MSc Artificial Intelligence

Postgraduate entry requirements:

1. Academic Qualifications: Prospective postgraduate applicants to the University of Edinburgh are typically required to have achieved a minimum academic qualification of approximately 60%, based on their previous academic achievements and qualifications.  

2. English Language Proficiency:  

   • IELTS (International English Language Testing System): Minimum overall score of 7.0, with at least 6.0 in each component (Listening, Reading, Speaking, Writing).

   • TOEFL (Test of English as a Foreign Language): Minimum score of 100 on the internet-based test (iBT), with at least 20 in each component (Reading, Listening, Speaking, Writing).

   • PTE (Pearson Test of English): Minimum overall score of 70, with at least 59 in each component (Listening, Reading, Speaking, Writing).

Students must provide:

• academic marksheets & transcripts
• letters of recommendation
• a personal statement - SOP
• passport
• other supporting documents as required by the university.

Work experience: Some postgraduate courses may require relevant work experience in the field.

It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.

The University of Edinburgh offers a range of scholarships and funding opportunities specifically designed to support international students pursuing undergraduate, postgraduate, and research programs. These scholarships aim to promote diversity, academic excellence, and global engagement. 

Global Scholarships: The University of Edinburgh offers Global Scholarships to outstanding international undergraduate students. These scholarships provide financial assistance towards tuition fees and living expenses, enabling talented students from around the world to access quality education at Edinburgh.

Edinburgh Global Research Scholarships: International postgraduate students pursuing research-based programs (Ph.D., MSc by Research) can apply for Edinburgh Global Research Scholarships. These scholarships provide full or partial funding for tuition fees and living expenses during the research program.

School-specific Scholarships: Some academic schools and departments within the university offer scholarships targeting international students in specific disciplines or programs. These scholarships may be merit-based or need-based and vary in terms of eligibility criteria and funding amounts.

Commonwealth Scholarships: The University of Edinburgh participates in various Commonwealth scholarship schemes, providing opportunities for students from Commonwealth countries to study in the UK. These scholarships are funded by the UK government and other organizations.

External Funding Sources: International students are encouraged to explore external funding sources, such as government scholarships, private organizations, and international foundations, to support their studies at the University of Edinburgh.

It is important to note that scholarship availability, criteria, and application deadlines may change from year to year.

The MSc Artificial Intelligence program at The University of Edinburgh opens doors to diverse and exciting career opportunities in the rapidly expanding field of AI. Graduates of this program are equipped with advanced skills in machine learning, data analysis, natural language processing, robotics, and AI ethics, making them highly sought-after professionals in various industries.  

1. AI Research Scientist/Engineer: Graduates can pursue roles as AI research scientists or engineers, working on cutting-edge projects in academia, research institutions, or technology companies. They contribute to the development of new AI algorithms, systems, and applications.

2. Machine Learning Engineer: Machine learning engineers design and implement machine learning models and systems that power AI applications. They work on data preprocessing, model training, and deployment of machine learning solutions across industries like healthcare, finance, and e-commerce.

3. Data Scientist: Data scientists analyze large datasets using AI techniques to derive actionable insights and make data-driven decisions. They work in diverse sectors such as finance, marketing, and healthcare, applying AI to solve complex problems and optimize business processes.

4. AI Consultant: AI consultants provide strategic advice and solutions to businesses looking to implement AI technologies. They assess client needs, develop AI strategies, and oversee the implementation of AI projects to drive innovation and business growth.

5. AI Product Manager: Graduates can take on roles as AI product managers, overseeing the development and launch of AI-based products and services. They collaborate with cross-functional teams to define product features, prioritize development tasks, and ensure product success in the market.

6. Robotics Engineer: Those interested in robotics can pursue roles as robotics engineers, designing and developing intelligent robotic systems for industrial automation, healthcare, and consumer applications. They leverage AI techniques for perception, planning, and control in robotics.

7. AI Ethics Specialist: With the growing importance of AI ethics, graduates can specialize in AI ethics roles, ensuring responsible and ethical deployment of AI technologies. They work with policymakers, organizations, and research groups to address ethical challenges in AI development and deployment.

8. Startup Entrepreneur: Some graduates may choose to start their own AI-related startups, leveraging their knowledge and skills to create innovative AI solutions and disrupt industries.