Bachelor of Science in Data Analytics

Ajman

 

INTAKE: Jan & Sept

Program Overview

The Bachelor of Science in Data Analytics at Ajman University, Dubai, offers a cutting-edge program designed to equip students with the skills and knowledge needed to excel in the rapidly growing field of data analytics. This program blends theoretical foundations with practical applications, enabling students to analyze, interpret, and manage data effectively. The focus is on providing students with the expertise to make data-driven decisions across a wide range of industries, including finance, healthcare, marketing, and technology. With a strong emphasis on statistical analysis, data visualization, machine learning, and big data technologies, the program prepares graduates for the challenges and opportunities presented by the data-driven world.

Curriculum: The Bachelor of Science in Data Analytics program at Ajman University covers a comprehensive curriculum that combines core courses in mathematics, computer science, and business with specialized data analytics subjects. Key courses include data mining, predictive analytics, big data, database management, data visualization, and machine learning. Students also study programming languages such as Python and R, which are essential tools for analyzing and interpreting large datasets. The program includes hands-on projects, internships, and practical sessions to ensure students can apply their theoretical knowledge to real-world scenarios. Additionally, students are introduced to tools like Tableau and Power BI for data visualization, as well as statistical software for data analysis. The curriculum is continually updated to keep pace with the latest trends and technologies in data analytics.

Research Focus: The research focus at Ajman University in the field of Data Analytics is centered around harnessing the power of data to solve real-world problems. Students in the Bachelor of Science in Data Analytics program are encouraged to engage in research projects that address contemporary challenges in various industries. Key research areas include predictive modeling, data mining techniques, machine learning algorithms, and the use of big data in business decision-making. Faculty members are actively involved in research collaborations with industry partners, ensuring that students are exposed to the latest developments and innovations in data analytics. Students have opportunities to contribute to ongoing research projects, gaining valuable experience in data-driven problem-solving and innovation.

Industry Engagement: Ajman University has strong connections with the business and technology sectors, providing students in the Bachelor of Science in Data Analytics program with ample opportunities to engage with industry professionals and gain hands-on experience. Through internships, collaborative projects, and guest lectures from industry experts, students can apply their learning to real-world situations. The university partners with leading companies and organizations to offer students the chance to work on practical data analytics challenges and gain insights into industry practices. This industry engagement ensures that graduates are well-prepared for the workforce, with the skills and experience needed to thrive in data-centric roles across various sectors.

Global Perspective: The Bachelor of Science in Data Analytics program at Ajman University offers students a global perspective on data analytics by incorporating international standards, frameworks, and best practices. The curriculum focuses on global data trends, including the use of data analytics in global business, healthcare, finance, and technology. Students are exposed to case studies from various countries, allowing them to understand how data analytics is applied in different cultural and economic contexts. Additionally, the university encourages global collaborations and research initiatives, allowing students to work on international projects and gain insights into global data analytics practices. By providing a broad international perspective, Ajman University ensures that its graduates are equipped to succeed in the global data analytics landscape.

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Location

Ajman

Pollster Education

Score

IELTS 6

Pollster Education

Tuition Fee

AED 42804

Undergraduate Entry Requirements

Application Fee: AED 1365

Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 60% 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.

Ajman University (AU) Dubai is supporting international students in achieving their academic goals by offering a variety of scholarships and financial aid options. These scholarships are designed to recognize academic excellence, support deserving students with financial constraints, and promote cultural diversity on campus.

Merit-Based Scholarships: International students with outstanding academic records are eligible for merit-based scholarships. These scholarships reward high-achieving students and can cover a significant portion of tuition fees, depending on the student's academic performance.

Need-Based Scholarships: Ajman University provides financial aid to international students facing financial difficulties. Applicants must demonstrate their financial need and meet specific criteria to qualify for these scholarships.

Cultural Diversity Scholarships: To promote inclusivity and cultural exchange, AU offers scholarships to students from underrepresented regions. This initiative encourages international enrollment and enriches the campus community.

Sports Scholarships: Ajman University recognizes students with exceptional talent in sports. International students excelling in athletics can apply for scholarships that support their academic and athletic pursuits.

Special Discounts for Siblings: AU provides tuition fee discounts to siblings studying at the university simultaneously. This initiative aims to ease the financial burden for families with multiple students at AU.

Scholarships for High School Achievers: Students who have performed exceptionally well in their high school examinations may be eligible for scholarships upon admission to AU.

Graduates of the Bachelor of Science in Data Analytics program from Ajman University, Dubai, are well-prepared to pursue a variety of rewarding career opportunities in the fast-growing field of data analytics. The program equips students with essential skills in data analysis, machine learning, programming, and statistical modeling, opening the door to numerous career paths across various industries. 

Data Analyst: Graduates can work as data analysts, responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They use tools such as Excel, Python, and R to manipulate data and extract valuable insights.

Business Intelligence Analyst: Business Intelligence Analysts focus on analyzing business data, creating reports, and using data visualization tools like Tableau and Power BI to present trends and insights to management teams for strategic decision-making.

Data Scientist: With advanced skills in statistics, programming, and machine learning, graduates can work as data scientists, building complex models to predict outcomes and uncover patterns within large datasets. This role often involves coding, statistical analysis, and algorithm development.

Machine Learning Engineer: Graduates with a strong foundation in algorithms and programming can pursue careers as machine learning engineers, developing models that allow computers to learn from data and make predictions or decisions based on that data.

Big Data Analyst: Big Data Analysts specialize in analyzing vast amounts of structured and unstructured data. They work with technologies like Hadoop and Spark to manage and analyze large datasets, helping organizations extract meaningful information from big data.

Quantitative Analyst: Also known as “Quants,” quantitative analysts apply statistical models and mathematical techniques to analyze financial data, often in banking, investment firms, or hedge funds. They work to create predictive models and optimize investment strategies.

Data Engineer: Data Engineers are responsible for designing and maintaining the infrastructure that allows data to be collected, processed, and stored. They ensure that the data pipeline is optimized for analysis and is scalable for future growth.

Data Visualization Specialist: Graduates can work as data visualization specialists, creating compelling visual representations of data to help stakeholders understand complex information quickly and effectively. This role often involves expertise in tools like Tableau, Power BI, or D3.js.

Operations Analyst: Operations Analysts use data to identify inefficiencies in processes and help organizations optimize operations. They rely on data analytics to recommend improvements in workflow, production, and resource management.

Marketing Analyst: Graduates can work in marketing, analyzing consumer behavior, campaign performance, and market trends to help organizations target the right audience and improve their marketing strategies using data-driven insights.


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