Data Science, Analytics and Visualization

The Bachelor’s degree in Data Science, Analytics, and Visualization at Chaminade University of Honolulu equips students with the necessary skills to thrive in the burgeoning field of data analysis. This program covers a diverse range of topics, including statistical methods, data mining, machine learning, and data visualization techniques. Students will engage in hands-on projects that empower them to analyze real-world data and derive insightful conclusions.

Throughout the course, learners will work with various programming languages and tools, including Python, R, SQL, and data visualization software. The curriculum emphasizes both theoretical frameworks and practical applications, allowing students to develop a robust understanding of data lifecycle management—from data collection and processing to analysis and presentation.

Chaminade University's location provides a unique opportunity to apply data science techniques within diverse contexts, including healthcare, environmental science, and business analytics relevant to the Pacific region. By studying in Hawaii, students can immerse themselves in a multicultural environment that enhances their learning experience and expands their perspectives on global data challenges.

Graduates will not only have technical proficiency but also the critical thinking and problem-solving skills necessary to address complex data challenges in various sectors. The program prepares students for a dynamic career in a rapidly evolving industry.

To be eligible for the Bachelor’s degree in Data Science, Analytics, and Visualization, applicants typically need to have completed secondary education with a strong emphasis on mathematics and sciences. A solid foundation in analytical thinking and problem-solving is desirable. Some programs may also require supplementary materials such as recommendation letters or personal statements highlighting relevant interests and experiences in data-related fields.

All international students are generally required to demonstrate proficiency in the English language. This can often be through standardized tests such as IELTS or TOEFL. A competitive score in these assessments indicates readiness for rigorous academic engagement, with many institutions looking for an IELTS score of around 6.5 or a TOEFL score of 79 and above as a benchmark.

International students must ensure they obtain the appropriate student visa to study in the destination country. Typically, this involves providing documentation such as proof of acceptance into the program, financial stability, and sometimes medical insurance. It is essential to check the official government website for specific requirements, as they can vary significantly based on one's nationality and personal circumstances.

• Data Analyst
• Data Scientist
• Business Intelligence Analyst
• Statistician
• Data Engineer
• Machine Learning Engineer
• Market Research Analyst
• Operations Analyst
• Research Scientist
• Consultant in Data Strategy