MSc Accounting & Finance
Sheffield Hallam University, located in the vibrant city of Sheffield in the United Kin...
Sheffield Hallam - City Campus
INTAKE: Jan & Sept
The MSc in Artificial Intelligence at Sheffield Hallam University is a comprehensive program that offers students a deep understanding of the principles, theories, and applications of artificial intelligence.
Core Concepts: The program begins with a strong foundation in core concepts of artificial intelligence, including machine learning, neural networks, and natural language processing.
Data Science: Students learn the art of data analysis and data-driven decision-making, a crucial aspect of AI development.
Programming and Tools: The curriculum includes programming courses that teach students how to code and develop AI applications using languages such as Python and tools like TensorFlow and PyTorch.
AI Ethics and Responsible AI: Sheffield Hallam emphasizes the importance of AI ethics and responsible AI development, ensuring that students are aware of the ethical implications of AI technologies.
Deep Learning: Students delve into deep learning techniques, exploring advanced neural network architectures and applications.
Computer Vision: The program often includes modules on computer vision, enabling students to work on projects related to image and video analysis.
Natural Language Processing: Students learn about natural language processing and its applications in fields such as chatbots and language translation.
Robotics and Automation: Depending on the program structure, students may have the opportunity to explore robotics and automation technologies.
AI Project Work: Many programs include a substantial project component where students work on real-world AI projects, applying their knowledge to solve practical problems.
Research and Dissertation: The program may offer students the chance to engage in research activities, including a dissertation on a specialized AI topic.
Industry Collaboration: Sheffield Hallam University often collaborates with industry partners, offering students opportunities for internships, work placements, or industry-sponsored projects.
Sheffield Hallam - City Campus
IELTS 6.5
£ 16385
Postgraduate Entry Requirements:
Academic Qualifications: International students applying for postgraduate programs at Sheffield Hallam University are typically required to have a minimum academic achievement of 60% or above in their undergraduate degree or equivalent qualifications.
English language proficiency:English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
Students must provide:
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.
Sheffield Hallam University offers a range of scholarships to international students to support their academic journey and recognize their achievements. These scholarships are designed to provide financial assistance and enhance the overall student experience.
It's important to note that scholarship availability, eligibility criteria, and application processes may vary from year to year.
Graduates of the MSc in Artificial Intelligence from Sheffield Hallam University are well-positioned for rewarding careers in the AI sector, which continues to experience significant growth.
Machine Learning Engineer: Graduates can work as machine learning engineers, developing and optimizing machine learning models for various applications.
Data Scientist: Opportunities exist as data scientists, where graduates analyze and interpret complex datasets to extract valuable insights.
AI Researcher: Graduates interested in research can pursue roles as AI researchers, contributing to advancements in artificial intelligence.
AI Developer: Many graduates become AI developers, creating AI-powered software, applications, and chatbots.
Natural Language Processing Specialist: Those with expertise in natural language processing can work on language-related AI projects or as language technology specialists.
Computer Vision Engineer: Graduates can specialize in computer vision, working on projects related to image and video analysis, facial recognition, and autonomous vehicles.
AI Consultant: Opportunities exist as AI consultants, advising businesses on implementing AI strategies and solutions.
AI Ethics Officer: Some graduates may choose roles focused on AI ethics, ensuring that AI technologies are developed and used responsibly.
Robotics Engineer: For those interested in robotics, careers as robotics engineers involve designing and developing robotic systems.
AI Entrepreneurship: Ambitious graduates may opt to start their AI-related ventures or join startups in leadership roles.