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BSc (Hons) Computer Science and Artificial Intelligence
London
INTAKE: September
Program Overview
The BSc (Hons) Computer Science and Artificial Intelligence program at Queen Mary University of London offers a comprehensive understanding of both computer science principles and the burgeoning field of artificial intelligence. It is designed to equip students with the necessary skills and knowledge to address complex challenges using AI technologies.
Curriculum: The curriculum covers a broad range of subjects, including machine learning, data mining, natural language processing, computer vision, and robotics. Students gain expertise in programming languages, algorithms, and advanced AI techniques, ensuring a solid foundation in both theoretical concepts and practical applications.
Research Focus: Students engage in research-oriented coursework, exploring AI's theoretical aspects and practical implementations. The program encourages students to delve into specialized areas within AI, fostering critical thinking and problem-solving skills.
Industry Engagement: The program fosters strong connections with industry partners, offering opportunities for internships, industry projects, and collaborations. Students gain hands-on experience and exposure to real-world AI applications, enhancing their readiness for the job market.
Global Perspective: With AI's global impact, the program integrates a global perspective, addressing AI's ethical, social, and economic implications on a worldwide scale. Students may have opportunities for international collaborations or projects, broadening their understanding of AI in different contexts.
Location
London
Score
IELTS 6
Tuition Fee
£ 26250
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 80% or equivalent in their respective country's grading system.
English Language Proficiency:
- 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 21 in Writing, 18 in Reading, 17 in Listening and 20 in Speaking.
- PTE Academic: A minimum overall score of 71 overall and 65 in Writing, and 59 in Speaking ,Reading, Listening and.
- Some 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.
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 Principal's Scholars Program: A scholarship program for undergraduate students who have an offer of admission from Queen Mary University of London and have achieved exceptional academic grades. The scholarship covers full tuition fees for three years of study, as well as a £2,000 annual stipend for living expenses.
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 from Queen Mary University of London's BSc (Hons) Computer Science and Artificial Intelligence program possess a unique skill set in computer science coupled with specialized knowledge in artificial intelligence, enabling them to pursue various promising career paths in cutting-edge industries.
Machine Learning Engineer: Graduates may pursue roles as machine learning engineers, utilizing their expertise in algorithms, data analysis, and machine learning techniques to develop intelligent systems and predictive models.
Data Scientist: With their strong foundation in data analysis and machine learning, graduates can excel as data scientists, interpreting complex data sets to extract valuable insights and drive data-driven decision-making.
AI Researcher: Graduates interested in advancing the field of artificial intelligence may pursue careers as AI researchers, contributing to groundbreaking research in areas such as natural language processing, computer vision, or robotics.
AI Software Developer: Graduates can work as AI software developers, designing and developing applications that integrate artificial intelligence technologies, such as chatbots, recommendation systems, and autonomous systems.
Robotics Engineer: For those interested in robotics, graduates can pursue roles as robotics engineers, contributing to the design and development of intelligent robotic systems.
AI Ethicist: With the growing importance of ethical considerations in AI, graduates may explore roles as AI ethicists, ensuring responsible and ethical AI implementation in various industries.
AI Consultant: Graduates equipped with expertise in AI technologies can work as AI consultants, providing advice to organizations on leveraging AI solutions for business growth and innovation.
Technical Product Manager: Graduates with a blend of technical skills and business acumen may pursue roles as technical product managers, overseeing the development of AI-based products and solutions.
Software Engineer: Graduates can also pursue traditional software engineering roles, applying their knowledge of computer science and AI concepts to develop software systems and applications.
Entrepreneur/Startup Founder: With their expertise in AI technologies, graduates may venture into entrepreneurship, establishing startups focused on AI-driven innovations and solutions.
