MSc International Relations
The MSc International Relations program at the University of East London is designed to...
London
INTAKE: Jan, May & Sept
The MSc Artificial Intelligence with Industrial Placement program at the University of East London (UEL) is a highly regarded postgraduate course tailored to provide students with a comprehensive education in artificial intelligence (AI) while offering valuable industry experience.
Program Structure: This program typically spans one year of full-time study, with an additional placement year in industry. It is structured to ensure students acquire a deep understanding of AI concepts and practical skills.
Core Modules: The curriculum includes core modules that cover essential topics in AI, such as machine learning, deep learning, natural language processing, computer vision, and robotics. These modules build a strong foundational knowledge of AI technologies.
Hands-On Learning: Practical hands-on learning is emphasized throughout the program. Students work with state-of-the-art AI tools, programming languages (e.g., Python), and frameworks, enhancing their ability to apply AI techniques effectively.
Real-World Experience: One of the program's unique features is the industrial placement year. During this period, students have the opportunity to work with renowned companies or organizations, gaining real-world experience in AI-related roles.
Research Opportunities: Some programs offer students the chance to engage in AI research, either through a dissertation or research projects. This allows them to explore specific areas of AI in depth and contribute to advancements in the field.
Ethical AI: An ethical dimension is integrated into the curriculum, emphasizing responsible AI development, fairness, transparency, and ethical considerations in AI applications.
Guest Lectures and Industry Partnerships: Many universities, including UEL, collaborate with industry partners and invite guest lecturers from leading tech companies. These connections provide students with insights into the latest industry trends and networking opportunities.
Supportive Placement Services: UEL typically provides dedicated placement services to help students secure suitable industrial placements, ensuring they gain valuable experience aligned with their career goals.
London
IELTS 6.5
£ 15240
Postgraduate Entry Requirements:
Students must provide:
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 East London (UEL) is committed to providing financial support to international students through a range of scholarship opportunities. These scholarships are designed to recognize academic excellence, promote diversity, and help deserving students pursue their educational goals.
It is important to note that scholarship availability, eligibility criteria, and application deadlines may vary each year.
Graduates of the MSc Artificial Intelligence with Industrial Placement program at the University of East London (UEL) are well-equipped for a wide range of exciting career opportunities in the dynamic field of AI.
AI Engineer: Graduates can pursue roles as AI engineers, specializing in developing and deploying AI models, algorithms, and applications.
Data Scientist: Opportunities exist for graduates to work as data scientists, leveraging their AI expertise to analyze large datasets and extract valuable insights.
AI Researcher: For those interested in research, AI researcher positions in academia or industry offer the chance to contribute to AI advancements.
AI Consultant: Graduates may choose roles as AI consultants, advising businesses on AI strategy and helping them implement AI solutions.
Machine Learning Engineer: Some graduates become machine learning engineers, focusing on designing and optimizing machine learning models.
AI Project Manager: AI project manager roles involve overseeing the development and implementation of AI projects within organizations.
AI Ethics Specialist: Graduates can specialize in AI ethics, ensuring that AI technologies are developed and deployed responsibly and ethically.