Edinburgh Napier University, Edinburgh
School of Computing
Edinburgh Napier University, Edinburgh
School of Computing
12
Program Duration
Computational Science
Degree Type
180
Course Credits
Master of Advanced Security & Digital Forensics is one of the best courses to choose from that offers
in-depth learning in a Computational Science. An MS Degree in Computational Science from the
Edinburgh Napier University has consistently made its place among the top global universities.
International students prefer this course at the Edinburgh Napier University due to its high graduate
employability rate.
Edinburgh Napier University offers exceptional education quality, high-end practical learning
and ample work opportunities to its international students. After receiving their MS
Degree in Computational Science from the Edinburgh Napier University, students will be competent to
carry out extensive research work in the field.
The interactive curriculum, vast research opportunities and exceptional teaching
faculty at Edinburgh Napier University offer students a life-altering learning experience. A
Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Computational Science from the Edinburgh Napier University is
a great choice for students who want to analyse the field in great depth.
Why Study Advanced Security & Digital Forensics at Edinburgh Napier University
Official fee page
Annual tuition fees
£17,370 / year
Total tuition fees
£17,370 / 12 months
5000+ Students
Availed education loan
3000+ Cr
Loan amount sanctioned
100% Free
Assistance for loan process
Test Score Requirements
Minimum english score required
IELTS
6
TOEFL
80
PTE
56
Application Pre-requisites
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Yocketer profiles
Pritam Dash
MSc in Advanced Security & Digital Forensics
Spring 2023
Naganandini Mangadoddi
ShortlistedMSc in Advanced Security & Digital Forensics
Summer 2023
Solomon Deepu
ShortlistedMSc in Advanced Security & Digital Forensics
Fall 2022
Narendra Jamesbond
ShortlistedMSc in Advanced Security & Digital Forensics
Fall 2023
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