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2020-2021

First Semester Second Semester Third Semester Electives

First Semester

MGQ 601 Managerial Decision Modeling

MGO 631LEC Production and Inventory Planning

This course focuses on production and inventory management problems in the entire supply chain, and the application of quantitative models and information systems and technologies for these problems. An enterprise resource planning (ERP) system platform is assumed and the course also covers the implementation aspects of ERP systems. The topics covered include supply chain strategy and coordination mechanisms, forecasting systems, aggregate planning, advanced planning systems (APS), master production scheduling, materials requirements planning (MRP) systems, inventory management for suppliers, manufacturers and distributors, cellular manufacturing, just-in-time (JIT) systems, lean manufacturing, optimized production technology (OPT), and flexible manufacturing systems (FMS) technologies. The completion of this course will enable students to take the certification examinations (CPIM/CFPIM) for American Production and Inventory Control Society (APICS).

Credits: 3.00
Semesters offered: Fall 2020


MGO 634LEC Project Management

A project is a unique endeavor to create something of value. Modern project management does not belong exclusively to any particular industry, as it is useful to large corporations, government agencies, and individuals alike. This course covers the defining, organizing, and managing of complex, multidisciplinary projects, focusing on concepts and skills increasingly critical to 21st century work.

Credits: 3.00
Semesters offered: Fall 2020


MGO 636LEC Supply Chain Analytics

This course focuses on design, modeling and optimization of supply chain networks. Topics covered include: global supply chain strategy formulation, performance metrics, new forecasting models applicable for supply chain contexts, newsvendor models for capacity and aggregate planning, models for location and design of supply and distribution entities, inter-organizational planning, advanced planning systems, multi-echelon inventory analysis, distribution requirements planning (DRP) systems, joint transportation-inventory models, and pricing and revenue management techniques.

Credits: 3.00
Semesters offered: Fall 2020


Tracks - Operations and Supply Chain Management

Analytics Entrepreneurship Finance Health Care Industry Operations

Track Required Courses:

MGO 619LEC Business Forecasting

This course is devoted to delivering, constructing, and implementing business forecasting analytical models and systems (with data) that are capable of enhancing decision making and providing decision support for managerial and policy decisions at the firm, industry, and country levels. It is emphasized that applications of predictive methodology and empirical analysis are an integral part of the course. Both methods and results provide solutions to problems and insights to decision makings.

Credits: 3.00
Semesters offered: Spring 2020


MGS 613LEC Database Mgmt Systems

This course is designed to provide students with a basic understanding of database management systems (DBMS) and the skills needed to design and implement a relational database. Students will be introduced to data modeling concepts, modeling tools, the process of transforming conceptual models into relational database designs, and finally the steps needed to implement those designs. Emphasis is placed on Entity-Relationship diagramming, data normalization, database administration, and data definition, data manipulation and query development using Structured Query Language (SQL). Other topics covered include: object-oriented databases, database security and integrity, web/database integration, application development in a Client/Server environment, distributed databases, data warehousing, data mining and knowledge management via the Internet to support electronic commerce. Readings, lectures, interactive case assignments and a database design project reinforce the role of DBMS in supporting organizational systems, transaction processing and decision support applications.

Credits: 3.00
Semesters offered: Fall 2020


Track Electives

MGA 604LEC Fin Analysis & Reporting

This course provides an introduction to the fundamental concepts and issues of financial accounting with emphasis on the interpretation of financial statements. The course addresses the economic consequences of transactions and their presentation on corporate financial statements. A primary objective is to introduce corporate financial statements as a tool for company valuation and decision making. Emphasis is on the analysis of effects of decisions on financial performance and use of financial statements to evaluate organizations.

Credits: 3.00
Semesters offered:


MGF 633LEC Investment Management

This course provides students with a general understanding of the operation of capital markets and basic analytical tools of investment management. Specifically, the course covers such topics as principles of valuation, risk analysis, modern portfolio theory, Capital Asset Pricing Model (CAPM), market microstructure, index models, arbitrage pricing models, bonds and common stocks valuation, efficient market hypotheses, investment management, and option pricing models.

Credits: 3.00
Semesters offered: Fall 2020 | Spring 2020


MGF 634LEC Quantitative Methods in Finance

The objective of this course is to ensure students have a solid foundation in the mathematical foundations required to understand and work with complex financial securities and derivatives. This foundation will be useful in higher level finance courses and as practitioners working in financial markets. Topics covered include stochastic calculus, continuous time finance, numerical methods, finite differences, and taylor series approximations. Applications from finance such as bond pricing, option pricing and portfolio theory are used as examples to illustrate the mathematics.

Credits: 3.00
Semesters offered: Fall 2020


MGF 637LEC Financial Modeling

In this course, students will use financial econometric models to analyze problems of model specification, estimation, analysis and forecasting commonly faced by analysts in financial markets. The course materials cover the measurement and estimation of asset returns, earnings, macroeconomic data, risk and related applications in financial data analysis and visualization. Topics include regression analysis of time series/ARIMA models, multiple regression specifications and models of asset volatility including ARCH and GARCH. Throughout the course, students will use the statistical functions of the R programming language to analyze, model and forecast a variety of financial data.

Credits: 3.00
Semesters offered: Fall 2020 | Spring 2020


MGM 675 Marketing Analytics
MGO 615 Econometrics

MGS 616LEC Predictive Analytics

This course teaches the technical and managerial skills needed in developing predictive analytics applications which are used by customer-centric corporations - retail, financial, communication, and marketing groups - to help make decisions involving complex systems. The course concentrates on a set of well-known predictive analytics methods to support business decision making. Topics such as association rule mining, decision trees, neural networks, regression analysis and cluster analysis are covered in great depth. Extensive hands-on experience using software such as SAS Enterprise Miner is provided.

Credits: 3.00
Semesters offered: Fall 2020 | Spring 2020


MGS 655LEC Distributed Computing and Big Data Technologies

Large scale computing environments aggregate resources from many autonomous computers to satisfy the information processing needs of modern enterprises. This course introduces techniques for creating functional, usable, high-performance distributed systems. Objectives are twofold: (1) gain a solid understanding of the technical issues, concepts and systems in the rapidly advancing technologies in distributed computing, and (2) acquire substantial knowledge on how to work with big data in distributed environments. The course is organized into two parts: study of DCS technologies, and study of large scale systems. We will discuss communication and networking services, application support services, large scale distributed system design, data management and interoperability of systems including consistency and data replication. Students will learn to use a framework for data intensive distributed applications (Apache Hadoop) and an associated parallel programming model, MapReduce.

Credits: 3.00
Semesters offered: Fall 2020


MGS 657LEC Online Analytical Processing: Data Warehousing

In large organizations data invariably resides in multiple-platforms and in multiple formats. Therefore, it becomes essential to pre-process the data at appropriate levels of normalization for meaningful analysis. Extraction, transformation and loading data into structures such as data marts and data warehouses are essential steps to predictive data modeling and mining. Data mining begins with a basic understanding of where the data is stored and how it can be assembled for analytical purposes. This course provides an introduction to data warehouse design, data cleansing, exploration and visualization.

Credits: 3.00
Semesters offered: Fall 2020
Pre-Requisite or Co-Requisite: MGS 613 (Database M


MGS 659LEC Web Analytics and Optimization Techniques for eCommerce

The main objective of this course is to introduce students to the theory and practice of doing business via the Internet. Topics include: elements of the infrastructure of electronic commerce; technologies and applications in electronic commerce; using electronic commerce for the creation of competitive advantages; planning technology-based strategies to achieve business goals. The course will rely heavily on research and peer learning with the instructor serving as catalyst, facilitator, and evaluator in a collaborative environment.

Credits: 3.00
Semesters offered: Spring 2020


In addition to those courses listed, MGO 647 Supervised Research and MGO 648 Credit-Bearing Internship are elective options under all tracks.