B.S. in Data Analytics

Undergraduate Entry Requirements

Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 70% or above in their previous academic qualifications.

English Language Proficiency:

• IELTS: Overall band score of 6.0 with a minimum of 5.5 in each component.
• TOEFL: Overall score of 75 or higher.
• PTE: Overall score of 50 or higher.
• DET (Duolingo English Test): Overall score of 100.

The university offers various scholarships and financial aid options to help ease the financial burden of tuition and make education more accessible. 

International Achievement Scholarship: This scholarship is awarded to outstanding international undergraduate students who demonstrate strong academic achievements. The scholarship amount varies and is typically based on academic merit. Eligibility criteria may include GPA requirements and standardized test scores.

International Transfer Student Scholarship: Designed for international students transferring to LIU Post from another institution, this scholarship recognizes academic achievement at the college level. The scholarship amount may vary based on transfer credits and academic performance.

Global Opportunities Scholarship: LIU Post offers the Global Opportunities Scholarship to international students who have shown a global engagement and cultural diversity. This scholarship may support activities such as study abroad programs or international internships.

Athletic Scholarships: Talented international student-athletes may be eligible for athletic scholarships based on their performance in specific sports. These scholarships can help cover tuition and related expenses.

Private Scholarships: LIU Post encourages international students to explore private scholarship opportunities available from external organizations, foundations, and government programs. These scholarships may have varying eligibility criteria and application deadlines.

Work-Study Programs: International students studying in the United States on certain visa types may be eligible for work-study programs, allowing them to work on campus to help cover educational expenses.

Graduates of the Bachelor of Science in Data Analytics (B.S. in Data Analytics) program at Long Island University Post are prepared for a wide range of career opportunities in various sectors. The program’s focus on data interpretation, statistical analysis, and data-driven decision-making equips students with the skills needed to excel in the rapidly growing field of data analytics. 

Data Analyst: Data Analysts interpret complex data sets to help organizations make informed decisions. They use statistical tools and data visualization techniques to identify trends, generate reports, and provide actionable insights. Data Analysts are employed across industries such as finance, healthcare, and technology.

Business Intelligence (BI) Analyst: BI Analysts focus on analyzing business data to support strategic decision-making. They develop reports and dashboards, conduct trend analyses, and provide recommendations based on data findings. This role is crucial in helping companies optimize operations and enhance performance.

Data Scientist: Data Scientists go beyond traditional data analysis to build predictive models and advanced analytics solutions. They leverage machine learning algorithms, statistical techniques, and programming skills to solve complex problems and forecast future trends. Data Scientists work in sectors such as tech, finance, and healthcare.

Data Engineer: Data Engineers design and maintain the infrastructure required for data generation and analysis. They build and optimize data pipelines, manage large-scale data systems, and ensure data quality and accessibility. This role involves working with big data technologies and database management systems.

Quantitative Analyst: Quantitative Analysts, or “Quants,” use mathematical and statistical models to analyze financial markets and manage risk. They develop algorithms and models to predict market trends, assess investment opportunities, and support trading strategies. Quants are typically employed in investment banks, hedge funds, and financial firms.

Market Research Analyst: Market Research Analysts study market conditions and consumer behavior to help companies understand their target audience and make strategic decisions. They analyze market data, conduct surveys, and produce reports on market trends and consumer preferences.

Operations Analyst: Operations Analysts use data to improve organizational processes and operational efficiency. They analyze workflows, identify inefficiencies, and recommend solutions to optimize business operations. This role is important in various sectors, including manufacturing, logistics, and service industries.

Customer Insights Analyst: Customer Insights Analysts focus on understanding customer behavior and preferences through data analysis. They analyze customer data to identify trends, segment markets, and develop strategies to enhance customer experience and loyalty.

Healthcare Data Analyst: Healthcare Data Analysts specialize in analyzing data related to healthcare services and patient outcomes. They work on improving healthcare delivery, assessing treatment effectiveness, and supporting healthcare policy decisions through data insights.

Data Consultant: Data Consultants provide expert advice on data management, analysis, and strategy. They work with organizations to develop data solutions, implement analytics tools, and optimize data-driven strategies. This role often involves working on a project basis with various clients.