Business Analytics University of California, Riverside

Overview

The Master of Science in Business Analytics at University of California, Riverside is a comprehensive postgraduate programme designed to bridge the gap between complex data analysis and strategic business management. This STEM-designated degree prepares students to navigate the vast landscapes of structured and unstructured data to inform critical organisational decisions. By combining technical proficiency with commercial acumen, the curriculum ensures graduates are ready to lead in data-driven industries.

Jointly delivered by the School of Business and the Department of Statistics, the programme offers a unique interdisciplinary approach. Students engage with cutting-edge analytical tools, including artificial intelligence, machine learning, and predictive forecasting.

Why Business Analytics at University of California, Riverside?

The programme stands out due to its STEM designation, which provides international students with the opportunity for extended Optional Practical Training in the United States. Students benefit from an experiential learning environment, including a dedicated Business Programming Club where they can master languages such as Python, R, and SQL. The partnership between the business school and the statistics department ensures a curriculum that is both mathematically rigorous and commercially relevant.

Furthermore, the university provides a professional development fund, allowing students to pursue additional certifications from industry leaders like Google and IBM. This commitment to practical skill-building is complemented by the A. Gary Anderson Graduate School of Management’s strong links to the corporate sector, providing students with access to a network of high-achieving professionals and alumni.

Tuition Fee Breakdown

• International fee: USD 69216 per full
• National fee: USD 69216 per full
• Local fee: USD 69216 per full

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum consists of 48 units, featuring core modules, specialised electives, and a two-part capstone project. Students can tailor their studies through concentrations in Finance Analytics, Marketing Analytics, or Supply Chain Analytics. Modules may include:

• Statistical Data Mining
• Statistics for Business Analytics
• Business Analytics for Management
• Statistical Computing
• Foundational Methods for Business Analytics
• Financial Management
• Marketing Management
• Operations Management
• Spreadsheet Modeling

Careers with Business Analytics

Graduates are prepared for high-demand roles across various sectors, benefiting from the university's dedicated Graduate Career Services. The programme focuses on developing the technical expertise required for roles such as data scientist, business intelligence analyst, and operations analyst. Recent graduates have secured positions at prominent organisations, including ThyssenKrupp, Boyd Gaming, and AFG International Product.

Common career paths for alumni include:

• Analytics Manager
• Data Scientist
• Financial Analyst
• Marketing Analyst
• Supply Chain Analyst
• Business Intelligence Analyst