Artificial Intelligence - Data Science (MSc) - ENU

95%+ of Edinburgh Napier University graduates are in work or further study 15 months after graduation.

Work placement: A 60-credit, work-based learning module will provide you with supervised opportunities to learn and demonstrate your taught knowledge and skills, a well as your problem solving and reflective scientist-practitioner skills to the highest level of this award.

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. Examples include:

• Data Analysis Projects: Students may be assigned large datasets to clean, analyse, and interpret, drawing insights that address specific business or research questions. These projects test data preprocessing and exploratory data analysis skills.
• Machine Learning Modelling: Students work on developing, training, and evaluating machine learning models, such as regression or classification models, using real-world data. They may compare model performance, tune parameters, and interpret model outputs to optimise results.
• Data Visualisation and Reporting: Assignments often involve creating visualisations that effectively communicate data findings to stakeholders, assessing students’ ability to translate complex data into clear, actionable insights.
• Case Studies: Based on industry scenarios, case studies challenge students to propose data-driven solutions, integrate analytics within business contexts, and maybe consider ethical implications.
• Dissertation Project: The final assignment is an in-depth research project where students select a data science problem of their choice, conduct independent research, apply advanced methodologies, and document their work in a comprehensive report, showcasing their full range of skills.

These assignments help students build a portfolio of work that demonstrates their expertise to potential employers.

• Data Scientist
• Machine Learning Engineer
• Data Analyst
• Data Engineer
• Business Intelligence Analyst
• Quantitative Analyst
• AI Researcher
• Big Data Engineer
• Data Consultant