What will I learn?

The Master’s of Science in Data Analytics graduate 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.

Which department am I in?

College of Business and Public Management

Study options

Full Time (12 months)

Tuition fees
USD $910 per unit
Application deadline

Expected June 2022

Start date

Expected September 2022

Venue

University of La Verne

1950 Third Street,

LA VERNE,

California,

91750, United States

Entry requirements

For students from United States

A bachelor’s degree from a regionally accredited college or university. (Doctoral programs may also require a master’s degree.) A preferred GPA of 2.5 or above for the last 60 semester hours of undergraduate study, and a GPA of 3.0 for any graduate work.

For international students

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.

*There may be different IELTS requirements depending on your chosen course.

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