M.S. in Data Science

Application Fees : US$ 75

1. Academic Qualifications: Applicants must hold a bachelor's degree or its equivalent from a recognized university or college. For postgraduate programs, a minimum undergraduate GPA of 65% or above is typically required. The GPA requirement may vary based on the specific program and department.

2. English Language Proficiency: 

• IELTS: An overall score of 6.5 or higher with no individual band score less than 6.
• TOEFL (iBT): A minimum total score of 79 or above.
• PTE (Pearson Test of English): A score of 53 or higher.
• DET (Duolingo English Test): A minimum score of 110. 

The University at Albany, SUNY Albany, offers various scholarship opportunities to support international students in their pursuit of higher education. These scholarships are designed to recognize academic excellence, leadership qualities, and contributions to the university community. 

1. International Student Merit Scholarships: SUNY Albany offers merit-based scholarships to academically outstanding international students. These scholarships are typically awarded based on the applicant's academic achievements, standardized test scores, and overall academic potential. The scholarship amount may vary depending on the student's qualifications and the availability of funds.

2. President's International Student Scholarship: The President's International Student Scholarship is a prestigious scholarship awarded to a select number of exceptional international students who have demonstrated exceptional academic achievements, leadership skills, and a commitment to making a positive impact on the university community. This scholarship recognizes the contributions of outstanding international students and provides financial support for their education.

3. Global Citizen Scholarship: The Global Citizen Scholarship is aimed at international students who have demonstrated a strong commitment to promoting global awareness and cultural diversity on campus. Recipients of this scholarship actively participate in intercultural programs, events, and initiatives that foster an inclusive and welcoming environment for all students.

4. Departmental Scholarships: Some academic departments at SUNY Albany may offer department-specific scholarships to international students enrolled in their programs. These scholarships are often merit-based and target students with exceptional academic performance and interest in the respective field of study.

5. External Scholarships: SUNY Albany encourages international students to explore external scholarship opportunities from organizations, foundations, and government agencies in their home countries or other international entities. The university's International Student Services office may provide guidance on identifying and applying for external scholarships.

Application and Eligibility: Eligibility criteria and application procedures for scholarships may vary based on the specific scholarship program. International students interested in applying for scholarships at SUNY Albany should carefully review the scholarship requirements and deadlines. Some scholarships may require a separate application, while others may automatically consider eligible students based on their admissions application.

The Master of Science (M.S.) in Data Science program at the University at Albany, State University of New York (SUNY Albany), offers graduates a multitude of exciting and in-demand career opportunities in the fast-growing field of data science. This program equips students with the technical skills and analytical expertise needed to thrive in a data-driven world, where organizations across various sectors increasingly rely on data insights for strategic decision-making and innovation.

1. Data Scientist: Graduates can pursue careers as data scientists, where they analyze and interpret complex datasets to uncover patterns, trends, and actionable insights for businesses and organizations.

2. Machine Learning Engineer: Graduates with expertise in machine learning can work as machine learning engineers, developing and deploying machine learning algorithms for predictive modeling and automation.

3. Business Analyst: Graduates may become business analysts, where they use data analysis to identify opportunities for efficiency, growth, and improvement within organizations.

4. Data Engineer: Graduates can work as data engineers, responsible for designing, building, and maintaining data pipelines and databases to ensure smooth data flow and accessibility.

5. Quantitative Analyst: Graduates may pursue roles as quantitative analysts, using mathematical and statistical methods to evaluate financial data and inform investment strategies.

6. Data Visualization Specialist: Graduates with skills in data visualization can work as specialists, creating visually appealing and informative representations of data to facilitate decision-making.

7. Big Data Analyst: Graduates with expertise in handling and analyzing large datasets can become big data analysts, supporting organizations in managing and deriving insights from vast amounts of data.

8. Marketing Analyst: Graduates may work as marketing analysts, using data analysis to inform marketing strategies, target audiences, and measure campaign performance.

9. Healthcare Data Analyst: Graduates can pursue careers in healthcare as data analysts, utilizing healthcare data to support medical research, patient care, and health policy decisions.

10. Research Scientist: Graduates may work as research scientists, conducting data-driven research in various fields, including social sciences, natural sciences, and engineering.

11. Artificial Intelligence Specialist: Graduates with expertise in artificial intelligence can work on projects related to AI development and implementation in industries such as robotics, autonomous vehicles, and natural language processing.

12. Supply Chain Analyst: Graduates can work as supply chain analysts, optimizing supply chain processes and inventory management using data-driven strategies.

13. Data Privacy Consultant: Graduates with a focus on data ethics and privacy can work as consultants, advising organizations on data privacy regulations and compliance.

14. Academic and Research Positions: Graduates may pursue academic careers or research positions, contributing to the advancement of data science knowledge and techniques.

Graduates of this program are well-prepared to tackle complex challenges, solve problems, and drive innovation through data analysis, machine learning, and data-driven strategies. With diverse career prospects in business, finance, healthcare, technology, and research, graduates are well-positioned to make a meaningful impact in their chosen fields, contributing to improved business performance, advancements in science and technology, and positive societal outcomes.