Computing (Data Science)

University of Greenwich

Our degree in Computing (Data Science) is designed to provide students with a comprehensive foundation in data science, information retrieval, and machine learning. It will equip you with the skills to apply data science and AI theories, along with data handling techniques, to analyse and solve real-world problems. By integrating computing, analytical techniques, and problem-solving skills, you will be prepared for a diverse range of employment opportunities.Throughout this course, you will gain a deep understanding of the core principles of computing and develop the ability to critically apply this knowledge within a multinational context. The curriculum is structured to ensure that you are well-versed in the latest advancements and applications in the field of Data Science.Indicative modules also cover key areas such as Data Analytics and Visualisation, AI concepts, Algorithms and Data Structures. These subjects are designed to familiarise you with the main concepts, theoretical background, and numerous applications in science and engineering. You will explore a wide range of machine learning approaches and algorithms, evaluating and comparing their performances and suitability for various tasks and data types. Special attention is given to supervised and unsupervised algorithms and their applications in real-world environments, helping you identify and evaluate optimal approaches.By the end of this course, you will be equipped with the skills to analyse complex data, make informed decisions, and contribute to innovative solutions in a global setting. Whether you aim to start a new career, advance in your current role, or enhance your analytical capabilities, our degree in Computing (Data Science) offers the knowledge and expertise needed to succeed in the dynamic field of Data Science.

- Study a course that focuses on solving real-world problems using data-driven techniques- Gain a solid foundation in data science, machine learning and AI- Equip yourself with the expertise needed for diverse career paths- Apply computing knowledge in a multinational environment.