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Master of Science (Hons) in Computer Science with Cyber Security with Placement Year

Master of Science (Hons) in Computer Science with Cyber Security with Placement Year

at City, University of London United Kingdom

Overview

On this four-year degree, you will develop a firm foundation in technical computing, before specialising in cyber security.

You’ll learn how software and systems work, developing practical skills in analysis, design and programming. Later, you’ll move on to topics such as cryptography, cyber crime, sociotechnical risks and digital forensics.

You’ll become ethical hackers, identifying flaws in computing devices and networks, and tracing attacks while auditing systems.

You will study at master’s level in your fourth year, learning alongside our internationally renowned researchers at the cutting edge of the subject.

  • Become proficient in a broad range of programming languages and cutting-edge games programming techniques
  • Boost your professional credibility, employability and earning potential with a degree that satisfies the academic requirements for CEng status
  • Gain practical work experience with an optional one-year work placement: past students have worked for Accenture, Deloitte, HP, IBM and Xerox
  • Study in City’s computing labs, which include the latest hardware and software, such as state-of-art NVidia GPUs
  • Gain three years of professional experience with our innovative Professional Pathway Scheme, combining paid employment and study.
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30

Application Processing Days

Under Graduate

Program Level

Fact & Figures

Full Time On Campus

Study Mode

60

Duration

City, University of London

Location

Master of Science (Hons) in Computer Science with Cyber Security with Placement Year Assistant Fee

$18210

Tuition Fee

$0

Average Cost of Living

$0

Application Fee

Master of Science (Hons) in Computer Science with Cyber Security with Placement Year Admissions Requirements

  • Minimum Level of Education Required: To be accepted for this program, students must have Standard XII Higher Secondary Certificate.
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Where would you like to study*

Work Permit United Kingdom

There are various options through which a student can get a post study work visa in the UK. 
Tier 1 Graduate Entrepreneur Visa for the graduates with a genuine and credible business idea. 
Tier 2 (General) is the leading immigration visa to work in the UK.
Tier 4 Doctorate Extension Scheme is for students who have completed their Ph.D. and is valid for 12 months for them to work, look for work or set up a business. 
Tier 5 Youth Mobility is for individuals of certain countries like Australia, Canada, Japan, Monaco, Hong Kong, South Korea, Taiwan, and New Zealand aged between 18 -30 who wish to move to the UK. 
Tier 5 GAE is for individuals who want to come to the UK for work experience, training, research or a fellowship. 
UK Ancestry is for individuals who are a citizen of a commonwealth and plan to work in the UK and have a grandparent who was born in the UK.
 

Detailed Program and Facts

30

Application Processing Days

Full Time On Campus

Program Intensity

Under Graduate

Program Level

60

Duration

Study Visa

English Test Requirement

6.0

Minimum Overall Score

6.0

Minimum Listening

6.0

Minimum Reading

6.0

Minimum Writing

6.0

Minimum Speaking

59.0

Minimum Overall Score

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Whether you are managing an investment portfolio, encrypting financial transactions or constructing a machine-learning algorithm to identify hidden patterns in your customer database you will likely be doing it through a combination of Mathematics and Data Science methods.

The Mathematics with Data Science BSc opens doors to the widest range of careers, because virtually all industries need graduates with skills in these disciplines. The confidence and knowledge you gain at City will open doors to a rewarding and satisfying career.

  • Understand the universal nature of mathematics as a discipline that knows no borders or language barriers
  • Master a wide range of mathematical and data science topics and techniques, such as calculus, probability and machine learning
  • Learn to implement sophisticated algorithms, data mining techniques artificial intelligence with real world applications
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