600 Level Courses

MSBA 601: Statistics and Software for Business Analytics Bootcamp. 0 credits.
The one-week bootcamp is designed for students with no prior background in statistics and statistical software. It will introduce students to fundamental concepts in statistics and data analysis, utilizing advanced statistical software(s). The goal is to enable students to get prepared for more in-depth analytics courses in the program. Offered by School of Business. May not be repeated for credit.
Registration Restrictions:

Enrollment limited to students with a class of Advanced to Candidacy, Graduate, Junior Plus or Senior Plus.

Students in a Non-Degree Post-Baccalaureate or Non-Degree Undergraduate degrees may not enroll.

Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.
MSBA 610: Essentials for Business Analytics: From Data Ethics to Data Driven Decision-making. 3 credits.
This course will provide students with an understanding of the principles of business analytics from data ethics to data driven decision making. To this end, this course seeks to connect business analytics to fundamental decision problems facing organizations in the core business disciplines. Current applications of business analytics by organizations will be examined. Further, with the use of business analytics increasing, the legal, ethical, moral, and social issues surrounding the collection and analysis of data will be discussed. Discussions on data ethics will cover historical and current concerns while maintaining an eye to identifying emerging issues. Lastly, this course explores how to implement processes and practices to incorporate data ethics and utilize communication skills to better inform business decisions with business analytics. Offered by School of Business. May not be repeated for credit.
Recommended Prerequisite: Admission to the Master of Science in Business Analytics program
Registration Restrictions:

Enrollment limited to students with a class of Advanced to Candidacy, Graduate, Junior Plus or Senior Plus.

Students in a Non-Degree Post-Baccalaureate or Non-Degree Undergraduate degrees may not enroll.

Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.
MSBA 615: Databases and Database Management for Business Analytics. 3 credits.
Computerized databases are vital to the functioning of modern organizations. Businesses collect large amount of data on a daily basis. All this information is stored in databases. Organizing these data for ease of retrieval and maintenance is paramount. This course will focus on the fundamental concepts and techniques of modeling and designing relational databases. We will discuss why databases are used, and describe the main components of database management systems. Structured Query Language (SQL) statements used to define and process databases will be used. Using a wealth of sample databases and examples, students will gain skills to systematically solve basic and advanced problems in query formulation, data modeling, and normalization. Offered by School of Business. May not be repeated for credit.
Recommended Prerequisite: Admission to the Master of Science in Business Analytics program
Registration Restrictions:

Enrollment limited to students with a class of Advanced to Candidacy, Graduate, Junior Plus or Senior.

Students in a Non-Degree Post-Baccalaureate or Non-Degree Undergraduate degrees may not enroll.

Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.
MSBA 618: Programming for Business Analytics. 3 credits.
Python is one of the most popular tools used for business analytics. This course introduces students to solving a broad set of data analysis problems using the Python programming language. The course will cover programming fundamentals including variables, object types, loops, conditional statements, and functions. Next, a series of Python library packages are presented for business analytics which involve data loading, data structures, data manipulation and exploratory data analysis. The last portion of the course introduces geospatial analysis and machine learning techniques that cover prediction models and sentiment analysis. Offered by School of Business. May not be repeated for credit.
Recommended Prerequisite: Admission to the Master of Science in Business Analytics program
Registration Restrictions:

Enrollment limited to students with a class of Advanced to Candidacy, Graduate, Junior Plus or Senior Plus.

Students in a Non-Degree Post-Baccalaureate or Non-Degree Undergraduate degrees may not enroll.

Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.
MSBA 625: Exploratory Data Analysis and Visualization. 3 credits.
This course will provide students with an understanding of the principles of exploratory data analysis and visualization. Students will gain the ability to extract trends and understand data and be able to visualize findings effectively. Since Data Visualization is a core component of Business Analytics, students will think critically and learn the practical skills to communicate effectively using graphical results in order to drive decision making. Offered by School of Business. May not be repeated for credit.
Recommended Prerequisite: Admission to the Master of Science in Business Analytics program
Registration Restrictions:

Enrollment limited to students with a class of Advanced to Candidacy, Graduate, Junior Plus or Senior Plus.

Students in a Non-Degree Post-Baccalaureate or Non-Degree Undergraduate degrees may not enroll.

Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.
MSBA 639: Operations and Supply Chain Analytics. 3 credits.
Operations and supply chain analytics is the process of using data analytics and business intelligence to improve efficiency, and streamline various operations, supply chain, and logistics decisions. Efficient management of operations and supply chains requires effective applications of the concepts, tools and techniques that will be introduced in this course. The scope is broad, ranging from strategic operations and supply chain management issues to tactical and operational planning and control decisions. Several key areas will be covered in this course including process analytics, efficiency and productivity measures, capacity analysis, inventory control, information sharing, supply chain contracting, network management, transportation analytics, global logistics, omni-channel strategies, and supply chain risk management. Offered by School of Business. May not be repeated for credit.
Registration Restrictions:

Enrollment limited to students with a class of Advanced to Candidacy, Graduate, Junior Plus or Senior Plus.

Enrollment is limited to students with a major in Business Analytics.

Enrollment limited to students in a Master of Science degree.

Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.
MSBA 655: Retailing Analytics. 3 credits.
The retail industry is going through a phenomenal transformation. More retailers are relying on analytics to help manage product assortment decisions, loyalty programs, and in-store, online, and omni-channel environment in order to respond more effectively to changes in consumer behavior. This course teaches students to arrive at strategic retailing decisions using a data-driven approach. The course covers key retailing decisions such as loyalty program design and execution, market basket analysis, store location and trade area analysis, forecasting, and merchandising decisions. Offered by School of Business. May not be repeated for credit.
Recommended Prerequisite: Admission to the Master of Science in Business Analytics program
Registration Restrictions:

Enrollment limited to students with a class of Advanced to Candidacy, Graduate, Junior Plus or Senior Plus.

Students in a Non-Degree Post-Baccalaureate or Non-Degree Undergraduate degrees may not enroll.

Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.
MSBA 663: Pricing Analytics. 3 credits.
Firms need to find answers for various questions that arise in the context of pricing such as: Which sales channels should the firm use? How should a product be priced in different channels? How can the firm prevent cannibalization across channels? How should prices be adjusted throughout the season or after observing the initial demand? Pricing analytics and revenue management is concerned with having the right prices in place for all the products a firm sells, to all its customers, through all their channels, all the time and is a tactical decision. The most familiar example probably comes from the airline industry, where tickets for the same flight may be sold at many different fares throughout the booking horizon depending on product restrictions as well as the remaining time until departure and the number of unsold seats. Offered by School of Business. May not be repeated for credit.
Recommended Prerequisite: Admission to the Master of Science in Business Analytics program.
Registration Restrictions:

Enrollment limited to students with a class of Advanced to Candidacy, Graduate, Junior Plus or Senior Plus.

Students in a Non-Degree Post-Baccalaureate or Non-Degree Undergraduate degrees may not enroll.

Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.
MSBA 692: Practicum in Business Analytics. 3 credits.
This course provides a framework for approaching, successfully completing, and reflecting upon a professional field experience in business analytics. The course is designed for students who will complete a module-long internship to apply classroom knowledge of business analytics in his or her chosen field and to integrate this experience into the overall educational program. The internship must involve an average of 20 hours per week and be approved by the program director. Offered by School of Business. May not be repeated for credit.
Recommended Prerequisite: Admission to the Master of Science in Business Analytics program
Registration Restrictions:

Enrollment limited to students with a class of Advanced to Candidacy, Graduate, Junior Plus or Senior Plus.

Students in a Non-Degree Post-Baccalaureate or Non-Degree Undergraduate degrees may not enroll.

Schedule Type: Internship
Grading:
This course is graded on the Graduate Regular scale.
MSBA 697: Special Topics in Business Analytics. 3 credits.
This course explores contemporary issues and challenges in business analytics. Topics are not covered in the regular MSBA course offerings. Course content may vary each semester. The course may be repeated with change in topic. Offered by School of Business. May be repeated within the term for a maximum 9 credits.
Specialized Designation: Topic Varies
Recommended Prerequisite: Admission to the Master of Science in Business Analytics program.
Registration Restrictions:

Enrollment limited to students with a class of Advanced to Candidacy, Graduate, Junior Plus or Senior Plus.

Students in a Non-Degree Post-Baccalaureate or Non-Degree Undergraduate degrees may not enroll.

Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.

700 Level Courses

MSBA 738: Data Mining for Business Analytics. 3 credits.
Data mining—the art of extracting useful information from large amounts of data—is of increasing importance in today’s world. The amount of data flowing from, to, and through enterprises of all sorts is enormous, and growing rapidly. Businesses are trying to make effective use of the abundance of data to which they have access: to make better predictions, better decisions, and better strategies. Therefore, managers now need to know about the possibilities and limitations of data mining. This course will introduce data mining problems and tools to enhance managerial decision making. The students will learn how to ask the right questions and how to draw inferences from the data by using the appropriate data mining tools. The students will acquire hands-on experience on applying data mining methods using a data mining software. Offered by School of Business. May not be repeated for credit.
Recommended Prerequisite: Admission to the Master of Science in Business Analytics program
Registration Restrictions:

Enrollment limited to students with a class of Advanced to Candidacy or Graduate.

Students in a Non-Degree Post-Baccalaureate or Non-Degree Undergraduate degrees may not enroll.

Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.
MSBA 743: Business Forecasting. 3 credits.
Business forecasting is a common activity assisting managers to make informed decisions in a variety of business domains ranging from long range planning to estimating market demand, stock prices, production planning, labor requirements, and many others. This course addresses a variety of models and methods for producing forecasts based on business data with an emphasis on quantitative methods; focusing on time series and associative (regression) models. These techniques are demonstrated and implemented utilizing computer software. Offered by School of Business. May not be repeated for credit.
Recommended Prerequisite: Admission to the Master of Science in Business Analytics program
Registration Restrictions:

Enrollment limited to students with a class of Advanced to Candidacy or Graduate.

Students in a Non-Degree Post-Baccalaureate or Non-Degree Undergraduate degrees may not enroll.

Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.
MSBA 757: Prescriptive Analytics. 3 credits.
Data mining—the art of extracting useful information from large amounts of data—is of increasing importance in today’s world. The amount of data flowing from, to, and through enterprises of all sorts is enormous, and growing rapidly. Businesses are trying to make effective use of the abundance of data to which they have access: to make better predictions, better decisions, and better strategies. Therefore, managers now need to know about the possibilities and limitations of data mining. This course will introduce data mining problems and tools to enhance managerial decision making. The students will learn how to ask the right questions and how to draw inferences from the data by using the appropriate data mining tools. The students will acquire hands-on experience on applying data mining methods using a data mining software. Offered by School of Business. May not be repeated for credit.
Recommended Prerequisite: Admission to the Master of Science in Business Analytics program
Registration Restrictions:

Enrollment limited to students with a class of Advanced to Candidacy or Graduate.

Students in a Non-Degree Post-Baccalaureate or Non-Degree Undergraduate degrees may not enroll.

Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.
MSBA 795: Business Analytics Applied Capstone. 3 credits.
This course will provide students the framework to work on an applied business analytics project. The objective is for students to work on solving business problems that the client is facing through advanced data analysis. Students will work in groups to understand the business problem, break it down into meaningful questions, identify internal and external data needed to answer the questions, and engage in a data analytics exercise to propose actionable solutions. The course will involve active interactions with the client. Students will be expected to utilize all the knowledge and skills they have learnt in the earlier courses in the M.S. in Business Analytics program. After completion of this course, students can expect to have completed an applied business analytics project, which they can showcase on their resumes. Offered by School of Business. May not be repeated for credit.
Recommended Prerequisite: Admission to the Master of Science in Business Analytics program
Registration Restrictions:

Enrollment limited to students with a class of Advanced to Candidacy or Graduate.

Students in a Non-Degree Post-Baccalaureate or Non-Degree Undergraduate degrees may not enroll.

Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.