M.S. in Accounting, Pathway - 1 Semester
The Master of Science (M.S.) in Accounting program at American University is designed t...
M.S. in Data Science, Pathway - 2 Semesters
Washington, D.C.
INTAKE: Jan & Aug
Program Overview
The Master of Science (M.S.) in Data Science program at American University is designed to equip students with the knowledge, skills, and practical experience needed to excel in the rapidly growing field of data science. With a focus on both theoretical foundations and real-world applications, the program prepares students for diverse career opportunities in industries such as technology, finance, healthcare, marketing, and government.The M.S. in Data Science program at American University offers a rigorous and comprehensive education in data science, preparing students for success in the fast-paced and dynamic field of data science and analytics. With its STEM designation, hands-on learning experiences, interdisciplinary curriculum, and strong industry connections, the program equips students with the skills and knowledge needed to thrive in today's data-driven world.
Curriculum:
1. Comprehensive Curriculum: The curriculum of the M.S. in Data Science program covers a wide range of topics, including statistics, machine learning, data mining, data visualization, big data analytics, and programming languages such as Python and R. Students learn how to collect, clean, analyze, and interpret large datasets to extract actionable insights and support data-driven decision-making processes.
2. Hands-On Experience: The program emphasizes hands-on learning experiences, with opportunities for students to work on real-world projects, case studies, and research initiatives. Through internships, practicums, and capstone projects, students gain practical experience applying data science techniques and tools to solve complex problems faced by organizations.
3. Industry-Relevant Skills: Graduates of the program develop a strong foundation in statistical analysis, machine learning algorithms, data visualization techniques, and programming languages commonly used in the field of data science. They also acquire skills in data management, data preprocessing, feature engineering, model evaluation, and deployment of machine learning models.
4. Interdisciplinary Approach: The M.S. in Data Science program adopts an interdisciplinary approach, drawing insights from fields such as computer science, mathematics, statistics, and domain-specific domains. Students collaborate with faculty and peers from diverse backgrounds, gaining a holistic understanding of data science applications across different industries.
5. STEM Designation: The program is STEM designated, reflecting its focus on science, technology, engineering, and mathematics disciplines. This designation allows international students to extend their Optional Practical Training (OPT) period, providing them with additional time to gain hands-on work experience in the United States after graduation.
6. Flexible Pathways: The program offers flexible pathways, allowing students to customize their course of study based on their interests, career goals, and prior experience. Elective courses cover specialized topics such as deep learning, natural language processing, business analytics, and bioinformatics, enabling students to tailor their education to suit their individual needs.
7. Expert Faculty: The M.S. in Data Science program is taught by experienced faculty members who are experts in the field of data science and related disciplines. Faculty members engage in cutting-edge research, publish scholarly articles, and collaborate with industry partners, ensuring that students receive a rigorous and up-to-date education.
8. Networking Opportunities: American University provides students with ample networking opportunities, including guest lectures, workshops, seminars, and industry events. Students have the chance to interact with professionals from leading companies, government agencies, and nonprofit organizations, expanding their professional network and gaining insights into current trends and best practices in data science.
9. Career Development Support: The program offers comprehensive career development support services, including resume workshops, mock interviews, job fairs, and networking events. The university's career services office provides personalized guidance and resources to help students explore career options, secure internships, and land full-time employment opportunities upon graduation.
10. Alumni Success: Graduates of the M.S. in Data Science program have gone on to pursue rewarding careers in a variety of industries and sectors. Alumni hold positions such as data scientist, machine learning engineer, business intelligence analyst, data engineer, and research scientist at top companies, government agencies, research institutions, and nonprofit organizations.
Location
Washington, D.C.
Score
IELTS: 6
Tuition Fee
USD 30752
Entry requirements for Postgraduate programs
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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.
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English Language Proficiency:
- IELTS (International English Language Testing System): A minimum overall band score of 6 is required with no band less than 5.5.
- TOEFL (Test of English as a Foreign Language): The minimum TOEFL iBT (internet-based test) score 74 with no band less than 20 is required.
- PTE (Pearson Test of English): The minimum PTE Academic score required is 50 with no band less than 46.
- DET (Duolingo English Test): The minimum DET score of 100 is required with no sub-score below 90.
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 in Washington D.C. are well-positioned to pursue diverse and lucrative career opportunities in the rapidly expanding field of data science. With the increasing demand for data-driven decision-making in industries ranging from technology and finance to healthcare and government, M.S. in Data Science graduates are highly sought after for their specialized skills and expertise. The M.S. in Data Science program at American University provides graduates with the skills, knowledge, and practical experience needed to excel in a wide range of careers in data science and related fields. With their expertise in data analysis, machine learning, programming, and domain knowledge, graduates are well-equipped to make meaningful contributions to organizations and drive positive change in society.
1. Data Scientist: Data scientists are responsible for collecting, processing, analyzing, and interpreting large datasets to extract meaningful insights and inform business decisions. They apply advanced statistical techniques, machine learning algorithms, and data visualization methods to solve complex problems and drive innovation across various industries.
2. Machine Learning Engineer: Machine learning engineers design, develop, and implement machine learning models and algorithms to automate processes, improve efficiency, and optimize performance. They work closely with data scientists and software engineers to deploy machine learning solutions for predictive analytics, pattern recognition, and recommendation systems.
3. Business Intelligence Analyst: Business intelligence analysts analyze organizational data to identify trends, patterns, and opportunities for improving business performance and competitiveness. They create data visualizations, dashboards, and reports to communicate insights to key stakeholders and support strategic decision-making processes.
4. Data Engineer: Data engineers design and maintain data infrastructure and systems that enable the storage, processing, and retrieval of large volumes of structured and unstructured data. They develop data pipelines, ETL (extract, transform, load) processes, and data warehouses to ensure data quality, reliability, and accessibility for analytical purposes.
5. Research Scientist: Research scientists conduct original research and develop innovative solutions to address scientific challenges and societal issues. They leverage data science techniques and methodologies to analyze research data, conduct experiments, and generate new knowledge in fields such as healthcare, environmental science, social sciences, and beyond.
6. Data Analyst: Data analysts collect, clean, and analyze data to generate insights and support decision-making in organizations. They use statistical analysis, data mining, and data visualization tools to uncover trends, patterns, and correlations that can inform marketing strategies, operational improvements, and customer engagement initiatives.
7. Data Consultant: Data consultants provide advisory services to organizations seeking to leverage data science and analytics to achieve their business objectives. They assess client needs, develop customized data solutions, and provide strategic recommendations for implementing data-driven strategies, processes, and technologies.
8. Risk Analyst: Risk analysts assess and mitigate risks associated with financial investments, insurance policies, and business operations. They use data analysis techniques to identify potential risks, model risk scenarios, and develop strategies for minimizing financial losses and maximizing returns.
9. Health Informatics Specialist: Health informatics specialists leverage data science and information technology to improve healthcare delivery, patient outcomes, and population health. They analyze electronic health records, medical imaging data, and healthcare administrative data to support clinical decision-making, disease surveillance, and public health initiatives.
10. Entrepreneur/Startup Founder: Graduates with an entrepreneurial spirit may choose to launch their own data-driven startups or consulting firms, offering innovative solutions and services in areas such as predictive analytics, personalized medicine, fintech, e-commerce, and more.
