Master of Science Artificial Intelligence and Data Science

18 Months Part Time Masters Program

Emirates Aviation University

Program Overview

This Master of Science in Data Science and Artificial Intelligence is an 18-month, internationally recognised postgraduate programme that builds both advanced analytical capabilities and practical AI skills so you can lead data-driven innovation across sectors like tech, finance, aviation, healthcare and government. It blends machine learning, deep data science, predictive modelling and hands-on experience with real datasets and projects — perfect for ambitious graduates who want to advance into data scientist, AI developer, analytics consultant or technical strategy roles.

Curriculum Structure (Year-by-Year)

Year 1 (Foundations & Core Analytics):
In the first year, you take core modules that build your statistical, computing and data processing foundations. Expect to study subjects like Foundations of Data Science, Machine Learning & Predictive Modelling, Big Data & Data Engineering, Data Visualisation, AI Techniques & Deep Learning, and Research Methods — giving you the ability to manage complex datasets and apply analytical frameworks to real problems. These modules balance theory with practical lab work so you can code, experiment and evaluate models confidently.

Year 2 (Advanced Topics & Applied Research):
In the second year, the focus moves to advanced applications and independent research. You deepen your knowledge with electives in areas such as Advanced AI Methods, Natural Language Processing, Computer Vision or Industry-Oriented Analytics, and culminate your studies in a Master’s Dissertation or Applied Project. This capstone allows you to tackle a significant data science problem end-to-end — from hypothesis and modelling to evaluation and communication of results — and showcases your professional readiness.

Focus areas:
Machine learning & AI; big data systems; predictive analytics; deep learning; statistics; research methods.

Learning outcomes:
You’ll graduate able to interpret and manipulate complex data, design and evaluate AI systems, apply advanced modelling techniques to real problems, lead analytical projects, and communicate insights clearly to technical and non-technical audiences.

Professional alignment (accreditation):
This MSc is accredited by the UAE Ministry of Higher Education & Scientific Research, recognised in Dubai and accepted internationally for postgraduate expertise in AI and data science.

Reputation (employability):
Emirates Aviation University is a licensed and well-regarded higher education institution in the UAE, known for combining academic depth with industry relevance. Graduates from this programme are positioned for high-demand roles in data and AI fields across aviation, finance, technology and government, aligning with the UAE’s strategic emphasis on innovation and digital transformation.

Experiential Learning (Research, Projects, Internships etc.)

Students develop applied expertise by working directly with data analysis tools and programming languages, completing a substantial research project, and utilizing high-performance computing resources. The program's practical focus is implemented through several key components:

Core Technical Toolkit: The curriculum provides proficiency in essential data science programming languages and environments, specifically Python and R, which are used for statistical analysis, machine learning, and data visualization.
Capstone Research Project: A central experiential element is a major research thesis. Students must complete an independent, empirical research project that applies data science methodologies to a complex, real-world problem, culminating in a written dissertation.
High-Performance Computing (HPC) Facilities: The program provides access to the university's high-performance computing resources and specialized data science laboratories. These facilities are equipped with the necessary hardware and software to manage and analyze large-scale datasets.
Industry-Relevant Software & Cloud Platforms: In addition to Python and R, students work with contemporary data management and analysis tools. The curriculum includes training on SQL for database management and may involve cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) for big data processing and machine learning model deployment.

Progression & Future Opportunities

Graduates of the MSc in Artificial Intelligence and Data Science at Emirates Aviation University (EAU) enjoy strong career prospects, with over 26,500 alumni achieving a 94% employability rate within months of graduation. Typical job roles include Data Scientist, AI Engineer, Machine Learning Specialist, and Aviation Data Analyst, leveraging skills in predictive modeling and industry-specific applications.

Career Support & Opportunities:

University Services: EAU's Career Services Department (CSD) offers one-on-one guidance, job market insights, résumé workshops, interview training, networking events, and the annual EAU Career Fair to connect students with employers.
Employment Stats & Salary: 94% employability rate; UAE AI/data science roles average AED 20,000–35,000 monthly starting salary for master's holders, rising with experience.
Partnerships: Strong ties with Emirates Group and aviation/tech firms provide internships, projects, and direct hiring pipelines.
Accreditation Value: EAU's KHDA and CAA-accredited programs ensure global recognition, boosting long-term mobility in UAE/GCC tech sectors.
Outcomes: High placement in aviation, finance, and government; alumni advance to senior AI roles within 3–5 years.

Further Academic Progression: After completing the MSc, students can pursue a PhD in AI/Data Science at EAU or partner UAE universities like Khalifa University, focusing on advanced research in aviation analytics or ethical AI; alternatively, specialized certifications (e.g., Google Cloud AI) or DBA/PhD abroad in the UK/Ireland align with interdisciplinary interests in engineering and psychology.