M.S. in Data Science, Pathway - 1 Semester

Entry requirements for Postgraduate programs

1. Academic Qualifications: Prospective postgraduate students applying to American University are expected to demonstrate strong academic qualifications in their previous studies. While specific requirements may vary depending on the program, applicants typically need to hold a bachelor's degree or its equivalent from an accredited institution. The academic qualifications requirement generally falls within the range of 83% to 86%, depending on the program and the competitiveness of the applicant pool.

2. English Language Proficiency:  

   • IELTS (International English Language Testing System): A minimum overall band score of 6.5 is required with no band less than 6.
   • TOEFL (Test of English as a Foreign Language): The minimum TOEFL iBT (internet-based test) score 80 with no band less than 17 is required.
   • PTE (Pearson Test of English): The minimum PTE Academic score required is 55 with no band less than 50.
   • DET (Duolingo English Test): The minimum DET score of 115 is required with no sub-score below 105.

American University (AU) in Washington D.C., USA, is committed to promoting diversity, equity, and inclusion by providing financial assistance to international students through various scholarship programs. These scholarships are designed to attract top talent from around the world and make an American University education more accessible to students from diverse backgrounds.  

Global Leader Scholarship: The Global Leader Scholarship at American University is a merit-based award offered to international students who demonstrate exceptional academic achievement, leadership potential, and a commitment to making a positive impact in their communities. This prestigious scholarship covers full tuition, room, and board for the duration of the student's undergraduate studies at AU.

International Peace Scholarship: The International Peace Scholarship is awarded to international students who have a strong academic record and a demonstrated commitment to promoting peace, justice, and social change. This scholarship provides partial tuition support to eligible students enrolled in undergraduate programs at American University.

AU Emerging Global Leader Scholarship: The AU Emerging Global Leader Scholarship is awarded to outstanding international students who have overcome significant obstacles and challenges to pursue their education and demonstrate leadership potential and a commitment to serving their communities. This scholarship covers full tuition, room, and board for the duration of the student's undergraduate studies at AU.

AU International Merit Scholarship: The AU International Merit Scholarship is awarded to international students with exceptional academic achievements and strong leadership qualities. This merit-based scholarship provides partial tuition support to eligible undergraduate students enrolled at American University.

AU Dean's Scholarship for International Students: The AU Dean's Scholarship for International Students is awarded to academically talented international students who demonstrate financial need and have a strong commitment to academic excellence. This scholarship provides partial tuition support to eligible undergraduate students at AU.

AU Transfer Merit Scholarship for International Students: The AU Transfer Merit Scholarship for International Students is awarded to outstanding transfer students from international institutions who demonstrate exceptional academic achievements and leadership potential. This merit-based scholarship provides partial tuition support to eligible undergraduate transfer students at American University.

AU Presidential Scholarship for International Students: The AU Presidential Scholarship for International Students is awarded to top-performing international students who have demonstrated outstanding academic achievements, leadership abilities, and a commitment to service. This prestigious scholarship covers full tuition for eligible undergraduate students at AU.

These scholarships for international students at American University reflect the university's commitment to academic excellence, diversity, and global engagement. By providing financial assistance and support to talented and deserving students from around the world, American University seeks to foster a diverse and inclusive campus community and prepare students to become global leaders and change-makers in their respective fields. International students interested in applying for scholarships at American University should review the eligibility criteria and application requirements on the university's official website and contact the Office of Admissions for further assistance.

Graduates of the Master of Science (M.S.) in Data Science program at American University Washington D.C. have promising career prospects in a variety of industries and sectors. The demand for data science professionals continues to grow as organizations increasingly rely on data-driven insights to gain a competitive advantage and achieve their strategic objectives. Graduates of the M.S. in Data Science program at American University Washington D.C. are well-positioned to pursue rewarding and impactful careers in this dynamic and rapidly evolving field.

1. Data Scientist/Data Analyst: Data scientists and data analysts are in high demand across industries such as technology, finance, healthcare, marketing, and government. They are responsible for collecting, cleaning, analyzing, and interpreting large datasets to uncover insights and support data-driven decision-making processes.

2. Machine Learning Engineer: Machine learning engineers design, develop, and implement machine learning algorithms and models to solve complex problems and automate tasks. They work closely with data scientists and software engineers to deploy machine learning solutions in production environments.

3. Business Intelligence Analyst: Business intelligence analysts leverage data analytics tools and techniques to analyze business data, identify trends, and provide insights that help organizations improve their operational efficiency, optimize performance, and make strategic decisions.

4. Big Data Engineer: Big data engineers design and maintain large-scale data infrastructure and systems that process and store massive volumes of data. They work with technologies such as Hadoop, Spark, and NoSQL databases to build data pipelines and support analytics initiatives.

5. Data Architect: Data architects design and manage the overall structure and architecture of databases and data systems within organizations. They ensure that data is organized, integrated, and accessible for analysis and reporting purposes, while also maintaining data security and compliance.

6. Quantitative Analyst (Quant): Quantitative analysts, also known as quants, apply mathematical and statistical models to analyze financial markets, develop trading strategies, and manage investment portfolios. They work in hedge funds, investment banks, asset management firms, and other financial institutions.

7. Research Scientist: Research scientists conduct applied and theoretical research in fields such as healthcare, social sciences, environmental science, and engineering. They use data science techniques to analyze research data, develop models, and generate insights that contribute to scientific knowledge and innovation.

8. Consultant: Data science consultants work for consulting firms or as independent contractors, providing data analytics and strategic advisory services to clients across various industries. They help organizations solve complex business problems, optimize processes, and implement data-driven solutions.

9. Artificial Intelligence (AI) Specialist: AI specialists focus on developing artificial intelligence and machine learning solutions for specific applications such as natural language processing, computer vision, robotics, and autonomous systems. They work on cutting-edge AI projects in research institutions, technology companies, and startups.

10. Academic/Researcher: Some M.S. in Data Science graduates pursue careers in academia or research institutions, where they conduct research, teach courses, and mentor students in data science-related fields.