M.S. in Computer Science
The Master of Science (M.S.) in Computer Science program at Long Island University Broo...
B.S. in Data Analytics
Brooklyn
INTAKE: Jan & Sept
Program Overview
The Bachelor of Science (B.S.) in Data Analytics at Long Island University - Brooklyn provides students with a robust education in the field of data analysis. This program is designed to equip students with the skills needed to analyze complex data sets and derive actionable insights for various industries. By combining principles of statistics, computer science, and business intelligence, the program prepares graduates to excel in the growing field of data analytics.
STEM-Designated: The B.S. in Data Analytics is classified as a STEM (Science, Technology, Engineering, and Mathematics) program. This designation highlights the program's focus on quantitative and technical skills essential for careers in data science and analytics. It also allows international students to benefit from the STEM OPT extension, providing them with additional time to gain practical work experience in the United States after graduation.
Curriculum: The curriculum for the B.S. in Data Analytics is designed to offer a comprehensive education in data analysis techniques and tools. Core courses include Introduction to Data Analytics, Statistical Methods, Data Visualization, Data Mining, and Predictive Analytics. Students also study Programming for Data Analytics, Database Management, and Data Warehousing. The program emphasizes practical experience through hands-on projects, internships, and collaborative work, enabling students to apply their learning to real-world scenarios.
Research Focus: Research in the B.S. in Data Analytics program typically focuses on emerging trends and methodologies in data analysis. Key areas of research include machine learning, big data analytics, data visualization techniques, and the application of analytics in various industries such as finance, healthcare, and marketing. Students and faculty engage in projects that explore innovative data solutions and address current challenges in the field.
Industry Engagement: Industry engagement is a significant component of the B.S. in Data Analytics program. The program fosters connections with industry leaders and organizations through internships, guest lectures, and industry-sponsored projects. These opportunities provide students with practical insights into data analytics practices, enhance their professional networks, and prepare them for successful careers in the field. The program also includes workshops and seminars that cover current trends and advancements in data analytics.
Global Perspective: The B.S. in Data Analytics program incorporates a global perspective by exploring international data analytics practices and trends. Coursework includes topics on global data management and analytics strategies. Students may also have opportunities to participate in international research projects or study abroad programs, gaining exposure to global data challenges and solutions. This global approach ensures that graduates are prepared to work in diverse environments and tackle international data issues.
Location
Brooklyn
Score
IELTS 6
Tuition Fee
USD 42475
Undergraduate Entry Requirements
Academic Qualifications: Applicants for undergraduate programs typically require a minimum academic achievement of 65% 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.
Scholarships for International Students at Long Island University Brooklyn.
International Student Scholarships: LIU Brooklyn offers various merit-based scholarships for international students, which can significantly reduce the cost of tuition. These scholarships are typically awarded based on academic achievement, such as high school or previous college performance.
Global Achievers Scholarship: LIU Brooklyn offers the Global Achievers Scholarship, which is specifically designed for high-achieving international students. The scholarship amount varies and is renewable each year, provided the student maintains the required GPA.
Dean's Scholarship: The Dean's Scholarship is available for both undergraduate and graduate international students who have demonstrated exceptional academic excellence. This scholarship can cover a substantial portion of tuition costs.
Presidential Scholarship: This prestigious scholarship is awarded to international students with outstanding academic records. It covers a significant portion of tuition costs and may also include additional benefits like housing and meal plan allowances.
Athletic Scholarships: LIU Brooklyn offers athletic scholarships to international students who excel in sports and wish to participate in collegiate athletics. These scholarships can provide financial support in addition to the opportunity to compete in NCAA Division I athletics.
External Scholarships: International students can also explore external scholarship opportunities provided by private organizations, government agencies, and foundations. LIU Brooklyn's international student office can provide guidance on finding and applying for these scholarships.
It's important to note that scholarship availability and eligibility criteria may change from year to year.
Graduates of the Bachelor of Science (B.S.) in Data Analytics from Long Island University - Brooklyn are well-equipped to enter a variety of career paths within the data analytics and data science fields. The program provides students with the skills and knowledge necessary for roles that involve analyzing complex data and deriving actionable insights.
Data Analyst: Graduates can work as data analysts, where they collect, process, and perform statistical analyses on large datasets to identify trends and patterns. They help organizations make data-driven decisions by translating complex data into understandable insights.
Business Intelligence (BI) Analyst: In this role, graduates analyze business data and generate reports to support strategic decision-making. They use BI tools to create dashboards and visualizations that help businesses understand their performance and identify opportunities for improvement.
Data Scientist: Graduates can pursue careers as data scientists, utilizing advanced statistical methods and machine learning algorithms to solve complex problems and predict future trends. Data scientists work on creating models that can forecast outcomes and optimize business processes.
Data Engineer: As data engineers, graduates design and build data pipelines and architecture to support data analysis and reporting. They work on integrating data from various sources, ensuring data quality, and optimizing database performance.
Quantitative Analyst: In finance and investment sectors, graduates can work as quantitative analysts, applying mathematical and statistical techniques to analyze financial data and develop trading strategies. They work with large datasets to model financial markets and assess risk.
Data Visualization Specialist: Graduates can specialize in data visualization, focusing on creating visual representations of data to help stakeholders understand complex information. They use tools and techniques to design clear and effective charts, graphs, and dashboards.
Marketing Analyst: In this role, graduates analyze marketing data to evaluate campaign performance, customer behavior, and market trends. They help businesses refine their marketing strategies by providing insights based on data analysis.
Operations Analyst: Graduates can work as operations analysts, using data to improve organizational efficiency and streamline processes. They analyze operational data to identify bottlenecks, optimize workflows, and enhance overall productivity.
Customer Insights Analyst: This role involves analyzing customer data to understand behavior patterns, preferences, and trends. Graduates provide insights that help companies improve customer satisfaction and tailor their products or services to better meet customer needs.
