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Bachelor of Science in Artificial Intelligence
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The BSc in Artificial Intelligence is designed to transform students into pioneers of tomorrow’s AI-driven world. This program combines rigorous mathematical foundations with advanced AI theory and hands-on technical training, preparing students to develop intelligent systems that revolutionize industries. Students will gain proficiency in areas such as robotics, autonomous systems, and natural language processing (NLP), equipping them with the skills to develop innovative solutions to complex challenges.
From deep learning and reinforcement learning to computer vision and decision support systems, this degree will empower students with cutting-edge tools to build AI systems capable of automating tasks, enhancing decision-making, and enabling machines to perceive and interact with the world. Graduates will be well-equipped to tackle high-impact challenges across diverse sectors including healthcare, finance, transportation, and aviation, shaping the future of technology across industries.
Why enrol on this programme?
Artificial Intelligence is transforming the way the world including industries operates, and this programme is designed to meet the growing demand for skilled AI professionals. Graduates will:
- Master state-of-the-art AI techniques, from machine learning to deep learning and robotics.
- Develop strong analytical and problem-solving skills to address complex challenges in diverse sectors.
- Gain hands-on experience through real-world projects and internships, bridging theory and practice.
This programme is ideal for students seeking to launch careers as AI engineers, data scientists, researchers, or innovators in technology-driven fields.
Accreditation
The Bachelor of Science in Artificial Intelligence programme is accredited by the Ministry of Higher Education & Scientific Research, UAE. Students who complete the programme have the option of obtaining a Coventry University certificate in addition to Emirates Aviation University award.
Duration
- Full-time programme is four years
Mode of delivery
Full-time, credit-hour system, and semester-based.
Programme Outline
A typical four-year study plan for the BSc in AI.
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| Year 1 | 1st Semester |
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| Year 2 | 3rd Semester |
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| Year 3 | 5th Semester |
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| Year 4 | 7th Semester |
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Knowledge and Understanding
On successful completion of the programme the student should be able to demonstrate knowledge and understanding of:
KU1: Apply fundamental mathematical and statistical principles (e.g., linear algebra, probability, optimisation) to model and solve AI problems.
KU2: Understand and apply core AI techniques, including machine learning, deep learning, reinforcement learning, NLP, and robotics.
KU3: Design and implement scalable AI applications using modern programming languages (Python, R) and frameworks (TensorFlow, PyTorch).
KU4: Analyse and deploy neural network architectures to solve real-world problems in computer vision, NLP, and robotics.
KU5: Evaluate ethical, legal, and societal implications of AI solutions, ensuring responsible and sustainable development.
Cognitive Skills
On successful completion of the programme the student should be able to:
CS1: Apply critical thinking to formulate AI-based solutions to real-world problems.
CS2: Conduct foundational research in AI by designing experiments and analysing results.
CS3: Evaluate AI systems for performance, scalability, and robustness, ensuring best practices are met.
Practical Skills
On successful completion of the programme the student should be able to:
PS1: Deliver end-to-end AI solutions, from data acquisition and preprocessing to deployment and performance evaluation.
PS2: Demonstrate entrepreneurial thinking by identifying AI-driven business opportunities and developing solutions.
PS3: Apply effective project and time management skills, ensuring timely delivery of AI projects.
PS4: Collaborate effectively in multidisciplinary teams, demonstrating leadership and professional communication.
| School Curriculum System | Minimum Admission Requirements |
|---|---|
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UAE Curriculum (Thanaweyya 'Ammah) |
UAE Curriculum Track:
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British System - AS/A Levels |
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British System - BTEC Level 3 Diploma |
BTEC Level 3 Diploma in a relevant field* |
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International Baccalaureate |
IB certificate or Diploma or career programme (including Math or physics)* |
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American High School Diploma |
70% score in Math or Physics* |
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Indian Boards (Std XII) |
Minimum of 55% in the Senior Secondary School Certificate (12th Standard) including Math or Physics* |
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Pakistani Board HSSC Part I+II (Gr 12) |
Minimum of 55% in the Senior Secondary School Certificate (12th Standard) including Math or Physics* |
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Iranian Curriculum |
Score of 15 points in the pre-university certificate, or minimum overall of 75% including Math or Physics* |
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Russian Curriculum |
Score of 4.0 in the final year (grade 11), including Math or Physics* |
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French Baccalaureate |
Score of 11 in the Scientific track, including Math or Physics* |
*Notes and remarks:
- Applicants who do not meet the minimum requirements for the program's relevant requirement(s) 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 English requirements. Otherwise, students will be required to provide / complete one of the following:
- IELTS Academic with a minimum score of 5.0
- TOFEL iBT with a minimum score of 61
- EAU English Test
- Complete non-credited Foundation English Course with EAU
- For detailed guidance on entry requirements, please contact EAU Admissions at +971 46050100/176/117 or email: eau.admissions@emirates.com
| Application Fee* | Registration Fee* | Tuition Fees (AED) |
|---|---|---|
| N/A | 2,625 | 80,703 per year |
*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
