Course Overview
MSc Applied Artificial Intelligence develops advanced knowledge of AI methods and their implementation in real-world settings. The programme typically combines machine learning and deep learning with data, responsible AI and applied project work.
Typical Duration
Typically one to two years of full-time study, depending on the university and programme structure.
What You May Study
- Machine learning and deep learning
- Natural language processing
- Computer vision
- Reinforcement learning
- Data science and big-data analytics
- AI ethics and responsible AI
- AI development tools and frameworks
- Cloud platforms and AI deployment
- Advanced topics such as explainable AI and transfer learning
Practical Learning
Applied AI projects, capstone work, internships and industry collaboration may require students to design, train, evaluate and deploy AI solutions to practical problems.
Assessment Methods
Assessment varies by university and programme. Common methods include advanced coursework, reports or essays, presentations, examinations, applied projects and independent research. Many Master's programmes conclude with a dissertation, research project or substantial capstone project.
Skills You Can Develop
- Advanced machine learning
- AI model development
- Data analysis and experimentation
- Responsible AI evaluation
- Technical communication and project delivery
Career Opportunities
- AI engineer
- Machine-learning engineer
- Data scientist
- AI research scientist
- NLP or computer-vision engineer
- AI consultant
- AI product or innovation roles
Progression and Further Study
Graduates may enter advanced AI roles across technology and other sectors or progress to doctoral research in artificial intelligence and related fields.
Entry Requirements
Applicants will commonly need a relevant Bachelor's degree in an area such as computer science, engineering, mathematics or a related discipline. Some providers may also expect programming experience or prior knowledge of AI concepts. Exact academic and English-language requirements vary by university.
Provider-Specific Course Details
Module titles, assessment weightings, duration, study mode, fees, intakes, placement opportunities and entry criteria can differ between universities. City Thames College can help you compare current provider options and request the relevant programme information before you make an application.
Application Support
Complete the university application form to register your interest. City Thames College can support you with course selection and the application process; the relevant university or education provider makes the final admission decision.