In the first year, you'll cover the foundational aspects of AI. You will learn algorithm design and programming in Python, gaining insights into algorithms, data structures, problem analysis, and software testing. Additionally, you will delve into applications of AI by creating C++ Windows platform applications and interfacing with AI bots like Pepper, Alexa, or Siri. Students also explore cloud computing and cyber security using Amazon Web Services (AWS) and comprehend computer architecture and operating systems.
Building on the groundwork, the second year delves deeper into advanced AI techniques. You'll critically evaluate and apply machine learning and data mining methodologies to analyse data patterns. You will develop proficiency in advanced machine learning, creating artificial neural networks (ANN) for real-world applications. You will also look at data analytics beyond traditional database management systems and learn essential programming techniques in Java or C#. You’ll engage in professional practice and project management to hone your skills as well.
The final year is dedicated to specialised areas and applied AI concepts. You'll delve into advanced data science, uncovering latent patterns in raw data, pivotal for informed business decisions. You’ll explore the intricacies of natural language processing (NLP), becoming immersed in text mining and technology utilisation. Additionally, you will focus on computer vision, learning to extract information from images or video data. You will apply your knowledge and skills by undertaking comprehensive projects, showcasing your adeptness in analysing intricate problems and proposing innovative AI solutions.
You will also complete a final project, which will be negotiated between you and your supervisor. This project will delve into the specialist knowledge you have acquired throughout the course.
In the first year, students cover the foundational aspects of AI. You will learn algorithm design and programming in Python, gaining insights into algorithms, data structures, problem analysis, and software testing. Additionally, you will delve into applications of AI by creating C++ Windows platform applications and interfacing with AI bots like Pepper, Alexa, or Siri. Students also explore cloud computing and cyber security using Amazon Web Services (AWS) and comprehend computer architecture and operating systems.
Building on the groundwork, the second year delves deeper into advanced AI techniques. Students critically evaluate and apply machine learning and data mining methodologies to analyse data patterns. You will develop proficiency in advanced machine learning, creating artificial neural networks (ANN) for real-world applications. Students also look at data analytics beyond traditional database management systems and learn essential programming techniques in Java or C#. You’ll engage in professional practice and project management to hone your skills as well.
The final year is dedicated to specialised areas and applied AI concepts. Students delve into advanced data science, uncovering latent patterns in raw data, pivotal for informed business decisions. You’ll explore the intricacies of natural language processing (NLP), becoming immersed in text mining and technology utilisation. Additionally, students focus on computer vision, learning to extract information from images or video data. You will apply your knowledge and skills by undertaking comprehensive projects, showcasing your adeptness in analysing intricate problems and proposing innovative AI solutions.
You will also complete a Final Project, which will be negotiated between you and your supervisor. This project will delve into the specialist knowledge you have acquired throughout the course.
Academic year
In the first year, students cover the foundational aspects of AI. You will learn algorithm design and programming in Python, gaining insights into algorithms, data structures, problem analysis, and software testing. Additionally, you will delve into applications of AI by creating C++ Windows platform applications and interfacing with AI bots like Pepper, Alexa, or Siri. Students also explore cloud computing and cyber security using Amazon Web Services (AWS) and comprehend computer architecture and operating systems.
Building on the groundwork, the second year delves deeper into advanced AI techniques. Students critically evaluate and apply machine learning and data mining methodologies to analyse data patterns. You will develop proficiency in advanced machine learning, creating artificial neural networks (ANN) for real-world applications. Students also look at data analytics beyond traditional database management systems and learn essential programming techniques in Java or C#. You’ll engage in professional practice and project management to hone your skills as well.
The final year is dedicated to specialised areas and applied AI concepts. Students delve into advanced data science, uncovering latent patterns in raw data, pivotal for informed business decisions. You’ll explore the intricacies of natural language processing (NLP), becoming immersed in text mining and technology utilisation. Additionally, students focus on computer vision, learning to extract information from images or video data. You will apply your knowledge and skills by undertaking comprehensive projects, showcasing your adeptness in analysing intricate problems and proposing innovative AI solutions.
You will also complete a Final Project, which will be negotiated between you and your supervisor. This project will delve into the specialist knowledge you have acquired throughout the course.
Academic year
Professional body accreditation
Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
Accredited by BCS, the Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer.
This course is accredited as 'Tech Industry Gold' by the Tech Partnership Degrees. This identifies courses defined and backed by the Tech industry for quality and relevance to technology careers. Tech Industry Gold degrees blend the technical, business and interpersonal skills most valued by employers.
Professional body accreditation
Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
Accredited by BCS, the Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer.
This course is accredited as 'Tech Industry Gold' by the Tech Partnership Degrees. This identifies courses defined and backed by the Tech industry for quality and relevance to technology careers. Tech Industry Gold degrees blend the technical, business and interpersonal skills most valued by employers.
Professional body accreditation
Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
Accredited by BCS, the Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer.
This course is accredited as 'Tech Industry Gold' by the Tech Partnership Degrees. This identifies courses defined and backed by the Tech industry for quality and relevance to technology careers. Tech Industry Gold degrees blend the technical, business and interpersonal skills most valued by employers.