MA International Human Resource Management
Emirates Aviation University (EAU) in Dubai offers a Master of Arts (MA) in Internation...
Bachelor of Science in Computer Science - Artificial Intelligence
Dubai
INTAKE: September
Program Overview
The Bachelor of Science in Computer Science with a focus on Artificial Intelligence (AI) at Emirates Aviation University, Dubai is an innovative program designed to equip students with the technical and theoretical knowledge required to excel in the rapidly evolving fields of computer science and AI. This program is ideal for students seeking to delve into AI technologies, machine learning, data analytics, and related fields. The curriculum is designed to provide a strong foundation in computer science principles, while emphasizing the specialized areas of AI, including neural networks, natural language processing, robotics, and data-driven decision-making. Graduates will be well-prepared to pursue careers in AI, software development, and data science across various industries, particularly in sectors such as aviation, healthcare, finance, and technology.
Curriculum: The B.Sc. in Computer Science - Artificial Intelligence program at Emirates Aviation University offers a comprehensive curriculum that combines core computer science courses with specialized AI-focused subjects. The first part of the program covers foundational computer science topics such as programming, algorithms, data structures, and database management. As students progress, they dive deeper into AI-specific areas, including machine learning, deep learning, natural language processing, computer vision, robotics, and AI ethics. Additionally, students are exposed to data science techniques, big data analytics, and cloud computing. The curriculum also includes practical training and project-based learning, which allows students to apply their knowledge to real-world scenarios, ensuring they are well-prepared for professional roles in AI and computer science.
Research Focus: Emirates Aviation University encourages students in the Bachelor of Science in Computer Science - Artificial Intelligence program to engage in cutting-edge research that addresses the latest challenges and innovations in AI and related fields. The research focus is on developing intelligent systems, improving machine learning algorithms, exploring advancements in robotics, and utilizing AI to solve complex problems in various industries. Students are encouraged to work on AI-driven projects that tackle real-world issues, such as automation in aviation, healthcare decision support systems, predictive analytics, and data mining. Through research, students not only contribute to the growing body of knowledge in AI but also enhance their problem-solving skills, preparing them to become thought leaders in the field.
Industry Engagement: Emirates Aviation University places a strong emphasis on industry engagement, providing students with numerous opportunities to collaborate with leading tech companies, research institutions, and professionals in the field of AI. The university has strong ties with the aviation industry, enabling students to apply AI technologies to real-world challenges in aviation, such as predictive maintenance, flight optimization, and air traffic control systems. Industry professionals are regularly invited to deliver guest lectures, participate in workshops, and mentor students on projects. In addition, the university offers internships and collaborative research opportunities with top AI and tech companies, ensuring that students gain practical experience and build a professional network that will be invaluable in their careers.
Global Perspective: The B.Sc. in Computer Science - Artificial Intelligence program at Emirates Aviation University provides students with a global perspective on the role of AI in shaping the future of various industries. The curriculum incorporates international case studies, AI applications across different sectors, and global best practices in AI research and development. Students are encouraged to analyze how AI technologies are being deployed around the world, from autonomous vehicles in North America to AI-driven healthcare systems in Europe. The program also emphasizes the importance of cross-cultural collaboration, preparing students to work in diverse, multinational teams. Additionally, Emirates Aviation University’s strategic location in Dubai, a global hub for innovation and technology, provides students with access to international conferences, events, and collaborations, further broadening their global outlook.
Location
Dubai
Score
IELTS 6
Tuition Fee
AED 80703
Undergraduate Entry Requirements
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 55% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.0 or 6.5 with a minimum of 5.5 in each component.
- TOEFL: Overall score of 61 or higher.
Emirates Aviation University (EAU) in Dubai offers a range of scholarships to support international students in pursuing their higher education in aviation, aerospace, and related disciplines. These scholarships are designed to reward academic excellence, encourage diversity, and make education more accessible to talented students from around the world.
Academic Excellence Scholarships: Emirates Aviation University offers Academic Excellence Scholarships to high-achieving international students based on their academic performance. These scholarships are available for both undergraduate and postgraduate programs and are aimed at students who demonstrate exceptional academic achievements in their previous studies. The scholarships can cover a percentage of tuition fees, helping students to ease their financial burden.
Merit-Based Scholarships: EAU provides merit-based scholarships for students who excel in their chosen field of study. These scholarships are awarded to students who display outstanding potential in aviation, aerospace engineering, and other related disciplines. The merit-based scholarships are designed to motivate students to maintain high academic standards throughout their studies.
Need-Based Scholarships: Emirates Aviation University also offers need-based scholarships for international students who demonstrate financial need. These scholarships are intended to assist students from economically disadvantaged backgrounds to access quality education at EAU. The university’s financial aid department assesses the students’ financial circumstances and offers support based on their eligibility.
Special Interest Scholarships: In addition to merit and need-based scholarships, EAU offers special interest scholarships for international students who have a particular passion or aptitude for areas related to aviation. This could include scholarships for students interested in areas like aviation management, flight training, aerospace engineering, and more. These scholarships are often available to students with a strong interest in contributing to the growth of the aviation industry.
Corporate and Industry Partner Scholarships: As part of its the aviation industry, Emirates Aviation University has partnered with various corporate and industry leaders to offer scholarships for international students. These scholarships often come with the added benefit of potential internship opportunities within the Emirates Group or other leading aviation organizations. Such collaborations allow students to gain practical industry experience while studying, enhancing their career prospects.
Graduates of the Bachelor of Science in Computer Science - Artificial Intelligence program at Emirates Aviation University, Dubai are well-equipped for a wide range of career opportunities in the booming fields of artificial intelligence, data science, and computer science. With AI becoming an integral part of industries worldwide, the demand for skilled professionals in AI is rising rapidly. The program provides students with the essential skills, knowledge, and hands-on experience needed to pursue various roles in this dynamic and fast-evolving field.
AI Engineer: AI engineers develop, test, and implement artificial intelligence models and systems. They work with machine learning algorithms, neural networks, and deep learning techniques to build intelligent systems that can perform tasks such as image recognition, natural language processing, and decision-making automation.
Data Scientist: Data scientists use AI and machine learning techniques to analyze large sets of data and extract valuable insights. They help organizations make data-driven decisions by creating predictive models, performing statistical analyses, and identifying trends in data.
Machine Learning Engineer: Machine learning engineers specialize in designing and developing machine learning systems. They create algorithms that allow machines to learn from data and improve over time, working across industries such as finance, healthcare, and automotive for various applications like fraud detection and autonomous vehicles.
AI Research Scientist: AI research scientists focus on advancing the theoretical and practical aspects of artificial intelligence. They engage in groundbreaking research to develop new algorithms, improve existing AI models, and explore innovative AI applications, contributing to the overall growth of AI technology.
Robotics Engineer: Robotics engineers work at the intersection of AI and robotics. They design and develop robots that can perform tasks autonomously, often utilizing machine learning, computer vision, and sensor technologies. These engineers play a crucial role in industries such as manufacturing, healthcare, and logistics.
Software Developer (AI Focused): Software developers in AI specialize in creating software applications that integrate AI functionalities. They design programs that use machine learning models, natural language processing, or computer vision to solve specific problems within industries like finance, marketing, and gaming.
Data Analyst: Data analysts use data analysis tools and techniques to interpret data, generate reports, and assist in decision-making processes. In AI roles, they focus on using AI tools to automate data analysis, optimize systems, and improve the accuracy of insights extracted from data.
Business Intelligence Analyst: These professionals use AI-powered tools to gather, analyze, and interpret business data. They support strategic decision-making by transforming complex data into actionable insights, helping businesses optimize their operations, marketing strategies, and overall performance.
AI Solutions Architect: AI solutions architects design and implement AI-driven solutions for businesses. They combine their deep knowledge of AI technologies with their understanding of business requirements to create systems that help businesses automate processes, optimize workflows, and enhance customer experience.
Natural Language Processing (NLP) Engineer: NLP engineers specialize in enabling machines to understand, interpret, and generate human language. They work on developing AI models that can process text or speech, contributing to technologies such as virtual assistants, chatbots, and language translation systems.
Computer Vision Engineer: Computer vision engineers focus on teaching machines to interpret and understand visual data. They work with AI algorithms and deep learning models to enable systems to recognize and analyze images, video, and other visual inputs, with applications in areas like autonomous vehicles, security, and healthcare.
Cybersecurity Specialist (AI Focused): With the growing importance of AI in cybersecurity, AI-focused cybersecurity specialists work on developing advanced AI systems to detect and prevent security breaches, analyze patterns, and respond to threats more effectively.
AI Consultant: AI consultants work with organizations to implement AI strategies that align with business objectives. They assess the organization's AI needs, suggest suitable AI technologies, and guide the development and deployment of AI-driven solutions to improve business operations and efficiency.
Game Developer (AI Focused): AI-focused game developers design and implement AI systems within video games. They create intelligent, non-playable characters (NPCs) and enhance gameplay through AI-driven mechanics such as adaptive difficulty, behavior modeling, and realistic interactions.
Automation Engineer: Automation engineers use AI and machine learning techniques to design systems that automate repetitive tasks, improving efficiency in industries such as manufacturing, logistics, and customer service.
Cloud Computing Specialist (AI Focused): Cloud computing specialists with an AI focus work on deploying AI models on cloud platforms. They are involved in optimizing AI applications for scalability, efficiency, and integration with cloud infrastructure, enabling businesses to leverage the power of AI in a cloud environment.
