Statistics

The Bachelor of Science in Statistics at Texas A&M University offers a comprehensive and rigorous curriculum designed to prepare students for diverse careers in data analysis, research, and decision-making across numerous industries. The program emphasizes both theoretical understanding and practical application of statistical methods, ensuring graduates are equipped to handle complex data challenges in today's data-driven world. Students will develop a strong foundation in probability theory, statistical inference, regression analysis, experimental design, and computational techniques, utilizing state-of-the-art software and programming languages such as R and SAS. The curriculum also includes courses in mathematics, computer science, and domain-specific applications to foster interdisciplinary skills. With opportunities for internships, research projects, and collaborations with industry partners, students gain valuable real-world experience. The program aims to produce graduates who are not only proficient in statistical methods but also possess critical thinking, problem-solving, and communication skills necessary to interpret and present data insights effectively. Graduates of the program are well-prepared for careers in data science, analytics, healthcare, finance, government agencies, and academia, or for further studies in graduate programs. Texas A&M's strong emphasis on research, ethical practices, and innovative methodologies ensures students are at the forefront of advancements in the field. The program also encourages participation in student organizations, workshops, and conferences to foster a vibrant academic community. Whether students aspire to work in industry, pursue graduate studies, or contribute to scientific research, the Bachelor of Science in Statistics provides a solid foundation for a successful career in the expanding and dynamic world of data analysis.

Requirements

• Submit your application through APPLYTEXAS or THE COALITION. Only one application per student. Choice of application has no bearing on the admission decision. The name entered on the application must match the name on your passport. If your name does not fit in the space provided, enter as many characters as the space will allow.
• $90 PROCESSING FEE (nonrefundable/subject to change)
• Submit an official high school or senior secondary transcript according to the education system of your country (generally the last three to four years).
• If enrolled in the final year of secondary education at the time of application, an official transcript showing completed and in-progress coursework must be received by the deadline.
• If you have attended multiple schools (including US accredited schools) then a transcript is required from each institution.
• If you transferred your foreign credits to a US school then only the US transcript is needed.
• If your educational system includes O-levels and A-levels then the completed O-level results and projected A-level results must be received by the deadline.
• If graduated from high school an official transcript is required; it must include senior courses, a graduation plan and date of graduation.
• OFFICIAL SAT or ACT Scores
• a minimum TOEFL score of: 550 for paper-based testing (p-BT) or 80 internet-based testing (i-BT)
• a minimum SAT:
  • Test date prior to March 2016-Critical Reading (Verbal) score of 500
  • Test date after March 2016-Evidence Based Reading and Writing (EBRW) score of 560
• a minimum ACT English score of 21
• a minimum IELTS score of 6.0 overall band
• a minimum PTE Academic score of 53

The financing studies of the Statistics program at Texas A&M University encompass a comprehensive overview of the financial aspects related to pursuing this degree. Tuition fees for Texas residents are approximately $12,000 per year, while non-residents pay around $40,000 annually. These costs cover instruction, access to laboratories, library resources, and other academic facilities. In addition to tuition, students should consider additional expenses such as housing, which varies depending on the location and type of accommodation but typically ranges between $8,000 and $12,000 per year. Food, personal expenses, and transportation add approximately $3,000 to $5,000 annually.

Many students financing their studies at Texas A&M University employ a combination of sources including federal and state financial aid, scholarships, grants, and student loans. The university offers various scholarship programs based on academic achievement, leadership, and financial need, some of which are renewable for multiple years pending continued eligibility. Federal aid programs such as Pell Grants, Federal Work-Study, and Stafford Loans are accessible to eligible students, helping to offset the costs of education. Additionally, Texas residents may qualify for state-funded grants and scholarships like the TEXAS Grant program, which provides substantial funding to in-state students.

Students are encouraged to apply early for financial aid through the Free Application for Federal Student Aid (FAFSA) to maximize their chances of receiving financial support. Part-time employment opportunities on campus or nearby communities are also available, allowing students to earn supplementary income while studying. The university provides financial planning resources and counseling services to assist students in managing their educational expenses effectively.

Internships and cooperative education (co-op) programs related to statistical analysis and data science often offer stipends or wages, which can supplement students' incomes. Many students also seek external scholarships offered by organizations, corporations, and alumni groups aimed specifically at students pursuing degrees in quantitative fields like statistics.

Overall, the financing of a Statistics program at Texas A&M University involves careful planning of tuition, living expenses, and potential financial aid resources. Students are advised to explore all available options early in their academic journey to ensure manageable financial commitments and to access the full range of aid and scholarship opportunities.

The Department of Statistics at Texas A&M University offers a comprehensive and rigorous program designed to prepare students for diverse careers in data analysis, statistical research, and decision-making. The program emphasizes both theoretical foundations and practical applications of statistics, ensuring that graduates are well-equipped to handle real-world data challenges across multiple industries. Students in the program have access to state-of-the-art facilities, including advanced computing resources and software such as R, SAS, and Python, enabling experiential learning and research opportunities. The curriculum covers core areas like probability theory, statistical inference, regression analysis, experimental design, Bayesian methods, and multivariate analysis, among others. Additionally, students are encouraged to engage in interdisciplinary projects, often collaborating with departments like engineering, business, and health sciences to apply statistical techniques to various domains. The program also offers specializations and electives tailored to interests such as biostatistics, business analytics, environmental statistics, and data science. Faculty members are distinguished researchers and industry professionals dedicated to mentoring students and advancing statistical science through cutting-edge research. The department actively promotes involvement in internships, research assistantships, and conference participation to enhance employability and professional growth. Graduates of the program often pursue careers in government agencies, healthcare, finance, technology, academic research, and consulting firms, as well as pursue advanced studies or academic careers. The university supports a vibrant academic community with student organizations, seminars, and workshops that foster collaboration and continuous learning. Overall, the Texas A&M University Statistics program combines rigorous academics, practical experience, and research opportunities to prepare students for successful careers in a data-driven world.