MSc International Relations
The MSc International Relations program at the University of East London is designed to...
London
INTAKE: September
The MSc AI and Data Science program at the University of East London (UEL) with a placement year is a highly regarded postgraduate program designed to prepare students for rewarding careers in the dynamic fields of artificial intelligence (AI) and data science.
Program Structure: This program typically spans 2 years when pursued with a placement year. The initial academic year provides a strong foundation in AI and data science, followed by a year-long placement in the industry.
Core Modules: The program includes core modules that cover essential topics in AI and data science, such as machine learning, data mining, natural language processing, and computer vision. These modules provide students with a comprehensive understanding of the field.
Placement Year: One of the program's distinctive features is the placement year. During this year, students have the opportunity to work with leading organizations, gaining practical experience in applying AI and data science techniques to real-world challenges. The placement year enhances employability and provides valuable industry insights.
Big Data Analysis: The program emphasizes big data analysis techniques and tools, preparing students to handle and extract insights from large and complex datasets, a crucial skill in the modern data-driven world.
AI Algorithms: Advanced AI algorithms, including deep learning and reinforcement learning, are a key focus, enabling students to develop cutting-edge AI solutions.
Ethical Considerations: Ethical considerations in AI and data science are addressed throughout the program, emphasizing responsible and unbiased data analysis.
Industry-Relevant Skills: UEL's faculty includes experienced AI and data science professionals, ensuring that students are exposed to the latest industry trends and best practices.
Research and Projects: Students can engage in research projects and practical applications of AI and data science, gaining hands-on experience that enhances their skills and knowledge.
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 AI and Data Science program at the University of East London (UEL) with a placement year are well-prepared for diverse and high-demand careers in AI and data science.
Data Scientist: Graduates can work as data scientists, analyzing and interpreting data to inform business decisions and strategies.
Machine Learning Engineer: Opportunities exist as machine learning engineers who design and implement machine learning algorithms and models.
AI Researcher: Graduates with a research inclination may pursue roles as AI researchers, contributing to advancements in AI technology.
Data Analyst: Data analyst positions are available, where graduates can focus on data visualization, reporting, and data-driven decision-making.
AI Consultant: Some graduates may choose to work as AI consultants, providing expert advice on implementing AI solutions in various industries.
Big Data Specialist: For those interested in big data, roles as big data specialists involve handling and analyzing large datasets efficiently.
AI Project Manager: With experience, graduates can progress to managerial roles, overseeing AI and data science projects within organizations.