This BSc (Hons) in AI and Data Science at Glasgow Caledonian University builds your skills in programming, data analysis, machine learning, and data visualisation. You’ll learn how to apply AI and data science methods to real-world challenges in areas such as healthcare, finance, robotics, and autonomous systems.
The BSc (Hons) in AI and Data Science at Glasgow Caledonian University equips students with essential skills in programming, data analysis, machine learning, and data visualization. This program emphasizes the practical application of AI and data science techniques to tackle real-world issues across various sectors, including healthcare, finance, robotics, and autonomous systems.
This honours degree begins with a strong foundation in computing and mathematics, progressively advancing to practical applications of AI and data science. The curriculum typically encompasses a blend of core modules, hands-on programming experiences, and data-centric education, culminating in an extended honours project.
Core areas of study include:
Honours project (final stage): This significant independent project allows students to apply AI and data science methods to a specific problem, guided by academic oversight and evaluation criteria.
Learning approach: Students engage in practical assignments and coursework that evolve from foundational concepts to advanced data and AI applications, fostering teamwork and communication skills through collaborative activities and presentations.
Academic entry requirements may vary based on the type of qualifications and the applicant's background. The university will evaluate prior studies to ensure candidates meet the standards necessary for entry into an honours bachelor’s program. There are generally no GRE or GMAT requirements for this program, and GPA thresholds are not fixed; offers are made based on the overall academic profile.
Graduates of the BSc (Hons) in AI and Data Science can look forward to diverse career opportunities in various industries. Roles may include data analyst, machine learning engineer, software developer, and data scientist. The skills acquired through this program prepare students to contribute effectively to the growing demand for AI and data science professionals in an increasingly data-driven world.
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