M.S. in Data Science

Entry Requirements for Postgraduate Programs

1. Academic Qualifications:

   • Applicants should possess a bachelor's degree or its equivalent from a recognized institution. A minimum requirement is generally a GPA of 3.0 on a 4.0 scale, which is roughly equivalent to 60% or above.
      

2. English Language Proficiency:

   • IELTS: A minimum 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): A minimum overall score of 79.
   • DET (Duolingo English Test): A minimum score of 105.
      
3. Standardized Test Requirements:                                                                                                                                           
   • GRE(Graduate Record Examination): A minimum GRE score of 300 is required.

Scholarships for International Students at Embry-Riddle Aeronautical University:

Embry-Riddle Aeronautical University offers several scholarships and financial aid options to international students to help make their education more affordable. Scholarships are typically awarded based on academic achievement, leadership, and other criteria. 

1. International Presidential Scholarship: This scholarship is awarded to exceptional international students who demonstrate strong academic achievement. It's typically based on a student's high school GPA, standardized test scores, and leadership qualities. The scholarship amount may vary.

2. International Student Academic Scholarships: These scholarships are offered to international students who have achieved high academic performance. Eligibility is usually determined based on the applicant's high school or previous college academic record.

3. Talent-Based Scholarships: Embry-Riddle offers scholarships to students with exceptional talents in areas like aviation, engineering, and related fields. These scholarships are often awarded to students who have demonstrated outstanding achievements or contributions in their respective areas.

4. Aviation Scholarships: Given the university's strong focus on aviation, there are specific scholarships available for students pursuing degrees in aviation-related fields. These scholarships may be awarded based on factors like flight hours, certifications, or specialized skills.

5. Diversity Scholarships: Embry-Riddle is committed to promoting diversity and inclusion. Scholarships may be available to students from underrepresented backgrounds who can contribute to the university's diverse community.

6. Athletic Scholarships: For international students who excel in sports, athletic scholarships may be an option. These scholarships are typically awarded based on athletic performance and skills.

7. Study Abroad Scholarships: Embry-Riddle encourages international students to participate in study abroad programs. Scholarships may be available to help students fund these global learning experiences.

8. Endowed Scholarships: The university may have a variety of endowed scholarships funded by alumni and donors. These scholarships can cover a wide range of criteria and may have specific requirements.

9. Assistantships: While not traditional scholarships, assistantships provide opportunities for students to work part-time in various roles on campus. These roles can come with financial benefits, helping students cover their educational expenses.

10. External Scholarships: International students can also explore scholarship opportunities offered by external organizations, foundations, and government agencies in their home countries.

It's crucial for prospective international students to thoroughly research scholarship opportunities, understand the eligibility criteria, and meet application deadlines.

Embry-Riddle Aeronautical University's Master of Science (M.S.) in Data Science program is designed to empower graduates with the knowledge and skills required to embark on promising career paths in the dynamic field of data science.  

1. Data Scientist: As data scientists, graduates analyze large datasets, extract valuable insights, and provide data-driven solutions to organizations. They play a pivotal role in decision-making processes by utilizing statistical, analytical, and machine learning techniques.

2. Machine Learning Engineer: Graduates can specialize in machine learning, developing algorithms and models to make predictions and automate decision-making processes. They work on applications such as recommendation systems and natural language processing.

3. Business Intelligence Analyst: Business intelligence analysts transform data into actionable information for businesses. They create visualizations, reports, and dashboards to assist organizations in making informed decisions.

4. Data Analyst: Data analysts focus on collecting, cleaning, and organizing data. They are responsible for providing reports and insights to support business strategies and decision-making.

5. Big Data Engineer: Big data engineers design and manage the infrastructure for processing and storing large volumes of data. They work with technologies like Hadoop and Spark to ensure data accessibility and scalability.

6. Database Administrator: Database administrators manage an organization's databases, ensuring data integrity, security, and performance. They play a crucial role in maintaining data quality.

7. Quantitative Analyst (Quant): Quants, often found in finance and risk management, use mathematical and statistical models to assess financial markets, develop trading strategies, and manage risk.

8. Data Engineer: Data engineers focus on data architecture and the construction of data pipelines. They are responsible for the collection, transformation, and integration of data from various sources.

9. Healthcare Data Analyst: In the healthcare industry, data analysts use data to improve patient care, enhance operational efficiency, and ensure compliance with healthcare regulations.

10. Consultant: Many graduates opt for consulting roles, working with a variety of clients to solve data-related challenges, implement best practices, and develop data strategies.

11. Government and Defense: Data science professionals are in demand in government agencies and defense organizations, where they work on tasks such as intelligence analysis, threat detection, and national security.

12. Research and Development: Those interested in innovation can work in research and development, contributing to the advancement of data science technology and methodologies.

13. Academic Careers: Graduates with a passion for education can pursue academic careers, teaching data science and conducting research in educational institutions.

14. Financial Analyst: Data-driven decisions are vital in finance, and data science graduates can excel as financial analysts, working for banks, investment firms, and insurance companies.

15. Retail Analyst: Retail analysts use data to optimize inventory management, pricing, and customer experiences in the retail industry.

16. Energy Analyst: In the energy sector, graduates can work as energy analysts, focusing on data analysis to improve energy efficiency and sustainability.