Business Analytics, BBA

4 Years On Campus Bachelors Program

University of Miami

Program Overview

The Business Analytics, BBA is a STEM-designated specialization that prepares students to combine quantitative, statistical, and computational techniques to understand large datasets and turn them into better business decisions. It suits students interested in the intersection of business and data, with coursework covering data preparation and visualization, optimization, data analysis, Python, databases, machine learning, big data, econometrics, and marketing or supply-chain analytics.

Curriculum Structure

Year 1: Students begin with the business and quantitative foundations of analytics through ECO 211 Principles of Microeconomics, MGT 100 Managing for Success in the Global Environment, and MKT 201 Foundations of Marketing. They also take MTH 161 Calculus I or MAS 110 Quantitative Applications in Business, followed by BUS 150 Business Analytics and MAS 201 Introduction to Business Statistics, establishing the mathematical and analytical base for later coursework.

Year 2: Students develop a stronger understanding of accounting, technology, statistics, and data analysis through courses such as ACC 211 Principles of Financial Accounting, BTE 210 Fundamentals of Business Technology and Innovation, and MAS 202 Intermediate Business Statistics. The second semester introduces MAS 432 Data Analysis, alongside FIN 302 Fundamentals of Finance and MGT 303 Operations Management, connecting quantitative analysis with real business functions.

Year 3: The programme moves into specialist analytics with MAS 332 Data Acquisition, Preparation and Visualization and MAS 342 Introduction to Optimization and Decision Making, helping students work with data and apply analytical methods to decision-making. Students then select specialist courses such as BTE 320 Python Programming: Fundamentals and Algorithms, BTE 423 Database Management Systems, MAS 548 Machine Learning for Analytics, or MAS 549 Big Data Analytics.

Year 4: In the final year, students deepen their specialization through additional major-choice and quantitative courses, with options including MGT 445 Supply Chain Modeling and Analysis, MKT 302 Marketing Research and Market Analysis, MKT 389 Digital Media Metrics, or FIN 320 Investment and Security Markets. Students complete the BBA with MGT 401 Strategic Management, bringing their analytical and business knowledge together in a strategic context.

Focus areas

Business analytics, data analysis, data acquisition, data visualization, optimization, decision science, Python programming, database management, machine learning, big data analytics, econometrics, financial analytics, supply-chain analytics, marketing analytics and digital media metrics.

Learning outcomes

Students develop the ability to select and apply appropriate analytical models, tools and techniques to make sound business decisions, identify and resolve ethical issues, communicate professionally, and use quantitative, statistical and computational methods to analyze complex business problems.

Professional alignment (accreditation)

The Business Analytics BBA is a STEM-designated specialization within Miami Herbert Business School. Miami Herbert Business School holds AACSB, EQUIS and AMBA accreditations, giving students the benefit of studying within a business school recognized through major international business-education accreditation frameworks.

Reputation (employability rankings / official statistics)

Miami Herbert provides dedicated career resources for Business Analytics students, including business-analytics career pathways, industry reports, employer information, market data, job and internship opportunities, and development programmes. Its career platform also features opportunities in business analytics with employers seeking skills such as data analysis, SQL, Python, Tableau and other analytical technologies.

Experiential Learning (Research, Projects, Internships etc.)

The programme is strongly application-oriented, with the official curriculum specifically noting that several Business Analytics courses involve projects in which students evaluate a real-world system or process, build models of that system, and apply management-science methods to improve it. Students can also develop technical experience through Python programming, database management, machine learning, big-data analytics and data visualization, while Miami Herbert's career infrastructure connects students with internships, employer opportunities and hands-on career simulations.

Students can develop practical skills through:

Real-world analytical projects: Business Analytics coursework includes projects where students evaluate and model real-world systems or processes, then use management-science methods to identify improvements and communicate their findings through written and oral presentations.
Data preparation and visualization: MAS 332 Data Acquisition, Preparation and Visualization develops practical skills for working with business data and presenting analytical results.
Python programming: BTE 320 Python Programming: Fundamentals and Algorithms gives students a programming pathway directly within the Business Analytics specialization.
Database technologies: BTE 423 Database Management Systems allows students to develop knowledge of database systems relevant to data-driven business environments.
Machine learning and big data: Students can choose MAS 548 Machine Learning for Analytics and MAS 549 Big Data Analytics, providing opportunities to develop more advanced analytical capabilities.
Business analytics internships: Miami Herbert's career platform lists internships and full-time opportunities under the Business Analytics career pathway, including positions involving data analysis, business intelligence, process improvement and analytics.
Industry-standard analytical skills: University-hosted opportunities show employers seeking students with skills in SQL, Python, Tableau, Excel and business intelligence/data-visualization tools, providing a direct connection between the programme's analytical preparation and workplace requirements.
Forage career simulations: Miami Herbert provides access to Forage, where students can complete hands-on job simulations created by major employers and use the experience to strengthen their resumes.
Canes Behavioral Lab: Miami Herbert has the Canes Behavioral Lab, providing a research environment within the school's marketing area; university faculty research also uses quantitative and machine-learning approaches.
Career and employer engagement: Miami Herbert's career resources include employer connections, industry reports, job and internship boards, events and development programmes specifically organized around career pathways including Business Analytics.

Progression & Future Opportunities

The Business Analytics BBA prepares graduates for careers where business knowledge is combined with quantitative analysis, data interpretation and technology. The curriculum can support pathways into business intelligence, data analysis, consulting, operations, marketing analytics, supply-chain analytics, financial analytics and other data-intensive business functions.

Typical job roles include: Business Analyst, Data Analyst, Business Intelligence Analyst, Business Analytics Consultant

Dedicated career support: Miami Herbert provides career coaching, employer resources, industry reports, job and internship opportunities, events and career-pathway resources, including a dedicated Business Analytics pathway.
Internship preparation: Students can access internship and job listings through Miami Herbert and Handshake, while Forage provides employer-created job simulations for additional practical experience.
Employer opportunities: University career postings demonstrate demand for analytics-related skills through opportunities with organizations such as Royal Caribbean Cruises, Bank of America, JPMorgan Chase, Nordstrom, Freddie Mac and NextEra Energy. These postings are examples of employer opportunities available through the university's career platform rather than guaranteed destinations for graduates.
Technology-focused preparation: Employers represented on the university's career platform seek skills including Python, SQL, Tableau, Excel, data visualization, statistical analysis and business intelligence, which align with the programme's available coursework in programming, databases, data analysis, machine learning and big data.
Industry engagement: Miami Herbert's career platform provides industry reports, top-employer information, market data, jobs, internships, development programmes and events, allowing students to explore different analytics career paths.
Accreditation value: Miami Herbert's AACSB, EQUIS and AMBA accreditations provide an internationally recognized business-school quality framework that accompanies the BBA education.
Employment and salary figures: The official sources reviewed do not publish a Business Analytics BBA-specific employment rate or average starting salary, so a programme-specific figure should be recorded as NA rather than inferred from other Miami Herbert programmes.

Further Academic Progression: After completing the BBA, students can continue into graduate study in areas such as business analytics, data science, information systems, management science, finance, marketing analytics or related quantitative business fields. The University of Miami also offers a B.B.A./M.S. in Business Analytics Dual Degree, providing an especially relevant graduate pathway for students who want to deepen their analytics expertise.