B.S. in Data Science and Statistics

Entry Requirements for Undergraduate programs Admission :

Application Fees : Undergraduate: $70

1. Academic Qualifications:

   • Applicants should have completed their secondary education with a minimum of 65% or above, demonstrating a strong academic foundation.
   • Equivalent qualifications from international education systems are considered, and applicants are encouraged to provide transcripts that showcase their academic achievements.
      

2. English Language Proficiency:

   • IELTS (International English Language Testing System): Overall score of 6.5 with no individual band score less than 6.
   • TOEFL iBT (Test of English as a Foreign Language, Internet-Based Test): Overall score of 80.
   • PTE (Pearson Test of English): Minimum score of 56.
   • DET (Duolingo English Test): Minimum score of 110.

Miami University is dedicated to promoting diversity and providing financial support to international students through various scholarship opportunities. These scholarships are designed to recognize academic achievements, leadership qualities, and contributions to the university community. 

1. International Student Scholarship: The International Student Scholarship at Miami University is designed to attract and support outstanding students from around the world. This merit-based scholarship considers academic achievements, leadership skills, and extracurricular involvement. Eligible students are typically evaluated based on their academic performance, standardized test scores, and a holistic review of their application. The scholarship is open to both undergraduate and graduate international students.

2. Global Miami Plan Scholarship: The Global Miami Plan Scholarship is aimed at international students who excel academically and demonstrate a commitment to global perspectives. This scholarship supports students pursuing majors related to global studies, international relations, or a similar field. Applicants are assessed based on their academic record, personal statement, and alignment with the goals of the Global Miami Plan. This scholarship is available for undergraduate students.

3. Miami University Foundation Scholarships: The Miami University Foundation offers a range of scholarships that are available to both domestic and international students. These scholarships cover various academic disciplines and are awarded based on merit, financial need, and specific criteria set by donors. Eligibility varies depending on the specific Foundation scholarship. Students are encouraged to review the criteria for each scholarship and apply accordingly.

4. Departmental Scholarships: Some academic departments at Miami University offer scholarships to international students based on their field of study. These scholarships may be tied to specific majors, programs, or academic achievements within a particular department. Eligibility is determined by the respective department's criteria, which may include academic performance, faculty recommendations, and other department-specific requirements.

5. Graduate Assistantships: Miami University provides graduate assistantship opportunities for international students pursuing graduate-level studies. These assistantships may involve teaching, research, or administrative responsibilities and often include a stipend and tuition remission. Graduate assistantships are typically awarded based on the applicant's academic qualifications, relevant skills, and the needs of the department.

6. Application Process: Interested international students are usually automatically considered for some scholarships upon submitting their admission applications. However, certain scholarships may require a separate application or additional materials. It is crucial for applicants to carefully review scholarship details and deadlines.

7. Renewal Criteria: Many scholarships at Miami University are renewable, subject to maintaining a specified GPA and meeting any other renewal criteria outlined in the scholarship award.

Miami University's B.S. in Data Science and Statistics opens doors to a myriad of promising career prospects. Graduates can step into the role of a data scientist, utilizing their statistical and data science expertise to extract insights from complex datasets. With a foundation in statistical theory, they may pursue careers as statisticians, contributing to evidence-based decision-making. The program's focus on modern data science techniques also prepares graduates for roles as machine learning engineers, where they develop and implement advanced models. Business analysts apply their skills to optimize business processes, while health data analysts contribute to the healthcare sector by analyzing data to enhance patient outcomes. In finance, graduates can become quantitative analysts, and in marketing, they can excel as market research analysts.

1. Data Scientist: Graduates of the B.S. in Data Science and Statistics are well-positioned for roles as data scientists. They leverage their expertise in statistical analysis and data science techniques to extract valuable insights from complex datasets, helping organizations make informed decisions and predictions.

2. Statistician: With a strong foundation in statistical theory, graduates can pursue careers as statisticians. They play a key role in designing experiments, collecting and analyzing data, and interpreting results, contributing to evidence-based decision-making in various industries such as healthcare, finance, and government.

3. Machine Learning Engineer: The program's focus on modern data science techniques prepares graduates for roles as machine learning engineers. They work on developing and implementing machine learning models, contributing to the automation of data analysis processes and the creation of predictive algorithms.

4. Business Analyst: Graduates may choose paths as business analysts, where they apply their statistical and data science skills to analyze business processes, identify opportunities for improvement, and make recommendations to enhance efficiency and effectiveness.

5. Health Data Analyst: The healthcare industry increasingly relies on data for decision-making, making health data analysts in high demand. Graduates can contribute to this field by analyzing health-related data, identifying patterns, and providing insights to improve patient outcomes and healthcare processes.

6. Quantitative Analyst (Quant): In the finance sector, graduates can pursue careers as quantitative analysts or "quants." They apply advanced statistical and mathematical models to analyze financial data, assess risk, and inform investment strategies.

7. Market Research Analyst: With expertise in statistics and data science, graduates are well-suited for roles as market research analysts. They collect and analyze data on consumer preferences, market trends, and competitive landscapes, assisting organizations in making informed marketing decisions.