M.S. in Data Analytics Engineering

Entry Requirements for Postgraduate Programs

Application Fees : US$ 75

1. Academic Qualifications: Applicants must hold a bachelor's degree or its equivalent from a recognized institution. The degree should be relevant to the chosen field of study for the postgraduate program.

2. Grade Point Average (GPA): The minimum GPA requirement for admission to most postgraduate programs at George Mason University is 3.0 on a 4.0 scale.  

3. English Language Proficiency:  

• IELTS: Overall score of 6.5, with no individual band score below 6.0
• TOEFL iBT: Overall score of 80.
• DET (Duolingo English Test): Overall score of 120

George Mason University recognizes the importance of making higher education accessible to a diverse range of students, including international students. As such, the university offers a variety of scholarships to help offset the cost of tuition and support the academic pursuits of international students.

1. Global Excellence Scholarship: The Global Excellence Scholarship is a merit-based award available to incoming international undergraduate students. It recognizes academic achievement, leadership skills, and contributions to the community. The scholarship amount varies and is renewable for up to four years.

2. INTO Mason Scholarships: INTO Mason, a partnership program that helps international students transition to university life in the United States, offers scholarships to students who enroll in Pathway programs. These scholarships can help cover tuition costs and are awarded based on academic merit.

3. College and Departmental Scholarships: Many of George Mason University's colleges and academic departments offer scholarships to international students who excel in specific fields of study. These scholarships may require students to meet certain academic criteria and demonstrate a strong commitment to their chosen area of study.

4. Graduate Assistantships: International graduate students at George Mason University have the opportunity to apply for graduate assistantships, which provide funding for tuition and stipends for work as research or teaching assistants. These assistantships offer valuable hands-on experience while helping to offset educational costs.

5. International Baccalaureate Scholarships: International students who have completed the International Baccalaureate (IB) program may be eligible for scholarships based on their IB scores and academic achievements. These scholarships are available to both undergraduate and graduate students.

6. Private Scholarships: George Mason University encourages international students to explore private scholarship opportunities from external organizations, foundations, and government agencies. The university's scholarship office can provide guidance and resources to help students find and apply for these scholarships.

7. Fullbright Scholarships: International students seeking advanced degrees may be eligible to apply for the prestigious Fullbright scholarship program, which provides funding for graduate study, research, and cultural exchange opportunities in the United States.

It's important to note that scholarship availability, eligibility criteria, and application deadlines may vary.

The Master of Science (M.S.) in Data Analytics Engineering program at George Mason University is a cutting-edge academic pathway designed to prepare students for impactful careers in the rapidly growing field of data analytics. With a curriculum that emphasizes both technical skills and strategic thinking, graduates of this program are well-equipped to tackle complex data challenges, extract valuable insights, and drive data-informed decision-making across various industries.

1. Data Scientist: Data scientists are responsible for collecting, analyzing, and interpreting complex data to provide actionable insights. They develop models and algorithms to predict trends, solve problems, and support strategic decision-making.

2. Business Analyst: Business analysts bridge the gap between data analytics and business strategy. They use data to identify opportunities for improvement, develop strategies, and optimize operations within an organization.

3. Data Engineer: Data engineers design and implement the infrastructure required to store, process, and analyze large datasets. They create pipelines for data ingestion, transformation, and storage, ensuring data is accessible and usable.

4. Machine Learning Engineer: Machine learning engineers specialize in building and deploying machine learning models. They work on creating algorithms that enable computers to learn from and make predictions or decisions based on data.

5. Big Data Analyst: Big data analysts manage and analyze vast volumes of data generated by organizations. They extract meaningful insights from large datasets and develop strategies for handling and processing data efficiently.

6. Quantitative Analyst: Quantitative analysts, also known as quants, use mathematical and statistical models to analyze financial data. They work in finance and investment firms to support trading strategies, risk assessment, and investment decisions.

7. Market Research Analyst: Market research analysts gather and analyze data on consumer behavior and market trends. They provide insights that inform marketing strategies, product development, and business expansion plans.

8. Healthcare Data Analyst: In the healthcare sector, data analysts work to analyze patient data, medical records, and healthcare trends. Their insights contribute to improving patient care, streamlining operations, and enhancing medical research.

9. Consultant: Data analytics consultants work with various clients to identify data-related challenges and provide solutions. They offer expertise in data analysis, visualization, and strategy development.

10. Government Data Analyst: Government agencies and organizations utilize data analysts to interpret data related to policy decisions, public services, and administrative processes.

11. Academic Researcher: Graduates can pursue research roles in academia, contributing to advancements in data analytics theory, techniques, and applications.