MBA Master of Business Administration
The University of Sheffield offers an MBA program that provides a comprehensive underst...
Western Bank
INTAKE: September
The BSc Computer Science (Artificial Intelligence) program at the University of Sheffield is a cutting-edge course designed to equip students with a deep understanding of computer science principles, with a specific focus on artificial intelligence (AI). It offers a comprehensive exploration of AI technologies, machine learning, data analysis, and their applications.
Curriculum: The curriculum for BSc Computer Science (Artificial Intelligence) is dynamic, covering core computer science subjects alongside specialized modules in AI, machine learning, robotics, natural language processing, and data analytics. Students gain practical experience through coding, algorithm design, and projects focusing on AI applications.
Research Focus: The program places a significant emphasis on research in artificial intelligence. Students have opportunities to delve into AI-related research projects, exploring topics such as neural networks, deep learning, computer vision, and AI ethics, contributing to advancements in the field.
Industry Engagement: The University of Sheffield fosters strong industry connections for BSc Computer Science (Artificial Intelligence) students. Collaborations with tech companies, research institutions, and AI-focused organizations provide internships, workshops, and guest lectures, offering insights into real-world AI projects and fostering industry-relevant skills.
Global Perspective: The BSc Computer Science (Artificial Intelligence) program adopts a global perspective by addressing AI's impact on a global scale. It explores international case studies, ethical considerations, and the societal implications of AI technologies, preparing students for AI-related challenges in various cultural and geographical contexts.
Western Bank
IELTS 6.5
£ 26950
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 75% or equivalent in their respective country's grading system.
English Language Proficiency:
Students must provide:
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 Sheffield offers a range of scholarships and financial support to the students.
Sheffield Scholarship: This scholarship is awarded to high-achieving students who have a conditional or unconditional offer to study a full-time undergraduate course at the University of Sheffield. The scholarship is worth £2,000 per year for up to three years of study.
International Merit Undergraduate Scholarship: This scholarship is available to international students who have a conditional or unconditional offer to study a full-time undergraduate course at the University of Sheffield. The scholarship is worth 50% of the tuition fee for each year of study.
International Baccalaureate Scholarship: This scholarship is available to international students who have completed the International Baccalaureate Diploma and have a conditional or unconditional offer to study a full-time undergraduate course at the University of Sheffield. The scholarship is worth £2,000 per year for up to three years of study.
Graduates from the BSc Computer Science (Artificial Intelligence) program at the University of Sheffield possess specialized skills in AI, machine learning, and data analysis, enabling them to pursue diverse and high-demand career paths in the tech industry and beyond.
AI Engineer/Developer: Graduates can work as AI engineers or developers, designing and implementing AI-based systems, developing algorithms, and leveraging machine learning techniques to create innovative solutions for various industries.
Data Scientist: Proficient in data analysis and machine learning, graduates can pursue careers as data scientists. They analyze complex datasets, extract insights, and develop predictive models to aid decision-making processes in sectors like finance, healthcare, and technology.
Machine Learning Specialist: With expertise in machine learning, graduates can become specialists in this field, working on designing and improving algorithms, developing AI models, and optimizing systems for improved performance.
AI Ethics Consultant: Professionals may specialize in AI ethics, ensuring responsible and ethical AI deployment. They work with organizations to address ethical considerations, biases, and societal impacts of AI technologies.
Robotics Engineer: Graduates can work in robotics, designing and programming intelligent robotic systems for industries such as manufacturing, healthcare, and automation.