Internet of Things and Future Networks MSc
| Program start date | Application deadline |
| 2023-09-19 | 2023-08-01 |
| 2024-01-09 | 2023-12-01 |
| 2024-09-01 | - |
Program Overview
This graduate program in Internet of Things (IoT) and Future Networks provides in-depth knowledge and experience in IoT and emerging challenges in data communication and collection. Students develop expertise in IoT systems engineering, mobile services, security, and machine learning, preparing them for careers in software development, network management, research, and consulting in the IoT industry. The program emphasizes hands-on experience through laboratory sessions and research group tutorials, and offers networking opportunities with industry leaders.
Program Outline
Degree Overview
This program aims to provide graduate-level students with in-depth knowledge and experience in the Internet of Things (IoT) and Future Networks. It focuses on understanding and addressing emerging challenges surrounding data communication and collection that the ubiquitous distribution of smart objects throughout modern cities, communities, and ecosystems presents. By analyzing how intelligent connected items and smart grids operate and evolve within and across industries, students graduate capable of effectively addressing future design needs across numerous industry applications.
Outline
Semester A:
- ECS714P - Embedded Systems (5 ECTS credits)
- ECS783P - Enabling Communications Technologies for IoT (5 ECTS credits)
- ECS781P - Cloud Computing
- ECS7020P - Principles of Machine Learning
Semester B:
- ECS725P - Mobile Services (5 ECTS credits)
- ECS726P - Security & Authentication (5 ECTS credits)
- ECS7031P - IoT Systems Engineering
- ECS7008P - Modelling & Performance
Semester C:
- ECS750P – Project (60 ECTS credits) - Students collaborate in a group setting under the supervision of experts in the research group. The project’s focus, scope, and subject must be within the bounds of the IoT or other pertinent domains, such as communications, signal processing, etc. All three components must adhere to strict academic ethical standards and be properly acknowledged.
Assessment
Each ECS-module will have the following weighting structure for marking:
- Coursework = 30%
- Exam = 70%
- Project = 100% Specific coursework weighting may be subject to modification. Students are assessed through assignments (individual or group presentations) and regular class tests.
Successful attainment of a pass at all levels of all assessments permits you to proceed as a student through levels 4, 5 and 6 (levels 5 and 6 are represented by Stages 2/3 respectively in your qualification title: MEng / BSc), in accordance with QMUL assessment regulations.
Teaching
The School of Electronic Engineering and Computer Science employs a variety of pedagogical methods across diverse course modules to impart knowledge regarding the IoT and connected technology applications to its graduate degree students. These may involve a combination of traditional lectures with guest speakers who are leading figures in relevant industries along with laboratory practical sessions to bolster hands-on experience. Moreover, research group-driven tutorials on relevant subjects may also contribute to your learning.
Careers
Graduate-level degree recipients in the IoT and Future Networks program possess the expertise to succeed in diverse sectors including software applications as developers at technology firms, network security, systems, or infrastructure management in IT positions, research roles in industry or academia, project management on engineering jobs at large or small enterprises, consulting as technology specialists in engineering firms, and as educators.
Other
Students of this program are encouraged to partake in networking events with prospective employers for career development opportunities. Some prominent participating entities have included Microsoft, Nokia, Intel, Samsung, Ericsson, Telefonica, and Vodafone. Other initiatives of note consist of alumni mentorship in collaborative professional partnerships and internship options. It should be noted that details, policies, and program structure in its entirety for any given academic term are those as specified in QMUL program documents from that same time period.
Home: £12,650 Overseas: £28,900 EU/EEA/Swiss studentsConditional depositHome: £2000Overseas: £2000Information about depositsPart-time studySeptember 2024 | 2 yearsHome: £6,350Overseas: £14,450EU/EEA/Swiss studentsThe course fee is charged per annum for 2 years.
Queen Mary University of London
Overview:
Queen Mary University of London is a public research university located in London, England. It is a member of the prestigious Russell Group of leading UK universities. Queen Mary is known for its strong research output, particularly in the fields of medicine, science, and humanities.
Services Offered:
Queen Mary offers a wide range of services to its students, including:
Accommodation:
Affordable accommodation options on or near the university's campuses in Mile End, Whitechapel, and Charterhouse Square.Careers and Enterprise:
Support for students in their career development, including job search assistance, internships, and networking opportunities.Library:
Extensive library resources, including books, journals, databases, and online resources.Student Life:
A vibrant student life with numerous clubs, societies, and events.International Student Support:
Dedicated support for international students, including visa advice, immigration guidance, and cultural integration programs.Student Life and Campus Experience:
Queen Mary provides a welcoming and inclusive environment for students from over 160 countries. Students can expect:
Global Community:
A diverse and international student body, fostering a rich cultural exchange.Campus Life:
A safe and secure campus environment with a range of facilities, including sports centers, cafes, and student spaces.London Advantage:
The opportunity to study in one of the world's most exciting and dynamic cities.Key Reasons to Study There:
Research Excellence:
Queen Mary is ranked highly for its research quality, offering students access to cutting-edge research and opportunities to work alongside leading academics.Diverse Academic Programs:
A wide range of undergraduate and postgraduate programs across various disciplines, including medicine, science, engineering, humanities, and social sciences.Global Reputation:
Queen Mary's strong reputation as a leading university attracts students and employers worldwide.London Location:
The university's location in London provides students with access to world-class cultural attractions, museums, theaters, and employment opportunities.Academic Programs:
Queen Mary offers a comprehensive range of academic programs, including:
Undergraduate Programs:
A wide variety of undergraduate degrees across various disciplines.Postgraduate Programs:
Taught and research postgraduate programs, including Master's degrees and PhDs.Online Programs:
Flexible online learning options for students who prefer distance learning.Other:
- Queen Mary is committed to sustainability and has implemented various initiatives to reduce its environmental impact.
- The university has a strong focus on equality, diversity, and inclusion, creating a welcoming and supportive environment for all students.
- Queen Mary has a rich history and is associated with several notable alumni, including Nobel laureates and prominent figures in various fields.
Entry Requirements
United Kingdom (UK) students
2:1 or above at undergraduate level
in Electronic Engineering, Computer Science, Mathematics or a related discipline.
International (non-UK) students
A 2:1 or above at undergraduate level
in Electronic Engineering, Computer Science, Mathematics or a related discipline.
Plus:
- An IELTS score of 6.5 overall, with at least 6.0 in Writing and 5.5 in Reading, Listening and Speaking.
- For students from China and other specified countries an IELTS score of 7.0 overall with at least 6.5 in Writing, Reading and Listening and 6.0 in Speaking.
- Some programmes may also require higher English proficiency.
- [MSc Artificial Intelligence](https://www.qmul.ac.uk/postgraduate/taught/computer-science/msc-artificial-intelligence/entry-requirements/index.html)
Specific requirements for certain countries:
China:
- First class degree or GPA 85-100
- IELTS 6.5 (minimum 5.5 in each component) or equivalent English language qualification
India:
- First class degree or GPA 85-100
- IELTS 6.5 (minimum 6.0 in each component) or equivalent English language qualification
Nigeria:
- First class degree or GPA 85-100
- IELTS 7.0 (minimum 6.5 in each component) or equivalent English language qualification
Pakistan:
- First class degree or GPA 85-100
Language Proficiency Requirements
- IELTS: 6.5 overall, with at least 6.0 in Writing, and 5.5 in Reading, Listening and Speaking.
- For students from China and other specified countries:
- IELTS 7.0 overall with at least 6.5 in Writing, Reading and Listening and 6.0 in Speaking.
- Some programmes may also require higher English proficiency.
- TOEFL: 92 overall, including 21 in Writing, 18 in Reading, 17 in Listening and 20 in Speaking.
- MSc Data Science and Artificial Intelligence requires 92 overall including 24 in Writing, 22 in Reading, 21 in Listening and 23 in Speaking.
- PTE Academic: 61 in Writing, and 59 in Reading, Listening and Speaking.
- MSc Data Science and Artificial Intelligence requires 71 overall including 71 in Writing, Reading, Listening and Speaking.
- Trinity ISE II: Distinction in Writing, Reading, Listening and Speaking
- Trinity ISE III: Pass in Writing, Reading, Listening and Speaking
- C2 Cambridge English: Proficiency (CPE): 176 overall, including 169 in Writing, and 162 in Reading, Listening and Speaking.
- MSc Data Science and Artificial Intelligence requires 176 overall including 176 in Writing, Reading, Listening and Speaking.
- C1 Cambridge English: Advanced (CAE): 176 overall, including 169 in Writing, and 162 in Reading, Listening and Speaking.
- A personal statement outlining your reasons for wanting to study this course.
- Two academic references.
- Copies of your academic transcripts and degree certificates (translated and certified if not in English).
Note:
This information applies to students starting in September 2024 and may be subject to change for future intake years. for the most up-to-date information.
