MRes Leadership and Strategy
The University of Greater Manchester offers a wide array of undergraduate and postgradu...
MSc Artificial Intelligence
Bolton
INTAKE: September
Program Overview
The MSc Artificial Intelligence program provides a thorough grounding in the core principles and techniques of artificial intelligence. It aims to develop graduates who can understand, design, implement, and evaluate intelligent systems. The program typically covers fundamental AI concepts, including problem-solving, knowledge representation, and search algorithms, before progressing to more advanced topics such as machine learning (supervised, unsupervised, and reinforcement learning), deep learning architectures (CNNs, RNNs), natural language processing (NLP), computer vision, and robotics. The curriculum often incorporates practical programming exercises, projects, and case studies to reinforce theoretical learning and develop hands-on skills in AI development using relevant tools and technologies.
Curriculum: The curriculum of the MSc Artificial Intelligence program is carefully structured to provide a strong theoretical foundation in AI alongside the development of practical implementation skills. Core modules generally cover topics such as the foundations of artificial intelligence, machine learning principles and algorithms, deep learning techniques, natural language processing, computer vision, and intelligent robotics. Students may also have opportunities to specialize through elective modules in areas like ethical AI, AI for healthcare, or advanced machine learning. A significant component of the program is typically a substantial research project or dissertation, allowing students to apply their knowledge and skills to a specific AI problem, conduct independent research, and develop their analytical and problem-solving abilities.
Research Focus: The MSc Artificial Intelligence program is delivered by faculty who are actively engaged in research within various domains of artificial intelligence. This ensures that the curriculum is informed by the latest advancements and research findings in the field. The program emphasizes the importance of research in driving innovation in AI and encourages students to engage with research methodologies and contribute to the knowledge base through their projects and dissertations. Research areas within the program may include explainable AI, reinforcement learning for complex systems, natural language understanding, and the application of AI in specific domains such as healthcare, finance, or autonomous systems.
Industry Engagement: Recognizing the strong industry demand for AI professionals, the University of Greater Manchester often incorporates industry engagement into its MSc Artificial Intelligence program. This may include guest lectures from AI practitioners and researchers in industry, opportunities for industry-based projects or internships, and case studies that address real-world AI challenges faced by organizations. The program aims to equip graduates with the practical skills and industry insights that are highly valued by employers in the rapidly growing AI sector. Networking opportunities with industry professionals may also be facilitated through university events and career services.
Global Perspective: The field of Artificial Intelligence is inherently global, with research, development, and applications spanning across international borders. The MSc Artificial Intelligence program at the University of Greater Manchester often incorporates a global perspective by exploring international research trends, the global AI market, and the ethical and societal implications of AI on a global scale. The curriculum may include case studies and examples from various countries and consider the challenges and opportunities of deploying AI solutions in diverse cultural and regulatory environments. The diverse student body, including international students, also contributes to a broader understanding of global perspectives within the field of AI.
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.
The MSc Artificial Intelligence program at the University of Greater Manchester is specifically designed to cultivate highly skilled professionals capable of developing and deploying intelligent systems across a multitude of industries. Graduates of this program are well-positioned to pursue a variety of cutting-edge and in-demand career paths.
AI Scientist/Researcher: With a strong theoretical foundation and research skills, graduates can work in research and development roles in academia or industry, pushing the boundaries of AI and developing novel algorithms and techniques.
Data Scientist: Leveraging their AI and statistical knowledge, graduates can analyze large datasets, extract meaningful insights, and build AI-powered solutions to address business challenges and drive data-driven decision-making.
Natural Language Processing (NLP) Engineer: Graduates can specialize in developing systems that understand, interpret, and generate human language, working on applications like chatbots, machine translation, and sentiment analysis.
Computer Vision Engineer: Focusing on enabling machines to "see" and interpret visual information, graduates can work on applications such as image recognition, object detection, and autonomous driving systems.
Robotics Engineer (with AI Focus): Combining AI skills with robotics knowledge, graduates can develop intelligent robots capable of perception, planning, and decision-making for applications in manufacturing, logistics, and healthcare.
AI Ethics and Governance Specialist: With a growing emphasis on responsible AI, graduates can work on developing ethical guidelines, frameworks, and policies for the development and deployment of AI systems within organizations or regulatory bodies.
AI Product Manager: Graduates with a blend of technical understanding and business acumen can lead the development and launch of AI-powered products and services, defining product strategy and roadmap.
AI Consultant: Leveraging their expertise in AI technologies and applications, graduates can provide consultancy services to businesses, helping them identify opportunities for AI adoption and implement AI solutions.
AI Entrepreneur: With a strong understanding of AI and its potential, graduates can launch their own AI-focused startups, developing innovative AI-powered products or services to address specific market needs.
