M.S. in Data Analytics

Postgraduate Entry Requirements:

Application Fee: US $ 50.

1. Academic Qualifications:

   • Postgraduate applicants must hold a minimum academic qualification of 80% in their previous studies, in a relevant bachelor's degree. This requirement ensures that students have a strong academic background in their chosen field of study.
      

2. English Language Proficiency:  

   • IELTS(International English Language Testing System): Minimum score of 6.5 is required.
   • TOEFL(Test of English as a Foreign Language):A minimum TOEFL score required is 80.
      

3. Standardized Test Requirements:  

   • GRE (The Graduate Record Examination): A minimum GRE score of 297 is required.
      
4. WES evaluation required.

SUNY Old Westbury recognizes the importance of fostering a diverse and inclusive academic community, and as such, it offers various scholarship opportunities to support international students in pursuing their higher education.  

International Student Scholarships: SUNY Old Westbury provides dedicated scholarships for international students based on academic merit, leadership potential, and extracurricular achievements. These scholarships aim to recognize and reward outstanding students who contribute to the cultural diversity of the campus.

Global Leadership Scholarship: This scholarship is designed to support international students who have demonstrated exceptional leadership skills, both in their academic pursuits and community involvement. Recipients of the Global Leadership Scholarship are expected to contribute positively to the university's multicultural environment.

Cultural Diversity Scholarship: SUNY Old Westbury values cultural diversity and encourages international students to share their unique perspectives. The Cultural Diversity Scholarship is awarded to individuals who actively contribute to promoting cross-cultural understanding and engagement on campus.

Academic Excellence Awards: High-achieving international students with outstanding academic records may be eligible for Academic Excellence Awards. These awards are merit-based and aim to recognize and support students who demonstrate exceptional scholarly achievements.

Community Engagement Scholarship: SUNY Old Westbury places emphasis on community service and social responsibility. The Community Engagement Scholarship is awarded to international students who have actively participated in community service activities, demonstrating a commitment to making a positive impact beyond the campus.

Graduate Assistantships: For international students pursuing graduate programs, the university offers graduate assistantship opportunities. These positions provide financial support and valuable professional experience, typically within academic departments or administrative offices.

Research Grants: International students engaged in research activities may have access to research grants and funding opportunities. These grants support research initiatives across various disciplines and contribute to the university's academic research endeavors.

Departmental Scholarships: Some academic departments at SUNY Old Westbury offer specific scholarships for international students within their field of study. These departmental scholarships may have varying eligibility criteria and application processes.

The Master of Science in Data Analytics program at the State University of New York at Old Westbury (SUNY Old Westbury) opens up a multitude of promising career prospects in the burgeoning field of data analytics. Graduates of this program are well-prepared to meet the increasing demand for skilled professionals who can turn raw data into actionable insights, contributing to informed decision-making across various industries. SUNY Old Westbury's M.S. in Data Analytics program not only provides a solid foundation for success in the field but also opens doors to diverse and impactful career opportunities. Whether in data science, business intelligence, machine learning, or specialized roles in various industries, graduates are well-positioned to make significant contributions in the rapidly evolving landscape of data analytics.

1. Data Scientist: Graduates can pursue roles as data scientists, leveraging their expertise in statistical analysis, machine learning, and data modeling. Data scientists are responsible for extracting meaningful insights from complex datasets, developing algorithms, and contributing to strategic decision-making within organizations.

2. Business Intelligence Analyst: The program equips graduates to become business intelligence analysts, focusing on translating data into actionable business strategies. Business intelligence analysts create visualizations, reports, and dashboards to facilitate data-driven decision-making and help organizations gain a competitive edge in their industries.

3. Data Engineer: Graduates may explore careers as data engineers, specializing in designing and constructing systems for data generation, processing, and storage. Data engineers play a crucial role in building the infrastructure necessary for efficient data analysis and ensuring data quality and integrity.

4. Machine Learning Engineer: With a focus on machine learning, graduates can pursue roles as machine learning engineers. These professionals design and implement machine learning algorithms, develop models, and contribute to the creation of intelligent systems and applications in areas such as recommendation systems, natural language processing, and image recognition.

5. Data Analyst: Graduates can embark on careers as data analysts, where they analyze and interpret data to provide valuable insights for decision-making. Data analysts work with diverse datasets, perform statistical analyses, and communicate findings to stakeholders, contributing to strategic planning within organizations.

6. Database Administrator: The program prepares graduates for roles as database administrators, responsible for managing and optimizing databases that store and organize large volumes of data. Database administrators ensure data security, integrity, and availability, playing a critical role in the efficient functioning of information systems.

7. Quantitative Analyst: Graduates may choose to become quantitative analysts, particularly in finance or investment firms. Quantitative analysts use statistical models and data analysis techniques to inform investment decisions, risk assessment, and the development of financial strategies.

8. Healthcare Data Analyst: With the increasing use of data in the healthcare industry, graduates can pursue roles as healthcare data analysts. These professionals analyze healthcare data to improve patient outcomes, optimize operational efficiency, and contribute to evidence-based decision-making in healthcare organizations.

9. Cybersecurity Analyst: Graduates with a focus on data security and privacy may explore careers as cybersecurity analysts. These professionals work to protect organizations from data breaches, cyber threats, and ensure compliance with data protection regulations.

10. Consultant in Data Analytics: Some graduates may choose to work as consultants, providing expertise in data analytics to organizations seeking to enhance their data capabilities. Consultants offer strategic advice, implement analytics solutions, and assist organizations in harnessing the full potential of their data.