Data Science and Artificial Intelligence BSc (Hons)

<strong>Overview</strong><br/>Data Science and Artificial Intelligence (AI) is a rapidly evolving field that integrates data analysis, machine learning, statistical modelling, and data visualisation. This programme equips students with essential skills in data manipulation, algorithm development, and ethical considerations, preparing them for careers in data-driven industries.<br/><br/>Course aims:<br/><br/><br/>• Develop an understanding of Data Science and AI applications across industries.<br/><br/><br/><br/>• Explore the evolution and advancements in the field.<br/><br/><br/><br/>• Teach ethical practices, data privacy, and security.<br/><br/><br/><br/>• Enhance programming skills in Python, R, and SQL.<br/><br/><br/><br/>• Provide hands-on experience with real-world data projects.<br/><br/><br/><br/>• Strengthen skills in data visualisation and business intelligence.<br/><br/><br/><br/>Graduates will be well-prepared for technical roles in data analysis, machine learning, and AI-driven decision-making, contributing to business strategy and innovation. This programme also provides a strong foundation for postgraduate studies in Data Science and AI.<br/><br/><strong>Course highlights</strong><br/>• Comprehensive learning experience – students develop intellectual, imaginative, and professional competencies, including problem-solving, communication, and teamwork.<br/><br/><br/><br/>• Strong foundation in data science & AI – the course covers programming, mathematics, software engineering, and AI principles, ensuring adaptability to technological advancements.<br/><br/><br/><br/>• Dedicated Personal Tutors – Year Leaders provide continuous guidance, supporting personal growth and career aspirations.<br/><br/><br/><br/>• High-demand skills development – students gain expertise in data analysis, programming (Python, R, SQL), AI-driven decision-making, and business intelligence.<br/><br/><br/><br/>• Practical & professional experience – hands-on projects, real-world applications, and exposure to ethical and industry standards prepare graduates for dynamic careers. <br/><br/><br/><br/>• Strong career prospects – graduates will excel in data-driven roles, contributing to business strategy, technological innovation, and research.<br/><br/><br/><br/><strong>Careers</strong><br/>Graduates of BSc (Hons) Data Science and Artificial Intelligence can pursue careers in diverse industries, including technology firms, financial institutions, healthcare, retail, government agencies, and consulting firms. Common roles include Data Scientist, Machine Learning Engineer, AI Researcher, Business Intelligence Analyst, Software Engineer, and Data Engineer.<br/><br/>Graduates may find employment in leading global companies such as Google, Amazon, Microsoft, IBM, banks, fintech startups, and healthcare providers, with opportunities in major tech hubs like London, New York, San Francisco, Berlin, and Singapore.<br/><br/>For further study, graduates can pursue MSc or PhD programmes in Data Science, AI, Machine Learning, or Cybersecurity, leading to advanced research and specialised careers in academia or industry innovation. <br/><br/><strong>Course Details</strong><br/><br/>The BSc (Hons) Data Science and Artificial Intelligence programme provides a comprehensive foundation in computing, data science, and AI. Students begin with Introduction to Programming, Software Engineering, and Database Systems, alongside Applied Mathematics and Probability & Statistics to develop analytical skills.<br/><br/>As they progress, they study Data Structures & Algorithms, Network & Cloud Computing, DevOps, and Cloud Architectures, enhancing their technical expertise. Advanced topics include Big Data, Data Engineering, Artificial Intelligence Applications, and Advanced Machine Learning, equipping students with real-world AI and data science competencies.<br/><br/>The course also emphasises professional development, research methods, and ethical computing practices, culminating in a Computing Honours Project, where students apply their knowledge to solve industry challenges.