Introduction

AI and data science are transforming industries — and this programme prepares you to lead that change. Complete your UK honours degree by building on your Higher Diploma or Associate Degree, gaining the practical skills employers are looking for.

What makes this programme different? Flexibility. Choose modules that match your career ambitions — whether that's advanced machine learning and generative AI, big data analytics, or data visualisation and communication. You'll work with industry-standard tools while learning to apply AI responsibly and ethically.

Programme Features

Flexible pathways
Tailor your degree with elective modules that suit your goals

Hands-on learning
Work with real datasets and industry tools in lab sessions

Capstone project
Tackle a real-world AI or data science challenge under supervision

Industry connections
Seminars from tech leaders on AI developments in Hong Kong

Skills workshops
Extra sessions to strengthen your technical competencies
 

Modules

Essentials and Applications of Artificial Intelligence (core)

This module aims to provide an in-depth understanding of Artificial Intelligence (AI) fundamentals, including its history, techniques, and modern applications. This module is an excellent opportunity for students from diverse academic backgrounds to explore this fascinating field. Throughout the module, students will gain hands-on experience in implementing AI solutions using popular programming languages and frameworks while also fostering critical thinking and ethical considerations in the development and application of AI technologies. The module also addresses important ethical, social, and governance aspects of AI, encouraging students to consider the broader implications of AI technology. 

Data Science and AI Individual Project (core) 

This module emphasises practical technical work within a research-informed framework that also takes account of human factors, ethical practice and professional values. Students will apply the technical, practical and analytical skills and knowledge acquired across the programme to build a solution for solving practical real-life problems, under the guidance and supervision of an individual supervisor. 

Professional and Academic Skills (core)

This module is designed to provide students with a comprehensive set of skills necessary for success in both professional and academic environments. By providing a comprehensive understanding of the relationships between people, organizations, information systems, and technology, as well as developing practical skills in communication, teamwork, writing, and research, this module prepares students to effectively navigate the challenges and opportunities they will encounter in their future careers and academic pursuits.

Big Data Analytics (elective*) 

This module provides students insight into concepts, theories and practical skills associated with data analytics and big data. The module is focused on developing students' proficiency in handling large-scale datasets, fostering critical thinking and creativity in designing analytics solutions, and enhancing collaboration and communication skills through group projects and presentations.

Advanced Machine Learning (elective*)

In this module, students will explore knowledge and practical skills in advanced machine learning. We will learn about the architecture and applications of various deep learning models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers. We will also cover reinforcement learning, natural language processing (NLP), and generative AI models, all these being the building blocks of the latest technological advancement in AI, including Large Language Models (LLM). A focus on explainability, fairness in AI, and recent advancements will be included to ensure a comprehensive understanding of contemporary challenges and innovations in the field

Data Visualisation and Communication in Practice (elective*)

This module focuses on the theory and practice of data visualisation and visual communication, emphasising both technical implementation and effective communication of complex data. Students will learn principles of visual perception, design fundamentals, and interactive visualisation techniques while developing practical skills in creating compelling data narratives for diverse audiences.

* You will study one elective module.  To allow students to gain a thorough understanding on the contents and learning outcomes of the elective modules, a briefing session will be provided at the beginning of the programme. The Programme Coordinator will assist students to choose a suitable elective module, taking into account their academic background, interests and career plan. Depending on the students' preference and enrolment number, selected elective(s) will be offered in each academic year.

* You will study one elective module.  To allow students to gain a thorough understanding on the contents and learning outcomes of the elective modules, a briefing session will be provided at the beginning of the programme. The Programme Coordinator will assist students to choose a suitable elective module, taking into account their academic background, interests and career plan. Depending on the students' preference and enrolment number, selected elective(s) will be offered in each academic year.

Assessment

Portfolio, report, presentation, group project

Career Prospects

You'll graduate ready for a diverse range of roles in the growing fields of data science and artificial intelligence. Career opportunities include:
•    Data Analyst
•    Data Engineer
•    AI Engineer
•    Business Intelligence Developer
•    Data and AI Engineer
•    Data and AI Architect 

The programme focuses on practical implementation, ethical considerations, and professional skills. This makes graduates attractive to employers across various sectors, such as technology companies, financial services, healthcare, research organisations, consultancies, retail, manufacturing, and government agencies. 

Graduates can also find exciting opportunities in start-ups and innovation labs, while others choose further academic study or research roles. 

The emphasis on continuous learning and professional development prepares you to adapt to this rapidly evolving field, whether working in specialised technical roles or applying data science and AI capabilities to transform traditional business functions. 
 

Further Studies

This programme’s emphasis on continuous learning and professional development prepares you to adapt to this rapidly evolving field,
    
Graduates of this programme can pursue further studies in relevant Master’s degree programmes at UWE Bristol in the UK such as MSc Information Technology and MSc Data Science.  They may also apply for relevant local postgraduate programmes.

Enquiries

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