Concentration & Academics

Business Analytics draws upon a portfolio of methods and tools including statistics, forecasting, experimental design, data mining, and modeling to turn data into information and insights.

The Business Analytics co-concentration is designed to be a second concentration for Carroll School of Management students, who must choose a primary concentration such as Marketing, Information Systems, Operations Management, Management & Leadership, Accounting, or Finance.

The objectives of the undergraduate co-concentration are to develop managers who:

  • possess a broad and deep understanding of theories and concepts in business analytics
  • are adept at data management and analysis
  • understand and utilize quantitative techniques for historical analysis, predictive analysis, modeling, and simulation
  • are capable of applying analytical skills and knowledge to address management problems across disciplines and industries

The growing analytics field includes descriptive, predictive, and prescriptive analytics:

  • Descriptive analytics helps organizations describe what has happened in their operating environment and includes gathering, organizing, tabulating, and communicating historical information: for example, how many online subscribers do we have?
  • Predictive analytics helps organizations understand what to do by uncovering relationships and associations in the available data, and uses techniques such as probability and forecasting to reveal the likelihood of outcomes: for example, does the number of online subscribers increase when we have banner advertising on search sites?
  • Prescriptive analytics is focused on understanding the causal effects that can be discerned from data sets, and strives to predict what will happen, given a particular course of action: for example, if we increase our banner advertising and provide one-click subscribing, how will the number of subscribers change?

To declare the Business Analytics co-concentration, visit the Undergraduate Dean’s Office in Fulton 315.

Courses for the Business Analytics co-concentration may be taken in any order, as long as prerequisites for individual classes are met. Up to one class from the co-concentration course list can be counted towards another concentration.

The following three courses are required for the co-concentration:

  • ISYS3340 Data Analytics in Practice (fall, spring: formerly ISYS 6640 Analytics and Business Intelligence)
  • OPER6604 Management Science (fall, spring)
  • OPER3384 Predictive Analytics (fall, spring)

Select two additional courses, excluding any courses taken from above list:

  • OPER3304/OPER6614 Quality Management (fall)
  • OPER3310 Sports Analytics (fall)
  • OPER6605 Risk Analysis & Simulation (spring)
  • OPER6606/MFIN6606 Forecasting Techniques (fall, spring, online)
  • OPER6607 Machine Learning for Business Intelligence (fall, spring)
  • OPER6608 Pricing & Revenue Optimization (fall)
  • ISYS2157 Programming for Management and Analytics (fall, spring) (or CSCI 1101)
  • ISYS3257 Database Systems & Applications (fall, spring)
  • ISYS3360 Machine Learning and Artificial Intelligence (fall)
  • ISYS6621 Social Media and Digital Business (fall, spring)
  • ISYS6645 Data Visualization (fall, spring)
  • ISYS6625 Geographic Info Systems (fall, spring)
  • MKTG2153 Customer Research and Marketing Decisions  (fall, spring)
  • MKTG3161 Customer Relationship Management (offered periodically in fall, spring)
  • MKTG3258 Advanced Marketing Analysis (offered periodically in fall, spring)
  • ACCT6640 Dive, Dissect, and Decide with Big Business Data (fall)
  • MFIN2270 Data Analytics in Finance (fall) 

For questions about the Business Analytics co-concentration, please contact Stephanie Jernigan.

Additional Resources

Please view our additional resources below for more information about the skills you'll gain from pursuing this concentration, careers in business analytics, or to access additional training materials.

Students are strongly encouraged to take additional courses from the above list. 

The Operations Management concentration provides students with knowledge of current issues in the Operations Management discipline. Intense competition in fast-paced global environments makes competencies in this field critical in both service and goods-producing organizations. This concentration is applicable to many industries and organizations, combining knowledge in business analytics, process design and analysis methods, project management, and operations management issues. The curriculum recognizes environmental, ethical, and social issues. The pedagogy entails lectures and discussions, case studies, field studies, and analytical modeling.

The objectives of the undergraduate concentration are to develop managers who:

  • possess a broad and deep understanding of theories and concepts in Operations Management
  • are capable of applying skills and knowledge to address management problems
  • understand and utilize quantitative and qualitative analysis in decision making
  • appreciate the role of operations in an organization and the interrelationships among functional areas

The Operations Management concentration builds upon the Carroll School of Management core, particularly complementing courses in statistics, organizational management, and economics. Our courses emphasize analysis and decision making and are explicitly designed to deliver the skills and knowledge required to successfully manage people, processes, and systems in today's competitive environment.

The concentration is designed to intersect with other functional disciplines, making Operations Management an excellent complement to other concentrations including Accounting, Business Analytics, Finance, Marketing, Information Systems, or Management & Leadership.

The following two courses are required for the concentration:

  • OPER3375 Operations Strategy and Consulting (fall)
  • OPER2255 Managing Projects (spring)


Also required are two of the following courses:

  • OPER3304/OPER6614 Quality Management (fall)
  • OPER3310 Sports Analytics (fall)
  • OPER3332 Supply Chain Management (spring)
  • OPER3384 Predictive Analytics (fall/spring)
  • OPER6604 Management Science (fall/spring)
  • OPER6605 Risk Analysis & Simulation (spring)
  • OPER6606 Forecasting Techniques (fall/spring/online)
  • OPER6608 Pricing & Revenue Optimization (fall)


Students are strongly encouraged to take additional courses from the above list. 

Although there are no particular prerequisites needed in order to qualify for study abroad, the usual course prerequisites still apply. There is no limit to how many courses taken abroad will be allowed for major credit. If the courses are judged equivalent and if the proposed courses constitute a reasonable selection, major or elective credit will be given. After acceptance into a study abroad program the student should then see the department chair for course approvals before going abroad. Students must provide a copy of the syllabus and course description for approval.