MBA Master of Business Administration
Lehigh University's MBA program offers a comprehensive business education that equi...
M.S. in Business Analytics
Bethlehem, Pennsylvania
INTAKE: Jan, May & Aug
Program Overview
Lehigh University's Master of Science (M.S.) in Business Analytics is a cutting-edge program designed to equip students with the skills needed to harness data for strategic decision-making in business. The program focuses on integrating advanced analytical techniques with business acumen to solve complex business problems. It aims to prepare students for careers in data analysis, business intelligence, and decision support systems, making them valuable assets in today’s data-driven business environment.
STEM-Designated: The M.S. in Business Analytics at Lehigh University is designated as a STEM (Science, Technology, Engineering, and Mathematics) program. This designation highlights the program's strong emphasis on quantitative analysis, data science, and statistical methods. For international students, the STEM designation offers the advantage of an extended Optional Practical Training (OPT) period, allowing them to gain additional work experience in the U.S. and apply their analytical skills in real-world settings.
AACSB Accredited: The program is part of Lehigh University's College of Business, which holds accreditation from the Association to Advance Collegiate Schools of Business (AACSB). AACSB accreditation signifies that the program meets rigorous standards of excellence in business education. This accreditation ensures that students receive a high-quality education that is recognized globally and prepares them for leadership roles in business analytics.
Curriculum: The curriculum for the M.S. in Business Analytics is designed to provide a comprehensive understanding of data analysis, statistical methods, and business strategy. Core courses include Data Management, Predictive Analytics, Business Intelligence, and Advanced Statistical Methods. Students also have the opportunity to choose electives in areas such as Machine Learning, Data Visualization, and Optimization. The program typically culminates in a capstone project where students apply their skills to real-world business problems, integrating theoretical knowledge with practical experience.
Research Focus: The research focus of the M.S. in Business Analytics at Lehigh University centers on the application of data analytics to business challenges. Students and faculty engage in research that explores innovative methods for data-driven decision-making, including predictive modeling, data mining, and optimization techniques. Research projects often address current issues in various industries, such as finance, healthcare, and supply chain management, contributing to the advancement of knowledge in business analytics.
Industry Engagement: Lehigh University's M.S. in Business Analytics program emphasizes strong industry engagement through partnerships with leading companies and organizations. Students benefit from internships, guest lectures, and networking opportunities with industry professionals. These experiences provide valuable insights into industry trends, challenges, and best practices, enhancing students' readiness for careers in business analytics and related fields.
Global Perspective: The program incorporates a global perspective by addressing international business challenges and data analytics practices. Coursework and projects often involve case studies and research that focus on global markets, cross-border data issues, and international business strategies. This global perspective prepares students to work in diverse environments and understand the complexities of global business analytics.
Location
Bethlehem, Pennsylvania
Score
IELTS 7
Tuition Fee
USD 36100
Postgraduate Entry Requirements
Application Fee: $65
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 80% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 7.0 with a minimum of 7.0 in each component.
- TOEFL: Overall score of 94 or higher.
- DET (Duolingo English Test): Overall score of 125.
Lehigh University provides various scholarship opportunities to support international students in their academic journey. These scholarships are designed to alleviate financial burdens and recognize exceptional academic achievements.
Merit-Based Scholarships: Lehigh offers merit-based scholarships that are awarded based on academic performance, leadership qualities, and other achievements. These scholarships are highly competitive and are automatically considered during the admissions process.
Need-Based Financial Aid: Although primarily need-based financial aid is available, Lehigh University assesses each student’s financial situation to determine eligibility for aid. International students must submit financial documentation to be considered for need-based assistance.
External Scholarships: International students are also encouraged to apply for external scholarships from organizations and foundations outside the university. Lehigh’s Office of International Students and Scholars (OISS) provides guidance and resources to help students find and apply for these opportunities.
Specialized Programs: Certain programs and departments at Lehigh offer their own scholarships for international students. These can be based on academic performance in specific fields or contributions to the university community.
Graduates of Lehigh University's Master of Science (M.S.) in Business Analytics are well-prepared to enter a diverse range of roles that leverage their expertise in data analysis, statistical methods, and business strategy. The program's strong focus on practical applications and industry-relevant skills opens up numerous career paths in various sectors.
Data Scientist: Data scientists analyze complex datasets to extract valuable insights and support data-driven decision-making. They use advanced statistical techniques, machine learning algorithms, and programming skills to identify trends, build predictive models, and solve business problems.
Business Intelligence Analyst: Business intelligence analysts focus on interpreting data to help organizations make strategic decisions. They create dashboards, reports, and visualizations that provide actionable insights, and use data analysis tools to monitor key performance indicators and business metrics.
Quantitative Analyst: Quantitative analysts, or "Quants," use mathematical models and statistical techniques to analyze financial and economic data. They develop algorithms and models to support trading strategies, risk management, and investment decisions in financial institutions.
Data Analyst: Data analysts gather, process, and perform statistical analyses on data to provide insights and recommendations. They work across various industries to support business operations, marketing strategies, and customer insights through data-driven analysis.
Marketing Analyst: Marketing analysts use data to evaluate marketing campaigns, customer behavior, and market trends. They help companies optimize their marketing strategies by analyzing data from various sources, including social media, customer surveys, and sales data.
Operations Analyst: Operations analysts focus on improving the efficiency and effectiveness of business operations. They analyze operational data to identify process improvements, optimize resource allocation, and enhance overall business performance.
Financial Analyst: Financial analysts use data to assess investment opportunities, conduct financial forecasting, and evaluate financial performance. They apply quantitative methods to analyze market trends, financial statements, and investment risks.
Risk Analyst: Risk analysts assess potential risks and develop strategies to mitigate them. They use statistical models and data analysis to identify and manage financial, operational, and strategic risks within organizations.
Supply Chain Analyst: Supply chain analysts use data to optimize supply chain operations, including inventory management, logistics, and procurement. They analyze supply chain data to improve efficiency, reduce costs, and enhance overall performance.
Consultant: Consultants with a background in business analytics provide strategic advice to organizations on data-driven decision-making. They help businesses leverage analytics to solve complex problems, improve operations, and drive growth.
