Turning Data into Strategic Decisions in a Global Economy
Build a strong foundation in finance, accounting, business law, and economics, then specialize in one of today’s most in-demand fields: Data Analytics. This MBA in Data Analytics program equips you with the skills to collect, interpret, and leverage data to drive strategic decision-making in global and domestic markets. You will gain hands-on experience with business intelligence tools, statistical modeling, and data visualization while integrating leadership development, ethical decision-making, and strategic thinking.
This program is designed to help working professionals become data-driven leaders who can translate complex data into actionable business insights, preparing you to meet the needs of a rapidly evolving digital economy.
Course Name
Course #
Credits
This course examines the theory and practice involved in measuring, reporting and analyzing an organization’s financial information.
ACC5003
1.5
This course is an introduction to both microeconomics and macroeconomics. The study of microeconomics includes the behavior of consumers and companies and the study of macroeconomics includes large-scale economic factors such as national production, employment, inflation and interest rates. You will learn how a modern market economy functions and factors that determine long-run growth and short-term fluctuations to better understand how economics applies to everyday life, business and world economies.
ECN5011T
1.5
This course provides an introduction to financial concepts and principles for students not exposed to an introductory undergraduate course in finance. Topics include: financial institutions and markets, overview of investment analysis, time value of money, bond and equity valuation, principles of financial risk analysis, cost of capital, essentials of capital budgeting and financial statement performance.
MBA5051T
1.5
An introduction to the impact of the legal system on the business environment. Overview of key legal concepts including contract law, entity formation, employment law, corporations and intellectual property. Effects of landmark statutes and court decisions will be discussed.
MBA5061T
1.5
Total Credits:
6
MBA Courses (18 Credits)
Course Name
Course #
Credits
Management accounting, or cost accounting, is a business process that helps senior leaders evaluate a company’s financial and profit potential. Cost accounting applies financial accounting methods; however, cost accounting reports are usually intended for top management. Department heads and segment managers generally focus on management accounting and reporting. The examines how accounting information is used for management decisions. Topics covered include variable costing, job-order costing, activity-based.
ACC6003
3
Global Business Economics is designed to prepare students for the business challenges of the 21st Century global economy by enhancing their awareness of the economic, demographic, political, legal, social and cultural changes that are occurring throughout the world as a result of globalization, and their understanding of the profound implications these changes have for effective global leadership and organizational success.
ECN6023
3
Overview of the finance function of the firm, financial analysis, planning and budgeting, and the impact of alternative capital structures on the firm. Emphasis on understanding and utilizing present value and future value concepts.
MBA6003
3
Operations management is primarily responsible for creating values on business output by transforming the quantity, quality, forms, and place attributes of input variables. Supply chain is the network of all firms, resources, and operations involved in the creation and delivery of products, from raw materials from the suppliers to the manufacturers, and delivery to the end user.
Theoretical and quantitative concepts, models, methods, and strategies covered in the course for designing and managing manufacturing and service systems include: overview of operations & supply chain management, product & service design, manufacturing and service processes & analysis, six-sigma quality, statistical process control, strategic capacity planning, lean manufacturing, demand management & forecasting, facility layout, facility location, aggregate sales & operations planning, inventory management, materials requirement planning, operations scheduling, sustainable operations.
MBA6063
3
This course presents a graduate Classification framework for strategic marketing management. Topics include: adapting marketing to the new economy, marketing research: process and systems for decision making, consumer behavior, market segmentation, product strategy and new product planning & development, integrated marketing communications, pricing strategy, distribution strategy, marketing of services, global marketing, ethics and social responsibility. The course involves cases, lectures, teamwork, and group presentation. Students will adopt a new way of thinking about business known as “marketing orientation” and “value creation.”
MBA6053
3
Global Strategic Management is the capstone course in the MBA program. This course exposes the student to the many dimensions of strategic business planning and decision making in a fiercely competitive and rapidly changing global environment. The course covers the analysis of the external global environment; the creation of vision and mission statements that define the organization’s strategic direction, role in society and long-term objectives; the development of effective business strategies for creating sustainable competitive advantage and for responding to the opportunities and threats identified in the external environment; and the successful implementation of the organization’s strategies and achievement of its goals. The student will apply knowledge and skills learned from prior courses in leadership, economics, finance, marketing, management, and other disciplines to the development and implementation of an organization’s strategy. The student will learn numerous, unique strategic planning tools, concepts and techniques that are used to conduct the strategic management tasks. Students will understand how to think strategically and connect the disciplines of strategy and leadership to effectively assess, formulate, plan, and implement the strategic plan.
MBA6073
3
Total Credits:
18
Data Analytics Required (9 credits)
Course Name
Course #
Credits
Study of money and capital markets and institutions and their managerial and environmental problems, including regulation and supervision by the government. Topics include: financial environment, determination of interest rates and structure of interest rates, functions of the fed and monetary policy, .money and bond markets, bond valuations and mortgage markets, stock offerings and stock valuation, market microstructures and strategies, financial futures and options, swaps and foreign exchange, derivatives, commercial banks and bank regulation, bank management and performance, finance operations and securities operations.
3
This course is designed to introduce students with little or no prior programming experience to the art of programming through the lens of exploring data. Students will build a core foundation in the Python programming language as well as data analysis and visualization. This course is a hands-on, experiential class that students learn by solving actual business problems using Python under the guidance of the instructor. Topics will include programming fundamentals and logic such as variables, input & output, control structures, functions, data types, data manipulation, and object-oriented concepts. Students will apply the Python programming language and essential data science techniques to solve various problems. At the
end of this course, students will complete a final project as a team which cohesively ties together all the covered concepts.
INT6103
3
This course will introduce the basic concepts of data analytics as applied in various business contexts. After learning the basic concepts, students will learn how to differentiate between various topics such as statistical analysis, data mining, business intelligence, business analytics, and data science to describe which approach is most suitable given a certain problem. Finally, students will gain exposure to the various tools and programming languages that are relevant to both business and data analytics, and how these tools yield critical analysis leading to improved business decisions.
MBA6103
3
Data Analytics Electives (9 credits)
Course Name
Course #
Credits
This course covers the principles, practices, design, and development of database management systems (DBMS) with an emphasis on the relational
database systems. More specifically, it focuses on logical modeling, physical data modeling, normalization, and database query languages. Additionally, this course will explore database implementation, concurrency control, Data models, normal forms, relational systems, object-oriented systems, object-relational systems, transaction processing and even business intelligence and data warehousing. This course emphasizes on hands-on skills. Students are required to use database applications to practice database design and implementation through assignments exercises and conduct a class project involving the data modeling, database development and implementation.
INT6113
3
This class is an introductory undergraduate course, and it provides a broad introduction to machine learning algorithms, principles, models and techniques. It covers topics in learning theory, dimension reduction, classification, clustering, Bayesian theory, support vector machines, neural networks, deep learning, and reinforcement learning. The course is a programming-focused introduction to Machine Learning and students will gain practical experience by conducting a project and using the algorithms and methods introduced in the course to solve real-world problems. By the end of the course, students will have developed practical skills in building learning models, deploying and evaluating their performances.
INT6203
3
In this course, students will learn the basics of analysis of social media data, using R programming language. Students will use R for techniques such as sentiment analysis in order to gain behavioral insights from social media data utilizing various application programming interfaces (API), and will take a critical approach to the benefits and limits of such analysis.
INT6303
3
Business Analytics and Intelligence (BA&I) are applications and technologies can be used to analyze data to improve business performance through fact-based decision-making. The demand for building and managing BA&I systems in today’s very competitive and challenging economy is high. This course is designed to provide in-depth Business Analytics knowledge of handling data and Business Intelligence tools that can be used for fact-based decision-making. The class will be hands-on and the emphasis will be placed on the “know-how” aspect – how to extract and apply business intelligence to improve business decision making. This course will cover the complete lifecycle for building, deploying and managing BA&I systems including defining and analyzing the business opportunity, creating a dimensional model, designing the ETL process, developing the data warehouse solution, and supporting the BI solution.
INT7213
3
This course is an introduction to grounded principles and techniques of design, cognition, perception, and human-computer-interaction for visualizing data interactively. Today, the amount of digital data has grown exponentially, which poses a major challenge for business to manipulate and analyze data efficiently. To gain useful insight from business data, the visual analytics techniques have drawn attention to the public. The major goal of this course is to teach business students, typically nonprogrammers, how to use visualization techniques to analyze big data. Students will work as groups and learn a wide array of visualization methods and be able to apply the techniques to our everyday life or research problems.
INT7253
3
This course is designed to introduce students to the fundamentals of data mining, including methods and applications. In this course, students will learn the fundamental concepts, principles, and methods that are necessary for processing and filtering the data. Students will learn how to detect patterns and similarities in order to extract knowledge from raw data and turn it to insightful information. Topic includes data preprocessing, association mining, data classification, data clustering, and visual data exploration. The students will conduct a project of data analytics, and use the tools introduced in the course to solve real-world problem. By the end of the course, students will have developed practical skills in data mining and be able to apply them in various contexts.
INT7513
3
The emergence of massive datasets containing millions or even billions of observations provides the primary impetus for the business analytics field. Such datasets arise, for instance, in large-scale retailing, supply chain network, marketing channel, and social media. This course will emphasize theoretical foundation of business analytics and practical techniques for working with business data to support decision making. Specific topics covered will include statistical modeling, machine learning, predictive modeling, text mining, web mining, social network analytics in real world topics and case studies. The use of statistical and data manipulation software and basic programming skills will be required.
INT7623
3
This graduate course will expose students to the digital marketing fundamentals and provide a solid foundation in the key concepts around this constantly changing field. Through a combination of readings, lectures, case studies, and course projects, students will develop knowledge of online social media and networks, mobile marketing, publishing blogs, rules of engagement, publishing podcasts, and mobile computing. Students will exit the course with a solid understanding of digital marketing tactics, tools, and social media marketing plans. The case study method of learning utilized in this course will allow students to learn digital marketing from a practical perspective. Topics include: why social media?, goals and strategies, identifying target audiences, rules of engagement for social media, publishing blogs publishing podcasts and webinars, publishing articles, white papers, and e-books, sharing videos, sharing photos and images, social networks, microblogging, discussion boards, social news, and Q&A sites mobile computing and location marketing, social media monitoring, social media marketing plan.
MBA7073
3
Use Your Cell Phone as a Document Camera in Zoom
From Computer
Log in and start your Zoom session with participants
From Phone
To use your cell phone as a makeshift document camera