Business Administration (BSAD)
Discover, search, courses!
BSAD 400E Business Foundations (1.5 Credit Hours)
Enrollment limited to students enrolled in the EMBA or EMBA Health Care Management Programs. Introductory course delivered during initial residency/orientation week to lay foundation for business education in the EMBA and EMBA Health Care Management Programs. Course coverage includes: Jesuit traditions/values, Quantitative Methods, Business Communications, and current topical lecture.
BSAD 401E Effective Business Writing Workshop (0.75 Credit Hours)
Enrollment is restricted to the Executive MBA or Executive MBA Health Care Management program. This course introduces the fundamentals of good written and oral business communications. Course topics include: communicating strategically; making a business case (argumentation and persuasion); presenting data effectively; producing and delivering compelling PowerPoint presentations; and delivering a powerful presentation.
BSAD 402E Effective Business Presentation Skills Workshop (0.75 Credit Hours)
This course introduces the fundamentals of good oral business communications. Course topics include: presenting data effectively; producing and delivering compelling PowerPoint presentations; and delivering powerful presentations. Restricted to students enrolled in EMBA or MBA Health Care Management cohort
BSAD 409E Integrative Strategy (1.5 Credit Hours)
Enrollment is restricted to students in the Executive MBA Program. Integrates functional area considerations with strategic decision-making at the end of the program.
BSAD 499E Special Topics (1.5 Credit Hours)
Enrollment is restricted to students in the Executive MBA Program. Offers students opportunity to gain additional understanding on a special business topic not otherwise covered in the standard EMBA curriculum. The subject and content vary and are offered on an ad hoc basis.
Students will demonstrate understanding of specialized topics not otherwise covered in EMBA curriculum
Outcomes
Students will demonstrate understanding of specialized topics not otherwise covered in EMBA curriculumBSAD 601E Special Topics (1.5 Credit Hours)
Restricted to Executive MBA students. Scheduled classes are offered on an ad hoc basis. Specific titles, prerequisites and content will vary.
Students will be able to demonstrate understanding of specialized topics not otherwise covered by department regular course offerings
Outcomes
Students will be able to demonstrate understanding of specialized topics not otherwise covered by department regular course offeringsBSAD 609E Integrative Strategy (1.5 Credit Hours)
Restricted to Executive MBA students. Integrates holistic and humanistic concepts (social justice, sustainability, greater good, Jesuit perspectives, etc.) into scientific business management and one's individual lifestyle. Students apply these perspectives by addressing recent developments in emerging topics. In addition, students will present final Capstone project.
BSAD 699 Capstone Master of Business Data Analytics (3 Credit Hours)
Course is restricted to the MSBDA students. The capstone course is the last class students take in the MS Business Data Analytics program. As such, it asks students to integrate all the knowledge and skills they've developed in the foundation and elective courses, and to apply their efforts to solve a real-world business problem. The Capstone Project Coordinator will work with a set of host companies to identify projects that are suitable for students enrolled in the capstone course.
Students completing this course will: 1) Gain a deep understanding of some of the tools and software that are used in modern-day analytics; 2) Learn how to transform large data sets into insightful and actionable information in an easy-to-understand format to assist organizational decision-making through the use of advanced analytical tools; 3) Learn how to evaluate the appropriate methods and tools for data analysis in specific organizational contexts, including selecting a modeling approach, building a model using appropriate tools, validating the model, and deploying the model for prediction and analysis; 4) Acquire experience tackling industry-specific problems and challenges using advanced analytics and computational methods