MBA Master of Business Administration
The University of Sheffield offers an MBA program that provides a comprehensive underst...
Western Bank
INTAKE: September
The BSc Artificial Intelligence and Computer Science with a Year in Industry program at the University of Sheffield offers an enriched academic experience integrating computer science fundamentals with a specialized focus on artificial intelligence (AI). It combines theoretical knowledge with practical industry experience, preparing students for a successful career in the field.
Curriculum: The curriculum for BSc Artificial Intelligence and Computer Science is comprehensive, covering core computer science modules along with specialized AI courses. Students delve into areas such as machine learning, robotics, data analysis, and AI ethics. The inclusion of a year-long industry placement enriches practical skills and knowledge.
Research Focus: The program encourages research in AI and computer science. Students have opportunities to engage in research projects exploring cutting-edge AI technologies, computational intelligence, data-driven approaches, and the ethical implications of AI applications.
Industry Engagement: The University of Sheffield emphasizes industry engagement through the Year in Industry component. Students undertake a year-long placement with leading tech companies, research institutions, or AI-focused organizations. This offers invaluable real-world experience and networking opportunities.
Global Perspective: The BSc Artificial Intelligence and Computer Science program integrate 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 diverse cultural 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 Artificial Intelligence and Computer Science with a Year in Industry program at the University of Sheffield possess a blend of theoretical knowledge and practical experience in AI and computer science, enabling them to pursue diverse and impactful career paths in the tech industry and beyond.
AI Researcher/Scientist: Graduates can work as AI researchers or scientists, contributing to cutting-edge research in AI technologies, exploring new algorithms, and developing innovative AI applications in research institutions or tech companies.
Data Analyst/Scientist: Proficient in data analysis and AI techniques, graduates can pursue careers as data analysts or scientists, analyzing complex datasets, deriving insights, and developing predictive models for data-driven decision-making in various industries.
Software Engineer/Developer: With comprehensive programming skills and AI expertise, graduates can work as software engineers or developers, contributing to the development of AI-based applications, systems, and software solutions.
AI Product Manager: Professionals may work as AI product managers, overseeing the development and implementation of AI-powered products, collaborating with cross-functional teams to align technological advancements with market needs.
Machine Learning Engineer: Graduates can specialize as machine learning engineers, designing and implementing machine learning algorithms, training models, and optimizing systems for improved performance in industries such as finance, healthcare, or cybersecurity.