Courses
CY 629 ETHICAL HACKING 3.0 Credit(s)
This course introduces students to the security threat of computer hacking and system vulnerabilities and exploits. The course will introduce techniques and hacking skills that black-hat hackers use to compromise systems. The class will teach students how to perform white-hat hacker and ethical hacking techniques to safeguard a computer network. Prerequisite: Take CY-622
Offered: Fall & Late Spring Semesters All Years
CY 639 VULNERABILITY MANAGEMENT 3.0 Credit(s)
This course will provide lectures on vulnerability and compliance management for multiple systems and perform hands-on experience with Tenable Nessus (one of the industry-leading vulnerability and compliance scanning tools). It will provide students with a working knowledge and understanding of vulnerability and compliance management, and expose students to new system and application vulnerabilities that are identified on a daily basis and demonstrates the techniques for managing them. The purpose of this course is to teach students how to identify vulnerabilities, plan to remediate them, and track to make sure they do not return. Prerequisite: Take CY-626
Offered: Spring & Late Spring Semesters All Years
HR 618 HR AND SOCIETY 3.0 Credit(s)
This course explores the intersection of human resource management (HRM) and society, examining how HRM practices are shaped by and influence societal trends and forces. Students will gain a comprehensive understanding of the role of HR in interacting with various stakeholders such as employees, customers, institutions, and the entire society while addressing contemporary social issues such as diversity, equity, and inclusion (DEi), employee and labor relations, technological advancement, workforce demographics, organizational ethics, and corporate social responsibility (CSR) or ESG.
Offered: Late Spring Semester All Years
BUAN 681 FOUNDATIONS OF FINTECH 3.0 Credit(s)
The objective of the course is to learn about FinTech - the technologies that are disrupting traditional financial services - and how it is changing areas such as mobile payments, trading, lending, capital markets, and asset management. The course will survey emerging issues in FinTech, enabling students to understand key transformations happening in the financial services industry and the trends that will impact the industry in the future.
Offered: All Semesters All Years
BUAN 683 AI AND FINTECH IN FINANCIAL MARKETS 3.0 Credit(s)
Course Title - Artificial Intelligence and Financial Technology in Financial Markets. We will cover a variety of applications of AI and Fintech in the financial markets, including streamlining credit and loan transactions, automating and personalizing financial services, predictive analysis for investment and risk management, fraud detection and regulatory compliance, as well as direct and cost-effective fundraising. Students will create their own crowdfunding projects through ICOs and NFTs.
Offered: All Semesters All Years
BUAN 684 MACHINE LEARNING IN FINANCE 3.0 Credit(s)
This course is focused on the subsequent financial use cases: Risk management, credit scoring, fraud detection, unstructured big data insights (NLP), consumer sentiment, social finance and product evaluation. In addition to supervised (e.g., classification and prediction) and unsupervised (e.g., clustering) machine learning, students will gain knowledge of causal machine learning and apply it to solve problems associated with the aforementioned use cases.
Offered: All Semesters All Years
BUAN 682 DIGITAL CURRENCIES: BLOCKCHAIN & CRYPTO 3.0 Credit(s)
Course Title - Digital Currencies: Blockchain and Cryptocurrency We will cover the mainstream blockchain-based digital currencies (e.g., Bitcoin, Ethereum, and Uniswap), stable coins (e.g., MakerDAO, USDT, etc.), as well as Non Fungible Tokens (NFT). We will also discuss the Central Bank Digital Currency (CBDC) and its interdependency with blockchain technology. We will focus on the financial aspects of digital currencies, including valuation, trading, liquidity, investment, collection, and regulation. Students will create their own digital currencies.
Offered: All Semesters All Years
CS 649 STATISTICS FOR DATA SCIENCE 3.0 Credit(s)
This course provides the necessary skills to successfully navigate through the Data Science track. Topics include: data sampling, tendency and distribution of data, hypothesis testing, variations, regression and probability
BU 691 AI CAPSTONE 3.0 Credit(s)
This course equips students with the ability to use AI and ML principles and algorithms, which they have learned in previous semesters, to solve a business challenge or problem of their choice. The chosen topic or problem must be approved by the instructor. This course specifically equips students with the requisite technical expertise and tools, including no code or low code solutions, to effectively address a business challenge in a data-driven way.
Offered: All Semesters All Years
BU 690 INTRODUCTION TO AI 3.0 Credit(s)
This course covers the essential elements and model areas of Artificial Intelligence and the application of AI in business.
Offered: All Semesters All Years
BU 692 IMPACT OF AI ON INNOVATION 3.0 Credit(s)
The impact of AI on innovation is not just in its technological advancements but also in its ability to reshape industries, economies, and societal norms, underscoring the importance of navigating its development and application responsibly. AI is contributing to the creation of entirely new categories of products and services, such as autonomous vehicles, smart home devices, and personalized content recommendations, enhancing consumer experiences and creating new markets. However, the integration of AI into innovation processes also presents challenges, including ethical considerations, the potential for job displacement, and the need for regulatory frameworks. As AI becomes increasingly sophisticated, ensuring that innovation remains human-centered and benefits society as a whole is crucial.
Offered: All Semesters All Years
MFIM 653 PREDICTIVE ALGORITHMS IN FINANCE 3.0 Credit(s)
This course covers a variety of methods used for predicting the behavior of assets, as well as complete portfolios. We will cover traditional methods ranging from the Capital Asset Pricing Model and its offshoots, to Factor Modeling and Portfolio Simulation, as well as more recent innovations under the broad headings of "Machine Learning" or "Artificial Intelligence". Students will learn how modeling future behavior almost always depends critically on analyzing data, as well as hands on techniques for turning that data into reliable hints about what may happen in the future. Prerequisite: Take MFIM-636 MFIM-640
Offered: Late Spring Semester All Years
WGB 692 INTERNATIONAL CONSULTING PROJECT 3.0 Credit(s)
This course serves as the international capstone experience for the MBA program. Working in teams, students partner with an organization operating outside of the U.S. to address a real-world strategic challenge. Throughout the course, students apply management frameworks, international business knowledge, and case-based learning to deepen their leadership skills and deliver integrative, high-impact recommendations. The experience culminates in a one-week international trip, where students present their final project to the client's executive team on site. **Students can choose between this course and WBG691 to satisfy the capstone requirement of the MBA program. **
Offered: All Semesters All Years
MGT 681 STRATEGIC ENTREPRENEURSHIP 3.0 Credit(s)
Strategic Entrepreneurship examines how individuals, teams, and organizations discover and shape opportunities, design innovative business models, and make strategic choices to create value and sustain competitive advantage. The course integrates entrepreneurship and strategy, emphasizing both new venture creation and entrepreneurial initiatives within existing firms. Students will analyze how entrepreneurs and managers align resources, capabilities, and strategic intent to navigate uncertainty, generate value, and drive growth. Through case discussions and a hands-on venture project, students will apply theory to practice, building the skills to craft entrepreneurial strategies across different contexts.
Offered: Late Spring Semester All Years
NU 700 THEORETICAL COMPONENTS OF NURSING SCI. 3.0 Credit(s)
This course investigates the study of knowledge shared among members of the nursing discipline, the patterns of knowing and knowledge development, criteria for evaluating knowledge claims, and the philosophy of science. The nature of theory, theory development in nursing, and significant conceptualizations of nursing are discussed. Through guided search and discussion, doctoral students will become knowledgeable about the utilization of theory to guide practice.
Offered: Fall, Spring & Summer Sems All Years