Telecommunication and Wireless Systems MSc
Overview
Join the next generation of network engineers. You will be able to pursue a career shaping and defining the new generation of converged networks, responding to the rapid developments in telecommunication systems, such as social networking, seamless mobility, mobile data and the proliferation of applications for mobile and handheld devices.
- Gain a background in the fundamental science, mathematics and key technologies that underpin global networking
- Study with international experts in the fields of converged all-IP networks with particular knowledge in modelling, measurements and QoE, in middleware and in wireless networking
- Work with the most up-to-date technologies - each topic is backed up by our world-leading research centres and groups
- Fulfil the educational requirements for registration as a Chartered Engineer, accredited by The Institution of Engineering and Technology (IET)
- You can choose to study this programme with an additional year of Industrial Experience to augment your practical skills
Campus Information
Mile End Campus
It contains the Faculty of Humanities and Social Sciences, the Faculty of Science and Engineering, the Queens' Building, the main college library, the student union, Draper's bar and club, several restaurants, a number of halls of residences and a gym. The educational and research sites of the Arts Research Centre, Computer Science, the large Engineering building, G.E. Fogg Building, Francis Bancroft Building, G. O. Jones Building, Joseph Priestley Building, Lock-keeper's Graduate Centre, and the Mathematical Science Building, are all located within the Mile End campus
Intakes
- Sep
Application Processing Time in Days: 25
Application Process
Minimum English Language Requirements
English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
---|---|---|---|---|---|
Expert | 9 | 120 | 297-300 | 86-90 | |
Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
Very Good | 8 | 110-114 | 270-280 | 79-83 | |
Good | 7.5 | 102-109 | 253-267 | 73-79 | |
Good | 7 | 94-101 | 240-253 | 65-73 | |
Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
Competent | 6 | 60-78 | 170-210 | 50-58 | |
Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
Modest | 5 | 35-45 | 107-133 | 36-43 | |
Limited | 4 | 32-34 | 97-103 | 30-36 | |
Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
Our postgraduates go on to work in a wide variety of careers, mostly within IT and information services, such as:
- Product manager
- Website evaluator
- Imbedded software engineer
- Network planner and coordinator
- Technology project manager
- Network and security engineer
- Data support engineer
- Senior systems engineer.
PSW Opportunity
- 2 Years PSW is applicable after the course completing (Bachelors level or above).
Admission Requirement / Eligibility Criteria
FOR INDIA
We normally consider the following qualifications for entry to our postgraduate taught programmes: Bachelor Degree (minimum 3 years) from selected institutions.
- UK 1st class degree: 70% to 80%
- UK 2:1 degree: 60% to 70%
- UK 2:2 degree: 50% to 60%
Offer conditions will vary depending on the institution you are applying from. For some institutions/degrees we will ask for different grades to above, so this is only a guide.
For India, offers may be made on the GPA scale.
We do not consider the Bachelor of Vocation (B. Voc.) for Masters entry.
English language requirements
- 6.5 overall including 6.0 in Writing, and 5.5 in Reading, Listening and Speaking.
For More Information Please Contact to Our Counselor.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
-
Total Tuition Fee:
23950 GBP
Annual Cost of Living: 12006 GBP
Application Fee: N/A
Similar Programs
- M.Sc Sustainable Energy Engineering at Queen Mary University of London
- Sustainable Energy Systems MSc at Queen Mary University of London
- MSc Mechanical Engineering at Queen Mary University of London
- M.Sc Machine Learning for Visual Data Analytics at Queen Mary University of London
- MSc in Internet of Things (Data) at Queen Mary University of London
- MSc in Internet of Things at Queen Mary University of London