Analytics & Operations Concentration Requirements

  • Concentration

    The Business Analytics Concentration

    The Analytics and Operations Department offers a concentration in business analytics. This four-course concentration provides students with the tools and technologies to analyze data for business applications. The business analytics concentration includes coverage of software such as SAS (Statistical Analysis Systems), SQL (Structured Query Language), and Python programming language, with applications in business process optimization and machine learning.

    Business analytics can only be taken as a secondary concentration by students who have a primary major in accounting or economics (business), or another primary concentration in business administration (accounting, economics, finance, international business, management, marketing).

    Requirements:

    • INFO-201 Data Analysis Software

    • INFO-301 Advanced Applied Statistics

    • INFO-302 SQL and Process Optimization for the Business Analyst

    • INFO-303 Machine Learning for the Business Analyst

    • In addition to the four required INFO courses in this concentration, students are recommended to take one related course in their primary concentration or major such as:

  • Courses

    CODE

    NAME

    DESCRIPTION

    INFO 201

    Data Analysis Software

    Software to analyze data for business and economics applications. This is the first course in the Business Analytics concentration, and is designed for students that do not have any prior background in computer programming.

    INFO 259

    Special Topics in Business Analytics

    This 200-level course will enable students who have completed INFO 201 to further their knowledge by learning the basics of data analysis tools and technologies beyond those covered in INFO 301, 302 and 303.

    INFO 301

    Advanced Applied Statistics

    Regression and simulation methods to solve complex problems in business, society, and the public sector. Selection of the correct statistical technique for the particular problem being solved, running statistical analyses using analytics tools that a...

    INFO 302

    SQL and Process Optimization for the Business Analyst

    Introduces common techniques for relational data management, including conceptual modeling and Structured Query Language (SQL). Additionally covers topics from business process re-engineering, with a focus on process modeling, performance assessment...

    INFO 303

    Machine Learning for the Business Analyst

    Process of investigating data through a machine learning lens. Application of machine learning techniques to real-world business use cases. Extract and identify useful features that best represent data, some of the most important machine learning alg...

    INFO 359

    Special Topics in Business Analytics

    This 300-level course will enable students who have completed INFO 201 to further their knowledge by learning more advanced data analysis techniques in programming, relational and non-relational databases, and/or machine learning beyond those covered...