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Master of Science in Artificial Intelligence

Master of Science in Artificial Intelligence

at City, University of London United Kingdom

Overview

The benefits of this course are many and varied and will help progress your career.

You will focus on Deep Learning, developing adaptable artificial neural networks that replicate how the brain works.

As AI is transforming society you will explore the wider issues of ethics, accountability and trust that surround it and how ‘Explainable AI’ is used to interpret the functioning of adaptable artificial neural networks.

You will learn in the world-class, state-of-the-art City AI lab and have the latest computers, tools and technologies at your fingertips.

Who is this course for?

If you want to learn about AI as science, this course is perfect for you. You will learn how to apply deep learning and other groundbreaking AI methods to image recognition, sequence analysis, optimal control, creativity and cognitive modelling.

You will also gain an understanding of the ethical and legal challenges of AI and how to make AI explainable and fair.

You are required to have a degree in computer science, computational neuroscience, mathematics, computer engineering, or natural sciences.

You will need to have good programming skills, particularly in Python.

You’ll also need a good imagination, be creative and have a keen interest in learning in a collaborative environment where intellectual debate and teamwork are encouraged.

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30

Application Processing Days

Under Graduate

Program Level

Fact & Figures

Full Time On Campus

Study Mode

12

Duration

City, University of London

Location

Master of Science in Artificial Intelligence Assistant Fee

$20810

Tuition Fee

$0

Average Cost of Living

$0

Application Fee

Master of Science in Artificial Intelligence Admissions Requirements

  • Minimum Level of Education Required: To be accepted for this program, students must have a Bachelor's Degree.

     

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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

12

Duration

Study Visa

English Test Requirement

6.5

Minimum Overall Score

92.0

Minimum Overall Score

Other Courses by City, University of London,United Kingdom

This program will give you an in-depth insight into the technical workings, management and economics of the electrical power industry. Building on your undergraduate degree your MSc will give you the opportunity to pursue a variety of roles across the energy sector.

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This program has been designed to meet the industrial demand for the training and education of both existing and future engineers in the advanced concepts of sustainable electrical power and energy generation.

Your course aims to give you a broad insight into the design, regulation and management of power systems. You’ll learn about supply chain management, power electronics and energy management.

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The Engineering Systems course takes an interdisciplinary approach to complex systems and the analysis of interactions to enable the successful realization and use of engineered systems in industry and globally.

Over four years, you will develop the professional engineering skills required, with a focus on innovative and sustainable solutions to current and future problems in engineering systems.

Individual and group engineering design projects demonstrate your expertise to future employers and helps you transition from study to professional practice.

  • Students will be trained to understand and analyze the broader context in which the engineering system is used, integrating processes and information in a holistic way, dealing with the challenges of complex systems interactions
  • Benefit from exceptional industry involvement in the degree programme, taking advantage of the London location of City, including undertaking projects set by industry and guest lectures from practising engineers
  • Study in world leading research facilities where different engineering systems are designed, developed and implemented for industry today
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You are fascinated by the financial world and that complements your love and talent for mathematics, especially modelling and probability. You love solving problems and setting up, then challenging, hypotheses.

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Discover the different aspects of the financial world and in particular how assessing and managing risk is vital for success. To develop the skills you need to understand these ideas, you’ll take a mixture of financial, mathematical, statistical and actuarial modules. You will apply your new technical and analytical skills to solve a wide range of business problems.

In the first year your focus is on building a firm foundation in mathematics, statistics and economics as you begin to develop your understanding of financial risk.

In the second and third years you will broaden your understanding of the financial markets. This will include analysing the various types of financial instruments that are available, how they are valued and how they can be used to provide suitable solutions to financial problems involving risk and return.

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On this four-year integrated Computer Science MSci (Hons) master’s degree, you will develop a comprehensive overview of all areas of computing.

By exploring the diverse applications of computing science, you’ll keep your career options open and develop a broad portfolio of professional expertise.

You’ll become proficient in computing, coding, programming and problem-solving, as well as developing management and communication skills.

  • Develop systematic knowledge of computer science, with a focus on how software and programming can be used to solve real-world problems
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Who is this course for?

This course is for you if you want to gain advanced knowledge of the latest technological developments in mechanical engineering.

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Tuition

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View All Courses by City, University of London, United Kingdom

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