Master of Science in Data Analytics

The Master of Science in Data Analytics program in the University of La Verne's College of Business and Public Management will prepare students to harness the power of big data and guide decision-making within the modern business world. The program, offered at the university's La Verne Campus in Southern California, equips students with a comprehensive understanding of business intelligence and data analysis, enabling them to create data-gathering tools, analyze and understand the impact of data, and help set corporate strategy based upon information.
The program offers two concentrations: marketing and supply chain.
Graduates of the MS in Data Analytics will :
Explore big data technologies and develop analytic skills to discover hidden insights
Learn SAS procedures for basic statistical inference, time-series forecasting, and perform big data analysis using SAS programming
Build a predictive model to see how digital analytics and social media analytics can be used for strategic planning
Learn the fundamental concepts and methods of data mining including machine learning tools and techniques
Know how to implement analyses of multivariate statistical methods for business problems using statistical programs such as SAS, Python, and R
Understand data preprocessing methods for data cleaning, integration, dimension reduction, and transformation
Learn the essentials of data-driven forecasting methods for supply chain operations and planning
Develop conceptual and practical knowledge of how to develop performance measurement tools and assess marketing return on investment and channel efficiency

Official transcripts showing completion of a bachelor’s degree from a regionally accredited college or university (a preferred GPA of 3.0 in the last 60 units of undergraduate work, including grades no lower than a C in all prerequisite courses)

TOEFL - 80 iBT or higher, 550 pBT or higher; Duolingo English Test - 105 or higher; IELTS - 6.5 overall band score or higher.