The Business Analytics BBA at the University of San Diego equips students with the analytical skills and business knowledge needed to interpret data, solve organisational challenges and support informed decision-making. Designed for students interested in business, technology and problem-solving, the program combines core business subjects with data management, decision modelling, predictive analytics and business strategy.
Curriculum Structure
Year 1 – Building Business and Quantitative Foundations
Students develop a foundation in economics, mathematics and business concepts while completing the university’s core curriculum. Courses such as ECON 101 – Principles of Microeconomics, ECON 102 – Principles of Macroeconomics and MATH 133 – Business Calculus help students understand markets, economic decisions and quantitative methods.
Year 2 – Strengthening Business Knowledge
Students build their understanding of accounting, finance, statistics and marketing, preparing for specialised analytics coursework. Subjects such as ACCT 201 – Principles of Financial Accounting, ECON 216 – Stats for Business & Econ and FINA 300 – Financial Management develop the ability to interpret financial information and apply quantitative reasoning to business situations.
Year 3 – Developing Core Analytics Skills
Students begin specialised major courses that introduce data management, analytical decision-making and business operations. BUAN 314 – Descriptive Analytics & Data Management, BUAN 371 – Analytical Decision Modeling and DSCI 300 – Foundations of Business Analytics help students organise data, evaluate alternatives and apply analytical methods to business problems.
Year 4 – Predictive Analytics and Strategic Application
Students advance into predictive analytics and strategic business applications while completing their remaining major and university requirements. Courses such as BUAN 381 – Predictive Analytics & Big Data, BUAN 390 – Business Analytics Strategy and MGMT 497 – Global and Sustainable Business Strategy help students use data to anticipate trends and support long-term organisational decisions.
Note: This is the university’s recommended sample study plan. Students should confirm their individual course sequence with an academic advisor.
Focus Areas
Descriptive analytics, data management, analytical decision modelling, predictive analytics, big data, business strategy, operations management, financial management, marketing analytics, machine learning, supply chain analytics.
Learning Outcomes
Students develop the ability to organise and interpret business data, apply analytical decision models, use predictive techniques to identify trends, evaluate business alternatives, understand core business functions and communicate data-driven recommendations for organisational decision-making.
Professional Alignment (Accreditation)
The Business Analytics major is offered through the University of San Diego’s Knauss School of Business. The curriculum combines business administration with specialised analytical coursework and includes the Professional Development Passport Program, supporting career readiness and professional development.
Reputation (Employability Rankings)
The university’s 2024–2025 First-Destination Survey reports:
94% positive career outcomes among undergraduate graduates.
66% employed after graduation.
22.5% continuing their education.
90.9% of respondents received their first full-time job offer within three months of graduation.
$77,620 average annual starting salary across undergraduate respondents.
These figures represent university-wide undergraduate outcomes, not Business Analytics graduates alone.
The Business Analytics BBA at USD connects analytical learning with practical business applications through coursework, internship options and professional development activities. Students can explore areas such as machine learning, supply chain analytics, financial modelling and marketing analytics, allowing them to apply quantitative techniques to different business functions. The Professional Development Passport Program also helps students build career-readiness skills and professional connections throughout their undergraduate studies.
Practical learning opportunities include:
Business Analytics Internship: Students can select BUSN 498 – Internship as a major elective, providing an opportunity to gain professional experience.
Machine Learning: BUAN 470 – Machine Learning allows students to explore analytical techniques used to identify patterns and support business decisions.
Supply Chain Analytics: BSCM 307 – Supply Chain Analytics connects data analysis with supply chain operations and planning.
Marketing Analytics: MKTG 411 – Marketing Analytics helps students apply analytical methods to marketing-related business questions.
Financial Modelling: FINA 409 – Financial Modeling and Analysis develops analytical skills relevant to financial decision-making.
Professional Development Passport Program: Students work on career-readiness activities involving job-search techniques, résumé development, networking and interview preparation.
Combined BBA/MSBA pathway: Eligible juniors and seniors can explore the combined Bachelor of Business Administration and Master of Science in Business Analytics program.
The Business Analytics BBA prepares graduates to apply data analysis, business knowledge and decision modelling across industries. Students can develop career pathways in business consulting, financial analysis, marketing, operations and supply chain management, supported by the program’s professional development and analytical coursework.
Potential career roles: Business Analyst, Business Intelligence Analyst, Data Analyst, Operations Analyst
Additional career development opportunities include:
Career preparation: The Professional Development Passport Program supports students with résumé building, job-search techniques, networking, interview preparation and career exploration.
Employment outcomes: USD’s 2024–2025 undergraduate First-Destination Survey reports a 94% positive career outcomes rate, with 66% employed and 22.5% continuing their education. These are university-wide undergraduate results, not Business Analytics-specific outcomes.
Salary information: The university reports an average annual starting salary of $77,620 and a median starting salary of $75,000 among undergraduate survey respondents.
Employer connections: Employers listed in USD’s undergraduate graduate outcomes include EY, Deloitte, PwC, Qualcomm, Amazon, Tesla, Boeing and General Atomics. These are university-wide employer examples, not confirmed Business Analytics-specific placement partners.
Professional development: The curriculum combines business fundamentals with specialised analytical courses, helping students build transferable skills for roles involving data-driven decision-making.
Further Academic Progression: Graduates may pursue postgraduate study in business analytics, data analytics, business administration, information systems, finance or related fields, subject to admission requirements. USD also offers a combined BBA/MSBA pathway for eligible juniors and seniors who wish to progress into graduate-level business analytics study.


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