Master of Science in Data Science and Artificial Intelligence

Duration

Eighteen months.

Mode of delivery

Courses are delivered in block mode over five to seven days, depending on their credit value (the core courses typically spanning seven days). Delivery includes a weekend (Thursday to Monday) to minimise disruption for participants in full-time employment. Sessions run daily from 9:00 AM to 5:00 PM (Dubai time).

Course Outline

Knowledge and Understanding

On successful completion of the programme the student should be able to demonstrate knowledge and understanding of:

KU1: Demonstrate systematic knowledge and critical understanding of core and advanced topics in data science and AI and their theoretical foundations.

KU2: Apply an analytical approach and statistical thinking to assess data analysis models and methods, recognising their assumptions and limitations in real-world contexts.

KU3: Evaluate a wide range of machine learning and AI methodologies, algorithms, and tools, considering their suitability for addressing complex challenges in tacking real-world challenges.

KU4: Identify and navigate complex ethical, legal, social, and cultural issues inherent in data science and AI applications, drawing on diverse perspectives and industry-specific scenarios.

Cognitive Skills

On successful completion of the programme the student should be able to:

CS1: Employ critical thinking and analytical skills to assess data-driven/AI business scenarios, identifying challenges and devising effective strategies using data science and AI techniques.

CS2: Recognise the strategic significance of data science and AI in driving innovation, competitiveness, and sustainable growth across diverse industries, including transportation, aviation, and aerospace.

Practical Skills

On successful completion of the programme the student should be able to:

PS1: Design and evaluate computer systems for the storage, organisation, management, and processing of different types of information and sizes of datasets, including distributed systems.  

PS2: Demonstrate practical skills and capabilities related to employment, including working effectively and constructively as part of a team, leading a team, motivating and communicating complex ideas accurately to experts and non-experts, and technical expertise with modern data science tools and technologies.

PS3: Effectively design and execute a Data Science and AI related project, including data acquisition, preprocessing, model selection, and performance evaluation, to achieve successful AI implementation within an organisation.

Transferable Skills

On successful completion of the programme the student should be able to:

TS1: Locate, assess, and manipulate information effectively to support decision-making and problem-solving in data-driven contexts.

TS2: Communicate technical concepts and analytical findings clearly and persuasively to diverse audiences, encouraging understanding and collaboration.

TS3: Analyse and resolve complex problems using a combination of creativity, critical thinking, and technical expertise, adapting strategies as needed to achieve desired outcomes.

TS4: Take initiative and demonstrate accountability in decision-making, assuming leadership roles as appropriate and guiding others towards shared goals.

TS5: Make informed decisions in dynamic and uncertain environments, drawing on evidence-based reasoning and risk assessment to achieve desired outcomes.

TS6: Engage in continuous learning and professional development, demonstrating adaptability and resilience in response to evolving industry trends and technological advancements.

TS7: Collaborate effectively within diverse team settings, leveraging individual strengths and perspectives to achieve collective success, and assuming leadership responsibilities when necessary.

Minimum Admission Requirements

• A recognised bachelor’s degree in any field (including non-computing backgrounds) with a minimum CGPA of 3.0 on a 4.0 scale or its established equivalent. The programme is designed to accommodate students and professionals from diverse backgrounds, or
• A recognised bachelor’s degree with a CGPA between 2.5 and 3.0 (conditional admission)

Notes and Remarks:

• Applicants who do not meet the minimum requirements may be required to complete the EAU entrance exam or a non-credit remedial course.
• Students who completed their previous qualification in English are exempt from the English language requirement. Otherwise, applicants must provide or complete one of the following:

• IELTS Academic: Minimum score of 6.0
• TOEFL iBT: Minimum score of 79
• EAU English Test.
• Completion of a non-credited Foundation English Course with EAU

• For detailed guidance on entry requirements, please contact EAU Admissions at:  Phone: +971 46050100 (ext: 176/117) , Email: eau.admissions@emirates.com

*Non-refundable

*Tuition Fees inclusive of VAT 5%

How to Apply?

For  information  on  how  to  apply  for  a  course  at  Emirates  Aviation University, see our Admissions Guide