Master of Business Administration - General Management
The Master of Business Administration (MBA) - General Management at Ab...
Bachelor of Science in Computer Engineering - Artificial Intelligence
Abu Dhabi, Al Ain Campus
INTAKE: Feb, May, Jun & Sept
Program Overview
The Bachelor of Science in Computer Engineering with a focus on Artificial Intelligence (AI) at Abu Dhabi University (ADU) is designed to prepare students for careers in one of the fastest-growing fields in technology. This specialized program combines the principles of computer engineering with advanced AI concepts to equip students with the skills necessary to design, implement, and optimize intelligent systems. Graduates of this program will have a deep understanding of both hardware and software aspects of computer engineering, with a focus on AI technologies such as machine learning, natural language processing, robotics, and neural networks. The program’s interdisciplinary approach ensures that students are well-prepared to meet the demands of industries such as healthcare, robotics, autonomous systems, and data analytics, where AI applications are revolutionizing operations and business models.
Curriculum: The curriculum of the Bachelor of Science in Computer Engineering - Artificial Intelligence at ADU provides a balanced mix of theoretical knowledge and practical skills. Core subjects include programming languages, computer systems architecture, digital circuits, and data structures, alongside specialized courses in AI such as machine learning, deep learning, AI algorithms, and intelligent robotics. Students will also gain expertise in areas such as computer vision, speech recognition, and reinforcement learning. The curriculum is designed to allow students to explore the practical implementation of AI in real-world applications, with a focus on both the development of software systems and the integration of AI into hardware systems. Students will also have opportunities to develop their problem-solving skills and engage in hands-on projects that simulate industry-level challenges.
Research Focus: The research focus in the Bachelor of Science in Computer Engineering - Artificial Intelligence program at ADU emphasizes cutting-edge developments in AI and its real-world applications. Students are encouraged to engage in research related to AI-driven innovations in areas such as autonomous systems, robotics, natural language processing, and computer vision. Faculty members guide students in exploring AI’s potential in solving complex problems in industries such as healthcare, transportation, and entertainment. Additionally, research is conducted on the ethical considerations of AI technologies, including transparency, fairness, and accountability. By participating in research projects, students gain valuable exposure to emerging trends and technologies, fostering a deeper understanding of AI’s impact on society and business.
Industry Engagement: Abu Dhabi University’s Computer Engineering program with a focus on AI has strong ties to industry leaders, ensuring that students receive ample opportunities for industry engagement. Through internships, collaborative projects, and industry-sponsored research, students can gain real-world experience and work with professionals who are at the forefront of AI innovation. ADU’s industry partnerships provide students with direct access to cutting-edge AI tools and technologies, as well as the chance to collaborate on solving practical challenges faced by organizations. The university’s engagement with global tech companies and local startups ensures that students are exposed to a wide range of applications for AI, from developing software solutions to integrating AI into hardware systems.
Global Perspective: The Bachelor of Science in Computer Engineering - Artificial Intelligence program at ADU incorporates a global perspective by exposing students to the international AI landscape. The program emphasizes the importance of understanding global trends in AI research, development, and policy. Students are encouraged to explore how AI is applied in different regions and industries around the world, preparing them to work in multinational corporations or lead AI projects with global implications. ADU also fosters a diverse learning environment, bringing together students from various cultural and academic backgrounds to collaborate on international AI projects. This global outlook ensures that graduates are well-equipped to contribute to the advancement of AI technologies on the world stage.
Location
Abu Dhabi, Al Ain Campus
Score
IELTS 6
Tuition Fee
AED 62895
Undergraduate Entry Requirements
Application Fee: AED 315
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 50% 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.
Abu Dhabi University (ADU) offers various scholarship opportunities for international students to support their academic journey and alleviate financial burdens. These scholarships are designed to attract high-achieving students from around the world, helping them pursue their educational goals in a world-class institution.
Merit-Based Scholarships: ADU provides merit-based scholarships to international students who demonstrate exceptional academic performance. These scholarships are awarded based on the student's academic achievements, and the eligibility criteria vary depending on the program of study. International students with a strong academic record may qualify for financial support to reduce tuition fees.
Undergraduate Scholarships: For international students applying for undergraduate programs, ADU offers a range of scholarships designed to recognize excellence in various fields of study. These scholarships help make education more accessible to talented students by offering partial tuition fee reductions. Students are encouraged to apply early to be considered for these prestigious awards.
Special Talent Scholarships: International students with exceptional talent in areas such as sports, arts, or leadership may be eligible for special talent scholarships. ADU recognizes that diverse talents contribute to a vibrant campus life, and these scholarships are designed to support students who bring unique skills and experiences to the university community.
Government and External Scholarships: ADU also collaborates with various governments and external organizations that offer scholarships for international students. These scholarships are typically based on agreements or partnerships between ADU and foreign governments, helping to provide financial support to students from specific countries.
Graduates of the Bachelor of Science in Computer Engineering with a focus on Artificial Intelligence (AI) from Abu Dhabi University (ADU) are prepared to pursue a wide array of rewarding careers in the rapidly evolving field of AI and technology. The combination of computer engineering principles with advanced AI technologies allows students to engage in various sectors, from traditional engineering to cutting-edge AI applications.
AI Research Scientist: AI research scientists focus on advancing the development of artificial intelligence technologies, including creating new algorithms, improving machine learning models, and innovating AI-driven applications. They may work in academic institutions, tech companies, or research labs to push the boundaries of AI capabilities.
Machine Learning Engineer: Machine learning engineers specialize in developing systems that allow machines to learn and adapt without explicit programming. They build, test, and deploy machine learning models and work closely with data scientists to analyze and interpret large datasets, driving advancements in AI systems.
Data Scientist: Data scientists analyze large datasets to uncover patterns and insights that inform business decisions. They use statistical analysis, machine learning, and data visualization to help organizations understand their data, often focusing on AI technologies to improve decision-making processes and predict future trends.
Robotics Engineer: Robotics engineers design and build intelligent robots capable of performing tasks autonomously. They combine knowledge from both computer engineering and AI to develop systems that can perceive, think, and interact with their environment, with applications in manufacturing, healthcare, and automation.
AI Software Developer: AI software developers create applications that integrate artificial intelligence capabilities. They develop software solutions that employ machine learning, computer vision, and natural language processing to solve specific industry challenges, such as automation, healthcare diagnostics, or finance.
Computer Vision Engineer: Computer vision engineers focus on enabling machines to interpret and understand visual data. They work on developing algorithms that allow computers to identify objects, people, and patterns in images and video, applying this expertise to sectors like autonomous vehicles, healthcare imaging, and security.
Natural Language Processing (NLP) Engineer: NLP engineers work on developing systems that allow computers to understand and interact with human language. This includes tasks such as speech recognition, language translation, and text analytics. NLP engineers are critical in industries like customer service (chatbots), healthcare (medical transcription), and digital assistants (e.g., Siri, Alexa).
AI Consultant: AI consultants help businesses implement AI solutions to improve efficiency and performance. They assess an organization's needs, recommend AI-driven technologies, and guide the integration of AI systems into existing business operations, ensuring optimal use of AI technologies for innovation and problem-solving.
AI Product Manager: AI product managers oversee the development of AI-based products, ensuring that product teams design and deliver AI solutions that meet market needs. They work with engineers, designers, and marketers to create AI-powered products and services, driving growth in sectors such as healthcare, finance, and consumer electronics.
Automation Engineer: Automation engineers design systems and processes that use AI to automate repetitive tasks and processes. By improving operational efficiency and reducing the need for human intervention, they enable industries such as manufacturing, logistics, and customer service to operate more effectively.
Cybersecurity Engineer: AI plays a crucial role in cybersecurity by enabling systems to detect threats and respond to them in real time. Cybersecurity engineers with AI expertise use machine learning algorithms to develop tools that can identify potential security breaches, helping businesses protect sensitive data and systems.
Embedded Systems Engineer: Embedded systems engineers work on AI-powered hardware devices, integrating AI algorithms into physical systems such as sensors, robots, and autonomous vehicles. Their work focuses on the development of systems that can make intelligent decisions based on real-time data inputs from the surrounding environment.
AI Ethics Specialist: AI ethics specialists focus on the ethical challenges that arise with the implementation of AI technologies. They work with companies and organizations to ensure AI systems are designed and used in a manner that is ethical, transparent, and free from bias, protecting privacy and promoting fairness.
AI Entrepreneur/Start-Up Founder: With a deep understanding of AI technologies and their applications, graduates may choose to start their own companies. AI entrepreneurs develop innovative solutions that leverage AI to solve problems in diverse industries, from healthcare to retail, creating new products and services that shape the future.
AI Systems Architect: AI systems architects design and manage complex AI-based systems, integrating software, hardware, and data infrastructure. They ensure that AI systems are scalable, efficient, and capable of handling large amounts of data while providing practical solutions to real-world problems.
Artificial Intelligence Trainer: AI trainers are responsible for training AI models to recognize patterns, learn from data, and make decisions. They work with machine learning algorithms to improve accuracy, efficiency, and performance, playing a vital role in making AI systems smarter and more reliable over time.
