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QS Rank:

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120

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Queen Mary University of London

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London

United Kingdom

The MSc in Artificial Intelligence at Queen Mary University of London is an exceptional program designed to equip students with the necessary skills and knowledge to excel in the rapidly evolving field of artificial intelligence. This program is meticulously structured to provide both theoretical understanding and practical skills through a blend of rigorous coursework and hands-on experience. The curriculum addresses core topics such as machine learning, natural language processing, and robotics, ensuring graduates are prepared for the multifaceted challenges present in today's AI landscape. Students will engage with cutting-edge technologies and methodologies, fostering an environment of innovation and critical thinking essential for success in AI-related roles.
Throughout the 12-month program, students will undertake various modules that delve into advanced AI concepts. Specific courses include "Deep Learning," which explores neural networks and their applications, and "Data Mining," focusing on extracting actionable insights from vast datasets. The program also emphasizes ethical considerations in AI, equipping students with a holistic understanding of the impact of technology on society. In addition, workshops and seminars led by industry experts and academics provide real-world perspectives, enhancing the academic experience.
Faculty expertise at Queen Mary University of London is a hallmark of the MSc in Artificial Intelligence program. The university boasts a distinguished team of researchers and practitioners who are at the forefront of AI advancements. Faculty members are not only renowned for their scholarly contributions but also for their commitment to student engagement and mentorship. Students benefit from an interactive learning environment, characterized by small class sizes that foster personalized attention and collaborative learning. This accessibility allows students to cultivate relationships with faculty, paving the way for exciting research opportunities and academic collaborations.
Research opportunities abound within the MSc program, with access to state-of-the-art laboratories and resources dedicated to AI and machine learning research. The university encourages students to partake in innovative projects and applied research, where they can contribute to ongoing investigations in the field. Students have the chance to work on real-world problems, collaborate with industry partners, and present their findings at conferences, creating a dynamic academic experience that extends beyond the classroom.
The industry connections and internship possibilities provided by Queen Mary University of London significantly enhance the job placement prospects for graduates. The university has established partnerships with leading tech companies and organizations, enabling students to secure internships that provide invaluable experience and networking opportunities. These connections often lead to employment opportunities post-graduation. With a strong emphasis on employability skills, the program prepares students for various roles in sectors such as finance, healthcare, and technology, where AI applications are increasingly prevalent.
Career pathways for graduates of the MSc in Artificial Intelligence are diverse and promising. Alumni have successfully transitioned into roles such as AI research scientists, data analysts, and machine learning engineers. The program’s focus on practical skills and theoretical knowledge ensures that students are not just prepared for their first job but are also equipped for long-term success in their careers. The high graduate employability rate speaks volumes about the program's effectiveness, regularly showcasing alumni who have landed positions at esteemed organizations around the globe, including Google, Microsoft, and various start-ups in the technology sector.
In addition to the comprehensive curriculum and strong industry ties, the MSc in Artificial Intelligence program at Queen Mary University of London is distinguished by its commitment to fostering a supportive and inclusive community. The university has a vibrant international student body, which enriches the learning environment and encourages cultural exchange. This diverse community is vital for collaboration and innovation in AI, as it brings together varied perspectives and ideas.
The eligibility criteria for prospective students interested in the MSc in Artificial Intelligence include a strong academic background, typically a minimum of a 2:1 degree in a related field, such as computer science, data science, or engineering. Additionally, proficiency in English is required, with minimum scores in standardized tests such as IELTS (6.5), PTE (62), or TOEFL (92). Students are encouraged to check specific admission details and application requirements directly on the university's official webpage.
Why Study Artificial Intelligence at Queen Mary University of London

  • A globally recognized program ranked among the best in the world for artificial intelligence, ensuring a high standard of education.
  • A diverse international student community that enhances collaborative learning and cultural exchange.
  • Access to expert faculty members actively engaged in groundbreaking research, offering mentorship and support for student projects.
  • State-of-the-art facilities and laboratories designed to facilitate innovative research and practical training.
  • Strong connections with industry leaders and numerous internship opportunities, enhancing employability for graduates.
  • A commitment to ethical AI education, preparing students to consider the societal implications of technology in their work.
  • A supportive academic environment that values diversity, inclusion, and holistic student development.
intake

Duration

12 Months

Ranking

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#110

US World and News Report

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#117

The World University Rankings

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#120

QS World University Rankings

Class Profile

Diversity

North America:

2%

South America:

1%

Asia:

10%

EU:

12%

Others:

3%

Africa:

3%

UK:

68%

Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

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  • PTE

    62

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  • TOEFL

    92

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