Lewis University's online Master of Science in Data Science degree is designed to provide you with the skills and concepts of data science as applied to a wide variety of fields such as the natural sciences, the social sciences, the humanities, healthcare, business and education. The online Data Science master's program provides you with skills needed to play a significant role in data mining, data visualization, predictive analytics and data management.
The field of data science uses mathematics and computational techniques to generate new knowledge from large sets of data, which can provide decision makers with critical information necessary to make optimal decisions. The mathematical theory and techniques used by data scientists ranges from probability and statistics, to linear algebra and modeling. The mathematics are used along with computer science concepts and skills in distributed storage and processing, networks, human-machine interfaces, software development and algorithms. Using these concepts, data scientists can develop software and systems that enable identification and interpretation of critical big data assets.
Upon graduating from the program, you will be ready to discover the patterns within large quantities of data and implement solutions that provide insight, thanks to courses in:
Machine Learning
Statistical Programming
Data Mining and Analytics
Large-Scale Data Storage Systems
Data Visualization
Artificial Intelligence
Natural Language Processing
Digital Image Processing
Earn your master's from Lewis University and you can learn data science in a flexible, 100% online environment.
QUALIFY FOR THE NATION'S NO. 3 JOB
Earning your online M.S. in Data Science will qualify you for employment as a Data Scientist, the #3 job in America according to Glassdoor. Expertise in data science gives you both flexibility and opportunity. Big data analysis is used in almost every major field, from business and finance to government, healthcare and countless others. More and more industries are realizing the value of data science and the importance of data-driven decision-making. Knowledgeable individuals who can harness that data are increasingly in demand.
Graduate equipped to be that individual. Lewis' Master's in Data Science provides you with the knowledge and skills you need to process massive amounts of data to discover patterns, relationships and trends, and communicate actionable recommendations for businesses and organizations to make informed decisions.
CONCENTRATIONS ALLOW YOU TO CUSTOMIZE YOUR DEGREE
The data science master’s degree is an online, 33-credit-hour program offering concentrations focused on various roles and subfields in industry and education:
Cognitive and Prescriptive Analytics
Data Engineering
Cybersecurity Data Science
Data Science Research
Computational Biology and Bioinformatics
Or, for maximum flexibility of course selection, you can graduate from the program with no concentration, if that better fits your career goals.
*Price shown is for indicative purposes, please
Expected November 2025
Start date
January 2025
College of Aviation, Science and Technology
Lewis University,
One University Parkway,
Romeoville,
Illinois,
United States
To be accepted for admission into the program, a student must present the following credentials:
1. A baccalaureate degree from a regionally-accredited institution of higher education.
2. A minimum undergraduate GPA of 3.0 on a 4.0 scale.
3. An application for graduate admission, accompanied by an application fee.
4. Professional resume.
5. Official transcripts from all institutions of higher education attended.
7. A two-page statement of purpose.
8. Two letters of recommendation.
9. Undergraduate mathematics coursework in Calculus
English Proficiency Exams
IELTS - Minimum 6.5; TOEFL - TOEFL test score greater than 550 (computer-based 213; internet-based 79); PTE-A - Minimum 52; Duolingo Academic - Minimum 105.
*There may be different IELTS requirements depending on your chosen course.
Lewis University places a strong emphasis on practical, hands-on learning with small class sizes and a personalized teaching approach.