B.S. Statistics

The B.S. in Statistics at The University of Akron provides students with a strong foundation in statistical theory, methods, and applications. This program prepares graduates for careers in data analysis, research, and decision-making across various industries, including finance, healthcare, government, and technology.

STEM-Designated: The program is STEM-designated, emphasizing rigorous training in science, technology, engineering, and mathematics. This designation underscores the program's quantitative focus and its alignment with industry demands for statistical expertise.

Curriculum: The curriculum of the B.S. in Statistics includes core courses in probability theory, statistical inference, regression analysis, experimental design, and computational statistics. Students also gain proficiency in statistical software such as R, SAS, and Python, essential for data analysis and modeling.

Research Focus: The program encourages research in statistics through projects, internships, and collaborations with faculty and industry partners. Students have opportunities to apply statistical methods to real-world problems in areas such as environmental science, business analytics, social sciences, and healthcare.

Industry Engagement: The University of Akron fosters strong connections with industry leaders, offering students internships, co-op programs, and collaborative research opportunities. This engagement provides students with practical experience and networking opportunities that enhance their professional development and career readiness.

Global Perspective: With a global perspective integrated into the curriculum, the program prepares students to apply statistical methods in diverse cultural and international contexts. Courses emphasize global data challenges, ethical considerations, and cross-cultural communication skills, preparing graduates for roles in multinational corporations or international research settings.

Undergraduate Entry Requirements

Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 65% or above in their previous academic qualifications.

English Language Proficiency:

• IELTS: Overall band score of 6.0 with a minimum of 6.0 in each component.
• TOEFL: Overall score of 71 or higher.
• DET (Duolingo English Test): Minimum score of 95.
• SAT: Not required for undergraduate admissions.

The University of Akron (UA) offers a variety of scholarships to support international students financially. These scholarships are designed to help alleviate the cost of tuition and support academic excellence. 

Merit Scholarships: Merit scholarships at UA are automatically considered for all incoming first-year students. These awards are based on a comprehensive review of the applicant’s academic transcripts, curriculum, and cumulative GPA. 

Williams Honors College Scholarships: First-year, transfer, and continuing students who meet specific academic qualifications can apply for the Williams Honors College Scholarships. These scholarships range from $1,500 to $2,000 and require an application to the Williams Honors College, including an interview. 

Provost’s Scholarships for Transfer Students: These scholarships, ranging from $1,000 to $5,000, are available to students transferring from another regionally accredited college or university. Transfer students are automatically considered for these awards upon applying for admission​.

International Student Scholarship Opportunities: International students can also benefit from various specific scholarships offered by different departments and programs within the university. For instance, the Buchtel College of Arts and Sciences offers numerous scholarships for students pursuing majors within their disciplines. These range from awards for academic merit to those supporting specific fields of study​​.

Graduates of the B.S. in Statistics from The University of Akron are well-prepared for a wide range of career opportunities that require strong analytical and statistical skills. 

Statistician: Statisticians collect, analyze, and interpret data to help organizations make informed decisions. They work in industries such as healthcare, finance, government, and market research.

Data Analyst: Data analysts clean, organize, and interpret data to provide insights that support business decisions. They use statistical techniques and software tools to analyze large datasets and present findings to stakeholders.

Quantitative Analyst (Quant): Quants apply statistical and mathematical models to analyze financial markets and develop trading strategies. They work in finance, using data to assess risk and optimize investment decisions.

Biostatistician: Biostatisticians work in healthcare and research settings, analyzing data related to diseases, treatments, and public health issues. They collaborate with medical researchers and healthcare professionals to improve patient outcomes.

Market Research Analyst: Market research analysts study market conditions to assess potential sales of a product or service. They analyze consumer data, conduct surveys, and interpret findings to help businesses understand market trends and customer preferences.

Statistical Consultant: Statistical consultants provide expertise in statistical analysis and research methodology to businesses, government agencies, and research institutions. They assist clients in designing studies, analyzing data, and interpreting results.

Operations Research Analyst: Operations research analysts use mathematical and statistical methods to solve complex problems and optimize decision-making processes in organizations. They work in logistics, manufacturing, and supply chain management.

Economist: Economists analyze economic data and trends to forecast market conditions, assess policy impacts, and provide economic insights to businesses, governments, and organizations.

Quality Assurance Analyst: Quality assurance analysts monitor and evaluate processes to ensure products and services meet quality standards. They use statistical methods to analyze performance data and identify areas for improvement.

Actuarial Analyst: Actuarial analysts assess financial risks using statistical models to help insurance companies and financial institutions make decisions about pricing, underwriting, and risk management.