You’ve probably heard the term “artificial intelligence” before. You may even know someone who’s pursuing a degree in the subject. But what is artificial intelligence, exactly? This site offers you apt knowledge on the Best Universities For Artificial Intelligence In The World, best country to study artificial intelligence, best universities for artificial intelligence in europe, msc artificial intelligence and university of edinburgh artificial intelligence.

Artificial intelligence (AI) is the study of how to get computers to mimic human behavior—and it’s been one of the most sought-after degree courses across the world for decades now. That’s because AI has contributed greatly to the creation of some of today’s most successful technology companies. Many of them hire A.I graduates as top programmers and innovators. Read on to know more about Best Universities For Artificial Intelligence In The World, best country to study artificial intelligence, best universities for artificial intelligence in europe, msc artificial intelligence and university of edinburgh artificial intelligence.

If you’re thinking about getting your degree in artificial intelligence, you’ll be happy to know that there are many options available to you: whether you’d like to stay close to home or are looking for artificial intelligence study abroad opportunities, there are plenty of great schools out there. One way that you can narrow down your choices is by considering the nature of their curriculum, as well as what courses they offer on artificial intelligence.

The world of artificial intelligence is growing exponentially, with professionals in this field enjoying increasing salaries and advancements in the software that is available to them. Exponential growth within AI has happened at an incredibly fast pace, with many experts saying that it will continue to grow at an alarming rate. AI has advanced so much that you can now see it incorporated into devices such as smartphones. With this growth, there are now ten specific countries where you can expect to find the best learning environment for artificial intelligence. These countries are at the forefront of AI research and development, ensuring that students receive the best possible education.

Best Universities For Artificial Intelligence In The World

We begin with Best Universities For Artificial Intelligence In The World, then best country to study artificial intelligence, best universities for artificial intelligence in europe, msc artificial intelligence and university of edinburgh artificial intelligence.

The Best Artificial Intelligence Colleges

1.Carnegie Mellon University

School of Computer Science

Pittsburgh, Pennsylvania

The School of Computer Science has a groundbreaking program in Artificial Intelligence. It was the first to offer a Bachelor’s degree in Artificial Intelligence in the U.S. (starting in 2018).

CMU offers two Artificial Intelligence Degrees:

• Bachelor of Science in Artificial Intelligence (BSAI)
• Master of Science in Artificial Intelligence and Innovation (MSAII)

The Bachelor of Science in Artificial Intelligence (BSAI)is interdisciplinary. Instructors are from various departments and institutes. These include:

• Computer Science Department
• Human-Computer Interaction Institute
• Institute for Software Research
• Language Technologies Institute
• Machine Learning Department
• Robotics Institute

Students must take:

• Math and Statistic Core (6 classes)
• Computer Science Core (6 classes)
• Ethics Elective (1 class)
• Artificial Intelligence Core (4 classes)
• AI Cluster Electives (4 classes)
• Humanities and Arts (7 classes)
• Science and Engineering (4 classes)

The Master of Science in Artificial Intelligence and Innovation (MSAII) is offered through the Language Technologies Institute. It is a interdisciplinary program. Instructors are from various departments, including:

• School of Computer Science
• Computer Science Department
• Machine Learning Department
• Institute for Software Research

Students must take these courses:

• 192 eligible units of study
• 84 units of Core Curriculum (including a 36-unit Capstone)
• 72 units of Knowledge Requirements
• 36 units of approved Electives

Professor Tuomas Sandholm and Ph.D. student Noam Brown developed the Libratus program. This program has beaten professional No Limit Texas Hold ‘Em poker players. Many students take part in the DARPA Robotics Challenge.

2.Stanford University

Stanford, California

Stanford University has established itself as a world leading teaching and research institution. The Stanford Artificial Intelligence Laboratory (SAIL) has been studying and researching Artificial Intelligence since 1962. SAIL offers courses, hosts events and manages outreaches to schools.

Degree in Artificial Intelligence:

• Graduate Certificate in Artificial Intelligence

The Graduate Certificate in Artificial Intelligence is in the School of Engineering. The Graduate Certificate has one required course, and three required electives. The Certificate is 13 to 15 units.

Required Course:

• Artificial Intelligence: Principles and Techniques

Some of the Electives:

• Decision Making Under Uncertainty
• Computational Logic
• Introduction to Robotics
• Natural Language Processing with Deep Learning

Students have a maximum of three years to complete the Certificate.

Stanford also offers a Bachelor of Science in Computer Science, which includes courses on AI.

3.Massachusetts Institute of Technology

Cambridge, Massachusetts

MIT was founded in 1861 in response to the growing industrial needs of America. As a result, the majority of programs offered at MIT are technology based. Many are related to the study of Artificial Intelligence.

In 1959 the Artificial Intelligence Laboratory began its own research and experimentation. In 1963 the Laboratory for Computer Science was opened. As the projects became more interconnected, the two labs merged in 2003.

The result was the Computer Science and Artificial Intelligence Laboratory. This is the largest and most prominent of the MIT laboratories.

Degree in AI:

• Bachelor of Science in Computer Science with Artificial Intelligence research and course work opportunities

Currently there are more than 100 senior researchers and faculty members representing eight academic departments. There are more than 50 research groups and hundreds of projects.

Other participants include 40 postdoctoral fellows and associates, 350 graduate students, and approximately 50 undergraduate students.

In total there are over 1,000 members of the Computer Science and Artificial Intelligence Laboratory. All research and experimentation falls under three categories: Artificial Intelligence, Systems, and Theory.

Related Course in AI:

• Artificial Intelligence: Implications for Business Strategy (self-paced online)

Offered through the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). This is an online collaborative program that’s handled through GetSmarter. This course program teaches the business aspects of how to capitalize on and manage Artificial Intelligence applications. It is not a course for learning the technical aspects of AI.

best country to study artificial intelligence

Next, best country to study artificial intelligence, best universities for artificial intelligence in europe, msc artificial intelligence and university of edinburgh artificial intelligence.

Master Artificial Intelligence (MSc)

IU International University of Applied Sciences – Online

Bad Honnef, Germany

Robots, self-propelled cars and autonomous systems are increasingly becoming an important part of our future. The IU Online Master Artificial Intelligence prepares you for an exciting career in which innovations with artificial intelligence can make things happen, that seemed impossible only a few years ago. Graduates of the course can work as AI-specialists, AI-designers or other professions in this industry, to work on the latest technologies in a forward-looking way. With IU, you can study from the comfort of your home,100% online.

Introduction

Your degree, your way:

We design our programmes and courses to be as flexible and innovative as possible—without sacrificing quality. We deliver specialist expertise and innovative learning materials as well as focusing on excellent student services and professional advice. Our programmes are characterised by the effective transfer of subject-specific knowledge and soft skills in order to prepare graduates for the international business world. Our distance learning materials allow you to gain an accredited degree from wherever you are and work around your job or personal commitments.

Why IU?

• #1 University in Europe: Join Europe’s largest private university with more than 85,000 students
• Digital, Flexible, 100% online: We offer outstanding, innovative digital learning materials and a great online environment for success in your studies wherever you are with online exams 24/7.
• Fully Accredited Degree: All our degrees benefit from German state accreditation and are internationally recognized in major jurisdictions such as the EU, US and UK
• Study at a 5-star rated University from QS: IU is the first German university that achieved a 5-star rating for Online Learning from QS
• International Focus, Practical Orientation: We focus on practical training and an international outlook which gives IU graduates a decisive advantage: 94% of our graduates have a job within six months of graduation and, after an average of two years on the job, 80% move into management. Plus, we work closely with big companies such as Lufthansa, Sixt, and EY to give you great opportunities and insights.
• Scholarships available: Depending on your situation, motivation, and background, we offer scholarships that can reduce your tuition fees by up to 80%.

Your path into the future

Intelligent assistants, autonomous robots, self-driving cars – almost daily we can read about new spectacular successes of artificial intelligence-based systems achieving what was considered impossible just a few years ago. Innovation springs from bright minds – our international Master programme in Artificial Intelligence prepares you for an exciting career making the future happen now.

Graduates from our courses go to become AI Specialists building the next generation of intelligent systems, team-leaders of successful AI project teams, or AI designers working on the interplay of human and artificial intelligence.

A short overview of your study

• Degree: Master of Science (MSc)
• Credits: 120 ECTS or 60 ECTS.
• Study duration: Standard period of study: 12 months (60 ECTS) or 24 months (120 ECTS). Different time models possible.
• Study model: Online study including online exams 24/7
• Fees: starting from 98 euros per month, depending on study duration. Scholarships are not available to students from Germany, Austria, and Switzerland at the current time.

Admissions

60 ECTSAcademic Requirements:Completed degree from a public or officially recognised university/higher education institution in a relevant field. At least a “satisfactory” or Grade C equivalent earned in your previous degree.Your undergraduate degree should be worth 240 ECTS credits.  Professional Experience:For some 60-ECTS master programmes, you will need to have achieved one year of professional work experience before starting your studies.  English Level:Proof of English skills:TOEFL (minimum 80 points) or IELTS (minimum Level 6.0 out of 9 points) or Duolingo English test (minimum 95 points) or Cambridge Certificate (minimum B grade overall) or Speexx B2.2 Certificate (complimentary when signing up with IU – free of charge) orEquivalent proofIf English is your native language or you graduated from an English-speaking school/university, you do not have to prove your English skills.

120 ECTSAcademic Requirements:Completed degree from a public or officially recognised university/higher education institution in a relevant field. At least a “satisfactory” or Grade C equivalent earned in your previous degree.Your undergraduate degree should be worth 180 ECTS credits.  English Level:Proof of English skills:TOEFL (minimum 80 points) or IELTS (minimum Level 6.0 out of 9 points) or Duolingo English test (minimum 95 points) or Cambridge Certificate (minimum B grade overall) or Speexx B2.2 Certificate (complimentary when signing up with IU – free of charge) orEquivalent proofIf English is your native language or you graduated from an English-speaking school/university, you do not have to prove your English skills.

Additional Requirements

To study the 60 ECTS version of this degree, you will need to have taken courses “Programming with Python” and “Advanced Mathematics” or demonstrate equivalent knowledge such as through work experience. You can take these courses online with us for free.

Curriculum

Find the best programme for your needs and career goals: at IU we offer four different master’s programmes specializing in Artificial Intelligence:

• Artificial Intelligence (60 ECTS)
• Artificial Intelligence for Robotics (60 ECTS)
• Artificial Intelligence for Autonomous Vehicles (60 ECTS)
• Artificial Intelligence (120 ECTS)

Within our two-semester Master programmes, you receive your Master’s degree after just one year!

1st semester	2nd semester
Artificial IntelligenceAdvanced MathematicsUse Case and EvaluationSeminar: AI and SocietyAdvanced StatisticsProject: AI Use Case	Programming with PythonMachine LearningDeep LearningNLP and Computer VisionElectives A (Selection of one module)
3rd semester	4th semester
Inference and CausalityReinforcement LearningSoftware Engineering for Data-Intensive SciencesSeminar: Current Topics in AIElectives B (Selection of one course)	Master Thesis & Colloquium

Program Outcome

Two Degrees, Double the Advantage

 IU International University of Applied Sciences (IU) has partnered with London South Bank University to give you the chance to have your degree validated by two institutions. When you choose this option, you’ll graduate from IU with both a German degree and a British degree, giving you a major career boost! This opportunity comes with no extra study courses or travelling. 

Program Tuition Fees

Master (60 ECTS):

Time model	Study model	Monthly payments	Total fees
Full time –12 months	60 ECTS	199 Euro*	2.388 Euro*
Part-time – 18 months	60 ECTS	155 Euro*	2.790 Euro*
Extended – 24 months	60 ECTS	121 Euro*	2.904 Euro*

Master (120 ECTS):

Time model	Study model	Monthly payments	Total fees
Full time – 24 months	120 ECTS	150 Euro*	3.600 Euro*
Part-time – 36 months	120 ECTS	111 Euro*	3.996 Euro*
Extended – 48 months	120 ECTS	98 Euro*	4.704 Euro*

*IU International – Online Scholarship Initiative: Save up to 80% for your Online Studies!

best universities for artificial intelligence in europe

Now we consider best universities for artificial intelligence in europe, msc artificial intelligence and university of edinburgh artificial intelligence.

Online MSc in Artificial Intelligence

University of Bath Online

Bath, United Kingdom

This online MSc in Artificial Intelligence is ideal if you are motivated by the challenges and infinite possibilities of advancing AI. It is designed to give professionals from computer science – as well as a host of other disciplines – the opportunity to specialise in AI and meet the increasing demand for experts in this exciting, future-focused and rapidly growing specialism.

MSc Data Science, AI & Digital Business

GISMA University of Applied Science

Berlin, Germany

This unique combination of technology and business will help you keep a competitive advantage in the job market and advance into a future-oriented career in a global company or innovative start-up. Study the MSc in Data Science, AI, and Digital Business to be prepared for this change Become an expert in data science and AI by mastering machine learning, big data analytics, methods of prediction, and leadership of virtual teams. This program also covers general business skills such as project and innovation management, which will boost your employability.

MSc Artificial Intelligence

University of Liverpool Online Programmes

Liverpool, United Kingdom

Expand the horizons of intelligent systems and develop your skills in the rapidly growing sector of computer science with this part-time, fully online Artificial Intelligence MSc from the University of Liverpool. 

MSc in Artificial Intelligence

University of Groningen

Groningen, Netherlands

Be part of a program with excellent reviews! Awarded ‘Top Rated Program’ label (Higher Education Guide 2017), and awarded best master’s degree program AI in the Netherlands according to Elsevier, the MSc in Artificial Intelligence offers challenging graduation projects for the students. Also, our faculty is the home of the 2016 Nobel Prize Winner in Chemistry, Ben Feringa, and the Nobel Prize winner in Physics, Frits Zernike.

msc artificial intelligence

MSc Artificial Intelligence is a 2-year postgraduate course which is designed to teach the students the basics and applications of Artificial Intelligence. 

The main objective of this course is to ensure that students will have a solid understanding of the fundamentals of Artificial Intelligence as well as Machine Learning in theory and practice. 

This course covers various areas related to machine learning and probabilistic reasoning. In addition, students will also be taught natural language and computer vision so that the students get themselves familiarized with the science that makes use of machines able to execute tasks that require human intelligence. 

Students who have completed their Graduation, preferably in Computer Stream, with a score minimum of 50% aggregate are eligible to apply to this course. 

Admission to this course will be done either on the basis of the candidate’s performance in the entrance test or based on merit in the Bachelor’s degree examination. 

Students who have completed MSc in Artificial Intelligence program have career opportunities in both Public and Private sectors where they can work as a Big Data Engineer, User Experience Specialist, Game Programmer, Machine Learner, etc.

An average annual salary around INR 3,50,000 – 5,00,000 can be expected after completing this course. The average course fees would usually range between INR 13,000 to 2,00,000.

Highlights for MSc Artificial Intelligence program are provided in the table given below:

Course Level	Post Graduate
Full Form	Master of Science in Artificial Intelligence
Duration	2 years
Examination Type	Semester
Eligibility	Bachelor’s degree in Computer Science or equivalent with an aggregate of at least 50% marks.
Admission process	Entrance based
Average Course fees	From INR 13,000- 2,00,000
Average Salary	INR 5,00,000
Top Recruiting Areas	Data Analytics, Gaming, Industries that are turning towards digitalization, Manufacturing Sector etc.
Job position	Auditor, Computer Programmer, App Developer etc.

Information and details about the MSc Artificial Intelligence course are as follows.

• The M.Sc. in Artificial Intelligence is a degree which teaches the students the basics and applications of Artificial Intelligence.
• This course is perfect for those students who are passionate about Mathematics, Computer Programming Languages and have a strong analytical mindset. 
• The curriculum taught is modern and innovative which gives students a much broader outlook on how the AI functions.
• It is a branch of Computer Science that aims to develop intelligent computer machines. 
• This course basically focuses on building a broad grasp upon basics of Computer Science, deep understanding of the area of specialization, an innovative ability to solve new problems and a capacity to learn continually and interact with trans-disciplinary groups.

Why Study MSc Artificial Intelligence? 

The goal to pursue an MSc Artificial Intelligence degree course will depend on each individual’s aspirations and goals. Some of the reasons to pursue this course are as follows: 

• Prestigious Job Profile: The demand for Artificial Intelligence students is increasing day by day. Any student with the passion to excel in the field will succeed for sure. Students holding a degree in this course are assumed to have advanced skills in understanding technology and its functions. 
• High pay: Average salary for MSc Artificial Intelligence postgraduates are on the higher side for both private and public organizations. After completing this course, students can work as a Big Data Engineer, User Experience, Specialist, Game Programmer, Machine Learner etc. 
• Career opportunities: Artificial Intelligence postgraduates will be able to pursue a diverse array of career opportunities. There is no limit to educational programs one can choose. From Research Courses, Management to Competitive Exams to get employed in Govt. Organizations, one can have a variety of options to choose from. 
• After completing this course, one can work in the field of Data Analytics, Gaming, Industries that are turning towards digitalization, manufacturing sector etc.

What is the MSc Artificial Intelligence Admission Process?

The admission procedure to enrol in MSc Artificial Intelligence in an Indian university can vary as per the university rules and regulations. Some universities grant admission to students in this course based on merit. However, there are a few universities or institutes which prefer conducting entrance exams to grant admission to qualified candidates. 

The admission procedures followed in the Indian universities for admission to MSc Artificial Intelligence course are given below.

Merit-based admission

In merit-based admission, the universities offering MSc Artificial Intelligence course grant admission to students based on their marks obtained in the graduation level.

Entrance-Based Admission

The steps of the entrance-based admission are provided below: 

• Step 1: Online Registration: Students are required to register for the entrance test by providing their email address, mobile number and password after which a login id will be generated. 
• Step 2: Filling up the application form: After creating the login id, candidates have to fill up the online application form by providing their personal and academic details and enter the details of the course which you are opting for. 
• Step 3: Uploading of documents: In this step, candidates have to upload the necessary documents such as photograph, signature, id proof, Class 10 and 12 certificates, etc. 
• Step 4: Application Fee: On uploading the requisite documents, students have to pay the requisite amount of application fee using Credit Card, Debit Card or Net Banking. 
• Step 5: Download Application Form: After paying the application fee, candidates have to save and download the form for future references. 
• Step 6: Issuing of Admit Card: Based on the record of the details submitted by the students, the admission authority will issue the admit cards to the eligible students.
• Step 7: Entrance Examination: After getting the admit card, exam dates will be released by different conducting bodies. Candidates have to sit for the entrance test and qualify the same to get admission. 
• Step 8: Declaration of Result: In the final stage, admission authorities will release the results of the entrance test they have appeared for.

What is the MSc Artificial Intelligence Eligibility Criteria?

The eligibility criteria for MSc Artificial Intelligence aspirants is not complicated and is as follows. It must be noted that the eligibility criteria will differ from institute to institute.

• Candidates must hold a Bachelor’s degree preferably in Computer Science from a recognized university.
• The qualifying aggregate score required in Bachelor’s degree examination is at least 50% and above.

Which are the popular MSc Artificial Intelligence Entrance Exams?

Only a few colleges offer this course in India. The mode of exams can be online or offline depending upon the colleges.

How to prepare for MSc Artificial Intelligence entrance examinations? (h4)

To help candidates prepare better and efficiently for the entrance examinations, the following pointers can be referred to.

• Prepare a timetable for studying. Include each topic in every subject and stick to the timetable. This will ensure the entire syllabus is covered at least once. Allocate time daily to studies.
• Clear up the basics. The basics will form the base for the more advanced chapters later on. A strong understanding of the basics will be useful.
• Allocate time separately for the more difficult topics. If needed, approach a teacher or a tutor to help go over the topics again.
• Read trending topics in Artificial Intelligence regularly. 
• Solve as many mock papers as you can in order to score well in the entrance exam. 

How to get admission in a good MSc Artificial Intelligence college?

To secure admission into a good MSc Artificial Intelligence college, a number of factors come into play. Some of the following tips will be helpful in that regard. 

• Check out the top colleges in the area that you want to study
• Narrow down the colleges based on your criteria like fees, ease of access, geographical location etc.
• Visit the college websites and read the eligibility and admission process. 
• Follow the instructions given by the colleges to the dot.
• Keep a track of all the news updates of the colleges that you want to apply to. In case of doubt, call the management and get updated information.
• Solve the previous years’ question papers
• Talk to alumni from those colleges to get a clear idea on what to do.

What is the Syllabus of MSc Artificial Intelligence?

The subjects taught for the MSc Artificial Intelligence program are almost similar in most of the colleges. However, there might be some changes in the syllabus depending from college to college. The syllabus for the entire MSc Artificial Intelligence course is as follows.

Semester 1	Semester 2
Computer Architecture and Organization	Operating System
Problem Solving and Programming in C	Computer Networking
Data Structure and Algorithm	Database Management System
Machine Learning	Object Oriented Programming
Mathematics for Machine Learning	Elective I
Programming Lab	Mini Project I
Semester 3	Semester 4
Soft Computing	Research/ Internship
Internet Technologies	List of Electives (Semester 2)
Mini Project II	Data Analytics
Elective II	Digital Image Processing
Elective III	Artificial Intelligence
Elective IV	List of Electives (Semester 3)
–	Language Technologies and Information Retrieval
Advanced Data Analytics
Pattern Recognition
Big Data Technologies
AI and Knowledge Representation
Medical Imaging
Object Oriented Analysis and Design
Embedded Systems

 Which Books Can I Refer to While Pursuing MSc Artificial Intelligence course? 

Some of the important MSc Artificial Intelligence subject books that can help students to have a broader and better understanding of the course are provided in the table given below:  

Name of the Book	Author
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World	Pedro Domingos
Machine Learning: A Probabilistic Perspective	Kevin P. Murphy
TensorFlow in 1 Day: Make your own Neural Network	Krishna Rungta

Which are the Top MSc Artificial Intelligence Colleges?

The table below shows the top MSc Artificial Intelligence colleges and universities that offer the course in a full-time mode.

College Name	Admission Process	Average Annual Fees
SPU, Gujarat	Merit-Based	INR 68,140
Auro University, Surat	Entrance-Based	INR 3,70,000
IILM University, Gurgaon	Merit-Based	INR 1,25,000
Garden City University, Bangalore	Entrance-Based	INR 3,06,500
Kings Cornerstone International College, Chennai	Merit-Based	INR 1,70,000

Source: College Websites

MSc Artificial Intelligence College Comparison

In the table below, we have taken the top 3 colleges that offer MSc Artificial Intelligence courses to do a comparative analysis in the lines of eligibility process, fees, recruitment, etc.

Parameters	SPU Gujarat	Auro University, Surat	IILM University, Gurgaon
Overview	Sardar Patel University is one of the largest universities in Gujarat. This deemed university offers Undergraduate, Postgraduate, external, Certificate, Value-added and Doctoral Courses in Management, Arts, Commerce, Science, Library Sciences and Architecture.	Auro University is a private university located in Surat. This university offers numerous Undergraduate and Postgraduate Executive programs in Management, Law, Design, Arts, and Mass Communication such as BBA, BJMC, MBA, LLM etc.	IILM University Gurgaon was set up under Haryana Private Universities (Amendment) Act 2018 and is ranked 14th by Eduniversal B-School Rankings. This University offers UG and PG courses in different streams.
Collegedunia Rating 2020	6.3	5.3	5.3
Location	Gujarat	Surat	Gurgaon, Haryana
Eligibility	Bachelor’s degree in relevant discipline with an aggregate of at least 50% marks.	Bachelor’s degree in relevant discipline with an aggregate of at least 50% marks.	Bachelor’s degree in relevant discipline with an aggregate of at least 50% marks.
Admission Process	Merit-Based	Entrance-Based	Merit-Based
Average Fees	INR 68,140	INR 3,70,000	INR 1,25,000
Average Salary	INR 8,88,000	INR 11,26,000	INR 6,89,000
Top Recruiting Companies	Amazon, Capegemini, Barclays, Cognizant etc.	DLF, HDFC, ICICI, Hindustan Unilever, Reliance Industries etc.	TCS, INFOSYS, EY and Tata Elxsi etc.

university of edinburgh artificial intelligence

Introducing BSc Artificial Intelligence

Artificial intelligence (AI) is the construction of artificial systems that have intelligent behaviour.

There are two main motivations for research. One is to understand natural intelligence through the use of computer models. The other provides techniques and technology for building systems capable of intelligent decisions and actions. Thus, AI is both a science and an engineering discipline.

Applications of AI range from ‘smart’ controllers for household devices to computers with the ability to converse in English, play games, conduct intelligent web searches or act as the brain of a robot.

We offer a wide range of AI courses delivered by leaders in their field. You will have the flexibility to focus on the areas of artificial intelligence that interest you most.

What you will study

Year 1

You will be introduced to basic principles of programming and computation.

You will:

• study how information can be represented and processed in computer systems
• learn fundamental techniques for managing data
• solve problems using computer programs

This year also includes courses in the mathematics necessary for all areas of informatics.

Together these form the foundations for more in-depth study of computation in future years.

You can also choose option courses from various schools across the University.

Second year entry

The School of Informatics does not accept applications for second year entry to our programmes.

Year 2

You will build on Year 1, covering more advanced programming and data structures, together with the related mathematics and broader professional and societal issues.

You will develop a greater understanding of:

• software development
• decision making
• learning from data
• the professional, social and ethical context of computing

You can also choose option courses from various schools across the University.

Year 3

Your studies will become more focused and you will have more choice in selecting specialised courses. We offer a range of options specific to artificial intelligence and other courses in informatics.

Your coursework assignments will typically provide you with experience in:

• practical work
• independent problem solving
• group work

Your exact curriculum depends on your chosen courses. Artificial intelligence courses offered in recent years include:

• robotics
• computer processing of language
• machine learning
• automated reasoning

Other options offered recently include courses in the following (and up to 10 others):

• computer security
• operating systems
• computer networks

Year 4

You will choose from a large number of advanced courses in artificial intelligence and other areas of informatics to build a portfolio, according to your interests.

Year 4 includes an individual honours project and you will develop a viable project starting from a given topic. You will have a variety of choices in selecting your topic, with a supervisor to guide you.

Programme structure

Find out more about the compulsory and optional courses in this degree programme.

To give you an idea of what you will study on this programme, we publish the latest available information. However, please note this may not be for your year of entry but for a different academic year.

Where you will study

Our facilities

You will be based in the School of Informatics with lectures, tutorials and classes held in Appleton Tower. The building provides purpose-built facilities and dedicated learning and teaching spaces, all located in the University’s Central Area.

You will have access to computer laboratories and quality software support.

The InfBase drop-in help desk is located in Appleton Tower. When access to the campus is restricted, InfBase operates as a virtual help desk.

InfPALS is run by Year 2 and 3 students as small study groups in Appleton Tower. When access to the campus is restricted they operate regular virtual meet-ups.

The Informatics Student Support Team is based within the Informatics Teaching Organisation in Appleton Tower.

Take a virtual tour

Take a closer look at all our facilities on the University’s Virtual Visit site.

Study abroad

In Year 3, you may have the option to study abroad through the University’s international exchange programme.

Learning and assessment

How will I learn?

You will be taught by leaders in their field through a combination of:

• lectures
• tutorials
• practical classes

In later years, you will spend more time working on projects that involve:

• building computer systems from scratch
• developing systems
• doing experimental work
• working on theoretical topics with guidance from your supervisor

Support

Students in the School of Informatics have access to services that support their learning, particularly in the beginning of their degree.

InfPALS is a peer support service for Year 1 students focusing on material covered in courses but also general topics, related to informatics.

InfBase is a drop-in help desk for Year 1 and 2 students to get additional tutoring and support with their courses.

You will also be invited to join:

• CompSoc, a tech society which offers a varied programme of events
• ProgClub, to get more practical programming experience

Pastoral support is offered by the Informatics Student Support Team.

How will I be assessed?

You will be assessed by:

• coursework assignments
• larger projects
• exams

You will undertake some project work individually and some with other students.

You will complete a large individual project in your final year.

Career opportunities

Our graduates have excellent career prospects in the IT industry and beyond.

Graduates comfortably secure roles such as:

• software engineer
• hardware engineer
• app developer
• web developer
• programmer

Graduates increasingly work as data analysts, data scientists or business analysts in the financial sector.

Popular employers

Popular employers include:

• Google
• Facebook
• Amazon
• IBM
• SkyScanner
• Intel
• Samsung
• ARM
• Nvida
• Keysight
• RockStar North
• Royal Bank of Scotland
• J.P. Morgan
• Citigroup

Other industries, and professions, that rely heavily on computing systems and are potential employers for graduates include:

• media (e.g. BBC)
• communications (Ericsson, Huawei)
• energy (British Gas)
• medicine (Canon Medical Systems)

Start-ups and spinouts

Our school boasts a record number of start-ups and spinouts over the last ten years, including those set up by our alumni, such as:

• Unicorn company, FanDuel
• Robotical
• PlayerData
• Speech Graphics

Careers Service

We support you to recognise the wealth of possibilities ahead, at University and after graduation. Our award-winning Careers Service plays an essential part in your wider student experience at the University and provides:

• tailored advice
• individual guidance and personal assistance
• internships and networking opportunities (with employers from local organisations to top multinationals)
• access to the experience of our worldwide alumni network

We invest in your future beyond the end of your degree and studying at the University of Edinburgh will lay the foundations for your future success.

Entry requirements

Standard entry requirement

The standard entry requirement is:

• SQA Highers: AAAAA – AAAB (achievement by end of S5 preferred). BBB must be achieved in one year of S4-S6.
• A Levels: A*A*A* – AAB.
• IB: 43 points with 777 at HL – 34 points with 655 at HL.

Minimum entry requirement

The minimum entry requirement for widening access applicants is:

• SQA Highers: AABB by end of S6. BBB must be achieved in one year of S4-S6.
• A Levels: ABB.
• IB: 32 points with 655 at HL.

Required subjects

The grades used to meet our entry requirements must include:

• SQA: Highers: Mathematics at A. Higher Applications of Mathematics is not accepted in place of Higher Mathematics. Advanced Higher Mathematics is recommended. National 5s: English at C.
• A Levels: Mathematics at A. GCSEs: English at C or 4.
• IB: HL: Mathematics (Analysis and approaches only) at 6. SL: English at 5.

International applicants

We welcome applications from students studying a wide range of international qualifications

Mature applicants

We welcome applications from mature students and accept a range of qualifications

English language requirements

You must demonstrate a level of English language competency at a level that will enable you to succeed in your studies, regardless of your nationality or country of residence.

SQA, GCSE and IB

For SQA, GCSE and IB students, unless a higher level is specified in the stated entry requirements, a pass is required in English at the following grades or higher:

• SQA National 5 at C
• SQA Standard Grade at 3
• GCSE at C or 4
• Level 2 Certificate at C
• IB Standard Level at 5 (English ab initio is not accepted for entry)

English language tests

We accept the following English language qualifications at the grades specified:

• IELTS Academic: total 6.5 with at least 5.5 in each component.
• TOEFL-iBT (including Home Edition): total 92 with at least 20 in each component. We do not accept TOEFL MyBest Score to meet our English language requirements.
• C1 Advanced (CAE) / C2 Proficiency (CPE): total 176 with at least 162 in each component.
• Trinity ISE: ISE II with distinctions in all four components.
• PTE Academic: total 62 with at least 54 in each component.

We also accept a wider range of international qualifications and tests.

English language qualifications must be no more than three and a half years old from the start date of the degree you are applying to study, unless you are using IELTS, PTE Academic, TOEFL or Trinity ISE, in which case it must be no more than two years old.

Artificial intelligence is a field that’s changing the way we live. It’s become a fundamental part of everything from our phones to the cars we drive, and it might not be long before artificial intelligence has an even bigger impact on our world—which is why so many people are looking forward to studying A.I. in college.

If you’re thinking about pursuing a degree in artificial intelligence, you have a lot of options to choose from… but some schools are going to offer better programs than others. So how do you know which school to choose?

Here’s what you should look for:

1. What kind of curriculum does the school offer? The best schools for A.I. strike the right balance between teaching students the basics and challenging them with new and innovative ideas and concepts that will stay relevant as the field grows and changes. Look for a curriculum that will test your limits without losing sight of the bigger picture.
2. How many courses do they offer? Just like when you were choosing classes in high school (or maybe even middle school!), it’s important to make sure that there are enough courses available for you to get all the credits you need and still have room for electives or minors in other areas of study that interest you.