University of Bristol, Bristol
School of Computer Science, Electrical and Electronic Engineering, and Engineering Mathematics
University of Bristol, Bristol
School of Computer Science, Electrical and Electronic Engineering, and Engineering Mathematics
12
Program Duration
Communication General
Degree Type
180
Course Credits
Master of Wireless Communications and Signal Processing is one of the best courses to choose from that offers
in-depth learning in a Communication General. An MS Degree in Communication General from the
University of Bristol has consistently made its place among the top global universities.
International students prefer this course at the University of Bristol due to its high graduate
employability rate.
University of Bristol offers exceptional education quality, high-end practical learning
and ample work opportunities to its international students. After receiving their MS
Degree in Communication General from the University of Bristol, students will be competent to
carry out extensive research work in the field.
The interactive curriculum, vast research opportunities and exceptional teaching
faculty at University of Bristol offer students a life-altering learning experience. A
Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Communication General from the University of Bristol is
a great choice for students who want to analyse the field in great depth.
Why Study Wireless Communications and Signal Processing at University of Bristol
Official fee page
Annual tuition fees
£25,900 / year
Total tuition fees
£25,900 / 12 months
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Test Score Requirements
Minimum english score required
PTE
67
IELTS
6.5
TOEFL
85
Application Pre-requisites
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Yocketer profiles
Pancham L
MSc in Wireless Communications and Signal Processing
Fall 2025
Ananth Sai Reddy
MSc in Wireless Communications and Signal Processing
Fall 2021
Ninad Shende
ShortlistedMSc in Wireless Communications and Signal Processing
Fall 2023
Liam T
ShortlistedMSc in Wireless Communications and Signal Processing
Fall 2024
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