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MSc Artificial Intelligence
York
INTAKE: September
Program Overview
The MSc in Artificial Intelligence at the University of York offers students an in-depth exploration of AI techniques and technologies, including machine learning, neural networks, natural language processing, robotics, and data analysis. The program is designed for students with a strong background in computer science, mathematics, or a related field, providing them with the opportunity to specialize in various aspects of AI. The curriculum focuses on cutting-edge AI technologies and their real-world applications, helping students to develop the technical expertise and analytical skills needed to work in industries such as healthcare, finance, robotics, and autonomous systems. The program also includes a research project, where students can apply their learning to solve a specific AI-related problem, often in collaboration with industry partners.
Curriculum: The curriculum for the MSc in Artificial Intelligence at York is designed to balance both theoretical and practical aspects of AI. Core modules cover fundamental topics such as Machine Learning, Artificial Neural Networks, Data Science, and Robotics, providing students with a solid foundation in the key areas of AI. Optional modules allow students to specialize in areas such as Natural Language Processing, Computer Vision, Cognitive Systems, and AI Ethics. In addition to the taught modules, students will undertake a significant research project or dissertation, where they can apply the skills and knowledge gained throughout the program to a real-world AI problem. The program's flexible structure allows students to tailor their studies to their interests and career goals.
Research Focus: The MSc in Artificial Intelligence at York is research-driven, providing students with the opportunity to engage with the latest developments in AI research. The program offers strong research support, with faculty members actively involved in AI research across a variety of areas, including machine learning, robotics, cognitive systems, and AI ethics. Students are encouraged to participate in research activities throughout the program, either through their dissertation project or by contributing to ongoing research projects within the university. The research focus helps students to develop a deeper understanding of AI technologies and their applications, as well as prepare them for careers in research and development or academic study.
Industry Engagement: The University of York’s MSc in Artificial Intelligence includes significant opportunities for industry engagement, ensuring that students gain practical experience and insights into the application of AI in real-world settings. The university has strong links with a wide range of industries, including technology, finance, healthcare, and robotics, and students have the opportunity to work on projects and research collaborations with industry partners. Guest lectures, workshops, and seminars led by professionals in the AI field provide students with exposure to the latest industry trends and developments. Additionally, students have access to career services that offer support with internships, industry placements, and job search activities, helping them to build networks and secure employment in AI-related roles.
Global Perspective: The MSc in Artificial Intelligence at York offers a global perspective on AI, preparing students to work in an international context and apply AI technologies in a wide range of global industries. The program’s diverse student body, consisting of individuals from various countries and backgrounds, provides students with the opportunity to learn from peers with different perspectives and experiences. The global focus is also reinforced through collaborations with international research institutions and businesses. By studying at York, students are exposed to the global challenges and opportunities of AI, from data privacy issues to the ethical implications of AI systems, ensuring that they are well-prepared to work in the global AI landscape.
Location
York
Score
IELTS 6.5
Tuition Fee
£ 31900
Postgraduate Entry Requirements:
- Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60% or equivalent.
- English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
- IELTS: A minimum overall score of 6.5 with no individual component below 6.0.
- TOEFL: A minimum overall score of 87, with at least 21 in Listening, 21 in Reading, 21 in Speaking, and 23 in Writing.
- PTE Academic: A minimum overall score of 61 with no individual score below 55.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
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 York, located in the UK, offers a range of scholarships to support their educational journey. These scholarships aim to recognize academic excellence, encourage cultural diversity, and provide financial assistance to deserving students.
Academic Excellence Scholarships: The University of York offers scholarships based on academic merit to outstanding international students applying for undergraduate or postgraduate programs. The scholarships provide financial support in the form of partial tuition fee reductions.
Vice-Chancellor's Scholarships: These prestigious scholarships are awarded to exceptional international students who demonstrate outstanding academic achievements and leadership potential. The scholarships cover full tuition fees and also provide a generous living stipend to support the students' living expenses during their studies.
Departmental Scholarships: Many departments within the University of York offer scholarships to international students within specific academic fields. These scholarships may cover partial or full tuition fees and are awarded based on academic excellence and potential within the chosen field.
Country-Specific Scholarships: The University of York provides scholarships specifically designed for students from certain countries or regions. These scholarships aim to promote diversity and international collaboration. Examples include the York Graduate Research School Scholarships for students from specific countries or regions.
Research Scholarships: International students interested in pursuing research-based programs such as Ph.D. or MPhil have opportunities to apply for research scholarships. These scholarships provide financial support by covering tuition fees and offering a stipend to assist with living expenses. Funding sources for research scholarships include government grants, research councils, and industry partnerships.
External Scholarships: The University of York encourages international students to explore external scholarship opportunities provided by governments, organizations, or foundations in their home countries. The university provides guidance and support to students in identifying and applying for these external scholarships.
Graduates of the MSc Artificial Intelligence program at the University of York are well-equipped to pursue diverse and rewarding career paths in the rapidly evolving field of AI.
AI Research and Development: Graduates can work as AI researchers, contributing to the development of innovative AI algorithms and applications.
Data Science: Opportunities exist in data science roles, where graduates can apply AI techniques to analyze and derive insights from large datasets.
Machine Learning Engineer: Graduates may work as machine learning engineers, designing and implementing machine learning models for various applications.
AI Consultant: Some graduates choose to become AI consultants, advising organizations on AI strategy, implementation, and ethical considerations.
AI Product Manager: Graduates can pursue roles as AI product managers, overseeing the development and launch of AI-powered products and solutions.
Robotics Engineer: Careers in robotics engineering, particularly in fields like autonomous vehicles and industrial automation, are accessible to program graduates.
AI in Healthcare: Opportunities exist in healthcare, where AI is used for medical imaging, diagnostics, and personalized treatment plans.
Academia: Graduates interested in research and education can pursue doctoral studies and academic careers in AI.
