M.S. in Data Science

Postgraduate Entry Requirements

Application Fee: $50

Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 70% or above in their bachelor's degree.

English Language Proficiency:

• IELTS: Overall band score of  6.5 with a minimum of 6.0 in each component.
• TOEFL: Overall score of 80 or higher.
• PTE: Overall score of 60 or higher.
• DET (Duolingo English Test): Minimum score of 105.

Monroe College, located in New Rochelle, New York, offers a range of scholarships for international students to support their academic journey.

Monroe College International Student Scholarships: These are merit-based scholarships awarded to outstanding international students based on their academic achievements, leadership skills, and potential for success in their chosen field. The application process typically involves submitting academic transcripts, letters of recommendation, and a personal statement.

President’s Scholarship: This prestigious scholarship is offered to exceptional international students who demonstrate exceptional academic performance and leadership potential. Recipients of the President’s Scholarship receive significant financial support to cover tuition and other educational expenses.

International Student Grants: Monroe College provides need-based grants to international students who require financial assistance to cover their educational costs. These grants are awarded based on the student’s financial need and academic performance.

Merit-Based Awards: International students with outstanding academic records may be eligible for merit-based awards that recognize their achievements and potential. These awards are often renewable for the duration of the student’s program, provided they maintain a high academic standard.

Specialized Scholarships: Monroe College also offers scholarships for specific programs and fields of study. International students pursuing degrees in areas such as business, health, or hospitality management may have access to specialized scholarships tailored to their academic interests.

Graduates of Monroe College’s Master of Science in Data Science (M.S. in Data Science) program are well-prepared to enter a dynamic and rapidly growing field. The program equips students with advanced analytical skills, technical expertise, and practical experience, opening up a range of career opportunities across various industries. 

Data Scientist: Data scientists are responsible for analyzing complex data sets to extract actionable insights and inform decision-making. They use statistical methods, machine learning algorithms, and data visualization techniques to identify trends, patterns, and correlations within data. This role is crucial for organizations seeking to leverage data for strategic advantages.

Data Analyst: Data analysts focus on interpreting and analyzing data to support business operations and strategic planning. They design and implement data collection systems, perform statistical analyses, and create reports to communicate findings to stakeholders. This role involves working with large data sets and providing actionable recommendations based on data analysis.

Machine Learning Engineer: Machine learning engineers develop and deploy machine learning models and algorithms that enable computers to learn from and make predictions based on data. They work on designing, training, and optimizing models for applications such as natural language processing, image recognition, and predictive analytics.

Business Intelligence (BI) Analyst: BI analysts use data to help organizations make informed business decisions. They analyze data trends, create dashboards and reports, and provide insights into business performance. This role requires a strong understanding of data visualization tools and BI software.

Data Engineer: Data engineers are responsible for designing, building, and maintaining data pipelines and databases that support data collection and analysis. They ensure that data infrastructure is scalable, reliable, and efficient, enabling data scientists and analysts to access and utilize data effectively.

Quantitative Analyst: Quantitative analysts, or quants, use mathematical models and statistical techniques to analyze financial markets and manage risk. They develop algorithms for trading strategies, risk assessment, and investment analysis. This role is common in finance, investment banking, and trading firms.

Data Architect: Data architects design and implement data systems and structures that support data management and analysis. They work on creating data models, databases, and data integration solutions, ensuring that data is organized, accessible, and secure.

Statistician: Statisticians apply statistical techniques to collect, analyze, and interpret data. They work in various fields, including healthcare, government, and research, to provide insights and inform decisions based on statistical analysis.

Data Consultant: Data consultants provide expert advice to organizations on how to use data effectively to achieve their goals. They help businesses develop data strategies, implement data solutions, and optimize data processes to drive performance and efficiency.

Data Science Researcher: Data science researchers conduct studies to advance the field of data science. They explore new methods, algorithms, and technologies, contributing to academic research and practical applications in data science.