Business Analytics, BBA

4 Years On Campus Bachelors Program

Pace University New York Campus

Program Overview

Pace University’s Bachelor of Business Administration in Business Analytics combines business knowledge with data analysis, information technology, and quantitative modeling to help students make informed decisions and solve real-world business challenges. This STEM-designated program is ideal for students interested in using analytical tools such as Python, R, SQL, Excel, RapidMiner, and Tableau to explore careers in data analytics, finance, risk management, market research, and consulting.

Curriculum Structure

First Year: Students build a foundation in business, mathematics, computing, economics, and communication. Courses such as BUS 101: Contemporary Business Practice, CIS 101: Introduction to Computing, MAT 104: Finite Mathematics, and ECO 106: Principles of Economics: Microeconomics introduce business operations, quantitative thinking, and the role of data in decision-making.

Second Year: Students begin applying analytical thinking to business functions while developing their understanding of accounting, finance, and data systems. MGT 226: Business Analytics introduces data-driven business decisions, while CIS 143: Introduction to SQL for Business develops database skills; ACC 203: Financial Accounting and FIN 260: Financial Management strengthen financial knowledge.

Third Year: The curriculum moves into programming, predictive modeling, machine learning, and data visualization. Students take MGT 251: Introduction to Programming for Data Science, MGT 353: Predictive Analytics, MGT 388: Machine Learning for Business, and MAR 368: Visual Analytics, developing the ability to analyze data and communicate business insights.

Fourth Year: Students refine their analytical and strategic skills through optimization, business strategy, and advanced electives. MGT 352: Simulation and Optimization Models helps students evaluate business decisions, while MGT 490: Business Strategy brings together management, accounting, marketing, economics, and finance; electives may include Data Analysis in Finance, Operations and Supply Chain Management, or Applied AI with Deep Learning.

Focus Areas

Business analytics, data analysis, quantitative modeling, SQL, programming for data science, predictive analytics, machine learning, visual analytics, simulation and optimization, financial analysis, business strategy, marketing analytics, operations and supply chain management.

Learning Outcomes

Analyze business data using quantitative methods; apply programming and database tools to business problems; develop predictive models and interpret analytical results; use visualization to communicate insights; evaluate business decisions through simulation and optimization; integrate financial, marketing, management, and strategic knowledge into evidence-based recommendations.

Professional Alignment (Accreditation)

Pace University's Lubin School of Business holds dual accreditation from the Association to Advance Collegiate Schools of Business (AACSB) International. The Business Analytics BBA is also STEM-designated, which can provide eligible international students with access to the STEM OPT extension subject to applicable immigration requirements.

Reputation (Employability Rankings)

Pace reports that 93% of Lubin's class of 2023 bachelor's graduates were employed, continuing their education, or participating in service. The university also reports that Lubin is among the top 2% of business schools worldwide holding dual AACSB accreditation.

Experiential Learning (Research, Projects, Internships etc.)

Students develop practical business and analytical skills through coursework that uses real analytical techniques and industry-relevant software. The program emphasizes applying data analysis, modeling, and visualization to business decisions, while Pace's career resources connect students with internships, employer events, and professional development opportunities.

Students can build applied experience through:

  • Analytics Software: Use tools including R, Python, SQL, Microsoft Excel, RapidMiner, and Tableau for data analysis, modeling, and visualization.

  • Business Analytics Coursework: MGT 226 covers descriptive, predictive, and prescriptive analytics, including regression, forecasting, linear optimization, Monte Carlo simulation, and project scheduling.

  • Programming and Machine Learning: MGT 251 introduces programming for data science, while MGT 388 focuses on machine learning applications in business.

  • Business Simulation: BUS 101 includes team-based work running simulated companies; MGT 490 uses an internet-based business simulation to apply business strategy.

  • Professional Preparation: BUS 255: Professional Planning and Practice for Internships and Careers supports students' career preparation.

  • Internships and Job Search: Pace Career Services provides access to Handshake, where students can search internship and job postings.

  • Employer Engagement: Career fairs, employer spotlights, and employer road trips provide opportunities to meet recruiters and learn about organizations.

  • Micro-Internships and Work Simulations: Pace Career Services lists business analytics experiences, including PwC Digital Assurance and a Tata data visualization work simulation.

  • Career Support: Students can use career advising, resume development resources, workshops, and internship preparation services.

Progression & Future Opportunities

Graduates of Pace University's Business Analytics BBA can apply their analytical, technical, and business skills across finance, consulting, marketing, technology, and operations. The program develops the ability to interpret data, identify business trends, evaluate decisions, and communicate recommendations, supporting a range of professional pathways.

Potential Career Roles:

Business Analyst, Data Analyst, Financial Analyst, Management Consultant, Market Research Analyst, Operations Analyst, Operations Research Analyst, Business Intelligence Analyst, Risk Analyst, Predictive Analytics Analyst, Marketing Analyst, Data Visualization Analyst, Supply Chain Analyst, Business Intelligence Consultant, Financial Data Analyst

Students can develop their career readiness through the following university-supported opportunities:

  • Career Services: Pace Career Services offers career advising, resume development, workshops, Handshake access, and employer engagement activities.

  • Employment Outcomes: Pace reports that 93% of Lubin's class of 2023 bachelor's graduates were employed, continuing their education, or participating in service.

  • Salary Information: Pace lists a median annual salary of $108,260 for operations research analysts in New York, based on U.S. Bureau of Labor Statistics data.

  • Industry Connections: Pace graduates have been employed by organizations including JPMorgan Chase, Goldman Sachs, Morgan Stanley, Credit Suisse, Brown Brothers Harriman, and Guardian Life. These are examples of graduate employment destinations, not guaranteed placements.

  • Internship Preparation: BUS 255 supports professional planning and preparation for internships and careers, while Career Services provides access to internship listings and employer events.

  • Accreditation Value: AACSB accreditation reflects the Lubin School of Business's recognized business education standards. STEM designation may also provide eligible international graduates with an extended period of post-completion practical training under applicable U.S. immigration rules.

  • Career Growth: The combination of analytical tools, quantitative modeling, business strategy, and technical skills supports progression into specialized analytics, consulting, management, and leadership roles.

Further Academic Progression: Graduates may pursue postgraduate degrees such as a Master of Science in Business Analytics, Data Science, Applied Statistics, Information Systems, Finance, or Management. Students interested in broader business leadership may also consider an MBA after meeting the relevant admission requirements and gaining appropriate professional experience.

Program Key Stats

$20620
$52924
$52924
$50
EA, EA2, ED
Rolling


84%

Eligibility Criteria

BCC - BBC
3.2 - 4
20 - 24
60 - 65

1150 - 1350
31 - 32
6.5
90
Never Required
No

Additional Information & Requirements

How US Universities Assess Applicants

Career Options

  • Business Analyst
  • Data Analyst
  • Financial Analyst
  • Management Consultant
  • Market Research Analyst
  • Operations Analyst
  • Operations Research Analyst
  • Business Intelligence Analyst
  • Risk Analyst
  • Predictive Analytics Analyst
  • Marketing Analyst
  • Data Visualization Analyst
  • Supply Chain Analyst
  • Business Intelligence Consultant
  • Financial Data Analyst

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