Masters of Business Administration (MBA)
Wright State University, located in Dayton, Ohio, offers a prestigious Master of Busine...
Dayton, Ohio
INTAKE: Jan, May & Aug
The Bachelor of Science (B.S.) in Statistics at Wright State University is designed to provide students with a robust foundation in statistical theory and practice. This program emphasizes the application of statistical methods to solve real-world problems across various fields, including business, healthcare, engineering, and social sciences. Students develop strong analytical skills, learn to interpret complex data, and gain proficiency in statistical software and methodologies. The program aims to prepare graduates for careers in data analysis, research, and statistical consulting.
STEM-Designated: The B.S. in Statistics at Wright State University is designated as a STEM (Science, Technology, Engineering, and Mathematics) program. This designation highlights the program's focus on quantitative and analytical skills that are essential in data-driven fields. The STEM classification reflects the program’s commitment to providing a rigorous education in statistical methods, data science, and computational techniques, preparing students for careers in industries that rely heavily on statistical analysis and data interpretation.
Curriculum: The curriculum for the B.S. in Statistics at Wright State University is designed to provide a comprehensive education in statistical theory and practice. Core courses include probability theory, statistical inference, regression analysis, and experimental design. Students also take courses in statistical computing and data management, which equip them with practical skills in using statistical software and tools. Elective courses allow students to explore specialized topics such as biostatistics, data mining, and time series analysis. The curriculum is designed to balance theoretical understanding with practical application, ensuring that students are well-prepared for both academic and professional pursuits.
Research Focus: Research within the B.S. in Statistics program at Wright State University often centers on the development and application of statistical methodologies to various domains. Faculty and students engage in research projects that explore advanced statistical techniques, data analysis methods, and their applications in fields such as healthcare, social sciences, and engineering. Research topics may include predictive modeling, statistical genetics, and the application of machine learning algorithms. This research focus supports the program’s commitment to advancing statistical science and contributes to the broader field of data analysis.
Industry Engagement: Wright State University’s Statistics program maintains strong connections with industry professionals and organizations. The program offers opportunities for internships, co-op placements, and collaborative projects with local businesses, research institutions, and government agencies. These industry engagements provide students with practical experience and insights into the application of statistical skills in professional settings. Additionally, the program often hosts seminars, workshops, and guest lectures with industry experts to keep students informed about current trends and practices in the field of statistics.
Global Perspective: The B.S. in Statistics program at Wright State University incorporates a global perspective by addressing the use of statistical methods in international contexts. Students learn about global data challenges, such as those related to health, economics, and environmental issues. The program emphasizes the importance of understanding diverse data sources and methodologies from around the world. Students are encouraged to engage with global statistical communities through research collaborations, study abroad opportunities, and participation in international conferences. This global perspective prepares students to work effectively in a globalized data environment and address statistical challenges on an international scale.
Dayton, Ohio
IELTS 6
USD 20906
Undergraduate Entry Requirements
Application Fee: $30
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 65% or above in their previous academic qualifications.
English Language Proficiency:
Wright State University offers several scholarships and financial aid opportunities to support international students pursuing their education in the United States. These scholarships can help offset the cost of tuition and make studying at Wright State more affordable.
International Student Merit Scholarship: Wright State offers merit-based scholarships for international students. These scholarships are awarded to outstanding students based on their academic achievements. The scholarship amount may vary depending on the student's qualifications.
Global Scholarship: The Global Scholarship is designed to recognize the cultural diversity that international students bring to the university. This scholarship may also be awarded based on academic merit and ranges in value.
International Friendship Scholarship: This scholarship is provided by the Office of International Students and Scholars (OISS) at Wright State University. It is aimed at helping international students with financial need. The amount may vary based on available funding.
External Scholarships: International students are encouraged to explore external scholarship opportunities, which may be available through various organizations, foundations, and governments. These scholarships can supplement the cost of education at Wright State.
Departmental Scholarships: Some academic departments at Wright State University offer scholarships to students pursuing specific fields of study. Eligibility and award amounts can vary.
Graduates of the Bachelor of Science (B.S.) in Statistics program at Wright State University have a wide range of career opportunities available to them. The program equips students with the analytical skills and technical knowledge necessary to excel in various fields where data analysis and statistical methods are crucial.
Data Analyst: Data Analysts work with large datasets to identify trends, generate insights, and support decision-making processes. They use statistical software and techniques to analyze data, create reports, and visualize findings for business, healthcare, or governmental organizations.
Statistician: Statisticians apply mathematical and statistical methods to analyze data and solve problems. They work in diverse sectors such as finance, government, and research, providing expertise in designing experiments, conducting surveys, and interpreting statistical results.
Quantitative Analyst: Quantitative Analysts, often referred to as "Quants," use mathematical models and statistical techniques to analyze financial data and develop trading strategies. They work primarily in the finance industry, including investment banks, hedge funds, and financial consulting firms.
Market Research Analyst: Market Research Analysts study market conditions to examine potential sales of a product or service. They use statistical methods to analyze data on consumer preferences, market trends, and competitive landscapes, helping companies make informed marketing and business decisions.
Biostatistician: Biostatisticians apply statistical techniques to biological, medical, and public health research. They work with clinical trial data, epidemiological studies, and genetic research to analyze trends, evaluate treatment effectiveness, and support evidence-based medicine.
Operations Research Analyst: Operations Research Analysts use advanced mathematical and statistical methods to help organizations solve complex problems and improve decision-making. They focus on optimizing processes, resource allocation, and operational efficiency in various industries.
Actuary: Actuaries use statistical and mathematical models to assess risk and uncertainty in the insurance and finance sectors. They analyze data related to financial investments, insurance policies, and pension plans to help organizations manage risk and make strategic decisions.
Data Scientist: Data Scientists combine statistical analysis with programming and machine learning techniques to extract insights from large and complex datasets. They develop predictive models, perform data mining, and apply data science methodologies to solve business problems.
Research Scientist: Research Scientists in statistics conduct studies to advance knowledge in their field. They work in academic, governmental, or private research settings, designing experiments, analyzing data, and publishing their findings in scientific journals.
Consultant: Statistical Consultants provide expertise in statistical analysis and methodology to organizations across various sectors. They offer guidance on study design, data analysis, and interpretation of results, often working on a project basis.