Principled Leadership & Ethics

Course focuses on both law and ethics in the business environment, how individuals and organizations approach law and ethics, as well as the ethical, legal and social consequences of disregarding law and ethics in favor of other objectives. The ethical framework introduced in this course is based upon Scriptural principles and serves as the foundation for each MBA course.

Managerial Economics

In today’s highly-competitive environment, managers must understand how economic forces affect their business and the factors that should be considered when making both effective and ethical business decisions. Thus in this course, MBA students will study and apply significant micro/macroeconomic principles to real-world case studies and business decisions. Moreover, proven analytical tools will be explored and deployed in the decision making process for the firm and their stakeholders. In short, Managerial Economics is designed to equip MBA students with a thorough and applied knowledge of essential economic concepts, integrated within an ethical framework, for making value added business decisions.

Leadership & Change

Explores classic and contemporary models of leaders and leadership and defines the difference between management and leadership. Practical applications of theory emphasizing the contingency perspective. The focus will be upon applied organizational change by covering organizational behavior from a normative, policy-oriented perspective. The perspective will be one of viewing the person (student) as an actual or potential change agent; a consultant (internal or external), innovative personnel specialist, or middle or top level manager.

Management Accounting

The objective of this course is to develop an understanding of the various ways in which accounting information is used by management to make critical, strategic and managerial decisions, (e.g., product pricing, line extensions, ABC) and to evaluate operating performance (e.g., EVA and balanced scorecard). Students discuss methods of distilling key financial information, as well as motivating and aligning management to pursue what is in the firm’s best interests. Case based.

Corporate Finance

Introduces the structure, markets and regulatory factors within the financial system. Develops skills in preparing financial plans/budgets, valuing capital costs, financial assets and evaluating the firm’s capital structure, cost of capital, working capital, dividend policies, financing and investment decisions. Case Based.

Corporate Finance

Analysis of effective and efficient flow of materials, products, services, and information within and across organizations. Includes: process flow analysis, capacity planning, quality, lean supply chain, layout, aggregate planning, supply chain networks, inventory management, sourcing, ERP, and logistics planning. Finally, students connect to recent developments such as lean or world-class manufacturing, just-in-time operations, time-based competition, and business re-engineering. Case Based.

International Business

This course trains students to take a domestic product and expand it into international markets successfully. Market selection, international market research issues, foreign entry strategies, local tailoring versus global economies of scale, global value chain, implementation issues, knowledge transfer and collaborations are discussed, as well as financing issues such as sources of capital available to multinational firms, analysis of foreign investment opportunities, and currency risk management. Case and simulation based.

Marketing Strategy

Combining elements of product development, product launch planning, and product management, this course views the product manager or marketer as a generalist with responsibility for the multifunctional, multidisciplinary approach required for the development, launch, and ongoing management of successful products. Includes market orientation, consumer and industrial buyer behavior, market segmentation, target market identification, product development, pricing, distribution channels, marketing communication, strategy development, and marketing planning and control. Case and simulation based.

Project Management

Covers both strategic and operational points of view for managing projects. Quantitative methods include project planning, budgeting, selection, scheduling, evaluation and control. Qualitative methods include project organization, staffing and team building.

Project Management

Examines the growth and nature of entrepreneurship and the support infrastructure of tasks, people, finances and technology. Emphasizes entrepreneur characteristics sought by venture capitalists and investors, role of the business plan and evolutionary stages of start-up activity.

Innovation & Technology

This course provides an in-depth introduction to global leadership and its development and to fostering innovation and global change. Through assessments and behavioral simulations, it prepares students to do global work effectively in a complex context with people from various cultures. Develops technology strategies through a qualitative (scenario and strategy map-based) and a quantitative (decision analysis and option theory-based) approach for technology portfolio planning and management. It provides practical, stimulating, and easy-to-use methods for realistic applications.

Applied Entrepreneurship Project I

Consulting Project I is the capstone practicum course in the MBA program. This course provides an opportunity for second year MBA students to gain applied consulting experience while providing a valuable service to the business community. Students work in teams of three to five business students on significant business issues under the guidance of their business professors and faculty mentor.

Applied Entrepreneurship Project II

Consulting Project II is the capstone practicum course in the MBA program. This course provides an opportunity for second year MBA students to gain applied consulting experience while providing a valuable service to the business community. Students work in teams of three to five business students on significant business issues under the guidance of their business professors and faculty mentor.

Strategic Planning

This course covers how to convert the vision of executive intuition into definitive plans that can be operationally implemented and provides opportunity for practice and experimentation in strategy formulation. Strategy support systems are used to assist in making the transition from a change- resistant operational approach to a future-oriented approach characteristic of strategic thinking. This class is to be taken in the last semester. Case and project based.

Web Stack

This is a practical introduction to web construction from the frontend to the backend. This is usually referred to as fullstack development. In this course JavaScript is the language for both frontend and backend development. Students will be exposed to different web architectures and frameworks. JavaScript on the frontend will be used for high interactivity while JavaScript in the backend will interact with the environment – files and databases, and other sites.

Mobile Computing

An introduction to mobile computing with a strong emphasis on application development for the Android operating system. This course covers software mobile application development, its architecture and lifecycle, as well as its inherent design considerations. Students will learn about mobile resources, activities, views, layouts, and intents in addition to interacting with the location based services, messaging services, multimedia interfaces, and sensors available on the mobile device. Topics will include the Android development environment, user interfaces, activities, intents, content providers/ content resolvers, services, broadcast receivers, persistence, MBaaS, location, sensors, graphics, and other Android features, tools, and capabilities.

Computer Networking

Introduction to wired/wireless network principles, organization, topologies, hardware, applications, and protocols in the context of the Internet protocol stack. Configuration and implementation of local area networks and intranets. Utilization of Internet protocols, packet forwarding, and routing. Use of Wireshark for hands-on interaction with network protocols.

Software Engineering

This course focuses on providing software development skills, systems engineering, customer collaboration, and management skills necessary for leadership in software engineering. It examines the life-cycle development of software systems and the development models including such emerging trends as software-intensive systems of systems, high assurance, agile methods, COTS integration, mobile and distributed network-centric architectures, and rapid software development and evolution. The program includes experience in real-client class projects and evaluation assignments. Performance engineering and metrics are discussed.

Operating Systems

This course examines the four main abstractions for an operating system. These are process, memory, storage and network programming. A number of practical simulations on these four abstractions are examined. For process abstraction topics on threads, multiprocessing and distributed processing are distributed.

Data Structures & Algorithms

Provides the core principles of computer science: algorithmic thinking and computational problem solving. Techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics include divide-and conquer, randomization, dynamic programming, incremental improvement, and complexity.

Database Systems

Provides the concepts and theory of database management systems. Topics include database system architectures, data models, query languages, conceptual and logical database design, physical organization, and transaction management. The entity-relationship model, relational model and object models are examined.

Mathematical Methods

Machine learning and AI are built on mathematical principles like Calculus, Linear Algebra, Probability, Statistics, and Optimization. This course covers the required mathematical methods used within the field. The course provides a practical hands-on approach to working with data and applying the mathematical techniques. Topics include linear algebra, multivariate calculus, eigenvalues and eigenvectors, Principal Component Analysis (PCA), a fundamental dimensionality reduction technique and other relevant topics within Computer Science.

Cryptograph

This course focuses on the mathematical and programming techniques involved in secure information and communication techniques. This is a hands-on approach. This means learning how to program and use these deterministic algorithms. The necessary mathematical methods based on number theory are discussed.

Data Science

This is an introductory class on the use of R for doing Data analysis, Modeling/statistics and prototyping. The focus in on techniques for data analysis and presentation of the analysis in useful visualization forms. Techniques and algorithms (including machine learning) are used for finding meaningful patterns. Looks into the combination of mathematics, statistics, programming, and the context of the problem to come up with different insights. Also deals with the issues of clean data.