M.S. in Data Analytics

Entry requirements for postgraduate students:

Application Fee: US $75

Academic Qualifications:

• Applicants are expected to have a strong academic background, with a minimum requirement of 80% in their previous academic qualifications.

English Language Proficiency:

• IELTS (International English Language Testing System): A minimum overall score of 6.5.
• TOEFL (Test of English as a Foreign Language): A minimum overall score of 80 in the Internet-based Test (iBT).
• PTE (Pearson Test of English): A minimum overall score of 53.
• DET (Duolingo English Test): A minimum score of 120.

SUNY Plattsburgh is committed to fostering a diverse and inclusive academic community, and as part of this commitment, the university offers various scholarship opportunities for international students. These scholarships are designed to recognize academic achievement, leadership qualities, and the potential for making a positive impact. 

International Student Academic Excellence Scholarship: The Academic Excellence Scholarship is awarded to outstanding international students based on their academic achievements. Eligibility criteria often include a strong academic record, standardized test scores, and letters of recommendation. The scholarship aims to support students who have demonstrated exceptional scholarly abilities.

Global Diversity Scholarship: SUNY Plattsburgh values diversity and recognizes the unique perspectives that international students bring to the campus community. The Global Diversity Scholarship is designed to celebrate and support students from different cultural backgrounds. Recipients are often selected based on their contributions to promoting diversity and inclusion.

International Student Leadership Scholarship: This scholarship is geared towards international students who have demonstrated exemplary leadership skills, both in their academic pursuits and extracurricular activities. Leadership roles, community service, and a commitment to making a positive impact are often considered in the selection process.

Community Engagement Scholarship: SUNY Plattsburgh encourages international students to actively engage with the local and campus communities. The Community Engagement Scholarship recognizes students who have demonstrated a commitment to community service and engagement. Applicants may need to provide evidence of their involvement in community initiatives.

Global Scholars Program: The Global Scholars Program is a comprehensive scholarship initiative that may include financial support, mentorship, and specialized programming. This program is designed for high-achieving international students who aspire to make a significant impact in their academic and community endeavors.

Departmental Scholarships: Some academic departments at SUNY Plattsburgh offer specific scholarships for international students within their respective fields. These scholarships may be tied to academic majors, research interests, or career goals.

Graduates of the Master of Science (M.S.) in Data Analytics program at SUNY Plattsburgh are well-prepared to thrive in the dynamic and rapidly expanding field of data analytics. With a robust curriculum and a STEM-designated focus, the program equips students with the skills needed to navigate the complexities of big data and extract valuable insights. The M.S. in Data Analytics program at SUNY Plattsburgh not only prepares graduates for a wide array of exciting careers but also positions them at the forefront of industries where data-driven decision-making is a critical success factor. With the ever-increasing demand for skilled professionals in this field, individuals completing this program can look forward to impactful and fulfilling career journeys.

1. Data Scientist: Graduates can pursue roles as data scientists, leveraging advanced statistical and analytical techniques to interpret complex data sets. They play a crucial role in informing strategic decisions and solving intricate business challenges.

2. Business Intelligence Analyst: With a deep understanding of data visualization and interpretation, graduates can excel as business intelligence analysts, helping organizations make data-driven decisions to enhance operational efficiency and competitiveness.

3. Machine Learning Engineer: The program's emphasis on machine learning equips graduates for roles in designing and implementing machine learning models. They contribute to developing innovative solutions, such as predictive analytics and artificial intelligence applications.

4. Data Engineer: Individuals can pursue careers as data engineers, responsible for constructing the architecture, infrastructure, and tools necessary for large-scale data processing. This role is integral to ensuring data accessibility and reliability.

5. Quantitative Analyst: Graduates can apply their analytical skills in finance as quantitative analysts. They play a crucial role in developing models for risk assessment, portfolio management, and financial forecasting.

6. Healthcare Data Analyst: With the growing importance of data in the healthcare sector, graduates may choose to specialize as healthcare data analysts. They contribute to improving patient outcomes, optimizing healthcare processes, and supporting medical research.

7. Cybersecurity Analyst: In an era of increasing cyber threats, graduates can specialize in cybersecurity analytics. They work to protect organizations by analyzing data patterns to detect and prevent cyber attacks.

8. Research Scientist: Graduates with a passion for research can pursue roles as research scientists in academia, industry, or research institutions. They contribute to cutting-edge advancements in the field of data analytics.

9. Consultant: Individuals may choose consulting roles, working with businesses across industries to provide insights and strategies based on data analysis. This dynamic role allows them to apply their expertise to various challenges presented by clients.

10. Entrepreneurship: Equipped with a solid foundation in data analytics, some graduates may choose to start their own ventures, providing data-driven solutions or analytics consulting services.