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Faster computing powers have made it possible for organizations to transform their massive amounts of data into information and apply advanced analytics methods to problems that were impossible to solve even ten years ago. Business analytics uses data, statistical and quantitative analysis, programming, predictive modeling, and optimization to make businesses work better and provide them with competitive advantage.

A concentration in Business Analytics will prepare you to use data, statistical and quantitative analysis, programming, predictive modeling, and optimization techniques to help business work more efficiently and effectively, and to provide them with a strategic competitive advantage.

Requirements to Declare Concentration

As of Fall 2024, earning 56 credits, a minimum cumulative GPA of 3.5 and a B- or better in CQS 312 is a prerequisite for declaring the concentration. Prior to Fall 2024, earning 56 credits, a minimum cumulative GPA of 3.5 and receiving an A- or better in CQS 311 was a prerequisite for declaring the concentration.

Concentration Requirements

As of Fall 2024, in addition to the standard curriculum for the BSBA degree, students wishing to fulfill a concentration in Business Analytics are required to complete a total of five courses (specified below). At graduation you must have a combined GPA of 2.7 or higher in your Business Analytics concentration courses to be awarded the concentration. Only courses taken at ºÚÁÏÊÓƵ or as part of a study abroad program will count towards a concentration GPA.

Coursework

The schedule of course offerings is available in the official ºÚÁÏÊÓƵ Schedule of Classes on .

Descriptions of courses are listed in the and course descriptions for the upcoming semester are available on BU Brain.

Contact Undergraduate Academic Advising for the most updated list of core courses and electives, as well as required pre-requisites.

Required Courses (5 total/4 if enrolled in SOM prior to Fall 2024)

Complete all of the following:

• SCM 360 - SpreadsheetModeling&Dec Making

  Levels: Undergraduate

• MIS 325 - Essentials of Programming

  The course will cover principal components of different types of programming languages: object oriented language such as C++, Java, scripting languages such as VBA; 4th generation query languages, such as SQL. The focus of the course will be on how to use the languages and when to use them. However, the course will also include the components of the languages such as the data structure, and programming constructs. Such knowledge will enable effective use of the languages in various analytical applications, mainly financial and other data analysis. 4 credits Prerequisites: MIS 311 Offered fall and spring semesters. Levels: Undergraduate

• SCM 460 - Bus Intelligence & Analytics

  Levels: Undergraduate

Electives 

Select two of the following (select only one if enrolled in SOM prior to Fall 2024): 

• MKTG 441 - Customer Analytics

  Levels: Undergraduate

• MKTG 475 - Data Driven Marketing

  Levels: Undergraduate

• MKTG 480F - Special Topics

  Levels: Undergraduate

• MIS 480F - IT for Business Analytics

  Levels: Undergraduate

• MIS 480H - Web Mining/Soc Netwk Analysis

  Levels: Undergraduate

• MIS 480J - Intro to Machine Learning

  Levels: Undergraduate

• MIS 480L - Data Science Project

  Levels: Graduate, Undergraduate

• MKTG 480N - Digital Analytics

  Digital Analytics course is designed for students who have a general interrest in collecting, analyzing, visualizing, and lastly, but most importantly, gaining insights about digital marketing data. With a focus on hands-on skills, we are going to cover several analytical tools in class such as Excel, R, Google Analytics, and Tableau. MUST BRING LAP TOP IN CLASS Pre-Requisites: MKTG 311 and Junior Standing Levels: Undergraduate

• MKTG 480R - Data Mining Techniques in MKTG

  Levels: Undergraduate

• SCM 365 - Supply Chain Management

  Levels: Undergraduate

• SCM 465 - Managing Healthcare Operations

  Levels: Undergraduate