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Masters in Artificial Intelligence
Artificial Intelligence (AI) is the field of computer science that focuses on the development of intelligent machines that are capable of performing tasks that traditionally require human intelligence. It is a transformative and interdisciplinary field of study with the purpose of creating systems that can emulate human intelligence and maybe even surpass it.
Machines are able to learn for themselves through algorithms and models that enable them to analyse data, recognise patterns, make decisions and improve their performance over time and repetition. The concept of AI has evolved over the years, and it encompasses a wide range of technologies, techniques and applications.
AI is used across many different industries, such as finance, healthcare, manufacturing and education – and it can make the running and efficiency of these industries vastly improved. However, it also raises some ethical considerations for example taking jobs away from the human workforce.
Masters in Artificial IntelligenceReasons to study a Masters in Artificial Intelligence
Today’s world is defined by rapid technological advancements and the field of AI stands at the forefront of innovation. While AI continues to transform industries and change the way we live and work, the demand for skilled professionals has never been higher, and pursuing a masters degree in artificial intelligence can offer numerous benefits and opportunities.
Here are five reasons to consider studying AI at postgraduate level.
AI professionals are in high demand – the demand for skilled AI professionals has surged across industries, ranging from healthcare and finance to manufacturing and entertainment. Organisations are actively seeking individuals with advanced expertise in AI to develop innovative solutions, optimise processes and drive business growth. A masters degree in AI will make you a highly sought-after candidate in the current job market, opening doors to lucrative career opportunities with leading tech companies and cutting-edge research institutions.
Participate in groundbreaking research – AI is a rapidly evolving field that relies on research and development to push the boundaries. Pursuing a masters in this field allows students to engage in groundbreaking research projects, contributing to the development of new algorithms, models and applications.
Specialisation – a masters degree AI enables students to specialise in specific areas such as machine learning, natural language processing, computer vision and robotics. This specialised knowledge will give students a profound understanding of AI so they can become experts in their chosen field.
Make a global impact – ethical considerations and responsible AI practices have become critical, and a masters in AI will prepare graduates to navigate complex moral dilemmas and make informed decisions about AI. This will enable them to contribute to shaping policies and practices that ensure the responsible deployment of AI technologies across the world.
Interdisciplinary learning – AI intersects with various fields including computer science, mathematics, neuroscience and even the social sciences. This masters program provides students with a holistic education, encouraging interdisciplinary learning and collaboration.
Studying a masters degree in artificial intelligence is a strategic investment in a fulfilling and dynamic future career, while offering specialised knowledge, groundbreaking research opportunities, versatile, interdisciplinary learning and the chance to make a global impact on ethical considerations.
Subsets of Artificial Intelligence
Machine Learning (ML) focuses on developing algorithms and models that enable machines to learn from data and to make predictions and decisions without being explicitly programmed. Common approaches within ML include supervised learning, unsupervised learning and reinforcement learning.
Computer Vision enables machines to make decisions based on visual data. Applications include image recognition, object detection, facial recognition and autonomous vehicles.
Natural Language Processing (NLP) is the interaction between computers and human language. NLP enables machines to understand, interpret and generate human language, facilitating tasks such as language translation, sentiment analysis and chatbot interactions.
Robotics combines AI with physical systems to create machines capable of interacting with the physical world. Robotic systems use sensors, actuators and AI algorithms to perform tasks ranging from assembly line operations to surgical procedures.
Expert Systems emulate human expertise in specific domains by capturing the knowledge of human experts and using rule-based reasoning to solve complex problems.
Where can you study a masters in AI?
There are many highly ranked universities that offer masters courses in artificial intelligence.
UK courses in AI
Five of the most lauded courses in the UK are:
MSc in Artificial Intelligence at Imperial College London
This masters program gives students the technical skills to work in AI and machine learning. Study modules include Python Programming, Introduction to Symbolic Artificial Intelligence and a Software Engineering Group Project.
MSc in Artificial Intelligence – University of Edinburgh
This course can be studied full time or part time, and modules include topics such as Probabilistic Modelling and Reasoning, Automatic Speech Recognition, and Reinforcement Learning.
MSc in Artificial Intelligence – King's College London
The aim of the MSc in Artificial Intelligence is to develop students’ knowledge of how to build, design and evaluate intelligent systems. Optional study modules include Data Mining, Computer Vision and Nature-Inspired Learning Algorithms
MSc in Artificial Intelligence – University of Manchester
In this full-time course the study modules include Text Mining, Foundations of Machine Learning, Data Engineering, Cyber Security and Cryptography.
MSc in Artificial Intelligence – University of St Andrews
Modules of study on this MSc program include Artificial Intelligence Practice and Principles, Object Oriented Modelling, Design and Programming, and Machine Learning.
You can find out more about top AI masters degrees taught at universities in the United Kingdom in our Top 10 Artificial Intelligence Masters Degree Courses In the UK blog.
European & US courses in AI
AI can also be studied at postgraduate level at university across Europe, the United States and the world. Popular courses outside of the UK include:
Master of Artificial Intelligence at KU Leuven in Belgium
This MSc course is taught in English over one year. It offers students a multidisciplinary approach and study modules include Machine Learning, Data Mining, Big Data, Computer Vision and Bio-Informatics.
MSc in Machine Learning, Data Science and Artificial Intelligence in Finland
This is a data-intensive course explores how AI can be used to find new solutions to tackle some of the world’s most pressing current issues, such as climate change or understanding epidemics.
MS in Artificial Intelligence at Northwestern University in the USA
This masters degree teaches students both theory and practice of AI in an interdisciplinary program that focuses on the psychological and design implications of human interactions and artificial intelligence. It takes a minimum of 15 months to complete.
Career opportunities for graduates of AI
There are many excellent career opportunities open to graduates of an MSc in AI or in related subjects, and expected salaries are often in the region of £60,000 to £100,000+ per year. Let’s take a look at some of the careers an AI graduate could go into.
|
Career |
Job Description |
|
Researcher |
Researching the field of computer science and ways to advance AI technologies. |
|
Big Data Analyst |
Using data to find patterns and make forecasts about the future |
|
User Experience Developer |
Explore how people use technology and how computer scientists can use that knowledge to create more sophisticated software. |
|
Natural Language Processing Engineer |
Investigate the relationship between spoken language and computer systems, including chatbot and virtual assistant projects. |
|
Software Engineer / Programmer |
Create applications that use AI tools. |
|
Machine Learning Engineer |
Designing, developing and maintaining Machine Learning software systems. |
|
Robotics Engineer |
Create, assemble and test robotic systems. |
In addition to these computer and technology-related careers, AI graduates can also find fulfilling employment in healthcare, education, finance and other dynamic fields.
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