BSc (Econ)(Hons) Economics, Finance and Management
Spanning three years, with options to extend to four or five years to include a year ab...
MSc Artificial Intelligence
Mile End
INTAKE: September
Program Overview
The MSc Artificial Intelligence program at Queen Mary University of London is designed to provide students with a comprehensive understanding of the core principles and technologies underlying AI systems. The program offers a robust curriculum that covers topics such as machine learning, deep learning, natural language processing (NLP), computer vision, and AI ethics. By focusing on both the theoretical and practical aspects of AI, students will gain the skills needed to develop intelligent systems and apply AI techniques to real-world problems. The program is ideal for those seeking to pursue careers in AI research, data science, robotics, or any other industry that is adopting AI technologies. With a strong emphasis on computational methods and the application of AI in various domains, the MSc AI program at QMUL ensures that students are well-prepared to meet the demands of the growing AI industry.
Curriculum: The curriculum for the MSc Artificial Intelligence program at QMUL is designed to provide students with a balanced mix of theoretical knowledge and practical skills. Core modules cover essential AI topics such as machine learning algorithms, data science techniques, neural networks, and data mining. In addition, students will explore areas like deep learning, reinforcement learning, AI in robotics, and AI-based systems development. Special attention is given to the ethical implications of AI and its societal impacts, preparing students to develop AI solutions that are both effective and responsible. The program also incorporates hands-on learning experiences, including programming assignments, projects, and practical applications of AI. Students are encouraged to apply their learning through group projects, industry collaborations, and a research project or dissertation. This combination of coursework, projects, and independent research ensures that students are well-equipped to pursue careers in AI development and research.
Research Focus: The MSc Artificial Intelligence program at Queen Mary University of London places a strong emphasis on research, allowing students to explore advanced AI topics in-depth. Queen Mary is renowned for its research in AI, machine learning, and computational intelligence, and students benefit from this rich academic environment. Research focuses within the program include areas like machine learning theory, neural networks, computer vision, and natural language processing. Students will have the opportunity to work on cutting-edge research projects, collaborating with faculty members who are leaders in AI research. Additionally, the program encourages students to undertake independent research through their dissertation, where they can explore a particular aspect of AI that aligns with their academic interests and career goals. By engaging with ongoing research, students can contribute to innovations in AI and stay at the forefront of this rapidly changing field.
Industry Engagement: The MSc Artificial Intelligence program at QMUL is closely linked to the tech industry, providing students with valuable opportunities for industry engagement. Through partnerships with leading AI companies, startups, and research institutions, students are given the chance to work on real-world AI problems, gaining practical experience in the development and deployment of AI technologies. Industry engagement is facilitated through internships, collaborations on research projects, guest lectures, and networking events, allowing students to build professional connections and gain insights into the latest trends and challenges in the AI field. Furthermore, the program includes opportunities for students to work on projects that address industry-specific challenges, ensuring that graduates are well-prepared to transition into AI-focused roles in various sectors, including technology, healthcare, finance, and more. These industry connections enhance students’ employability and ensure that they are equipped with the skills needed to excel in the competitive AI job market.
Global Perspective: Queen Mary University of London offers a global perspective in its MSc Artificial Intelligence program, reflecting the international scope of AI research and its global impact. The AI field is rapidly growing worldwide, and QMUL recognizes the importance of exposing students to international trends, challenges, and collaborations in AI. The program encourages students to consider the global applications of AI, from healthcare and robotics to smart cities and autonomous systems. Students also benefit from Queen Mary's international research collaborations, allowing them to work with experts and institutions from around the world. The global perspective within the program ensures that students are well-prepared to work in diverse environments and contribute to AI innovations that have a worldwide impact. With a growing demand for AI professionals globally, QMUL's global connections help students gain insights into international AI research, technology adoption, and the ethical challenges facing the AI industry today.
Location
Mile End
Score
IELTS 6.5
Tuition Fee
£ 33500
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.
AI Engineer/Developer: Graduates can work as AI engineers or developers, creating and implementing AI algorithms and solutions for businesses and industries.
Machine Learning Engineer: Graduates may pursue roles as machine learning engineers, designing and building advanced machine learning models for data-driven decision-making.
Data Scientist: Graduates can become data scientists, extracting insights and patterns from large datasets to drive business strategies and innovation.
Natural Language Processing Specialist: Graduates with expertise in natural language processing can work on developing applications like chatbots, language translation, and sentiment analysis.
Computer Vision Specialist: Graduates may specialize in computer vision, working on projects related to image recognition, video analysis, and augmented reality.
AI Ethics Consultant: Graduates can contribute to ensuring ethical AI development by advising organizations on responsible AI practices and addressing bias.
Robotics Engineer: Graduates interested in robotics can work on designing and programming autonomous systems, robots, and drones.
AI Researcher: Graduates with a passion for research can pursue roles in academia or industry research labs, pushing the boundaries of AI technology.
AI Product Manager: Graduates may take on product management roles, overseeing the development and launch of AI-powered products and services.
Entrepreneurship: Graduates with innovative AI ideas can embark on entrepreneurial ventures, creating AI startups and driving technological innovation.
