Master of Business Administration - General Management
The Master of Business Administration (MBA) - General Management at Ab...
BSc in Software Engineering - Big Data Analytics
Abu Dhabi, Al Ain Campus
INTAKE: Feb, May, Jun & Sept
Program Overview
The BSc in Software Engineering - Big Data Analytics program at Abu Dhabi University (ADU) is designed to provide students with a deep understanding of software engineering principles and big data analytics. The program emphasizes the practical applications of big data technologies in various industries, teaching students to design, implement, and analyze complex data systems. Students are equipped with the skills required to manage large datasets, extract valuable insights, and apply those insights to real-world problems. The focus on big data ensures that graduates are prepared to take on key roles in the rapidly growing field of data analytics, which is crucial to sectors like healthcare, finance, business, and technology.
Curriculum: The curriculum of the BSc in Software Engineering - Big Data Analytics program blends core software engineering concepts with specialized courses in big data technologies. Key courses include data structures and algorithms, software engineering fundamentals, database systems, machine learning, and data mining techniques. Students will also delve into big data technologies such as Hadoop, Spark, and NoSQL databases, which are crucial for processing large datasets. Additional courses cover data visualization, cloud computing, and advanced analytics techniques, providing students with the tools to not only manage but also interpret vast amounts of data. The program also includes a capstone project that allows students to apply their knowledge in a real-world setting, solving data-centric problems for businesses and organizations.
Research Focus: The BSc in Software Engineering - Big Data Analytics program at ADU places a strong emphasis on research, encouraging students to explore emerging trends in big data and analytics. Students can engage in research areas such as predictive analytics, real-time data processing, data privacy and security, and the application of machine learning and artificial intelligence in big data. ADU’s faculty, who are experts in the field of data science and software engineering, guide students in their research endeavors, helping them address challenges such as data integration, scalability, and optimizing algorithms for large datasets. The program also encourages students to work on innovative solutions that can impact various industries, making the research focus aligned with industry needs.
Industry Engagement: The BSc in Software Engineering - Big Data Analytics program at ADU is designed to connect students with industry leaders, fostering partnerships with local and international tech companies. Students have opportunities to participate in internships, collaborate on industry projects, and attend workshops and seminars hosted by professionals in the field of data analytics and software engineering. These partnerships provide students with real-world experiences, allowing them to apply their knowledge and skills to solve actual industry problems. Through this industry engagement, students gain valuable insights into the latest big data technologies and trends, preparing them for a successful career in the growing field of data analytics.
Global Perspective: ADU’s BSc in Software Engineering - Big Data Analytics program offers students a global perspective by integrating international best practices and standards into the curriculum. Students are exposed to a diverse range of technologies and methods used globally in the field of data science, which helps them understand the global implications and applications of big data analytics. The university's international faculty and partnerships with global tech companies also ensure that students are aware of the global trends and challenges in big data and analytics. ADU encourages students to participate in global conferences, workshops, and research initiatives, which further enhances their global perspective and prepares them to work in an interconnected, international environment.
Location
Abu Dhabi, Al Ain Campus
Score
IELTS 6
Tuition Fee
AED 60200
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 BSc in Software Engineering - Big Data Analytics program at Abu Dhabi University (ADU) have access to a wide array of exciting career opportunities in the rapidly growing field of big data and analytics. The program equips students with both software engineering and big data expertise, enabling them to thrive in a variety of roles across multiple industries.
Data Scientist: Utilize advanced analytics techniques, machine learning, and statistical models to extract insights from large datasets, helping organizations make data-driven decisions.
Big Data Engineer: Design, build, and maintain scalable data pipelines and systems for processing vast amounts of structured and unstructured data using tools like Hadoop, Spark, and NoSQL databases.
Business Intelligence Analyst: Analyze data to identify trends and insights that can guide business strategies, creating actionable reports and dashboards to inform decision-making.
Machine Learning Engineer: Develop and implement machine learning algorithms that can predict outcomes, automate processes, and enhance data analysis capabilities in various applications.
Data Analyst: Interpret data to identify patterns, correlations, and trends, providing valuable insights that organizations can use to improve operational efficiency and strategy.
Software Developer: Design and develop software applications that handle large datasets, integrating big data technologies with software systems to provide scalable, efficient solutions.
Cloud Solutions Architect: Specialize in designing and managing cloud-based solutions that support big data storage, processing, and analysis, ensuring scalability and performance.
Data Architect: Develop the frameworks and architectures for organizing and managing data, ensuring the integrity, security, and accessibility of large datasets across systems.
Quantitative Analyst: Work in finance or insurance sectors, using statistical models and big data techniques to predict market trends and assess risks.
IT Consultant: Provide consulting services to organizations looking to implement big data solutions, advising on software engineering, system design, and best practices for handling large datasets.
