Program Overview

Master of Science in Data Analytics Program

The Master of Science in Data Analytics program at the University of La Verne's College of Business is designed to prepare students to harness the power of big data and guide decision-making within the modern business world. The program 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.

Program Features

• The program offers two concentrations: marketing analytics and supply chain analytics.
• Full-time students can complete this master's program in just 12 months through flexible in-person, synchronous online, or asynchronous modalities.
• Data scientists/analysts are among the top 10 fastest-growing and well-paid careers, with entry-level pay approximately double the average college graduate.
• The program provides each student the opportunity to earn certification by SAS, a globally recognized leader in data analytics and programming certification.
• Students will have access to program and career advisors through the College of Business.

Curriculum

The Master of Science in Data Analytics curriculum includes:

• Waivable prerequisite courses (0-3 semester hours)
• Core courses (21 semester hours)
  • Management of Information Technology
  • Integrated Data Management
  • SAS Programming Essentials
  • Multivariate Statistical Analysis
  • Data Mining and Predictive Analytics I
  • Data Mining and Predictive Analytics II
  • Analytics Graduate Seminar (Culminating Activity)
• Concentration/Track (15 semester hours)
  • Marketing Analytics Concentration
    • Seminar in Marketing Management
    • Marketing Research Methods
    • Digital Marketing and Social Media Analytics
    • Experimental Design and Analysis in Consumer Behavior
    • Marketing Analytics
  • Supply Chain Analytics Concentration
    • Analysis of Business Operations
    • Supply Chain Management & Strategy
    • Problem Solving Methodologies
    • Analytics in Operations and Planning
    • Analytics in Logistics and Sourcing
  • Customized Track Option
    • Select five courses from the Marketing Analytics and Supply Chain Concentrations

Admission Requirements

• Completed Admission Application and application fee
• Official transcripts from all institutions attended
• A bachelor's degree from a regionally accredited US college or university, or its international equivalent with a preferred GPA of 3.0
• Applicants with lower GPAs may be required to submit Graduate Management Admissions Test (GMAT) or the Graduate Record Examination (GRE) scores
• A current résumé
• Statement of purpose
• Letters of recommendation may be required if a definitive decision cannot be made on the basis of the application materials listed above
• Students without a degree from an English-speaking institution must establish minimal proficiency in English

Frequently Asked Questions

• Why obtain an Master of Science in Data Analytics degree?: The Master of Science in Data Analytics is designed to help students prepare for one of the fastest-growing career fields globally.
• What are the skills the curriculum teaches?: Graduates will explore big data technologies, develop analytic skills, learn SAS procedures, build predictive models, and understand data preprocessing methods.
• Is financial aid available?: Yes, depending upon an applicant's circumstances and qualification, the Office of Financial Aid will work with applicants to maximize financial support.
• Do you offer a military discount?: Yes, the university is a top university for those who are actively serving in the military.

Program Information

• Total Units: 36
• Time to Completion: 1-2 years
• Campus Locations: La Verne
• Start Terms: Spring, Fall
• Program Director: Fengmei Gong, PhD
• Cost per unit: $975
• The Master of Science in Data Analytics is STEM designated by the Department of Homeland Security, and is thus eligible for international students to apply for an optional practical training (OPT) extension totaling up to 36 months.