M.S. in Accountancy
The Master of Science (M.S.) in Accountancy program at Marshall University is designed ...
Huntington, West Virginia
INTAKE: Jan & Aug
Marshall University's Bachelor of Science (B.S.) in Statistics program is designed to equip students with the skills and knowledge necessary to analyze and interpret data effectively. The program emphasizes the application of statistical methods to solve real-world problems, preparing graduates for careers in various industries where data analysis and decision-making are crucial. Students gain proficiency in statistical software, data management, and analytical techniques, making them valuable assets in today’s data-driven world.
STEM-Designated: The B.S. in Statistics at Marshall University is classified as a STEM (Science, Technology, Engineering, and Mathematics) program. This designation highlights the program’s focus on quantitative analysis and technical skills that are integral to the fields of science, technology, and data science. It reflects the program’s commitment to providing a rigorous education in statistical methods and data analysis, essential for careers in STEM-related industries.
Curriculum: The curriculum for the B.S. in Statistics is comprehensive and designed to build a strong foundation in statistical theory and practice. Core courses include probability theory, inferential statistics, regression analysis, and multivariate statistics. Students also learn to use statistical software and tools to analyze complex data sets. The program offers elective courses in specialized areas such as data mining, statistical programming, and advanced statistical methods, allowing students to tailor their studies to their interests and career goals.
Research Focus: Marshall University’s B.S. in Statistics program encourages students to engage in research activities that apply statistical techniques to solve practical problems. Faculty members are involved in research across various domains, including health statistics, environmental statistics, and social science research. Students may participate in research projects, contributing to studies and gaining hands-on experience in applying statistical methods to real-world issues.
Industry Engagement: The program emphasizes industry engagement through internships, collaborative projects, and partnerships with local organizations and businesses. Students have opportunities to work on real-world data analysis projects, gaining practical experience and building professional networks. Industry partnerships provide insights into how statistical methods are used in different sectors, including finance, healthcare, and technology, enhancing students’ preparedness for the job market.
Global Perspective: The B.S. in Statistics program incorporates a global perspective by exploring international trends and applications in data analysis. Students may have opportunities to participate in study abroad programs or engage in global research initiatives. This global outlook helps students understand how statistical methods are applied across different cultural and economic contexts, preparing them for careers in an interconnected world.
Huntington, West Virginia
IELTS 6
USD 20342
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:
Course by Course WES required
SPANTRAN Recommended
Marshall University offers several scholarship opportunities to international students to help them with the cost of their education. These scholarships are awarded based on academic achievement, leadership potential, and other criteria.
Marshall University Merit-Based Scholarships: These scholarships are awarded to international students based on their academic performance. The specific criteria and the value of the scholarships may vary. Students are automatically considered for these scholarships during the admission process.
Intensive English Program (IEP) Scholarship: Marshall University offers scholarships to students who enroll in the Intensive English Program (IEP) to improve their English language skills before beginning their degree program. These scholarships can help reduce the cost of language preparation.
International Student Scholarships: These scholarships are available to both undergraduate and graduate international students. The eligibility criteria and award amounts may vary based on academic achievement and program of study.
Undergraduate Competitive Scholarships: Marshall University provides a range of competitive scholarships for undergraduate international students. These may be based on factors like leadership, community involvement, or specific academic achievements.
External Scholarships: International students are encouraged to explore external scholarships, such as those offered by government agencies, foundations, and organizations in their home countries. Marshall University's International Student Office can provide guidance on external scholarship opportunities.
Honors College Scholarships: Exceptional undergraduate students may be eligible for Honors College scholarships. These scholarships are designed to support high-achieving students in their pursuit of advanced academic and research opportunities.
Departmental Scholarships: Some academic departments at Marshall University offer scholarships or assistantships specific to students in certain fields of study. Prospective graduate students should inquire within their respective departments.
Athletic Scholarships: International students with exceptional athletic abilities may be eligible for athletic scholarships if they are recruited to participate in Marshall University's sports programs.
It's important to note that scholarship availability and eligibility criteria can change over time.
Graduates of Marshall University's Bachelor of Science (B.S.) in Statistics program are well-positioned to pursue a variety of career paths that leverage their expertise in data analysis and statistical methods. The program provides a strong foundation in statistical theory and practice, preparing students for roles in multiple industries.
Data Analyst: Data Analysts use statistical techniques to interpret and analyze complex data sets. They help organizations make informed decisions by identifying trends, patterns, and insights from data. Data Analysts work in sectors such as finance, healthcare, marketing, and technology.
Statistician: Statisticians apply mathematical and statistical theories to collect, analyze, and interpret data. They design surveys and experiments, analyze results, and present findings to support decision-making processes in various industries, including government, research, and business.
Market Research Analyst: Market Research Analysts study market conditions to examine potential sales of a product or service. They use statistical methods to analyze consumer behavior, market trends, and competitive landscape, helping companies develop marketing strategies and make data-driven decisions.
Biostatistician: Biostatisticians work in the healthcare and pharmaceutical industries, applying statistical methods to analyze biological and medical data. They design and analyze clinical trials, evaluate treatment efficacy, and contribute to public health research.
Quantitative Analyst: Quantitative Analysts, or "Quants," use mathematical models and statistical techniques to analyze financial markets and securities. They work in investment banks, hedge funds, and financial institutions, developing models for trading strategies, risk management, and portfolio optimization.
Data Scientist: Data Scientists combine statistical analysis with computer science to analyze large and complex data sets. They develop algorithms, build predictive models, and create data visualizations to provide actionable insights and support strategic decision-making.
Operations Research Analyst: Operations Research Analysts use statistical and mathematical techniques to solve complex organizational problems. They focus on improving efficiency and effectiveness in areas such as logistics, supply chain management, and resource allocation.
Academic Researcher: Graduates interested in academic careers may pursue research positions in universities or research institutions. They engage in statistical research, publish findings, and contribute to advancing knowledge in statistical science and its applications.
Actuary: Actuaries use statistical models to assess financial risks and uncertainties, primarily in the insurance and finance sectors. They analyze data to design and evaluate insurance policies, pension plans, and risk management strategies.
Healthcare Analyst: Healthcare Analysts apply statistical methods to evaluate healthcare data, improve patient outcomes, and enhance operational efficiency. They work with healthcare providers and organizations to analyze clinical data, patient demographics, and treatment effectiveness.