Study Details: 1 Year Full-time
Learn to drive real, impactful solutions to AI concepts across diverse industries with this hands-on course.
The MSc in Artificial Intelligence and Data Science at Edinburgh Napier University is distinctively practical, setting it apart from the more theory-driven programmes offered by other institutions. This course equips professionals with hands-on, industry-relevant skills in data engineering and AI, ensuring graduates can immediately apply their knowledge to real-world challenges. Instead of focusing solely on theory, the programme emphasises practical applications, such as big data systems, machine learning solutions and cutting-edge tasks, which are crucial for implementing AI effectively in any organisation.
Through Edinburgh Napier’s strong research and knowledge-transfer partnerships with industry, students tackle real AI problems directly related to their work environments, enhancing productivity and innovation from day one. This applied approach, combined with a commitment to ethical AI, ensures that graduates don’t just understand AI concepts—they can use them to drive impactful, responsible solutions within diverse sectors, making this programme uniquely career-focused and practically valuable.
The entry requirement for this course is a Bachelor (Honours) Degree at a 2:2 or above in an appropriate numerate field, for example, software development, computing, business analytics, engineering, mathematics, management, economics, physics and other sciences.
Alternatively, other qualifications or experience demonstrating through our recognition of prior learning processes that you have appropriate knowledge and skills at SCQF level 10 may be considered.
We may also consider lesser qualifications if you have sufficient professional work experience within a relevant industry. There will also be an interview for this course if necessary, undertaken by the programme leader, to assess suitability of applicants from a non-standard background.
Recognised Prior Learning
Your application will be considered on an individual basis, taking into consideration your previous study and experience. If you can demonstrate that you have appropriate knowledge and skills at SCQF level 10 you may be able to enter this programme. You will be asked to reflect on your previous experience and demonstrate skills, knowledge and understanding equivalent to that achieved on successful completion of a bachelor’s degree with honours. We will provide you with support in your reflective process through interviews and guidance on presenting your evidence.
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The programme equips graduates with versatile skills, opening doors to diverse career paths across various industries. Graduates may pursue roles such as Data Scientist, analysing data to uncover insights; Machine Learning Engineer, building predictive models; or Data Analyst, creating reports to support business decisions. Other options include Data Engineer, maintaining data pipelines; Business Intelligence Analyst, providing strategic insights; and Quantitative Analyst, applying statistical techniques in finance. Additional roles include AI Researcher, Big Data Engineer, and Data Consultant, offering specialized expertise to drive data-driven decisions. With applications in technology, healthcare, finance, and beyond, these roles position graduates for impactful careers in a data-driven world.
Modules that you will study* as part of this course
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