Artificial Intelligence and Data Science MSc
| Program start date | Application deadline |
| 2024-09-01 | - |
| 2025-01-01 | - |
| 2026-01-01 | - |
| 2027-01-01 | - |
Program Overview
MSc Artificial Intelligence and Data Science
Overview
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.
Mode of Study:
- Full-time
Duration:
- 1 year
Start date:
- September
- January
Course details
Students choosing Edinburgh Napier's MSc Artificial Intelligence and Data Science gain critical skills to excel in data-driven careers across diverse industries. The programme offers hands-on training in data analytics, machine learning, and visualisation, preparing graduates to tackle complex data challenges with confidence.
How you’ll be taught
This programme provides a well-rounded learning experience through a combination of lectures, practical labs, group discussions, supervision, and workshops.
Assessments
Assignments in the MSc Artificial Intelligence and Data Science programme are designed to reflect the types of challenges data scientists face in the industry, combining technical and analytical skills.
- Data Analysis Projects
- Machine Learning Modelling
- Data Visualisation and Reporting
- Case Studies
- Dissertation Project
Facilities
The programme incorporates several practical elements designed to build students' hands-on skills and prepare them for real-world data science roles.
- Computer labs
- Robot Lab
- Library resources
Modules
- Artificial Intelligence (SET11125)
- Business Intelligence and Reporting for Enterprises (CSI11100)
- Computational Intelligence (SET11127)
- Data Analytics (SET11122)
- Data Management & Processing (SET11126)
- Masters Dissertation (SOC11101)
- Scripting for Natural Language Processing (SET11128)
Entry requirements
- The entry requirement for this course is a Bachelor (Honours) Degree at a 2:2 or above in an appropriate numerate field.
- 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.
International students
We welcome applications from students studying a wide range of international qualifications.
Admissions policies
We’re committed to admitting students who have the potential to succeed and benefit from our programmes of study.
Fees & funding
- Tuition fees for 2024/25:
- Scotland, England, Wales, Northern Ireland, and Republic of Ireland: £7,280
- Overseas and EU: £20,395
- The University offers a 20% discount on Postgraduate Taught Masters programmes to its alumni.
Careers
The programme equips graduates with versatile skills, opening doors to diverse career paths across various industries. Graduates may pursue roles such as Data Scientist, Machine Learning Engineer, Data Analyst, Data Engineer, Business Intelligence Analyst, and Quantitative Analyst.
