InformationAndGuidance/Documents/FHEQ08.pdf IET Accreditation - October 2014 & 2020 http://www.theiet.org/academics/accreditation/policy-guidance/ | |||||||||||||||||||||||||
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33 | Credit Transfer and Recognition of Prior Learning | |||||||||||||||||||||||||
34 | Will this programme involve any exemptions from the University Policy and Procedures on Credit Transfer and the Recognition of Prior Learning? If so, please specify and give a rationale | |||||||||||||||||||||||||
35 | No | |||||||||||||||||||||||||
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38 | Exceptions to Regulations | |||||||||||||||||||||||||
39 | Please detail any exceptions to University Award Regulations and Frameworks that need to be approved (or are already approved) for this programme. This should include any that have been approved for related programmes and should be extended to this programme. | |||||||||||||||||||||||||
40 | Although the university allows 40 credits of compensation, for the degree to remain IET-accredited, students can only be compensated in 20 credits. If a student has over 20 credits of compensation but has met the university progression requirements of 40 credits of compensation, they may be given the opportunity to resit compensated modules in order to reduce the compensation to 20 credits and remain on an accredited degree. Students who do not meet the IET criteria for accreditation will graduate with MSc Robotics. | |||||||||||||||||||||||||
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43 | Internal Transfers | |||||||||||||||||||||||||
44 | Please use the boxes below to specify if transfers into / out of the programme from / to other programmes within the University are possible by indicating yes or no and listing any restrictions. These boxes can also be used to highlight any common transfer routes which it would be useful for students to know. | |||||||||||||||||||||||||
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46 | Transfers in: | None | Transfers out: | None | ||||||||||||||||||||||
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49 | Statement of Purpose | |||||||||||||||||||||||||
50 | Please briefly outline the overall aims of the programme. This should clarify to a prospective student why they should choose this programme, what it will provide to them and what benefits they will gain from completing it. | |||||||||||||||||||||||||
51 | The use of robotics in many aspects of life is on the rise. From autonomous transportation, to farm machinery, to medical and environmental applications, to logistics, robots are present. Developing robots that are capable of adapting, and learning from experience, is a significant driver in the robotics industry and at the cutting edge of research development. The MSc in Intelligent Robotics provides you with the tools and skills necessary to become a leader in these expanding areas. Through lectures and hands-on experience, you will learn about the development of mechanisms, control systems, algorithms that can learn and adapt, and the challenges of operating robots in real environments. There is a strong focus on practical implementation, both in hardware and simulation. The MSc culminates in a large research project focussed on collective robotic systems, ranging from ground-based units to flying robots and new mechanisms at variable scales. You will work in a state of the art, dedicated, robotics laboratory for some modules and the final project (see the York Robotics Laboratory website for more details on the lab). This will prepare you for employment in robotics and autonomous systems related industries or for pursuing further research into Intelligent Robotics. Examples of careers in the rapidly expanding field of robotics include service industries, manufacturing, automation, logistics, or the entertainment industry. | |||||||||||||||||||||||||
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62 | If there are additional awards associated with the programme upon which students can register, please specify the Statement of Purpose for that programme. This will be most relevant for PGT programmes with exit awards that are also available as entry points. Use additional rows to include more than one additional award. Do not include years in industry / abroad (for which there are separate boxes). | |||||||||||||||||||||||||
63 | Exit Award Title | Is the exit award also available as an entry point? | Outcomes: what will the student be able to do on exit with this award? | Specify the module diet that the student will need to complete to obtain this exit award | ||||||||||||||||||||||
64 | MSc Robotics | No | Semester 1 and 2 taught modules (120 credits) passed. Research project passed (60 credits). The students will have completed all of the core taught material. The students will have gained broad knowledge of the Intelligent Robotics field. Does not meet IET requirements. Meets the MSc PLOs for the appropriate programme. | 180 credits passed | ||||||||||||||||||||||
65 | Postgraduate Certificate in Intelligent Robotics | No | Semester 1 taught modules (60 credit) passed. The students will have completed some of the core taught material. The students will have gained some broad knowledge of the Intelligent Robotics field. They will have made progress towards the PLOs although the research aspects of the these will not be met fully as the project will not have been undertaken. | Embedded Systems Design and Programming; Control and Instrumentation for Robotics; Practical Robotics | ||||||||||||||||||||||
66 | Postgraduate Diploma in Intelligent Robotics | No | The students will have normally completed all of the core taught material, gained knowledge of the Intelligent Robotics field and achieved all PLOs with the exception of some project elements where the project has not been undertaken. | Any 120 credits from the programme | ||||||||||||||||||||||
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68 | Programme Learning Outcomes | |||||||||||||||||||||||||
69 | What are the programme learning outcomes (PLOs) for the programme? (Normally a minimum of 6, maximum of 8). Taken together, these outcomes should capture the distinctive features of the programme and represent the outcomes that students progressively develop in the programme and achieve at graduation. PLOs should be worded to follow the stem 'Graduates will be able to...' | |||||||||||||||||||||||||
70 | 1 | Subject Knowledge: Conduct research and development in intelligent robotics design, theory and practice to advance the state of knowledge in intelligent robotics. | ||||||||||||||||||||||||
71 | 2 | Engineering Analysis: Extract and critically evaluate literature and other data about complex robotic systems from simulations and hardware deployment using analytical, statistical, and computational methods. | ||||||||||||||||||||||||
72 | 3 | Engineering Design: Create innovative and optimised designs to address intelligent robotics research problems involving hardware and/or software by synthesising novel ideas into practical solutions. | ||||||||||||||||||||||||
73 | 4 | Practical Skills: Apply professional skills of programming, control and design to independently address challenging research-based problems of intelligent robotic systems. | ||||||||||||||||||||||||
74 | 5 | Technical Communication: Communicate, debate, and contextualise information in a succinct and technically accurate manner for engineers and non-technical audiences, and to write and interpret technical documentation. | ||||||||||||||||||||||||
75 | 6 | Management & Personal Development: Proficiently manage themselves, teams and complex projects in preparation for technical careers as leaders in intelligent robotics. | ||||||||||||||||||||||||
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77 | Diverse entry routes | |||||||||||||||||||||||||
78 | Detail how you would support students from diverse entry routes to transition into the programme. For example, disciplinary knowledge and conventions of the discipline, language skills, academic and writing skills, lab skills, academic integrity. | |||||||||||||||||||||||||
79 | Prior to arrival: Students receive newsletters with information about the programme. Upon arrival: 3 afternoon intensive induction specifically designed to introduce students to the way we do things here at York, to level the understanding playing field; to give students the chance to get to know each other and work together in groups; to lay down a foundation of generic skills training and UK conventions, especially in teaching and learning; to get them started in writing and speaking skills, working in teams, some tools for creative problem solving, thinking, etc. We generally mix students in supervision groups by gender and country of origin - with the intention of helping them integrate. During the year: Workshops in the Practical Robotics module allow students to practice technical skills. Each module is designed to introduce key topic material, but also to allow students to apply this in practice in labs, tutorials, and via supported self-study. We also recommend that students can receive additional support from the central provision of the Maths Skills Centre and the Writing Centre if needed. | |||||||||||||||||||||||||
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88 | Inclusion | |||||||||||||||||||||||||
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90 | Please confirm by ticking the box on the right that the design, content and delivery of the programme will support students from all backgrounds to succeed. This refers to the University's duties under the Equality Act 2010. You may wish to refer to the optional Inclusive Learning self-assessment tools to support reflection on this issue. | TRUE | ||||||||||||||||||||||||
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92 | Employability | |||||||||||||||||||||||||
93 | Please give a brief overview - no more than 5 sentences - of how the programmes helps develop students' employability. Your Faculty Employability Manager can help reflection on this issue. This statement will be used by Marketing as the basis for external content with respect to employability. | |||||||||||||||||||||||||
94 | All our MSc programmes incorporate a carefully designed Professional Development Framework. In consultation with our Departmental Advisory Board, with key contributors from Industry, Research and Academia, this ensures that all students gain awareness of the essential skills that employers need and opportunities to develop their personal and team-based effectiveness. This begins with an Induction Week including an introduction to masters-level learning, and student team activities. In the Summer Semester students are prepared for research methodology and digital literacy, and undertake regular developmental training in project management. This all leads to a major group project (60 credit units) which is designed to give research and industry-relevant experience to individuals and teams as a major component of each programme. | |||||||||||||||||||||||||
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