M.S. in Accounting
The University of Tampa, situated in the vibrant city of Tampa, Florida, is celebrated ...
Tampa, Florida
INTAKE: Jan & Aug
The Bachelor of Science (B.S.) in Mathematics with Computer Science at the University of Tampa is designed for students interested in combining mathematical theory with practical computer science applications. This interdisciplinary program provides a solid foundation in both fields, preparing graduates for careers in technology, data analysis, and computational research. The curriculum integrates rigorous mathematical training with comprehensive computer science education, enabling students to solve complex problems and develop innovative solutions.
STEM-Designated: The B.S. in Mathematics with Computer Science is designated as a STEM (Science, Technology, Engineering, and Mathematics) program. This designation highlights the program's emphasis on quantitative analysis, technological skills, and scientific methods. The STEM classification reflects the program's focus on developing expertise in both mathematical reasoning and computational techniques, equipping students with the skills needed for careers in tech-driven industries and research fields.
Curriculum: The curriculum for the B.S. in Mathematics with Computer Science combines core courses in mathematics and computer science with electives that allow students to tailor their studies to specific interests. Core mathematics courses include calculus, linear algebra, and differential equations, while core computer science courses cover programming, data structures, and algorithms. Students also explore advanced topics such as numerical methods, cryptography, and software engineering. The curriculum is designed to foster problem-solving skills, analytical thinking, and technical proficiency.
Research Focus: The program emphasizes research and practical application in both mathematics and computer science. Students have opportunities to engage in research projects that explore areas such as algorithm design, data analysis, machine learning, and mathematical modeling. The faculty members are actively involved in research and often collaborate with students on projects, providing valuable mentorship and guidance. Research initiatives may include developing new algorithms, analyzing large datasets, or applying mathematical theories to real-world problems.
Industry Engagement: Industry engagement is a key component of the B.S. in Mathematics with Computer Science program. Students have access to internships, cooperative education opportunities, and industry partnerships that provide hands-on experience and professional connections. The program encourages students to participate in industry events, career fairs, and networking opportunities to build relationships with potential employers and gain insights into industry trends. Collaboration with local tech companies and research institutions further enhances students' practical experience and career readiness.
Global Perspective: The program incorporates a global perspective by addressing international trends and issues in mathematics and computer science. Students explore how mathematical models and computational techniques are applied in various global contexts, including finance, healthcare, and environmental science. The University of Tampa also offers study abroad programs and international internships, allowing students to gain cross-cultural experience and understand how mathematical and computational methods are used worldwide.
Tampa, Florida
IELTS 6.5
USD 33424
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:
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 with a Bachelor of Science (B.S.) in Mathematics with Computer Science from the University of Tampa are well-prepared for a diverse array of careers that leverage their expertise in both mathematics and computing. The interdisciplinary nature of this degree opens doors to numerous opportunities across various sectors.
Software Developer: Software developers design, create, and maintain software applications and systems. With their strong background in computer science and mathematics, graduates are equipped to tackle complex programming challenges, develop algorithms, and implement software solutions.
Data Scientist: Data scientists analyze and interpret large datasets to extract valuable insights and inform decision-making. Their expertise in mathematics and computational techniques enables them to build statistical models, perform data mining, and utilize machine learning algorithms to address complex problems.
Computer Systems Analyst: Computer systems analysts evaluate and improve computer systems for businesses and organizations. They use their knowledge of computer science and mathematics to assess system performance, recommend enhancements, and ensure that technology solutions align with organizational needs.
Quantitative Analyst: Quantitative analysts, or "quants," apply mathematical and statistical methods to financial and risk management problems. They work in finance and investment firms, developing models to predict market trends, evaluate financial risks, and support trading strategies.
Cybersecurity Analyst: Cybersecurity analysts protect computer systems and networks from cyber threats. Their understanding of mathematics and computer science helps them develop security protocols, detect vulnerabilities, and implement measures to safeguard sensitive information.
Machine Learning Engineer: Machine learning engineers design and develop algorithms that enable computers to learn from data and make predictions or decisions. Their skills in mathematics and computer science are crucial for creating sophisticated models and optimizing machine learning processes.
Operations Research Analyst: Operations research analysts use mathematical techniques to solve complex organizational problems and improve decision-making. They analyze data, develop optimization models, and provide recommendations to enhance efficiency and effectiveness in various industries.
Database Administrator: Database administrators manage and maintain databases to ensure their integrity, security, and performance. They use their knowledge of computer science and mathematics to design database structures, perform data analysis, and ensure optimal database operation.
Systems Architect: Systems architects design and oversee the development of complex IT systems. They use their expertise in both mathematics and computer science to create scalable and efficient system architectures that meet the needs of businesses and organizations.
Bioinformatician: Bioinformaticians apply computational and mathematical techniques to biological data, such as genomic sequences. They work in research institutions, biotechnology firms, and healthcare organizations to analyze biological data and support discoveries in fields like genetics and molecular biology.
Actuary: Actuaries assess financial risks using mathematical and statistical methods. They work in insurance, finance, and pension sectors, developing models to evaluate potential risks and determine appropriate financial strategies.
Mathematical Modeler: Mathematical modelers create and analyze mathematical models to simulate real-world phenomena. They apply their skills in mathematics and computer science to model complex systems in fields such as engineering, environmental science, and economics.
IT Consultant: IT consultants advise organizations on technology solutions and strategies. Their background in computer science and mathematics allows them to provide expert recommendations on system implementations, software development, and technology integration.
Academia/Research: Some graduates may choose to pursue advanced degrees and engage in academic or industrial research. They contribute to advancing knowledge in mathematics and computer science through research, teaching, and publications.