MBA Master of Business Administration
Lehigh University's MBA program offers a comprehensive business education that equi...
M.S. in Data Science
Bethlehem, Pennsylvania
INTAKE: July
Program Overview
Lehigh University’s Master of Science (M.S.) in Data Science program is designed to equip students with advanced analytical and computational skills necessary to thrive in the data-driven world. The program emphasizes a comprehensive understanding of data analysis, statistical methods, and machine learning. It prepares graduates to tackle complex data challenges across various industries by blending rigorous coursework with practical experience.
Curriculum: The curriculum of the M.S. in Data Science at Lehigh University provides a robust foundation in data science principles and practices. Core courses typically include Data Mining, Machine Learning, Statistical Methods, and Big Data Analytics. Students also have the option to choose electives that align with their interests, such as Advanced Data Visualization, Text Analytics, and Data Engineering. The program culminates in a capstone project or thesis, allowing students to apply their knowledge to real-world data problems and showcase their analytical skills.
Research Focus: The M.S. in Data Science program places a strong emphasis on research and innovation. Students have opportunities to engage in cutting-edge research projects in areas such as predictive modeling, data-driven decision making, and algorithm development. Collaboration with faculty members on research initiatives helps students gain insights into emerging trends and technologies in data science, contributing to advancements in the field.
Industry Engagement: Industry engagement is a key component of Lehigh University’s M.S. in Data Science program. The program fosters connections with industry leaders through internships, co-op programs, and industry-sponsored projects. These engagements provide students with hands-on experience, enabling them to work on real-world data challenges and build professional networks. Guest lectures and industry seminars further enhance students’ understanding of current industry practices and trends.
Global Perspective: Lehigh University’s M.S. in Data Science program incorporates a global perspective by addressing international data science trends and challenges. Students are exposed to global case studies, best practices, and emerging technologies from around the world. Opportunities for international research collaborations, conferences, and exchange programs help students understand how data science principles are applied globally and prepare them for careers in an interconnected world.
Location
Bethlehem, Pennsylvania
Score
IELTS 6.5
Tuition Fee
USD 23850
Postgraduate Entry Requirements
Application Fee: $50
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 6.5 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 79 or higher.
- DET (Duolingo English Test): Overall score of 125.
Standardized Test Requirements:
- GRE Requirement: GRE Score of 300 is required.
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 Data Science program have access to a diverse range of career opportunities in various sectors. The program’s strong emphasis on analytical skills, data management, and machine learning prepares students for impactful roles in the data science field.
Data Scientist: Data scientists analyze complex datasets to extract meaningful insights and support strategic decision-making. They apply statistical methods, machine learning algorithms, and data visualization techniques to interpret data and solve business problems.
Data Analyst: Data analysts focus on collecting, processing, and performing statistical analyses on data. They create reports and dashboards to help organizations understand trends and make data-driven decisions, often working in industries like finance, healthcare, and marketing.
Machine Learning Engineer: Machine learning engineers design and develop algorithms that enable systems to learn from and make predictions based on data. They work on creating intelligent applications and systems in areas such as artificial intelligence, natural language processing, and automation.
Big Data Engineer: Big data engineers build and maintain the infrastructure required to process and analyze large volumes of data. They work with technologies like Hadoop, Spark, and distributed databases to ensure efficient data storage and retrieval.
Business Intelligence (BI) Analyst: BI analysts use data to help organizations understand their performance and identify opportunities for growth. They design and implement BI solutions, including data warehouses, reporting tools, and analytical dashboards.
Quantitative Analyst: Quantitative analysts, often known as “quants,” apply mathematical and statistical models to financial data to inform investment strategies and risk management. They work in financial institutions, investment firms, and hedge funds.
Data Engineer: Data engineers focus on designing and building systems for collecting, storing, and analyzing data. They work on data pipelines, database management, and ensuring data quality and integrity across an organization.
Operations Research Analyst: Operations research analysts use data and mathematical models to help organizations optimize their operations and decision-making processes. They work on problems related to logistics, supply chain management, and resource allocation.
Data Consultant: Data consultants provide expert advice on data management and analytics strategies. They help organizations implement data solutions, improve data practices, and leverage data to drive business outcomes.
Product Manager for Data Products: Product managers in data-driven companies oversee the development and management of data products and services. They work on defining product features, setting development priorities, and ensuring alignment with market needs.
Research Scientist in Data Science: Research scientists in data science focus on advancing the field through innovative research and development. They work on novel algorithms, data methodologies, and applications, often in academic or research institutions.
Healthcare Data Analyst: Healthcare data analysts work within the healthcare industry to analyze patient data, improve care quality, and support clinical decision-making. They use data to identify trends and optimize healthcare delivery.
