BSc Hons Accounting and Management
Queen Mary University of London's BSc-Hons- Accounting and Management program ...
MSc Artificial Intelligence
Mile End
INTAKE: September
Program Overview
The MSc in Artificial Intelligence program at Queen Mary University is designed to provide students with a comprehensive understanding of AI technologies, algorithms, and applications. The program encompasses a range of foundational and specialized courses that equip students with the skills required to excel in the dynamic landscape of AI.
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Foundations of AI: Students are introduced to the fundamental principles, concepts, and theories that underpin artificial intelligence, including machine learning, neural networks, and natural language processing.
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Machine Learning Techniques: The program delves into various machine learning algorithms, enabling students to develop predictive models, analyze data, and make informed decisions.
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Computer Vision: Students explore computer vision techniques, learning how to process and interpret visual information from the world, with applications in image and video analysis.
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Natural Language Processing: The program covers natural language processing, enabling students to design algorithms that understand, analyze, and generate human language.
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Robotics and Autonomous Systems: Students gain insights into robotic systems, automation, and control, preparing them to work on technologies such as self-driving cars and industrial automation.
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Ethics and Bias in AI: The curriculum addresses ethical considerations and biases associated with AI, fostering responsible AI development and deployment.
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AI Applications: Students have the opportunity to apply AI techniques to real-world problems across diverse domains, including healthcare, finance, and entertainment.
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Research Projects: The program emphasizes hands-on experience through research projects, allowing students to explore AI innovation under the guidance of experienced faculty.
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Interdisciplinary Collaboration: Queen Mary's interdisciplinary approach encourages collaboration with experts from various fields, enhancing problem-solving skills.
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Advanced AI Topics: Students can choose from a range of elective modules, diving deeper into advanced AI topics like deep learning, reinforcement learning, and AI for gaming.
Location
Mile End
Score
IELTS 6.5
Tuition Fee
£ 28950
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 92, with at least with at least 17 in Listening, 18 in Reading, 20 in Speaking, and 21 in Writing.
- PTE Academic: A minimum overall score of 71 with 65 in Writing, and 59 in Reading, Listening and Speaking..
- 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.
Queen Mary University of London offers a range of scholarships and bursaries to its students.
- Queen Mary International Excellence Scholarships: A scholarship program for international undergraduate and postgraduate students who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full tuition fees for one year of study.
- Queen Mary Law Scholarships: A scholarship program for undergraduate and postgraduate law students who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full or partial tuition fees, depending on the level of academic achievement.
- Queen Mary Engineering and Materials Science Scholarships: A scholarship program for undergraduate and postgraduate students studying engineering or materials science who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full or partial tuition fees, depending on the level of academic achievement.
Graduates of the MSc Artificial Intelligence program from Queen Mary University are well-equipped for a variety of exciting and impactful career opportunities in the AI industry and beyond.
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AI Engineer/Developer: Graduates can work as AI engineers or developers, creating and implementing AI algorithms and solutions for businesses and industries.
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Machine Learning Engineer: Graduates may pursue roles as machine learning engineers, designing and building advanced machine learning models for data-driven decision-making.
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Data Scientist: Graduates can become data scientists, extracting insights and patterns from large datasets to drive business strategies and innovation.
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Natural Language Processing Specialist: Graduates with expertise in natural language processing can work on developing applications like chatbots, language translation, and sentiment analysis.
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Computer Vision Specialist: Graduates may specialize in computer vision, working on projects related to image recognition, video analysis, and augmented reality.
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AI Ethics Consultant: Graduates can contribute to ensuring ethical AI development by advising organizations on responsible AI practices and addressing bias.
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Robotics Engineer: Graduates interested in robotics can work on designing and programming autonomous systems, robots, and drones.
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AI Researcher: Graduates with a passion for research can pursue roles in academia or industry research labs, pushing the boundaries of AI technology.
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AI Product Manager: Graduates may take on product management roles, overseeing the development and launch of AI-powered products and services.
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Entrepreneurship: Graduates with innovative AI ideas can embark on entrepreneurial ventures, creating AI startups and driving technological innovation.
