MRes Leadership and Strategy
The University of Greater Manchester offers a wide array of undergraduate and postgradu...
MSc Artificial Intelligence: Extended
Bolton
INTAKE: January
Program Overview
The extended 18-month MSc in Artificial Intelligence at the University of Greater Manchester offers a more comprehensive and in-depth postgraduate education in AI compared to a traditional one-year program. This extended duration allows for a deeper exploration of core AI concepts, advanced techniques, and provides more opportunities for practical application, specialization, and potentially industrial experience or research. The program is designed for graduates with a strong quantitative background seeking to develop advanced skills in artificial intelligence.
Curriculum: The curriculum of the extended MSc in Artificial Intelligence is structured to provide a robust foundation in the mathematical and computational principles underlying AI, followed by in-depth study of key AI domains. Core modules typically cover machine learning, deep learning, natural language processing, computer vision, robotics, intelligent agents, and ethical considerations in AI. The extended duration often allows for a wider range of specialized elective modules, enabling students to tailor their learning to specific areas of interest within AI. A significant component of the program is a substantial individual or team-based project, and potentially an industrial placement or a more in-depth research dissertation, providing extensive practical experience and the opportunity to apply learned concepts to real-world problems.
Research Focus: The extended MSc in Artificial Intelligence program benefits from a research-informed teaching approach, with faculty often actively involved in cutting-edge research in various areas of AI, such as explainable AI, reinforcement learning, human-robot interaction, and ethical AI development. The extended duration may provide students with more opportunities to engage with research, potentially through a more substantial research-based project or dissertation, fostering critical thinking and the application of research methodologies to solve complex AI challenges.
Industry Engagement: Recognizing the immense demand for AI expertise across various industries, the extended MSc program often emphasizes strong industry engagement. This can include guest lectures from AI professionals working in leading technology companies, case studies based on real-world AI applications, workshops on industry-standard AI tools and platforms, and potentially opportunities for internships or collaborative projects with technology companies and research institutions. The aim is to ensure that graduates are equipped with the practical skills and industry insights highly valued by employers in the rapidly growing AI sector.
Global Perspective: Artificial intelligence is a global field with international research collaborations, global markets, and worldwide ethical and societal implications. The extended MSc program often incorporates a global perspective by examining international AI research trends, exploring the global landscape of AI development and deployment, and discussing the ethical and societal challenges of AI from a global standpoint. The diverse student body, including international students, can also contribute to a broader understanding of global AI research and development perspectives.
Location
Bolton
Score
IELTS 6.5
Tuition Fee
£ 15950
Postgraduate Entry Requirements
Academic Qualifications: 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:
- IELTS: A minimum overall score of 6.5 or 7.0 with no individual component below 6.0.
- TOEFL: A minimum overall score of 79.
- PTE Academic: A minimum overall score of 59.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
The University of Greater Manchester offers a variety of scholarships to support international students in financing their education. These scholarships are designed to reward academic excellence and assist students in pursuing their studies in the UK.
Global Futures Scholarships: The university provides the Global Futures Scholarships, which offer financial support to international students. These scholarships are available to both undergraduate and master's students holding an offer for full-time study on campus in Manchester.
Equity and Merit Scholarships: The university offers Equity and Merit Scholarships to academically excellent international students. These scholarships are available to postgraduate taught students commencing their studies. The scholarships aim to support students who demonstrate strong academic performance and their chosen field of study.
Engineering the Future Scholarships: The School of Engineering at the University of Greater Manchester provides scholarship awards to academically excellent international students commencing their postgraduate taught studies. These scholarships aim to support students pursuing careers in engineering and related fields.
Graduates from the extended 18-month MSc Artificial Intelligence program at the University of Greater Manchester acquire a deeper and more specialized understanding of AI, often coupled with significant project experience or research. This advanced qualification positions them for leadership roles and specialized careers in the rapidly expanding field of artificial intelligence.
AI Research Scientist: Graduates can work in academic institutions or research labs, pushing the boundaries of AI knowledge and developing novel algorithms and techniques.
Machine Learning Engineer (Senior/Lead): With a comprehensive understanding of machine learning principles and practical application, graduates can lead the development and deployment of complex ML models.
Deep Learning Engineer: Specializing in neural networks and deep learning architectures, graduates can work on cutting-edge applications in areas like computer vision, natural language processing, and robotics.
AI Architect: Graduates can design the overall AI infrastructure and strategy for organizations, ensuring scalability, efficiency, and ethical considerations are integrated.
Natural Language Processing (NLP) Scientist/Engineer: Graduates can develop AI systems that understand, interpret, and generate human language, powering applications like chatbots, translation services, and sentiment analysis.
Computer Vision Engineer: Graduates can develop AI systems that can "see" and interpret images and videos, with applications in autonomous vehicles, security, and medical imaging.
Robotics Engineer (with AI Focus): Graduates can integrate AI algorithms into robotic systems, enabling them to perform complex tasks autonomously and intelligently.
AI Ethics and Governance Specialist: With a deep understanding of the ethical and societal implications of AI, graduates can work on developing guidelines and frameworks for responsible AI development and deployment.
AI Consultant (Expert Level): Graduates can provide expert advice and strategic guidance to organizations on how to leverage AI to solve business problems and drive innovation.
AI Product Manager: Graduates can lead the development and strategy of AI-powered products, understanding both the technical and business aspects of AI applications.
