BAN 6000 - Information Systems Management
Course Restriction: Restricted to Graduate Students.
This course covers concepts, methodologies, and frameworks related to leading and managing the information systems functions in the organization. Topics include information systems strategic planning, acquiring information systems, and managing information systems projects and related issues in modern organizations.
Credit: 3
BAN 6100 - Spreadsheets for Business Analytics
Course Restrictions: Restricted to Graduate Students.
Spreadsheet tools like Excel are an essential tool for working with data - whether for data analytics, business, marketing, or research. This course is designed to give you advanced working knowledge of Excel and how to use it to prepare, clean, and analyze data.
Credit: 3
BAN 6200 - Business Analytics for the Big Data Revolution
Course Restriction: Restricted to Graduate Students.
This course provides you with the fundamental theories, concepts, and tools to understand the emerging role of Business Analytics in modern organizations, apply visualization techniques, and communicate with analytics professionals to effectively use and interpret analytic models and results for making better business decisions.
Credit: 3
BAN 6300 - Data Wrangling with SQL
Course Restrictions: Restricted to Graduate Students
Much of the world's raw data—from electronic medical records to customer transaction histories—lives in organized collections of tables called relational databases. Being able to wrangle and extract data from these databases using SQL is an essential skill within the Business Analytics profession and is in increasing demand. Topics in this course include data organization, tables, and best practices for database construction. Students also learn how to write queries to extract, sort, filter, clean, and manipulate data using SQL.
Credit: 3
BAN 6400 - Data Mining for Big Data Analytics
Course Restriction: Restricted to Graduate Students.
Big Data is the driver of the new digital economy. In this course, you will gain a better understanding of both well-established and cutting-edge methodologies, algorithms, techniques, and tools being employed to clean, prepare, and mine large volumes of data to extract meaningful business insights.
Credit: 3
BAN 6450 - Network Analytics
Course Restrictions: Restricted to Graduate Students.
Network analytics is used in the study of diverse structures such as the internet, interlocking directorates, transportation systems, epidemic spreading, metabolic pathways, web graphs, electrical circuits, and project plans. This course focuses on the methodological foundations which have become a prerequisite for researchers and practitioners working with network models.
Credit: 3
BAN 6500 - Methods in Project Management
Course Restrictions: Restricted to Graduate Students.
This course combines project management topics with modern methods of software support. You will learn about initiating, planning, executing, monitoring/controlling, and closing processes of predictive project management. You will also learn about Agile project management methodology and related processes.
Credit: 3
BAN 6550 - Big Data
Course Restrictions: Restricted to Graduate Students.
This course covers methods for the design, implementation, and management of Big Data analytics. It focuses on technologies and modeling methods for large-scale, distributed analytics. Upon successful completion of the course, you will become familiar with the fundamental concepts of Big Data management, recognize challenges, and understand how Big Data impacts Business Analytics, including proposing scalable solutions for organizations.
Credit: 3
BAN 6600 - Scripting for Business Analytics
Course Restrictions: Restricted to Graduate Students.
This course covers the use of scripting languages, such as Python or R, for data analysis and manipulation. You will learn how to import, clean, manipulate, analyze, and visualize data using scripting languages. Upon completion of this course, you will have an understanding of the use of scripting languages for data analysis and be equipped with a valuable and in-demand skill for your future career.
Credit: 3
BAN 6650 - Marketing Analytics
Course Restrictions: Restricted to Graduate Students.
In this course, you will gain an understanding of marketing analytics and its fundamental concepts. You will learn common methods used by marketers and learn how analytics plays a key role in digital marketing. You will explore how data are collected and analyzed for marketing purposes, as well as the privacy regulations that govern the online marketing space. By the end of the course, you will have the skills to tackle common challenges in working with marketing data and be equipped to make data-driven decisions.
Credit: 3
BAN 6910 - Special Topics in Business Analytics
Course Restrictions: Restricted to Graduate Students.
This special topics course addresses specialized and contemporary issues within the Business Analytics field of study.
Credit: 3
BAN 6990 - Internship
Prerequisite: At least a 2.7 GPA for undergraduate level and a 3.0 for graduate
Course Restrictions: Restricted to Graduate Students.
Internships provide applied, experiential learning opportunities so you can make connections between academic study and the practical application of that study in a professional work environment. Academic internships are supervised by a faculty member and an on-site professional supervisor. All academic internships must be approved in advance by the department or program. Unless stipulated otherwise by the department or program, credit hours are defined by the university's credit hour policy. Internships may be repeated for a total of 9 credit hours.
Credit: 3
BAN 6997 - Directed Readings in Business Analytics
Course Restrictions: Restricted to Graduate Students.
Repeatable for up to 6 credits if content has changed.
Directed individualized topics. Course content will vary as set forth in an approved syllabus. May be repeated when the content has changed.
Credit: 3
BAN 7000 - Integrated Capstone
Prerequisites: Complete all Core Courses and at least two Elective Courses under the Master of Science in Business Analytics program.
Course Restrictions: Restricted to Graduate Students.
This capstone course provides you with an opportunity to apply your knowledge and skills in business analytics to a real-world problem. Through teamwork and collaboration, you will work on a project that requires analyzing data, identifying insights, and presenting findings. This course will prepare you to be strategic thinkers and problem-solvers and provide you with valuable experience in working with data in a business context.
Credit: 3