B.A. in Data Analytics

Oxford, Ohio

 

INTAKE: Jan & Aug

Program Overview

Miami University's B.A. in Data Analytics stands as a beacon of excellence, offering students a transformative educational experience in the burgeoning field of data analytics. The program's interdisciplinary curriculum is a hallmark, providing students with a holistic understanding by integrating insights from statistics, computer science, and business. Central to the program is the development of quantitative and analytical skills, achieved through courses in statistical analysis, data visualization, and machine learning. The emphasis on real-world applications ensures that students not only grasp theoretical concepts but also apply their knowledge to practical scenarios, solving business challenges through data-driven insights. A distinctive feature is the program's commitment to ethical considerations in data analytics, preparing students to navigate the complexities of responsible data use and privacy. Miami University's B.A. in Data Analytics also keeps pace with industry trends by incorporating hands-on experience with industry-relevant technologies like Python, R, SQL, and data visualization platforms. This comprehensive and forward-thinking program equips graduates with the skills and ethical grounding needed to excel in the dynamic and evolving landscape of data analytics.

Curriculum:

  1. Interdisciplinary Curriculum: The B.A. in Data Analytics at Miami University offers an interdisciplinary curriculum, drawing insights from fields such as statistics, computer science, and business. This approach ensures that students gain a well-rounded understanding of data analytics, covering both technical and business aspects.

  2. Quantitative and Analytical Skills Development: The program focuses on developing students' quantitative and analytical skills. Through courses in statistical analysis, data visualization, and machine learning, students acquire the tools and techniques needed to analyze large datasets and extract meaningful insights.

  3. Real-World Applications: Miami University's program emphasizes the practical application of data analytics. Students engage in real-world projects and case studies, applying their analytical skills to solve business problems and make informed decisions, preparing them for the demands of the professional landscape.

  4. Ethical Considerations in Data Analytics: Recognizing the ethical implications of working with data, the program explores ethical considerations in data analytics. Students learn about responsible data use, privacy concerns, and the ethical considerations that arise when working with sensitive information.

  5. Industry-Relevant Technologies: The curriculum incorporates industry-relevant technologies commonly used in the field of data analytics. Students gain hands-on experience with tools such as Python, R, SQL, and data visualization platforms, ensuring they are proficient in the tools employed by professionals in the industry.

Pollster Education

Location

Oxford, Ohio

Pollster Education

Score

IELTS: 6.5

Pollster Education

Tuition Fee

USD 38122

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.A. in Data Analytics opens doors to a plethora of dynamic and high-demand career prospects. Graduates may find themselves as data analysts, unraveling the insights hidden in datasets to guide strategic decisions. Business intelligence analysts leverage data to enhance decision-making processes and drive organizational growth. For those seeking advanced roles, the program paves the way for careers as data scientists, contributing to innovative solutions in various industries. Data engineers design and maintain the systems for processing large volumes of data, ensuring efficiency and reliability. The program's alignment with data-driven decision-making also positions graduates for roles in market research analysis, healthcare data analysis, and risk analysis.

  1. Data Analyst: Graduates of the B.A. in Data Analytics program are well-suited for roles as data analysts. They analyze and interpret complex datasets to provide actionable insights, helping organizations make informed decisions. Data analysts play a pivotal role in identifying trends, patterns, and opportunities that drive business strategies.

  2. Business Intelligence Analyst: With a focus on extracting meaningful insights from data, graduates can pursue careers as business intelligence analysts. They work closely with business stakeholders, leveraging data to enhance decision-making processes, optimize operations, and drive organizational growth.

  3. Data Scientist: For those seeking advanced roles, the program prepares graduates to become data scientists. Data scientists employ advanced statistical and machine learning techniques to derive deeper insights, build predictive models, and contribute to innovative solutions in fields such as healthcare, finance, and technology.

  4. Data Engineer: Graduates may choose paths as data engineers, responsible for designing, constructing, and maintaining the systems and architecture necessary for processing and analyzing large volumes of data. They play a crucial role in ensuring the efficiency and reliability of data infrastructure.

  5. Market Research Analyst: The program's emphasis on data-driven decision-making aligns with roles in market research analysis. Graduates can work in this capacity, collecting and analyzing data to evaluate market trends, consumer behavior, and competitive landscapes, assisting organizations in making strategic marketing decisions.

  6. Healthcare Data Analyst: With the increasing importance of data in healthcare, graduates may specialize as healthcare data analysts. They work with healthcare organizations to analyze patient data, optimize healthcare processes, and contribute to improving patient outcomes through data-driven insights.

  7. Risk Analyst: Graduates can pursue roles as risk analysts, particularly in finance and insurance sectors. They analyze data to identify potential risks, assess the impact of these risks on organizations, and develop strategies to mitigate them, contributing to the overall risk management framework.


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