Selection of Courses Offered in Spring 2025
Although we feature a select number of classes below, you may also view a complete list of courses being offered this term. Be sure to look for classes that are affiliated with the Gabelli School of Business and search by the correct term. Here is how to search for classes:
- Select Spring 2025 as the term.
- Use code “GBA” to search for available graduate courses or “GSB” to search for available undergraduate courses.
- Once you have selected a course or multiple courses, fill out this form and submit for approval to be accepted.
We will verify your alumni status, confirm your seat with the professor, and request payment of $450 to secure your place. Once your fee is paid, we will provide full details of the class. The deadline to submit your form for approval is Friday, January 10, 2025. Once submitted, you should hear back in approximately five business days.
Below is a sampling of some of the most popular courses offered for Spring 2025.
ACBU-3445
Section E01
CRN: 41807
Corporate and Partnership Taxation
Professor Stanley Veliotis
Day/Time: Thursdays, 6:30PM - 9:15PM
Course Meets: January 13, 2025 - May 17, 2025
Location: Rose Hill Campus
Undergraduate Business Course
This course provides in-depth coverage of special issues relating to the taxation of corporations ("C" and "S") and partnerships, along with a general review of tax issues related to international/states, estates and trusts, and tax-exempt entities.
Prior coursework should include: ACBU 3442: Individual and Business Taxation
TXGB 7050
Section 001
CRN: 47910
State and Local Taxes
Professor Dale Y. Kim
Day/Time: Thursdays 8PM-10PM
Course Meets January 13, 2025 - May 12, 2025
Location: Online
Graduate Business Course
Discusses the basic elements of state and local taxes, and surveys the distinctive tax characteristics of major business states, such as New York, New Jersey, Illinois and California.
Prior coursework should include: TXGB 7001: Corporate Taxation
BLBU 3456
Section R01
CRN: 48081
DEI and Constitution Law for Business
Professor Kevin Jackson
Day/Time: Tuesdays 2:30PM - 5:15PM
Course Meets: January 13, 2025 - May 17, 2025
Location: Rose Hill Campus
Undergraduate Business Course
The course centers on the U.S. Constitution, exploring the interface between diversity, equity, and inclusion initiatives and the legal and moral issues they pose for business. The course provides principled frameworks that enable students to engage in legal, moral, political, economic, and cultural debate in a balanced, professional, and non-ideological way. Open exploration and discussion of opposing viewpoints on DEI-related constitutional questions are fostered through the critical examination of alternative philosophical frameworks, consideration of various interpretive approaches to law, and practical application of relevant legal doctrines and moral theories to real-world dilemmas and challenges arising in today’s business contexts.
Prior coursework should include: BLBU 2234: Legal Framework of Business
BLBU 4449
Section R01
CRN: 41744
Sports and the Law
Professor Mark Conrad
Day/Time: Mondays and Thursdays 4PM - 5:15PM
Course Meets: January 13, 2025 - May 17, 2025
Location: Rose Hill Campus
Undergraduate Business Course
Hardly a day goes by when sports and law do not make news. Professional and amateur sports have attained great importance in American society. Concomitant with this growth are the increasing number and complexity of legal issues in sports. This class will discuss the major legal issues involving the sports industry. Included are labor-management relations, free agency, professional and amateur league governance, agents, contracts, antitrust, personal injury law, discrimination, broadcasting, Internet. This class will discuss and analyze the applicable rules, both internal and governmental, governing the amateur and professional sports industries and the controversies and policy considerations surrounding those rules. This course may be the only one where students will been couraged by a professor to read Sports Illustrated.
CMGB 75AA
Section 001
CRN: 46355
Media Executive Playbook
Professor Russell G. Fink
Day/Time: Wednesdays 5:45PM - 7:45PM
Course Meets: January 13, 2025 - May 5, 2025
Location: Lincoln Center Campus
Graduate Business Course
This course will take an in-depth look at the strategies, plans, and programs developed and implemented by media industry executives to help their businesses survive and thrive in an increasingly changing and competitive media industry environment. The course will include case studies, topic-specific projects, and reviews of current industry trends, issues, and opportunities. Media industry executives and subject matter experts will be asked to guest lecture certain classes to provide a practical perspective about how to address and solve industry challenges. The class will look at the business’ audience and marketplace dynamics, content offerings, media distribution and delivery platforms, branding, marketing, business models, and operations. We will also review how a business’ mission, vision, strategic plan, goals, strategies, priority initiatives, operating plans, financials, etc., create a successful business. The course includes lectures, discussion and guest speakers along with current articles and other readings, video materials, and digital sources. Whenever possible, the course draws on Fordham’s unique setting in New York City, the media capital of the world.
FNGB-74DA
Section 001
CRN: 51603
AI in Cybersecurity
Professor Anthony M. Palma
Day/Time: Wednesdays 5:45PM - 7:45PM
Course Meets: January 13, 2025 - May 12, 2025
Location: Lincoln Center Campus
Graduate Business Course
This course teaches students how to use artificial intelligence (AI) as a cybersecurity tool to reduce breach risks and improve security postures efficiently and effectively. AI is used throughout the business world through predictive analytics, self-driving cars, chatbots, assistant-enabled homes, and military organizations. It is also used in cybersecurity. AI is a critical technology in information security, able to quickly analyze millions of events and identify many different types of threats, from malware exploiting zero-day vulnerabilities to risky behavior that might lead to a phishing attack or download of malicious code. Topics will include the evolution of cyber threats, understanding AI in cybersecurity, AI vs. data analytics, types of AI-based attacks, adversarial machine learning, deep fake attacks, AI-powered malwares, and future challenges and trends. Cybersecurity experts will also speak on their experiences using AI as a successful tool against threats.
FNGB-74BN
Section 001
CRN: 47958
Investor Relations
Professor Anthony M. Palma
Day/Time: Wednesdays 8PM - 10PM
Course Meets: January 13, 2025 - May 12, 2025
Location: Lincoln Center Campus
Graduate Business Course
Corporate Investor Relations program formulates and communicates the financial performance and strategic direction of diversified corporations to the global investment community. Investor Relations professionals are well versed in accounting, compliance, finance, governance, marketing and communications. They collaborate with senior management and the Board of Directors to convey and interpret corporate matters to the public. This course will teach students the skills and competencies required to become a corporate Investor Relations professional. The course utilizes a course textbook, case studies, investor relations guest speakers and participation in investor relations events.
Prior coursework should include: FNGB 6411: Intro Financial Sys & Methods.
FNBU-4468
Section L01
CRN: 42563
Healthcare Finance
Professor Jonathan Reese
Day/Time: Tuesdays 5:45PM -7:45PM
Course Meets: January 13, 2025 - May 17, 2025
Location: Lincoln Center Campus
Undergraduate Business Course
This course will present a historical development of the American healthcare system and will address the current challenges faced by both health insurers and providers, specific to managed care, reimbursement methods, and contracting. Students will learn to apply the standard tools of financial analysis and financial management in the complex and evolving setting in which the global healthcare system is currently situated. Students will also learn how to analyze the key financial indicators specific to hospitals and their direct application towards managed care contracting initiatives, debt restructure and bond rating status.
Prior coursework should include: FNBU 3221: Financial Management
AIGB-6205
Section 001
CRN: 51346
Artificial Intelligence
Professor Wullianallur R. Raghupathi
Day/Time: 8PM-10PM
Course Meets: January 13, 2025 - May 12, 2025
Location: Lincoln Center Campus
Graduate Business Course
The goal of this course is to acquaint you with the objectives and methods of researchers and practitioners in artificial intelligence. This course will explore numerous aspects of computational models of intelligence, including search and problem solving, planning, machine learning, reasoning, knowledge representation, robotics, natural-language processing, speech recognition, vision, cognitive science, and expert systems.
AIGB-6206
Section 001
CRN: 45837
Machine Learning for Business
Professor Michael A. Deamer
Day/Time: Mondays 5:45PM - 7:45PM
Course Meets: January 13, 2025 - May 12, 2025
Location: Lincoln Center Campus
Graduate Business Course
We will discuss machine learning techniques and their use in strategic business decision-making. This is a hands-on course that provides an understanding of the key methods of data selection, exploration, association, classification, prediction, nearest neighbors, neural networks, and others.
Prior coursework should include: AIGB 6200: Python Proficiency or AIGB 6201:Python for AI Bootcamp or ISGB 7943: Programming with Python
ISGB-7943
Section 001
CRN: 45831
Programming with Python
Professor Michael A. Deamer
Day/Time: Tuesdays 5:45PM - 7:45PM
Course Meets: January 13, 2025 - May 12, 2025
Location: Lincoln Center Campus
Graduate Business Course
This introductory course covers the fundamentals of programming in Python. Through lectures, hands-on coding exercises and assignments, as well as a project, students will gain a solid understanding of Python syntax, data structures, control flow, functions, and essential packages used in business applications and data analysis.
LPGB-7610
Section 001
CRN: 46379
Leadership and Change
Professor Michael P. Williams
Day/Time: Tuesdays 5:45PM - 7:45PM
Course Meets: January 13, 2025 - May 12, 2025
Location: Lincoln Center Campus
Graduate Business Course
Prepares students to meet the requirements of today's economy, where leadership demands a combination of personal capabilities and insights, as well as in-depth knowledge of organizational change processes and practices. Through readings, cases, class discussions, self-assessment exercises, and leader-directed learning projects, participants gain important insights into their own management style and develop essential knowledge and skills for successful implementation of major change initiatives.
LPGB-7637
Section 001
CRN: 48053
Entrepreneurial Mindset
Professor Dennis M. Hanno
Day/Time: Thursdays 5:45PM - 7:45PM
Course Meets: January 13, 2025 - May 12, 2025
Location: Lincoln Center Campus
Graduate Business Course
This is a non-traditional entrepreneurship course based on experiential learning: learning by doing. It is an introductory course that enables students to discover and grasp the nuances of entrepreneurship, and in particular, how to think, feel, and act like an entrepreneur. At a high level, students will be introduced to the risks and rewards, as well as the challenges and opportunities, of entrepreneurship and being a change agent; however, the emphasis will be on developing the framework of a new venture—from identifying and building out an idea to delivering an impactful pitch.
MKGB-879E
Section 001
CRN: 46284
Luxury Marketing
Professor Adam J. Gam
Day/Time: Tuesdays 5:45PM - 7:45PM
Course Meets: March 11, 2025 - April 29, 2025
Location: Lincoln Center Campus
Graduate Business Course
This course will provide excellent support for those planning a career in luxury marketing, brand management, retailing and distribution and communications. It covers areas such as history and trends of the luxury sector; marketing of luxury goods and services; strategy evaluation for luxury businesses; luxury consumer behavior, luxury product and brand management; luxury marketing communications and retailing and channel management within the luxury sector.
Prior coursework should include: MKGB 6710: Responsible Marketing Management or GBA Waiver Marketing Mgmt with a score of 070.
MKGB-7755
Section 001
CRN: 46257
Integrated Mktg Comm
Professor Jackelyn A. Keller
Day/Time: Thursdays 5:45PM - 7:45PM
Course Meets: January 13, 2025 - May 12, 2025
Location: Lincoln Center Campus
Graduate Business Course
This course analyzes the planning, execution, and measurement of advertising campaigns, with a focus on developing ad campaigns and media planning that maximize consumer engagement. Topics include the role of advertising in the marketing mix, tools, techniques and processes used in creating advertising strategy, media planning, legal issues and ethical considerations in advertising. An emphasis is placed on creative ways to foster awareness and maintain consumer involvement through digital media platforms and other marketing tools. MKGB 7720 (or MKGB 6720) is suggested as prior coursework.
Prior coursework should include: MKGB 6710: Responsible Marketing Management or MKGB 6711:Marketing in the Digital Age or GBA Waiver Marketing Mgmt with a score of 070
MKGB-7765
Section 001
CRN: 51606
Sales Management
Professor Ancy K. Joseph
Day/Time: Mondays 5:45PM - 7:45PM
Course Meets: January 13, 2025 - May 12, 2025
Location: Lincoln Center Campus
Graduate Business Course
Focuses on personal selling and salesforce management in the context of large and small organizations. Examines the sales process and its relationship to overall marketing strategy, evaluation of salesforce performance and the function of sales manager. Explore such topics as sales planning, forecasting as well as recruiting, selecting, motivating and compensating a salesforce.
Prior coursework should include: MKGB 6710: Responsible Marketing Management or GBA Waiver Marketing Mgmt with a score of 070
MKGB-8709
Section 002
CRN: 46011
Digital Marketing Analytics
Professor Ankur Jaluria
Day/Time: Tuesdays 5:45PM - 7:45PM
Course Meets: March 11, 2025 - April 29, 2025
Location: Lincoln Center Campus
Graduate Business Course
Provides students with a hands-on experience with using various analytical methods and tools to explore digital marketing, including social media marketing and google analytics.
Prior coursework should include: MIGB 6710 (may be taken concurrently): Responsible Marketing Management or MKGB 6710: Responsible Marketing Management or GBA Waiver Marketing Mgmt with a score of 070
SABU-4431
Section L01
CRN: 45709
Blockchain Ind Disruptor
Professor Benjamin M. Cole
Day/Time: Thursdays 5:45PM - 7:45PM
Course Meets: January 13, 2025 - May 17, 2025
Location: Lincoln Center Campus
Undergraduate Business Course
Blockchain (the technology underlying Bitcoin and Ethereum) is a transformative technology that will up-end existing industries and spawn completely new ones. In this course, students will study the fundamentals of blockchain and examine its potential impact on industries as diverse as banking, energy, music and non-profits.
SABU-4430
Section L01
CRN: 42585
Machine Learning Strategy
Professor Nancy F. Wu
Day/Time: Wednesdays 5:45PM - 7:45PM
Course Meets: January 13, 2025 - May 17, 2025
Location: Lincoln Center Campus
Undergraduate Business Course
To achieve a competitive advantage, managers need to make certain decisions about activities along their value chains. This course tries to help students (i.e., future or current managers) understand how they can use machine learning (ML) techniques for such decisions. While ML is a vast and rapidly evolving domain, the underlying logic and concepts are well identified. Therefore, to make the best use of our time, we not only cover the current techniques and applications of ML but also its fundamental concepts rooted in statistics. This approach will give students the necessary tools to teach themselves as they enter the job market and ML evolves. Students are not expected to be expert statisticians, but a basic understanding of statistics will be helpful. A willingness to learn and explore beyond class would make a significant difference in students’ learning journeys. The course covers both the theory and application of ML using conventional lectures, lab sessions, case studies, web-service platforms (involving Amazon Web Services, Azure, etc.), and guest lectures by pioneering adopters of ML from the industry.