M.S. in Artificial Intelligence
Florida Atlantic University's Master of Science (M.S.) in Artificial Intelligence p...
B.S. in Data Science and Analytics
Boca Raton, Florida
INTAKE: Jan, May & Aug
Program Overview
The Bachelor of Science in Data Science and Analytics at Florida Atlantic University is designed to equip students with the skills and knowledge necessary to analyze and interpret complex data sets. This program focuses on the intersection of statistics, computer science, and business, providing a comprehensive foundation in data analysis techniques and tools. Students are trained to turn data into actionable insights, a crucial skill in today’s data-driven world.
STEM-Designated: The B.S. in Data Science and Analytics is designated as a STEM (Science, Technology, Engineering, and Mathematics) program. This designation underscores the program's emphasis on quantitative analysis, computational methods, and technical skills. It also supports international students in applying for the STEM OPT (Optional Practical Training) extension, allowing them to gain additional work experience in the United States related to their field of study.
AACSB-Accredited: Florida Atlantic University’s College of Business, where the Data Science and Analytics program is housed, is accredited by the Association to Advance Collegiate Schools of Business (AACSB). This prestigious accreditation signifies that the program meets rigorous standards of excellence in business education, ensuring high-quality instruction and relevant curriculum content that aligns with industry needs.
Curriculum: The curriculum for the B.S. in Data Science and Analytics combines core courses in data science with electives that allow students to tailor their education to specific interests. Key courses include data mining, machine learning, statistical analysis, and database management. Students also engage in practical training through projects and internships, applying their skills to real-world data challenges. The curriculum is designed to build a strong foundation in data analytics, programming, and problem-solving, preparing graduates for various roles in the data science field.
Research Focus: The program emphasizes research in areas such as predictive analytics, big data, and data visualization. Faculty and students engage in research projects that explore innovative methods for analyzing and interpreting data. Topics of interest include algorithm development, data-driven decision-making, and the application of data science in various industries. The research focus aims to advance the field of data science and contribute to the development of new tools and techniques for data analysis.
Industry Engagement: Florida Atlantic University fosters strong industry connections to enhance students' learning experiences and career prospects. The program offers opportunities for internships, cooperative education, and industry-sponsored projects, allowing students to gain hands-on experience and network with professionals in the data science field. Additionally, guest lectures, workshops, and industry events provide students with insights into current trends and practices in data analytics.
Global Perspective: The B.S. in Data Science and Analytics incorporates a global perspective by addressing international data challenges and trends. Students learn about global data privacy regulations, international data markets, and cross-cultural data analysis. The program also encourages participation in study abroad programs and global research initiatives, enabling students to gain diverse perspectives on data science and its applications worldwide.
Location
Boca Raton, Florida
Score
IELTS 6.5
Tuition Fee
USD 17324
Undergraduate Entry Requirements
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 75% or above in their previous academic qualifications.
English Language Proficiency:
- IELTS: Overall band score of 6.5 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 80 or higher.
- PTE: Overall score of 55 or higher.
- DET (Duolingo English Test): Overall score of 110.
Standardized Test Requirements:
- SAT (Scholastic Assessment Test): Overall score of 1120 is required.
- ACT (American College Testing): Overall score of 26 is required.
To support this mission, the university offers a range of scholarships and financial aid opportunities tailored to the needs of international students.
International Freshman Scholarships: FAU offers merit-based scholarships for outstanding international freshman applicants. These scholarships are awarded based on academic achievements and standardized test scores. Awards can significantly reduce the cost of tuition.
International Transfer Scholarships: International students transferring to FAU from other institutions can apply for transfer scholarships. These awards recognize academic accomplishments at the previous institution and can help offset the cost of tuition at FAU.
Diversity Scholarships: FAU values diversity and inclusion. The Diversity Scholarship is available to students who have demonstrated a commitment to promoting diversity and inclusion in their academic and extracurricular activities.
Departmental Scholarships: Many academic departments at FAU offer scholarships specific to their disciplines. International students are encouraged to explore opportunities within their respective fields of study.
Global Student Success Program Scholarships: FAU partners with the Global Student Success Program (GSSP) to offer conditional admission and scholarship opportunities to international students who need additional English language preparation before starting their degree programs.
Private Scholarships: FAU assists international students in identifying external scholarship opportunities. This includes scholarships from foundations, organizations, and government programs in the students' home countries.
FAFSA for Eligible Non-Citizens: Some international students may be eligible to submit the Free Application for Federal Student Aid (FAFSA) as eligible non-citizens. This can potentially provide access to federal grants and loans.
Cultural and Exchange Scholarships: FAU participates in cultural exchange programs that offer scholarships to international students. These programs promote cultural understanding and academic exchange.
Graduates of the B.S. in Data Science and Analytics from Florida Atlantic University are well-equipped to enter a variety of roles in the data-driven job market. The program provides a strong foundation in data analysis, statistical methods, and computational techniques, which are highly valued across numerous industries.
Data Scientist: Data scientists analyze complex data sets to extract valuable insights and inform business decisions. They utilize advanced statistical methods, machine learning algorithms, and data visualization techniques to interpret data and solve problems. Their role often involves designing and implementing data models and communicating findings to stakeholders.
Data Analyst: Data analysts focus on examining and interpreting data to help organizations make informed decisions. They use statistical tools and software to clean, organize, and analyze data, creating reports and dashboards to present their findings. Data analysts play a crucial role in identifying trends, patterns, and anomalies in data.
Business Intelligence (BI) Analyst: BI analysts specialize in using data to drive business strategy and improve operational efficiency. They develop and maintain dashboards, generate performance reports, and provide actionable insights to support decision-making processes. Their work often involves integrating data from various sources and creating visualizations to communicate findings.
Data Engineer: Data engineers design, build, and maintain the infrastructure needed for data generation and analysis. They work on creating and optimizing data pipelines, ensuring data is collected, stored, and processed efficiently. Data engineers are crucial for managing large volumes of data and ensuring data quality and integrity.
Machine Learning Engineer: Machine learning engineers develop algorithms and models that enable computers to learn from and make predictions based on data. They work on implementing machine learning solutions, training models, and evaluating their performance. This role often involves programming, statistical analysis, and deep learning techniques.
Quantitative Analyst: Quantitative analysts, or "quants," use mathematical and statistical methods to analyze financial markets and develop trading strategies. They work in finance and investment firms, using data to forecast market trends, assess risk, and optimize investment portfolios.
Operations Analyst: Operations analysts focus on improving the efficiency and effectiveness of organizational processes. They use data analysis to identify operational inefficiencies, propose solutions, and implement process improvements. Their work often involves analyzing performance metrics and conducting cost-benefit analyses.
Marketing Analyst: Marketing analysts use data to evaluate and improve marketing strategies. They analyze consumer behavior, market trends, and campaign performance to help companies make data-driven marketing decisions. This role involves using statistical tools to measure the effectiveness of marketing initiatives and recommending strategies for optimization.
Health Data Analyst: Health data analysts work in the healthcare sector, analyzing patient data to improve healthcare delivery and outcomes. They examine electronic health records, clinical data, and other health-related information to support clinical research, policy-making, and patient care.
Data Consultant: Data consultants provide expert advice to organizations on how to leverage data for business growth and improvement. They work with clients to assess their data needs, develop strategies for data management, and implement data-driven solutions. This role often involves project management and client interaction.
Product Analyst: Product analysts focus on evaluating product performance and consumer feedback. They use data to assess product usage, identify market needs, and recommend enhancements. Their role involves analyzing product metrics, conducting user research, and supporting product development teams.
