MA International Human Resource Management
Emirates Aviation University (EAU) in Dubai offers a Master of Arts (MA) in Internation...
BSc (Hons) in Data Science
Dubai
INTAKE: September
Program Overview
The BSc (Hons) in Data Science at Emirates Aviation University (EAU) is a comprehensive program designed to provide students with the technical skills, critical thinking, and problem-solving abilities needed to excel in the field of data science. The program integrates core principles of computer science, statistics, and mathematics with specialized topics in data analytics, machine learning, and data visualization. With a focus on real-world applications, the curriculum is designed to prepare students to handle large datasets, extract meaningful insights, and make data-driven decisions that influence business, technology, and research. Upon completion, graduates are well-equipped to tackle data challenges across various industries such as healthcare, finance, aviation, and technology.
Curriculum: The BSc (Hons) in Data Science at EAU offers a balanced curriculum that blends theoretical foundations with practical applications in the data science field. The program covers key areas such as programming, data structures, algorithms, statistics, and data management. Students will learn to work with large datasets, applying techniques in data wrangling, cleaning, and preprocessing. Advanced courses include machine learning, data mining, big data analytics, and artificial intelligence, equipping students with the skills to develop algorithms and predictive models. The curriculum also incorporates courses on data visualization, enabling students to communicate complex data insights effectively. To ensure that students are industry-ready, the program includes hands-on projects, internships, and collaborative work that simulate real-world scenarios.
Research Focus: The BSc (Hons) in Data Science program at Emirates Aviation University is research-driven, providing students with opportunities to engage in cutting-edge research in data analytics, machine learning, and artificial intelligence. Students can explore various areas, including predictive analytics, data visualization techniques, and deep learning, to enhance their understanding of the rapidly evolving field. The program encourages independent research and innovation, with opportunities to work on individual research projects that address contemporary challenges in data science. Research within the program often focuses on the application of data science in industries such as healthcare, finance, smart cities, and transportation, with a strong emphasis on practical solutions to real-world problems. Faculty members guide students through the research process, helping them develop critical thinking and analytical skills essential for contributing to the advancement of data science.
Industry Engagement: The BSc (Hons) in Data Science program at EAU places a significant emphasis on industry engagement, offering students the chance to work with leading companies and organizations. This collaboration ensures that students are exposed to real-world data science challenges and industry best practices. Through internships, industry partnerships, and guest lectures by experts in the field, students gain valuable insights into the latest trends in data science and its applications. These industry connections also help students build professional networks and gain practical experience that enhances their employability. Furthermore, the university’s strong ties with the aviation and technology sectors provide unique opportunities for students to apply data science in areas such as aviation analytics, machine learning, and smart technologies.
Global Perspective: The BSc (Hons) in Data Science program at Emirates Aviation University is designed with a global perspective, ensuring that students are prepared for the international demands of the data science field. The program’s curriculum is aligned with global industry standards, covering emerging trends and technologies in data science and analytics. Students are exposed to diverse perspectives through the university’s multicultural environment, fostering cross-cultural collaboration and understanding. Additionally, the program emphasizes global challenges in data science, such as data privacy, ethical considerations, and the role of big data in sustainable development. The knowledge and skills gained prepare students to work in multinational organizations and address data-related challenges on a global scale, ensuring that graduates are equipped to make a significant impact in the international data science community.
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 BSc (Hons) in Data Science program at Emirates Aviation University (EAU) have a wide range of career opportunities available to them, as data science is a rapidly growing field with increasing demand for skilled professionals. With expertise in handling large datasets, machine learning, and data analysis, students are well-prepared to enter industries such as technology, healthcare, finance, aviation, and government.
Data Scientist: Use statistical techniques and machine learning algorithms to analyze large datasets, identify trends, and create data models that help businesses make informed decisions. Data scientists often work with predictive models and develop solutions for diverse industries.
Data Analyst: Analyze and interpret data to help businesses make data-driven decisions. Data analysts clean, organize, and transform data into actionable insights, often using tools such as SQL, Python, or R.
Machine Learning Engineer: Develop and implement machine learning algorithms and models that can automatically learn from data and make predictions or decisions. Machine learning engineers work in various fields, including finance, robotics, and e-commerce.
Big Data Engineer: Specialize in the design, development, and management of systems that store and process large volumes of data. Big data engineers work with technologies like Hadoop, Spark, and NoSQL databases to manage and analyze massive datasets.
Business Intelligence Analyst: Use data analytics tools and techniques to analyze business data, generate reports, and create dashboards that help organizations track performance and make informed strategic decisions.
AI Developer: Develop artificial intelligence applications and systems, applying machine learning and deep learning techniques to build intelligent systems capable of performing tasks such as speech recognition, image analysis, and decision-making.
Data Engineer: Focus on building infrastructure and systems that support data collection, storage, and processing. Data engineers work on creating pipelines that allow organizations to efficiently collect, manage, and analyze data.
Quantitative Analyst: Use advanced mathematical and statistical techniques to analyze data and create predictive models, often in the fields of finance and investment. Quantitative analysts are also known as "quants."
Data Consultant: Provide expert advice to businesses on how to utilize data science and analytics to improve operations and make better decisions. Data consultants often work with various industries to develop customized data solutions.
Statistical Analyst: Focus on applying statistical methods to analyze and interpret data in order to understand trends, make predictions, and solve problems. Statistical analysts work in fields such as healthcare, economics, and sports analytics.
Healthcare Data Analyst: Use data science to improve patient care and streamline healthcare operations. Healthcare data analysts work with large datasets from hospitals, clinics, and research organizations to uncover insights that improve treatment outcomes and operational efficiency.
Data Privacy Officer: Manage and ensure compliance with data privacy regulations, ensuring that organizations handle personal data responsibly. Data privacy officers are critical in industries such as finance, healthcare, and e-commerce, where sensitive data is often collected.
