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Edinburgh Napier University: Artificial Intelligence and Data Science
| Institution | Edinburgh Napier University |
|---|---|
| Department | School of Computing, Engineering and the Built Environment |
| Web | http://www.napier.ac.uk |
| Study type | Taught |
Summary
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.
Master of Science - MSc (PG)
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | The entry requirement for this course is a Bachelor (Honours) Degree at a 2:2 or above in any discipline. However, 30% of the modules studied in the degree must be Computing related. If you do not have 30% computing modules studied in the degree but have a minimum of 2 years programming/computing related work experience, you may still be considered. 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. |
| Location | Merchiston Campus 10 Colinton Road Edinburgh EH10 5DT |
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | The entry requirement for this course is a Bachelor (Honours) Degree at a 2:2 or above in any discipline. However, 30% of the modules studied in the degree must be Computing related. If you do not have 30% computing modules studied in the degree but have a minimum of 2 years programming/computing related work experience, you may still be considered. 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. |
| Location | Merchiston Campus 10 Colinton Road Edinburgh EH10 5DT |
| Level | SCQF Level 11 |
|---|---|
| Location | Merchiston Campus 10 Colinton Road Edinburgh EH10 5DT |
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