MRes Leadership and Strategy
The University of Greater Manchester offers a wide array of undergraduate and postgradu...
BSc (Hons) Artificial Intelligence
Bolton
INTAKE: September
Program Overview
This course offers a comprehensive exploration of AI concepts including machine learning, natural language processing, computer vision, robotics, and data analytics. Students gain practical experience with programming languages, AI frameworks, and software tools used by industry professionals. The program balances theoretical foundations with applied projects, ensuring graduates are equipped to develop innovative AI solutions and contribute effectively to interdisciplinary teams.
Curriculum: The curriculum covers core subjects such as algorithms, data structures, probability and statistics, machine learning, neural networks, and ethics in AI. Students engage in practical modules focusing on AI programming, intelligent agents, and AI system design. The program includes project-based modules and a final-year dissertation or research project, enabling students to explore specialized areas like robotics, cognitive computing, or AI-driven data science. Electives and workshops further support skill diversification and emerging technology exposure.
Research Focus: The University of Greater Manchester is actively involved in cutting-edge AI research, with faculty exploring areas like explainable AI, autonomous systems, human-computer interaction, and AI ethics. Students benefit from this research-rich environment through opportunities to participate in projects, internships, and seminars that deepen their understanding of AI’s societal impacts and technological challenges.
Industry Engagement: Strong links with tech companies, startups, and research institutions provide students with access to internships, placements, and live project collaborations. Industry experts frequently contribute through guest lectures and workshops, bridging academic learning with real-world applications. These connections enhance employability and ensure the curriculum remains aligned with evolving industry needs.
Global Perspective: The program embraces a global outlook on AI development and application, encouraging students to consider cross-cultural, ethical, and societal factors in intelligent system design. International collaborations, exchange programs, and participation in global AI challenges foster a broad worldview, preparing graduates to work in diverse and multicultural professional environments worldwide.
Location
Bolton
Score
IELTS 6
Tuition Fee
£ 15950
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 60% or equivalent in their respective country's grading system.
English language proficiency:
- IELTS: A minimum overall score of 6.0 or 6.5 with no individual component below 5.5.
- TOEFL: A minimum overall score of 80.
- PTE Academic: A minimum overall score of 59.
- Some 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.
Graduates of the BSc (Hons) Artificial Intelligence program at the University of Greater Manchester develop strong analytical, programming, and problem-solving skills, preparing them for diverse and high-demand roles in the rapidly evolving technology sector.
Machine Learning Engineer: Designing and implementing algorithms that enable machines to learn from data and improve over time, working in sectors like finance, healthcare, and autonomous systems.
Data Scientist: Analyzing large datasets to extract insights, build predictive models, and support data-driven decision-making in business and research environments.
AI Research Scientist: Conducting research to advance the theoretical and practical aspects of AI, contributing to innovations in areas such as natural language processing and computer vision.
Robotics Engineer: Developing intelligent robots that interact with their environments, integrating AI with mechanical and electrical engineering disciplines.
Computer Vision Specialist: Creating systems that interpret and analyze visual information from images and videos, applicable in security, healthcare imaging, and autonomous vehicles.
Natural Language Processing (NLP) Engineer: Building applications that enable machines to understand, interpret, and generate human language, used in chatbots, virtual assistants, and translation tools.
AI Ethics Specialist: Addressing ethical concerns in AI development and deployment, ensuring responsible and fair use of AI technologies.
Software Developer with AI Specialization: Developing AI-powered software applications, combining traditional programming with machine learning and intelligent system design.
Business Intelligence Analyst: Leveraging AI and data analytics to guide strategic business decisions, optimize operations, and improve customer experiences.
AI Consultant: Advising organizations on AI adoption strategies, implementation challenges, and technological integration to enhance business outcomes.
