1. Develop Practical AI Skills
2. Understand AI Concepts and Techniques
3. Solve Real-World Problems
4. Master Data Handling and Analysis
5. Promote Ethical AI Practices
6. Enhance Decision-Making Abilities

1. Science background
2. A high school diploma or equivalent
3. English proficiency
4. Personal Statement (Tentative)

1. Mathematics 1
2. Introduction to Computer Systems
3. Programming Fundamentals
4. Mathematics 2
5. Machine Learning
6. Data Structures and Algorithms
7. Web Systems and Technologies
8. Object-Oriented Programming
9. Data Engineering and Visualisation
10. Ethics and Professional Conducts
11. Artificial Intelligence in Business and Society
12. Introduction to Software Engineering
13. Embedded Systems Programming
14. Computer Vision and Deep Learning
15. Database Systems
16. Cyber Security Fundamentals
17. Cloud Computing and Big Data
18. Large Language Models
19. Edge Computing and Analytics
20. Change Management
21. ITP: Cross Domain Prototyping
22. TP: Execution & Delivery
23. Industry Certification Module
24. Integrated Work Study Programme
25. Capstone Project

1. Lectures
2. Seminars and tutorials
3. Case studies
4. Workshops and practical sessions
5. Group projects and teamwork
6. Online and digital learning
7. Research projects and dissertations
8. Guest lectures and industry speakers

1. Introduction to Artificial Intelligence
2. Mathematics for AI
3. Machine Learning Fundamentals
4. Deep Learning
5. Natural Language Processing (NLP)
6. Computer Vision
7. Reinforcement Learning
8. AI Ethics and Society
9. Data Engineering for AI
10. Deployment and Scalability
11. Capstone Project
12. Industry Applications of AI

1. Examinations
2. Coursework and Assignments
3. Practical Projects and Group Work
4. Presentations
5. Practical Assessments

The course duration can vary by country and institution. In the UK, it takes about 3/4 years if you study full-time and 4/5 years if you study part-time.

1. Access to industry-standard AI software
2. High-Performance Computing Labs
3. AI Research Centres
4. Data Resources
5. Robotics and IoT Labs
6. Virtual Learning Platforms
7. Innovation and Incubation Centres
8. Collaboration Spaces
9. Specialised Libraries and Journals
10. Career Development Support
11. Networking and Events

1. AI Engineer
2. Machine Learning Engineer
3. Data Scientist
4. Deep Learning Specialist
5. Computer Vision Engineer
6. Robotics Engineer
7. AI Product Manager
8. AI Consultant
9. AI Researcher
10. Innovation Specialist
11. University Lecturer or Professor

The fees per year for an applied artificial intelligence degree for international students can lie between £15,000 and £40,000 in the UK, but the amount can vary by country and university.

1. A high school diploma or equivalent
2. English Language Proficiency
3. Personal Statement
4. References

1. Industry Projects
2. Research Studies
3. Technology Companies
4. Healthcare
5. Finance
6. Retail and E-Commerce
7. Manufacturing

1. Google Professional Machine Learning Engineer
2. Microsoft Certified: Azure AI Engineer Associate
3. IBM AI Engineering Professional Certificate
4. AWS Certified Machine Learning—Speciality
5. Deep Learning Specialisation (Coursera)
6. Stanford Online AI Certification
7. Natural Language Processing (NLP) Specialisation (Coursera)
8. Computer Vision Nanodegree (Udacity)
9. Certified Data Scientist (Data Science Council of America, DASCA)
10. TensorFlow Developer Certificate
11. AI Ethics Certification (IEEE)
12. Ethical AI Practitioner (CertNexus)
13. MIT AI & Machine Learning Certificate
14. University of California, Berkeley (BerkeleyX)

In the UK, the primary intake happens in September/October, and the secondary intake happens in January/February.

"The network I was able to establish there made studying far away from home easier for me: on the one hand, the support of friends from all over the world... and on the other hand, of course, the support of the university staff." [Diana Valdez from IU International University of Applied Sciences]