M.S. in Data Science

1 Years On Campus Masters Program

Lehigh University

Program Overview

Lehigh University's Master of Science in Data Science (M.S.) is an interdisciplinary graduate program designed to prepare students to transform complex data into meaningful insights and practical solutions. Offered through the P.C. Rossin College of Engineering and Applied Science, the 30-credit program combines mathematics, programming, computing, statistical analysis, and ethical data practices, making it suitable for students interested in data science careers across technology, healthcare, business, engineering, and research.

Curriculum Structure

Initial Stage: Students develop a strong foundation in data science, mathematical optimization, programming, and computational methods. Core courses include Introduction to Data Science (DSCI 310), Optimization and Mathematical Foundations for Data Science (DSCI 311), and Algorithms and Software Foundations for Data Science (DSCI 321), helping students build essential skills in data analysis, algorithm development, and computational problem-solving.

Advanced Stage: Students strengthen their analytical and technical expertise through courses such as Introduction to Statistical Modeling (DSCI 431) and Statistical and Machine Learning (DSCI 441). They also choose between Data Management for Big Data (DSCI 411) and Accelerated Computing for Machine Learning (DSCI 421), gaining experience in large-scale data processing, statistical modeling, and machine learning applications.

Final Stage: Students complete their remaining approved electives and can explore specialized subjects such as Artificial Intelligence: Theory and Practice (CSE 327), Data Mining (CSE 447), Natural Language Processing (CSE 425), and Optimization Methods in Machine Learning (ISE 444). They can also pursue an optional thesis of up to six credits, allowing them to develop research expertise in a selected area of data science.

Focus Areas: Data Science, Artificial Intelligence, Machine Learning, Statistical Modeling, Big Data Analytics, Data Mining, Data Management, Mathematical Optimization, Natural Language Processing, Bioinformatics, Computational Biology, Data Visualization, Predictive Analytics, Accelerated Computing, Robotics, Business Analytics, Data Ethics.

Learning Outcomes: Develop strong programming and mathematical foundations, analyze and interpret complex datasets, apply statistical and machine learning techniques, design efficient algorithms, manage large-scale data systems, use computational tools to solve practical problems, understand ethical and legal responsibilities in data science, and develop innovative data-driven solutions across different industries.

Professional Alignment (Accreditation): The program is offered through Lehigh University's P.C. Rossin College of Engineering and Applied Science and draws faculty and coursework from eight engineering departments. Its interdisciplinary structure combines technical computing skills, mathematical foundations, statistical analysis, and ethical decision-making. The official university program information does not specify a separate professional accreditation for this master's degree.

Reputation (Employability Rankings): Lehigh University's P.C. Rossin College of Engineering and Applied Science provides students with an interdisciplinary academic environment and opportunities to apply data science across multiple industries. According to the university's Class of 2025 graduate employment information, master's graduates across the college achieved an average starting salary of $100,000. The program prepares graduates for professional opportunities in data science, statistical analysis, research and development, healthcare analytics, business intelligence, and technology.

Experiential Learning (Research, Projects, Internships etc.)

At Lehigh University, the M.S. in Data Science program is designed to provide students with hands-on experience that bridges the gap between theoretical knowledge and real-world application. Students engage in practical learning through various projects, internships, and access to cutting-edge facilities and tools that enhance their educational journey. This experiential learning approach ensures that graduates are not only proficient in data science concepts but also equipped with the skills necessary to thrive in the industry.

Here are some key aspects of experiential learning in the M.S. in Data Science program at Lehigh:

- Collaborative Projects: Students work on group projects that simulate real-world data challenges, fostering teamwork and problem-solving skills.
- Internship Opportunities: The program encourages internships with local and national companies, allowing students to gain valuable industry experience and network with professionals.
- Access to Advanced Software: Students utilize industry-standard software tools such as Python, R, SQL, and Tableau, which are essential for data analysis and visualization.
- Research Laboratories: Lehigh provides dedicated research labs equipped with the latest technology for data analysis, machine learning, and artificial intelligence projects.
- Data Science Institute: The university's Data Science Institute offers resources, workshops, and seminars that connect students with industry experts and cutting-edge research.
- Field Trips: Students have opportunities to visit tech companies and data-driven organizations, providing insights into how data science is applied in various sectors.
- Library Resources: The Lehigh University library offers extensive digital resources, including databases and journals specific to data science and analytics.

Progression & Future Opportunities

Lehigh University's M.S. in Data Science program equips graduates with the skills and knowledge to excel in a rapidly evolving field. Alumni have successfully secured roles such as Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, and Data Analyst. The program not only prepares students for immediate employment but also lays a strong foundation for long-term career growth:

- University Services: Lehigh offers dedicated career services, including resume workshops, interview preparation, and networking events with industry professionals. The Career Center also hosts job fairs specifically tailored for data science students.

- Employment Stats and Salary Figures: Graduates of the M.S. in Data Science program have an impressive employment rate, with over 90% securing jobs within six months of graduation. The average starting salary for graduates is around $85,000, with many positions offering even higher compensation based on experience and specialization.

- University–Industry Partnerships: Lehigh has established partnerships with leading companies in technology and analytics, such as Google, IBM, and Amazon. These collaborations provide students with internship opportunities and real-world projects that enhance their learning experience.

- Long-term Accreditation Value: The program is accredited by the Middle States Commission on Higher Education, ensuring that the education you receive meets high standards and is recognized by employers globally.

- Graduation Outcomes: Alumni have gone on to work at prestigious organizations, contributing to innovative projects and advancing their careers in data-driven roles.

Further Academic Progression: After completing the M.S. in Data Science, students have the option to pursue a Ph.D. in Data Science or related fields, allowing them to delve deeper into research and academia. Additionally, graduates can explore certifications in specialized areas such as machine learning, artificial intelligence, or big data analytics, further enhancing their expertise and career prospects.