MSc Artificial Intelligence

Heriot-Watt University Edinburgh, Edinburgh, United Kingdom

Shortlist

# 351-400QS Subject Rankings

12 monthsProgram duration

24,496 GBPTuition Fee/year

YesScholarships

Shortlist

Program overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Overview

Our cutting-edge MSc in Artificial Intelligence at Heriot-Watt University aims to provide students with an in-depth understanding and practical skills to develop intelligent software and systems. With a focus on real-world applications, the programme covers key topics like machine learning, data mining, computer vision, natural language processing, robotics and more.

Students benefit from our world-class research in artificial intelligence and close industry partnerships. As the home of the National Robotarium, we offer unrivalled opportunities to gain hands-on experience with robotics and automation. Our specialist areas align with high-demand skills in AI, equipping graduates for careers in this exciting and rapidly-evolving field.

Enhancements for Your Success

Our enriched curriculum adopts a comprehensive approach to artificial intelligence education, equipping you with the essential technical skills, business insight, and effective communication abilities.

Rankings: We are Ranked 6th in Scotland for Computer Science by The Complete University Guide 2022
Employability Excellence: In designing our curriculum, we engaged with industry experts to understand precisely what employers seek in AI professionals. We've thoughtfully embedded these insights into our program to give you an distinct advantage during interviews and set you up for success right from your initial role.
Sharpen Your Proficiency in Vital Software Tools: In today's fiercely competitive job market, mastering essential software tools such as Python, TensorFlow, and machine learning libraries is imperative. We've significantly intensified our emphasis on these skills to ensure you are well-prepared to excel in real-world AI tasks and challenges.
Enhanced Course Synergy: We've thoughtfully streamlined the course structure to foster greater coherence, making it easier for you to discern the interconnectedness of different subject areas within artificial intelligence. This holistic understanding will empower you to tackle complex AI challenges with ease.
Access to Advanced Topics: As part of this comprehensive update, you'll gain access to a range of advanced subjects, including advanced machine learning, natural language processing, and computer vision. This expansion of your AI expertise will elevate your proficiency and prepare you to tackle the most challenging AI projects.

The National Robotarium

Located on Heriot-Watt University’s Edinburgh campus, in partnership with The University of Edinburgh, the National Robotarium creates innovative solutions to global challenges, working directly with industry to test and develop robotic, AI and automated technologies and rapidly move pioneering research from lab to market.

The National Robotarium fosters the teaching and development of the next generation of roboticists, producing highly-skilled graduates who are trained to conduct world-leading research with a market focus, and developing programmes to equip the current and future workforce with robotics, data and programming skills.

Our expertise

Heriot-Watt University boasts a distinguished history of over five decades dedicated to the research and teaching of Computer Science.
World-Leading Faculty: Our AI programmes are led by a distinguished faculty of world-leading experts who actively contribute to the advancement of the field. They consistently publish groundbreaking research in top AI conferences and journals, ensuring that our students learn from professors who are at the forefront of AI innovation.
State-of-the-Art Labs: To facilitate hands-on learning, we have created state-of-the-art labs based at the Robotarium as well as at the GRID; including the Games & Design studio and the universities first VR labs. These resources are instrumental in providing students with a practical, real-world experience when working with authentic datasets and AI models.

Customise your learning

In year one of the programme, you study foundational courses in artificial intelligence and machine learning, including modules on neural networks, probabilistic graphical models, reinforcement learning, and natural language processing. These provide a broad base of AI knowledge and skills.
In year two of the programme, you can specialise and customise based on your interests, choosing from optional courses in computer vision, speech recognition, robotics, AI planning, knowledge representation, and more advanced machine learning. Typically students select 3-4 of these advanced topics to study in depth.
In year three, you can take more advanced optional courses to continue specializing in your chosen field of AI. These modules cover state-of-the-art techniques and emerging research directions. You also complete a group project applying AI to develop a novel application or solve a complex real-world problem.
Finally, in year four you undertake an in-depth individual project.

In year one of the programme, you study foundational courses in artificial intelligence and machine learning, including modules on neural networks, probabilistic graphical models, reinforcement learning, and natural language processing. These provide a broad base of AI knowledge and skills.
In year two of the programme, you can specialise and customise based on your interests, choosing from optional courses in computer vision, speech recognition, robotics, AI planning, knowledge representation, and more advanced machine learning. Typically students select 3-4 of these advanced topics to study in depth.
In year three, you can take more advanced optional courses to continue specializing in your chosen field of AI. These modules cover state-of-the-art techniques and emerging research directions. You also complete a group project applying AI to develop a novel application or solve a complex real-world problem.
Finally, in year four you undertake an in-depth individual project.

Accreditation

Our MSc Artificial Intelligence programme is accredited by the British Computer Society.

Program overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Overview

Enhancements for Your Success

Rankings: We are Ranked 6th in Scotland for Computer Science by The Complete University Guide 2022
Employability Excellence: In designing our curriculum, we engaged with industry experts to understand precisely what employers seek in AI professionals. We've thoughtfully embedded these insights into our program to give you an distinct advantage during interviews and set you up for success right from your initial role.
Sharpen Your Proficiency in Vital Software Tools: In today's fiercely competitive job market, mastering essential software tools such as Python, TensorFlow, and machine learning libraries is imperative. We've significantly intensified our emphasis on these skills to ensure you are well-prepared to excel in real-world AI tasks and challenges.
Enhanced Course Synergy: We've thoughtfully streamlined the course structure to foster greater coherence, making it easier for you to discern the interconnectedness of different subject areas within artificial intelligence. This holistic understanding will empower you to tackle complex AI challenges with ease.
Access to Advanced Topics: As part of this comprehensive update, you'll gain access to a range of advanced subjects, including advanced machine learning, natural language processing, and computer vision. This expansion of your AI expertise will elevate your proficiency and prepare you to tackle the most challenging AI projects.

The National Robotarium

Our expertise

Heriot-Watt University boasts a distinguished history of over five decades dedicated to the research and teaching of Computer Science.
World-Leading Faculty: Our AI programmes are led by a distinguished faculty of world-leading experts who actively contribute to the advancement of the field. They consistently publish groundbreaking research in top AI conferences and journals, ensuring that our students learn from professors who are at the forefront of AI innovation.
State-of-the-Art Labs: To facilitate hands-on learning, we have created state-of-the-art labs based at the Robotarium as well as at the GRID; including the Games & Design studio and the universities first VR labs. These resources are instrumental in providing students with a practical, real-world experience when working with authentic datasets and AI models.

Customise your learning

In year one of the programme, you study foundational courses in artificial intelligence and machine learning, including modules on neural networks, probabilistic graphical models, reinforcement learning, and natural language processing. These provide a broad base of AI knowledge and skills.
In year two of the programme, you can specialise and customise based on your interests, choosing from optional courses in computer vision, speech recognition, robotics, AI planning, knowledge representation, and more advanced machine learning. Typically students select 3-4 of these advanced topics to study in depth.
In year three, you can take more advanced optional courses to continue specializing in your chosen field of AI. These modules cover state-of-the-art techniques and emerging research directions. You also complete a group project applying AI to develop a novel application or solve a complex real-world problem.
Finally, in year four you undertake an in-depth individual project.

In year one of the programme, you study foundational courses in artificial intelligence and machine learning, including modules on neural networks, probabilistic graphical models, reinforcement learning, and natural language processing. These provide a broad base of AI knowledge and skills.
In year two of the programme, you can specialise and customise based on your interests, choosing from optional courses in computer vision, speech recognition, robotics, AI planning, knowledge representation, and more advanced machine learning. Typically students select 3-4 of these advanced topics to study in depth.
In year three, you can take more advanced optional courses to continue specializing in your chosen field of AI. These modules cover state-of-the-art techniques and emerging research directions. You also complete a group project applying AI to develop a novel application or solve a complex real-world problem.
Finally, in year four you undertake an in-depth individual project.

Accreditation

Our MSc Artificial Intelligence programme is accredited by the British Computer Society.

Admission Requirements

IELTS

6.5+

A minimum of a 2:2 honours degree or non-UK equivalent with evidence of understanding subjects such as design, creative digital skills, or computing and programming skills.

In addition, work or project experience in a related company role will be taken into consideration, please include your CV as part of your application.

Program Duration

1 Year

Starting Month(s)

Sep

Starting Month(s)

Jan

Tuition Fee and Scholarships

Domestic Students

Tuition Fee/year

10,600 GBP

Tuition Fee (Out of State)

International Students

Tuition Fee/year

24,496 GBP

Other Expenses

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:

Where to look for scholarship opportunities

How to apply to scholarships relevant to you

A list of available scholarships around the world

A scholarship application checklist

Download Scholarship Guide

Heriot-Watt University Edinburgh, Edinburgh, United Kingdom

# 351-400QS Subject Rankings

12 monthsProgram duration

24,496 GBPTuition Fee/year

YesScholarships

Program overview

Main Subject

Degree

Study Level

Study Mode

Program overview

Main Subject

Degree

Study Level

Study Mode

Admission Requirements

Exam Scores

Important Dates

Tuition Fee and Scholarships

Tuition Fee

Domestic Students

International Students

Scholarships

In this guide you will find:

QS WUR Ranking By Subject

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