B.S. in Data Science

Undergraduate Entry Requirements

Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 70% 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 79 or higher.
• DET (Duolingo English Test): Overall score of 110.

The University of Tampa is making education accessible to students from around the world, and these scholarships help ease the financial burden for international students pursuing their academic goals at UT.

International Student Scholarship: The University of Tampa offers competitive merit-based scholarships to international undergraduate students. These scholarships are awarded based on academic achievements, standardized test scores, and other accomplishments. The amounts vary but can significantly reduce tuition costs.

Honors Program Scholarships: Exceptional international students may be eligible for the Honors Program at UT, which comes with additional scholarships and academic benefits. These scholarships are highly competitive and aim to attract top-tier students.

Alumni Legacy Scholarship: This scholarship is available to international undergraduate students who have a parent or grandparent who graduated from the University of Tampa. It offers financial assistance to the next generation of UT students.

Phi Theta Kappa Scholarships: Transfer students who are members of the Phi Theta Kappa honor society may be eligible for this scholarship. It recognizes academic excellence and helps reduce the cost of attending UT.

Sports Scholarships: UT has a successful athletics program, and international students with exceptional athletic abilities may be considered for sports scholarships. These scholarships are typically awarded to student-athletes who excel in their chosen sport.

External Scholarships: While not directly offered by UT, international students are encouraged to explore external scholarship opportunities. Various organizations, foundations, and governments provide scholarships for students studying in the United States. UT's financial aid office can assist in identifying these opportunities.

Tampa Scholars Program: This scholarship program is designed for high-achieving Florida residents, but a limited number of scholarships may be available for out-of-state and international students. It provides a comprehensive financial aid package.

It's important for international students to review the specific eligibility criteria and application deadlines for each scholarship opportunity. Additionally, maintaining good academic standing is often a requirement for scholarship renewal.

Graduates of the Bachelor of Science in Data Science program from the University of Tampa are equipped to pursue a range of exciting and high-demand careers in the data science field. This degree provides the skills and knowledge necessary to analyze complex datasets, derive actionable insights, and support decision-making processes across various sectors. 

Data Analyst: Data analysts interpret data to provide insights that drive business decisions. They use statistical tools and techniques to analyze trends, create reports, and visualize data. Data analysts work in various industries, including finance, healthcare, marketing, and technology.

Data Scientist: Data scientists build and deploy models to analyze large datasets and solve complex problems. They utilize machine learning algorithms, statistical methods, and programming skills to extract insights and make predictions. Data scientists work in diverse fields, such as technology, finance, and research.

Business Intelligence Analyst: Business intelligence analysts focus on using data to inform strategic business decisions. They design and implement data reporting systems, analyze business trends, and provide recommendations based on data insights. This role often involves working closely with stakeholders to address business needs.

Machine Learning Engineer: Machine learning engineers develop algorithms and models that enable computers to learn from data and make decisions. They work on creating predictive models and improving machine learning techniques, often collaborating with data scientists and software engineers.

Data Engineer: Data engineers design, build, and maintain the infrastructure required for collecting, storing, and processing data. They work on developing data pipelines, databases, and data warehousing solutions to ensure that data is accessible and usable for analysis.

Quantitative Analyst: Quantitative analysts, or "quants," use mathematical models and statistical techniques to analyze financial markets and investment strategies. They often work in finance and investment firms, developing models to support trading, risk management, and portfolio optimization.

Data Consultant: Data consultants provide expertise to organizations looking to leverage data for business improvements. They assess data needs, recommend solutions, and help implement data-driven strategies. Data consultants often work independently or as part of consulting firms.

Operations Research Analyst: Operations research analysts use advanced analytical methods to help organizations solve complex problems and improve decision-making. They focus on optimizing processes, resource allocation, and logistics through data analysis and modeling.

Healthcare Data Analyst: Healthcare data analysts specialize in analyzing data related to patient care, medical outcomes, and operational efficiency in healthcare settings. They work to improve healthcare delivery, manage costs, and support clinical research.

Data Science Educator/Trainer: Some graduates choose to teach data science concepts and techniques, either at educational institutions or through corporate training programs. They help others develop skills in data analysis, programming, and machine learning.