Artificial Intelligence BSc
Artificial Intelligence (AI) is a rapidly growing field that has the potential to revolutionise the way we live and work. It involves the development of intelligent computer systems that can perform tasks that would normally require human intelligence. This course is designed to provide an in-depth introduction to the field of AI, its concepts, applications, and ethical considerations.
The aim is to give students a strong foundation in the fundamentals of AI and an understanding of how it can be applied to solve real-world problems. Through lectures, practical exercises, and projects, students will have the opportunity to explore the latest advances in the field and develop their own AI-based solutions. By the end of the course, students will have a solid understanding of the key concepts and techniques in AI, as well as the ability to analyse, design, and implement AI systems.
Artificial Intelligence (AI) is one of the most exciting and rapidly growing fields in computer science. This course provides an introduction to the field of AI and covers a range of topics from fundamental concepts, to current trends and future directions.
Students will learn the history and evolution of AI, including the early days of AI research, to current state-of-the-art systems. The course will introduce students to fundamental AI concepts, including expert systems, machine learning, natural language processing, computer vision, and robotics. Students will also learn about the latest trends in AI research, including deep learning, reinforcement learning, and neural networks.
In this course, students will apply AI techniques to real-world problems, using a combination of hands-on programming projects and case studies. Students will also have the opportunity to explore the ethical and social implications of AI, including the impact of AI on employment, privacy, and security.
This course is designed for computer science and engineering students who are interested in AI, as well as for students from other fields who want to learn about the exciting developments in this rapidly growing field. The course requires a solid background in computer science and programming, but no prior experience with AI is required.
Upon completion of this course, students will have a solid understanding of the field of AI, including its history, fundamentals, and current trends. They will also have hands-on experience applying AI techniques to real-world problems and be equipped to further explore this exciting field.
I recently graduated with a degree in Artificial Intelligence and I couldn't be happier with my decision.
Entry requirements
UCAS tariff points from A-levels
- A-levels: typically AAA, including Maths and/or Physics (or equivalent)
- BTEC: DDD in a relevant subject.
- Access to HE Diploma: A minimum of 30 Level 3 credits at Distinction, including 15 credits in Mathematics and 15 credits in another relevant subject.
- For further information about UK qualifications, please contact admissions.
For the first year of a full-time or sandwich undergraduate course, all students must apply through UCAS (University and Colleges Admissions Service). This includes mature, overseas, and EU students.
Most schools provide students with the option to apply electronically through the UCAS website. This can also be used by individuals applying independently within the UK and abroad. All relevant information regarding this facility and courses can be accessed on the UCAS website.
To enter a course the following autumn, be sure to submit your application to UCAS by 26 January. It is advisable to apply early for popular subject areas. Late applications can be submitted until the end of June.
If English is not your first language, you will need to show that you have an approved level of proficiency in English. The minimum requirements for this course are as follows:
- IELTS minimum 6.0 overall with a minimum of 5.5 in each individual component
- TOEFL IBT minimum 80 with a minimum of 20 in each individual component
Before enrolling, we check your qualifications. If you are an international student, make sure to bring your original certificates or certified copies when you come to study at the University.
If you require a visa:
Please note that the English language requirements to attend Ludlow University and to obtain a visa from the Home Office may differ for international applicants. This means that even if you meet the Ludlow University language requirement to gain a place on the course, you may still need to meet further requirements to be granted a visa by the Home Office.
UCAS tariff points from A-levels
- International Baccalaureate: typically 36 points overall, with 6,6,5 in Higher Level subjects including Maths and/or Physics (or equivalent).
- High School Diploma or equivalent with a minimum GPA of 3.0 or above.
- SAT: A minimum score of 1300 (with a minimum of 650 in Maths).
- ACT: A minimum score of 28 (with a minimum of 28 in Maths).
- For further information about UK qualification equivalents, please contact admissions.
For the first year of a full-time or sandwich undergraduate course, all students must apply through UCAS (University and Colleges Admissions Service). This includes mature, overseas, and EU students.
Most schools provide students with the option to apply electronically through the UCAS website. This can also be used by individuals applying independently within the UK and abroad. All relevant information regarding this facility and courses can be accessed on the UCAS website.
To enter a course the following autumn, be sure to submit your application to UCAS by 26 January. It is advisable to apply early for popular subject areas. Late applications can be submitted until the end of June.
If English is not your first language, you will need to show that you have an approved level of proficiency in English. The minimum requirements for this course are as follows:
- IELTS minimum 6.0 overall with a minimum of 5.5 in each individual component
- TOEFL IBT minimum 80 with a minimum of 20 in each individual component
Before enrolling, we check your qualifications. If you are an international student, make sure to bring your original certificates or certified copies when you come to study at the University.
If you require a visa:
Please note that the English language requirements to attend Ludlow University and to obtain a visa from the Home Office may differ for international applicants. This means that even if you meet the Ludlow University language requirement to gain a place on the course, you may still need to meet further requirements to be granted a visa by the Home Office.
UCAS tariff points from A-levels
- Other qualifications and experience may be considered on a case-by-case basis, such as relevant vocational qualifications, work experience or professional qualifications.
- For further information about UK qualification equivalents or relevant experience, please contact admissions.
For the first year of a full-time or sandwich undergraduate course, all students must apply through UCAS (University and Colleges Admissions Service). This includes mature, overseas, and EU students.
Most schools provide students with the option to apply electronically through the UCAS website. This can also be used by individuals applying independently within the UK and abroad. All relevant information regarding this facility and courses can be accessed on the UCAS website.
To enter a course the following autumn, be sure to submit your application to UCAS by 26 January. It is advisable to apply early for popular subject areas. Late applications can be submitted until the end of June.
If English is not your first language, you will need to show that you have an approved level of proficiency in English. The minimum requirements for this course are as follows:
- IELTS minimum 6.0 overall with a minimum of 5.5 in each individual component
- TOEFL IBT minimum 80 with a minimum of 20 in each individual component
Before enrolling, we check your qualifications. If you are an international student, make sure to bring your original certificates or certified copies when you come to study at the University.
If you require a visa:
Please note that the English language requirements to attend Ludlow University and to obtain a visa from the Home Office may differ for international applicants. This means that even if you meet the Ludlow University language requirement to gain a place on the course, you may still need to meet further requirements to be granted a visa by the Home Office.
What you'll learn
This syllabus provides an introductory overview of Artificial Intelligence (AI) and its various applications. Students will explore the fundamental concepts, theories, and techniques used in AI, including machine learning, natural language processing, computer vision, and intelligent agents. Through a combination of lectures, hands-on projects, and discussions, students will develop a solid foundation in AI and gain practical skills to solve real-world problems using AI techniques.
This module covers the basics of AI and its history, including its evolution and current state of the field.
This module explores various machine learning algorithms, including supervised and unsupervised learning, decision trees, and artificial neural networks.
This module focuses on the study of how computers can process, understand, and generate human language.
This module explores the intersection of AI and robotics, including computer vision, object recognition, and navigation.
This module focuses on how AI systems can represent and manipulate knowledge to reason about the world.
This module explores the development of AI systems that can solve problems and make decisions in a particular domain, using expert knowledge and reasoning.
This module explores the application of AI in video games, including decision-making and strategic planning.
This module explores ethical considerations and the social and economic impacts of AI, including privacy, transparency, and bias.
This module explores advanced techniques in deep learning, including convolutional neural networks and recurrent neural networks,.
This module explores the use of AI in big data analytics, including data mining and predictive modelling.
This module would cover advanced neural network architectures and training techniques used in deep learning, such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
This module would focus on learning from interactions with an environment, including topics such as value functions, policy gradients, and Q-learning.
This module would cover techniques for processing and understanding human language, including topics such as word embeddings, sequence-to-sequence models, and attention mechanisms.
This module would cover advanced techniques for processing visual information, including topics such as object detection, image segmentation, and semantic segmentation.
This module would cover probabilistic graphical models and their use in modeling uncertainty and making decisions under uncertainty.
This module would cover optimisation techniques inspired by biological evolution, such as genetic algorithms, genetic programming, and artificial life.
This module would cover the design and analysis of systems composed of multiple intelligent agents, including topics such as game theory, coordination, and communication.
This module would cover the application of AI techniques to robotics, including topics such as perception, control, and planning.
How you'll be assessed
For the first year of a full-time or sandwich undergraduate course, all students must apply through UCAS (University and Colleges Admissions Service). This includes mature, overseas, and EU students.
Most schools provide students with the option to apply electronically through the UCAS website. This can also be used by individuals applying independently within the UK and abroad. All relevant information regarding this facility and courses can be accessed on the UCAS website.
To enter a course the following autumn, be sure to submit your application to UCAS by 26 January. It is advisable to apply early for popular subject areas. Late applications can be submitted until the end of June.
Careers
Students who complete a degree in Artificial Intelligence from Ludlow University have a wide range of career options available to them. They can work as AI developers, data scientists, machine learning engineers, robotics engineers, AI consultants, and research scientists in various industries such as healthcare, finance, technology, and manufacturing. They can also work in government agencies, non-profit organisations, and academic institutions.
The demand for AI professionals is increasing rapidly, and Ludlow University's program prepares students with the skills and knowledge required to excel in this field. Graduates can expect exciting and challenging career paths with high earning potential and the opportunity to make a significant impact on society.
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