Enter OTP
3 Years On Campus Bachelors Program
Leeds Trinity UniversityThis course aims to equip you with a comprehensive understanding of the fundamental principles underlying AI, machine learning, optimization techniques, and deep learning. Additionally, you will gain practical experience using tools and methods applied in the field of AI.
Experienced academic professionals with industry backgrounds will introduce you to a wide range of subjects, including Mobile Application Development, Software Development, Database Systems, AI and Machine Learning, DevOps and MLOps, and AI and Security.
Throughout the program, you will develop a deep comprehension of computing and AI, exploring the inner workings of computers and the development of algorithms. You will investigate the current engineering, industrial, and commercial applications of AI and utilize contemporary research to identify market gaps and develop innovative solutions.
This degree program heavily relies on large datasets (big data) and the application of AI, data science, and computational and mathematical modeling. You will learn how to analyze data, provide data-driven insights, and make informed decisions.
Practical, real-world applications of AI will be emphasized through hands-on projects and assignments, allowing you to apply your knowledge effectively. Furthermore, you will have the opportunity to complete professional work placements, enabling you to gain valuable and relevant experience.
Upon graduation, you will possess both technical and soft skills necessary for a successful career in computer science or AI. These include communication, teamwork, problem-solving, and digital literacy, in addition to the required technical and programming skills.
For the old GCSE system we require grade C or above and for the new GCSE grading system we will accept grade 4 or higher in both English Language and Maths, A Levels, BTECs and accredited Access courses, value highly the experience you illustrate in your personal statement, IELTS 6.0 overall with a minimum of 5.5 in each component.
Machine learning researcherSoftware developmentincluding program management and testData mining and analysis
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