The Bachelor of Science in Artificial Intelligence and Data Science is an innovative and forward-thinking undergraduate program designed to equip students with the knowledge and technical expertise necessary to thrive in today’s data-driven and AI-powered world. The program combines core principles of computer science, mathematics, and statistics with advanced topics in machine learning, data analytics, and artificial intelligence.
Through hands-on projects, problem-based learning, and real-world case studies, students develop practical skills in data analysis, deep learning, algorithmic thinking, and AI application development. Graduates are well-prepared for careers in AI development, data science, business intelligence, and technology innovation.
BSc (Hons) Artificial Intelligence and Data Science
3 Years
Bachelor's Degree
| Study Mode | Delivery Mode | Language | Credits | ECTS |
|---|---|---|---|---|
| Full Time / Part Time | Live (Online) Delivery | English | 360 | 180 |
BSc in Computer Science
|
|---|
| Year 1 |
| Core Modules |
| • The Computing Challenge |
| • Ethics, Data and Professionalism |
| • Machine Learning Foundations |
| • Maths and Statistics for AI and Data Science |
| • Programming |
| • Systems Analysis and Database Design |
| Year 2 |
| Core Modules: |
| • Programming for Data |
| • Artificial Intelligence |
| • Data Science |
| • Computational Maths and Simulation |
| • The Agile Professional |
| Year 3 |
| Core Modules: |
| • Applications of AI and Data Science |
| • Negotiated Specialism |
| • Deep Learning |
| • Data Visualisation |
| • Project (Double) |
| BSc (Hons) Artificial Intelligence and Data Science |
- Develop foundational and advanced competencies in artificial intelligence, data science, and computational thinking.
- Provide practical experience in data handling, algorithm development, machine learning, and deep learning techniques.
- Build analytical and mathematical skills essential for understanding data models and AI systems.
- Encourage critical thinking, ethical decision-making, and professional integrity in AI applications.
- Enable students to undertake independent research and contribute to data-driven innovations.
- Secondary School Completion Certificate or Level 3 equivalent
- Proficiency in English (IELTS 5.5 or equivalent)
- Prior knowledge of basic mathematics and computing is recommended
- Non-traditional learners with relevant industry experience may be considered on a case-by-case basis
Graduates can pursue careers in roles such as:
- Data Scientist
- Machine Learning Engineer
- AI Developer
- Business Intelligence Analyst
- Data Analyst
- AI Research Assistant
- Software Engineer (AI and Analytics)
- Predictive Modelling Analyst
- Cloud Data Engineer
This program prepares graduates for:
- Master's degrees in Artificial Intelligence, Data Science, Computer Science, or Big Data Analytics
Professional certifications in:
- TensorFlow, PyTorch
- Microsoft Certified: Azure AI Engineer
- Google Cloud Data Engineering
- IBM Data Science
- AWS Machine Learning Specialty
- DataCamp, Coursera or Udemy Professional Tracks
Every effort has been made to ensure the accuracy of this course information. However, all academic programs are subject to periodic review and development. Changes may occur to comply with accreditation standards, student feedback, or to reflect advancements in the field. The program team reserves the right to update modules or structures in the best interest of learners.