Curriculum and course sequences | School of Management

Official information on program curriculum, courses and requirements for degrees, and academic policies and procedures should be accessed through the University Bulletin.

If you have questions about your degree requirements, registering for courses or anything regarding academic information, contact Graduate Academic Advising.

More information on elective course offerings can be found at this link.

SOM students may request course waiver(s) based on coursework completed during their time as an undergraduate. We will not waive courses for you automatically. Request waivers at this link.

You can find general information about curriculum and course sequences on the program pages:

Declaring a concentration

Current MBA students can declare a concentration at this link.

MS Accounting students are not able to declare a concentration.

Concentrations are optional. If you do not declare a concentration, you will select 7-8 electives of your choice that align with your career goals.

Elective Options

School of Management MBA candidates have the option of customizing their elective curriculum to meet the specific needs of their desired post-grad positions.

Elective course availability: We cannot guarantee when elective courses will be offered. If you deem an elective course to be required for your desired area of focus, you are strongly urged to register for that course at that time. If an elective course is closed at the time of your registration, please submit a closed course petition.

To best prepare for a career in accounting, finance, marketing, management information systems or leadership, we strongly urge students to select four of the elective course options listed below in the corresponding area of expertise. A suggested elective path is listed below.

To best prepare for a career in business analytics or supply chain management, we strongly urge students to complete the coursework listed below, as well as the additional electives in the corresponding area of expertise. A suggested elective path is listed below.

Students may explore multiple areas of study by customizing the elective curriculum to their interests.

Please note: concentrations are not offered at the graduate level and will not be listed on your degree upon conferral.

Accounting
Only students with an undergraduate degree in accounting are eligible to register for accounting courses at the graduate level.

ACCT 540 - Financial Accounting Theory

This course studies the interaction between accounting information and the capital market, covering the following topics in accounting theory: the effects of accounting information on decisions and behavior of investors and managers; the role of accounting and auditing in the financial markets (including standard-setting, international harmonization, corporate governance, and regulation and enforcement); accounting ethics and professional responsibility; and financial accounting theory issues such as measurement and disclosure. The course emphasizes the development of oral and written communication skills; the ability to locate and use financial accounting standards; and an understanding of the results and implications of accounting research. 4 credits. Traditionally offered fall and spring semesters. Levels: Graduate Restrictions: Must be enrolled in one of the following Colleges: GD Management
ACCT 541 - Audit & Managerial ACCT Theory

The course will cover topics in management accounting and auditing (including the financial regulatory environment). The course will be divided evenly into two modules. The first module involves managerial accounting from an agency perspective. The second module focuses on the role of auditors and financial regulators in the economy. The goal of this course is to be topical. Therefore the issues chosen to be the focal points in the two modules are currently being debated in the media and academia. 4 credits. Offered fall and spring semesters. Levels: Graduate
ACCT 550 - Accounting Information Systems

This course provides an overview of the importance of accounting systems as a means to record and store transactional data and ultimately transform data into relevant information that is needed by decision makers. Topics will include audit and control, AIS applications, AIS databases, the systems development process, and the impact of key pieces of legislation such Sarbanes-Oxley and Foreign Corrupt Practices Act. Prerequisite: MGMT 500 or MIS 311. Credits 4 Levels: Graduate
ACCT 555 - Advanced Accounting Theory

Extension of financial accounting to the study of additional accounting entities such as partnerships, consolidated firms, multinational firms, state and local governmental units, and nonprofit organizations. Introduction to the study of ethics related to business combinations and to appreciation of international accounting diversity. 4 credits. Offered fall semester Levels: Graduate, Undergraduate
ACCT 573 - Individual Tax

Application of federal income tax law to individuals. Concept of gross and taxable income with an analysis of the Internal Revenue Code, regulations and court decisions. Includes research sources used to solve problems in preparation of personal income tax returns, including foreign taxpayers and non-U.S. source income, ethics of tax practice. This course is usually taken as an elective or as part of the MS in Accounting program. 4 credits. Offered fall semester. Levels: Graduate

Finance
(SCM 560 may count towards fourth course for area of focus)

FIN 520 - Financial Management

This course focuses on the assets and liabilities of a firm through covering topics including financial planning, control and forecasting, receivables management, cash management, inventory policy, leasing decisions, mergers and acquisitions, capital structure, dividend policy, debt refunding and cost of capital. Coursework emphasizes cases and integration of concepts from MGMT 505. Credits: 4 Levels: Graduate
FIN 540 - Security & Portfolio Analysis

This course integrates traditional security analysis with more recently developed theories on market efficiency, risk, and capital asset pricing. The course will help you understand how analytical frameworks are applied to pragmatic investment decisions in the stock market. 4 credits. Prerequisite: MGMT 505. School of Management graduate students only. Traditionally offered fall semesters Levels: Graduate, Undergraduate
FIN 550 - Derivative Securities

This course delves into the theoretical foundations of the pricing and use of options, futures and derivative instruments through the exploration of the institutional details of derivative markets in the U.S. Topics include underlying economic rationale for these markets, trading strategies and valuation considerations. Prerequisite: MGMT 505. School of Management grad students only. 4 credits. Traditionally offered spring semesters. Levels: Graduate
FIN 555 - Fixed Income Securities

This course builds on the concepts learned in MGMT 505 and FIN 540 that apply to fixed income securities including analytical techniques to price bonds, calculate yields, solve for duration and convexity and learn basic portfolio management techniques. We will then extend these basic concepts to understand various alternative securities such as floaters, inverse floaters, swaps, bond options and asset-backed securities. Significant time will be devoted to learning about mortgage bonds, how they are priced, and the risks that make them different from other bonds and to price IOs, POs and CMOs. The course will also cover some of the institutional features of bond markets, in particular municipal bond markets, emerging bond markets and U.S. Treasury auctions. Prerequisite: MGMT 505. 4 credits. School of Management graduate students only. Traditionally offered spring semesters Levels: Graduate
FIN 580E - Financial Statement Analysis
FIN 581A - Arbitrage Strategies

This is an advanced, research based, elective course targeted at students majoring in Accounting and/or Finance. It is designed to be a cutting edge, state of the art, hands-on course. It is intended for those students who have a strong interest in understanding and applying the concepts underlying modern accounting and finance in the capital market settings. These skills are applicable in jobs in auditing, consulting, corporate finance, forensic accounting, hedge funds, investment banking, quantitative financial analysis, securities litigation consulting, etc. Prerequisite: MGMT 505. 4 credits. Levels: Graduate, Undergraduate
SCM 560 - DecisionModeling&Risk Analysis

This course uses problems and cases, primarily from general management, finance, marketing, and operations, and spreadsheet-based analytical tools to improve your decision-making ability in an uncertain and complex business environment. Students learn techniques widely used to estimate the impact of a decision on performance measures of interest, assess and manage risk, structure problems and determine the optimal decision. The course has three segments: Spreadsheet Modeling, Decision Making under Uncertainty (using Decision Trees and Simulation), Decision Making under Certainty (using Linear, Integer and Nonlinear Programming). Microsoft Excel and Excel add-ins are used throughout the course. All classes will be held in a computer lab. Prerequisite: MGMT 503 and MGMT 507. Offered as needed. Credits: 4 Levels: Graduate, Undergraduate

Marketing
(SCM 560 and SCM 572 may count towards fourth course for area of focus)

MKTG 535 - Consumer Behavior
MKTG 540 - Marketing Research

This course introduces major research techniques currently employed by major corporations in the U.S. Included are issues dealing with problem formulation, research design, questionnaire construction, data collection, multivariate data analysis techniques and report writing. Prerequisite: MGMT 506. Levels: Graduate, Undergraduate
MKTG 575 - Data Driven Marketing

This course will deal with the use of data and relevant skills to make marketing decisions, focusing on CRM and Database/Direct Marketing (with both online and offline applications). Topics include customer acquisition, retention, attrition, and loyalty program, etc. Prerequisites: Introduction to Marketing (MGMT 506 or MKTG 311), Marketing Research (MKTG 540 pr MKTG 320). Traditionally offered in the spring semester. credits 4 Levels: Graduate
MKTG 580K - Strategic Media Planning

In this course, students develop familiarity with the basics of advertising and promotion; learn media characteristics, and how to use secondary and primary data to inform media strategy and selection. After obtaining this foundational knowledge, students are be assigned to a team which will conduct in-depth research on market environments and develop a comprehensive media plan and campaign for a client of Publicis, one of the largest marketing agencies in the world. Prerequisite: MKTG 311 or MGMT 506. credits 4 Levels: Graduate
MKTG 580L - Optimizing Customer Strategy

This course is designed to meet the increasing demands from the industry and recruiters for the application of quantitative and analytical skills to support sophisticated marketing decision making. This hands-on course primarily uses Excel (and SPSS) to develop the analysis. Concepts like Customer Lifetime Value, maximum likelihood estimation, Discrete Choice and Latent class modeling, and optimization are introduced in this course. The content of the course is based on cutting-edge research in optimization to derive solutions to more individually customized and proactive marketing decisions, such as cross-selling campaigns and customer retention. Students will apply the tools to several cases with data. STUDENTS ARE REQUIRED TO HAVE LAPTOPS IN CLASS. Prerequisite: MGMT 506. credits 4 Levels: Graduate
SCM 560 - DecisionModeling&Risk Analysis

This course uses problems and cases, primarily from general management, finance, marketing, and operations, and spreadsheet-based analytical tools to improve your decision-making ability in an uncertain and complex business environment. Students learn techniques widely used to estimate the impact of a decision on performance measures of interest, assess and manage risk, structure problems and determine the optimal decision. The course has three segments: Spreadsheet Modeling, Decision Making under Uncertainty (using Decision Trees and Simulation), Decision Making under Certainty (using Linear, Integer and Nonlinear Programming). Microsoft Excel and Excel add-ins are used throughout the course. All classes will be held in a computer lab. Prerequisite: MGMT 503 and MGMT 507. Offered as needed. Credits: 4 Levels: Graduate, Undergraduate
SCM 572 - Adv.Model for Decision Making

The objective of this course is to improve your decision-making ability in an uncertain and complex environment, using problems and cases from multiple disciplines, including finance, marketing, and operations management. Using spreadsheet-based analytical tools and state-of-the art software, such as XL Miner, students will learn techniques widely used to structure problems, estimate the impact of a decision on performance measures of interest, assess and manage risk, and determine the optimal decisions for real-world linear, network, integer, and nonlinear optimization problems. Students will use Microsoft Excel and Excel add-ins throughout the course. Prerequisite: MGMT 503 and MGMT 507. credits 4 Levels: Graduate

Management Information Systems
(ACCT 550 may count towards fourth course for area of focus, MIS 580H also available)

MIS 523 - Info.Sys.Analysis&Specificatn.

This course provides an understanding of the systems development and modification process. It enables students to choose and adapt system development methodologies. In approaching a project, this course teaches students the principles of high-quality information requirements determination and specification through effective communication with users and all other stakeholders in systems development and maintenance and appropriate documentation standards. Participatory approaches like JAD, SSM, ETHICS or prototyping are emphasized. Prerequisite: MGMT 500. 4 Credits. SOM grad student only. Offered in Fall. Levels: Graduate, Undergraduate
MIS 525 - Essentials of Programming

Given the highly digitized environment we live in, organizations are increasingly recognizing the need for programming literacy to leverage computing devices and data-processing applications to improve their performance. Therefore, programming and data analysis are becoming the necessities of today's highly competitive business environment. This course focuses on the essentials of programming in Python, a powerful and general-purpose programming language that many businesses expect their recruits to be competent in. The course will cover a variety of general programming topics such as data structures, decision controls, loops, and functions. It will also cover popular Python libraries such as numpy, pandas, and matplotlib. The course will prepare students to develop programs that solve real-world problems. Students registering for this course should be prepared for an intense but manageable workload. Levels: Graduate
MIS 533 - Database Management Systems

Management of data resources is a crucial activity for any enterprise because effective decisions require good information. Since a good database management system may perform poorly with badly designed databases, this course provides a conceptual foundation and design principles upon which students may develop well-designed applications using the relational database model and the database life-cycle methodology. Tutorials and projects provide students the opportunity to implement their designs and become proficient in the use of the various features of a database management system. Advanced topics include transaction management and concurrency control, distributed database management systems, object-oriented databases, data warehouse design, database administration and e-business integration. 4 credits. School of Management grad students only. Prerequisites: MGMT 500. Traditionally offered in the Spring. Levels: Graduate, Undergraduate
MIS 550 - IT Security and Forensics

The first part of this course covers description of different security technologies including firewalls, intrusion detection and cryptography and identification of potential threats such as malicious software, social engineering, spoofing, and phishing. Students will also learn about managerial aspects including information security policies, security management models and practices, and risk management. The second part of the course covers technical and legal aspects of conducting computer forensic analysis and investigation. Topics include requirements of processing crime scenes, investigation of digital evidence (computers, laptops, etc.), network forensics, e-mail investigation, report writing, and expert testimony in high-tech investigations. Prerequisite: MGMT 500. 4 credits. Levels: Graduate, Undergraduate
MIS 573 - Information Systems Project

This course is a capstone course in information systems development, where students will tudents work on a real-life project in the analysis, design and implementation of a system to address an actual problem. Proper project management skills are also emphasized. Completion of this course qualifies students to be productive members of an industry project team. 4 credits. School of Management graduate students only. Prerequisite: MGMT 500. Traditianally offered in the Spring semester. Levels: Graduate, Undergraduate
MIS 580E - Advanced Spreadsheeting

This course focuses on using advanced features of Microsoft Excel to create efficient spreadsheet models and analyze real-world business problems. Because a spreadsheet can be a part of a bigger Information System, Excel can be used as a tool for pre-processing data or integrate with other tools such as databases. Moreover, Visual Basic for Applications built into Excel allows us to develop programs to perform tasks that are not available from the standard Excel interface (buttons and command). Course topics include: an introduction to MIS problem solving approach (e.g, efficient and flexible spreadsheet design), determining effective data display with charts and linking and consolidating worksheets, text functions and formulas, data screening and validation, locating and managing data with reference functions, troubleshooting and customizing workbooks with macro, visual basic programming and other advanced tools, and data analysis. Although certain level of familiarity with programming is preferred, such skills are not required. Prerequisite: MGMT 500. 4 credits. School of management graduate students only. Traditionally offered in the fall and spring semesters. Levels: Graduate, Undergraduate
MIS 580H - Web Mining/Soc Netwk Analysis

This course provides an overview of measures, models, and methods of analysis that can be used to study social networks to further business interests within organizations using data from internal and external social media data sources. The focus of the course will be on modeling methods and IT tools to collect and analyze large volumes of data for predictive and descriptive analysis. Students will also learn the use of standard statistical software packages and special network analysis software. Traditionally offered in spring . Prerequisite of MIS 311 and CQS 311 credits 4 Levels: Graduate
MIS 581F - IT for Business Analytics

This course focuses on the technology component of business analytics; more specifically storing, processing, and accessing data for the purpose of business analytics. The majority of the class explores a variety of technology solutions for big data on cloud infrastructure. The first part of the class focuses on comparing/contrasting relational databases, in-memory databases, and NoSQL databases, virtualization, and basics of parallel computing and cluster computing. The second part of the class covers alternative database models including column, key-value, graph, and document. The last part of the class focuses on data processing languages and distributed machine learning technologies. At the end of the class, students will have hand-on experience with distributed file systems, various NoSQL databases, and virtualization solutions for the purpose of preparing data for business analytics. Pre-reqs: MGMT 500. 4 credits. Levels: Graduate, Undergraduate
MIS 586 - E-Business

This course provides a broad introduction to e-business. To put it simply, e-business is doing business online by strategically using information and communication technologies (ICTs) to perform various activities from back-office to front-office. It is an evolutionary step in the convergence of technological development and business innovation. Technological innovations have allowed businesses to operate globally and gain a presence like never before. By taking advantage of ICTs in all aspects of the business, enterprises have completely changed how they operate and interact with their stakeholders. Despite the various benefits of e-business, effective e-business implementation faces various managerial and technological challenges. This course is designed to highlight the managerial perspective of e-business with an emphasis on the role of ICTs. Students are expected to be able to apply the knowledge domains we will be discussed in class to understand and resolve business problems that confront organizations during their introduction and implementation of e-business. The primary objective of the course is to expose students to key concepts and issues that transform commerce in a digital environment. The course will cover many key e-business knowledge domains, including (simple) website design, search engine optimization, change management, business process reengineering, and process mining. Students will learn by doing various course activities and projects.4 credits. School of Management graduate students only. Traditionally offered Fall semesters. Levels: Graduate, Undergraduate
ACCT 550 - Accounting Information Systems

This course provides an overview of the importance of accounting systems as a means to record and store transactional data and ultimately transform data into relevant information that is needed by decision makers. Topics will include audit and control, AIS applications, AIS databases, the systems development process, and the impact of key pieces of legislation such Sarbanes-Oxley and Foreign Corrupt Practices Act. Prerequisite: MGMT 500 or MIS 311. Credits 4 Levels: Graduate

Leadership and Consulting

LEAD 551 - Leadership Skills&Development

This course concentrates on leadership as it occurs in one-on-one situations and in small groups, and surveys the major topical areas of leadership. A significant portion of the course focuses on interpersonal influence through language, framing and specific behaviors, as well as leading for innovation. Traditionally offered fall semester. Levels: Graduate, Undergraduate
LEAD 552 - Team Leadership

In today's increasingly digital and interconnected workplace, the nature of team leadership has undergone profound transformations. This course addresses the core principles of team leadership while embracing the analytical rigor and technological expertise required in contemporary organizational settings. Through the study of empowerment, digitization, globalization, and team-based work structures, students will engage with both traditional team leadership constructs and cutting-edge STEM methodologies, including data analysis, simulation, and limited programming. This class will also address modern challenges such as virtual teams and the future of work. 4 credits Levels: Graduate
LEAD 553 - Strategic Leadership

The theme of this course is the role of leadership in larger systems and on the role of culture in organizations. Emphasis is on how to work in larger organizations to effect strategic change, implement new technology, work across different boundaries/units and work in different cultures and globally. The intent of this course is to develop the capacity in students to consult with larger organizations on strategic leadership and change management practices. Students will work with advanced information technology to learn how to best manage knowledge and to develop a learning culture in organizations. Traditionally offered spring semester. Credits: 4 Levels: Graduate, Undergraduate
MGMT 583N - Negotiations

In this course, students learn to negotiate for personal and career objectives through textbook and negotiation exercises, including individual as well as team negotiations. Topics include planning, negotiation opponent assessment, strategy and tactical planning, voice and word control, role playing, and reactive flexibility. 4 credits. Levels: Graduate

Business Analytics

Complete the three required designated core courses, as well as two business analytics electives.

Required coursework (register when available, term offered is not guaranteed)

SCM 572 - Adv.Model for Decision Making

The objective of this course is to improve your decision-making ability in an uncertain and complex environment, using problems and cases from multiple disciplines, including finance, marketing, and operations management. Using spreadsheet-based analytical tools and state-of-the art software, such as XL Miner, students will learn techniques widely used to structure problems, estimate the impact of a decision on performance measures of interest, assess and manage risk, and determine the optimal decisions for real-world linear, network, integer, and nonlinear optimization problems. Students will use Microsoft Excel and Excel add-ins throughout the course. Prerequisite: MGMT 503 and MGMT 507. credits 4 Levels: Graduate
MIS 525 - Essentials of Programming

Given the highly digitized environment we live in, organizations are increasingly recognizing the need for programming literacy to leverage computing devices and data-processing applications to improve their performance. Therefore, programming and data analysis are becoming the necessities of today's highly competitive business environment. This course focuses on the essentials of programming in Python, a powerful and general-purpose programming language that many businesses expect their recruits to be competent in. The course will cover a variety of general programming topics such as data structures, decision controls, loops, and functions. It will also cover popular Python libraries such as numpy, pandas, and matplotlib. The course will prepare students to develop programs that solve real-world problems. Students registering for this course should be prepared for an intense but manageable workload. Levels: Graduate
SCM 575 - DataMining & Business Intell.

This course covers fundamental concepts and techniques in data mining with a focus on business application. The goal is to understand how to build and use appropriate data mining models to analyze business-related data and obtain useful information to advance the business and make managerial decisions. The course covers various predictive regression and classification models, such as Multiple Linear Regression, Regularization methods, K-Nearest Neighbors, Naïve Bayes, Logistic Regression, Classification and Regression Trees, Neural Networks, clustering methods, and dimension reduction techniques. Python will be used to implement such models. Hence, proficiency in programming with Python is critical in succeeding in this course. Prerequisites are Python programming, statistics. Levels: Graduate

Electives (select two of the following)

MKTG 575 - Data Driven Marketing

This course will deal with the use of data and relevant skills to make marketing decisions, focusing on CRM and Database/Direct Marketing (with both online and offline applications). Topics include customer acquisition, retention, attrition, and loyalty program, etc. Prerequisites: Introduction to Marketing (MGMT 506 or MKTG 311), Marketing Research (MKTG 540 pr MKTG 320). Traditionally offered in the spring semester. credits 4 Levels: Graduate
SCM 565 - Supply Chain Management

This course provides MBA students with an overview of the managerial aspects of Supply Chain Management and B2B e-business. The course will integrate the perspectives on supply chain management from information systems, operations, marketing and finance. It covers topics like enterprise systems, auctions, electronic procurement, EDI, XML, inventory management, supply chain design, supply chain collaboration, distribution, transportation and issues in global supply chains. Prerequisite: MGMT 503 and MGMT 507. Offered as needed. credits 4 Levels: Graduate, Undergraduate
MIS 581F - IT for Business Analytics

This course focuses on the technology component of business analytics; more specifically storing, processing, and accessing data for the purpose of business analytics. The majority of the class explores a variety of technology solutions for big data on cloud infrastructure. The first part of the class focuses on comparing/contrasting relational databases, in-memory databases, and NoSQL databases, virtualization, and basics of parallel computing and cluster computing. The second part of the class covers alternative database models including column, key-value, graph, and document. The last part of the class focuses on data processing languages and distributed machine learning technologies. At the end of the class, students will have hand-on experience with distributed file systems, various NoSQL databases, and virtualization solutions for the purpose of preparing data for business analytics. Pre-reqs: MGMT 500. 4 credits. Levels: Graduate, Undergraduate
SCM 581B - Healthcare Opers. & Analytics

In this course students will explore the challenges faced when delivering quality health care, take a principles-driven approach to study health care management and improve the health care value chain. We will learn how to evaluate the performance of operating units, understand why they perform as they do, design new or improved operating procedures and systems for competitive advantage, make short and long run decisions that affect operations, and manage the workforce. We will learn the analytical tools needed to support the efficient and effective delivery of healthcare such as process flow analysis, capacity management, and quality improvement. Using cases, assignments, and guest speakers we will demonstrate how these tools have been used to improve processes in healthcare setting, as well as point out what are the institutional challenges unique to healthcare. In addition, students will analyze healthcare problems using actual healthcare data. Prerequisite: MGMT 503 and MGMT 507. Credits: 4 Levels: Graduate
MKTG 580L - Optimizing Customer Strategy

This course is designed to meet the increasing demands from the industry and recruiters for the application of quantitative and analytical skills to support sophisticated marketing decision making. This hands-on course primarily uses Excel (and SPSS) to develop the analysis. Concepts like Customer Lifetime Value, maximum likelihood estimation, Discrete Choice and Latent class modeling, and optimization are introduced in this course. The content of the course is based on cutting-edge research in optimization to derive solutions to more individually customized and proactive marketing decisions, such as cross-selling campaigns and customer retention. Students will apply the tools to several cases with data. STUDENTS ARE REQUIRED TO HAVE LAPTOPS IN CLASS. Prerequisite: MGMT 506. credits 4 Levels: Graduate
MGMT 581L - Advanced Business Statistics

Advanced statistical methods and their applications in business data analysis. Topics include in-depth discussion of continuous and categorical data analysis as well as the introduction to R and Python programming Pre-req: Statistics Offered in the Fall Semester 4 credits Levels: Graduate

Supply Chain Management
Complete the three required designated core courses, as well as one of the supply chain management electives.

Required coursework (register when available, term offered is not guaranteed)
Select either SCM 560 or SCM 572

SCM 565 - Supply Chain Management

This course provides MBA students with an overview of the managerial aspects of Supply Chain Management and B2B e-business. The course will integrate the perspectives on supply chain management from information systems, operations, marketing and finance. It covers topics like enterprise systems, auctions, electronic procurement, EDI, XML, inventory management, supply chain design, supply chain collaboration, distribution, transportation and issues in global supply chains. Prerequisite: MGMT 503 and MGMT 507. Offered as needed. credits 4 Levels: Graduate, Undergraduate
SCM 575 - DataMining & Business Intell.

This course covers fundamental concepts and techniques in data mining with a focus on business application. The goal is to understand how to build and use appropriate data mining models to analyze business-related data and obtain useful information to advance the business and make managerial decisions. The course covers various predictive regression and classification models, such as Multiple Linear Regression, Regularization methods, K-Nearest Neighbors, Naïve Bayes, Logistic Regression, Classification and Regression Trees, Neural Networks, clustering methods, and dimension reduction techniques. Python will be used to implement such models. Hence, proficiency in programming with Python is critical in succeeding in this course. Prerequisites are Python programming, statistics. Levels: Graduate
SCM 560 - DecisionModeling&Risk Analysis

This course uses problems and cases, primarily from general management, finance, marketing, and operations, and spreadsheet-based analytical tools to improve your decision-making ability in an uncertain and complex business environment. Students learn techniques widely used to estimate the impact of a decision on performance measures of interest, assess and manage risk, structure problems and determine the optimal decision. The course has three segments: Spreadsheet Modeling, Decision Making under Uncertainty (using Decision Trees and Simulation), Decision Making under Certainty (using Linear, Integer and Nonlinear Programming). Microsoft Excel and Excel add-ins are used throughout the course. All classes will be held in a computer lab. Prerequisite: MGMT 503 and MGMT 507. Offered as needed. Credits: 4 Levels: Graduate, Undergraduate
SCM 572 - Adv.Model for Decision Making

The objective of this course is to improve your decision-making ability in an uncertain and complex environment, using problems and cases from multiple disciplines, including finance, marketing, and operations management. Using spreadsheet-based analytical tools and state-of-the art software, such as XL Miner, students will learn techniques widely used to structure problems, estimate the impact of a decision on performance measures of interest, assess and manage risk, and determine the optimal decisions for real-world linear, network, integer, and nonlinear optimization problems. Students will use Microsoft Excel and Excel add-ins throughout the course. Prerequisite: MGMT 503 and MGMT 507. credits 4 Levels: Graduate

Electives (select one of the following)

SCM 581B - Healthcare Opers. & Analytics

In this course students will explore the challenges faced when delivering quality health care, take a principles-driven approach to study health care management and improve the health care value chain. We will learn how to evaluate the performance of operating units, understand why they perform as they do, design new or improved operating procedures and systems for competitive advantage, make short and long run decisions that affect operations, and manage the workforce. We will learn the analytical tools needed to support the efficient and effective delivery of healthcare such as process flow analysis, capacity management, and quality improvement. Using cases, assignments, and guest speakers we will demonstrate how these tools have been used to improve processes in healthcare setting, as well as point out what are the institutional challenges unique to healthcare. In addition, students will analyze healthcare problems using actual healthcare data. Prerequisite: MGMT 503 and MGMT 507. Credits: 4 Levels: Graduate
MKTG 575 - Data Driven Marketing

This course will deal with the use of data and relevant skills to make marketing decisions, focusing on CRM and Database/Direct Marketing (with both online and offline applications). Topics include customer acquisition, retention, attrition, and loyalty program, etc. Prerequisites: Introduction to Marketing (MGMT 506 or MKTG 311), Marketing Research (MKTG 540 pr MKTG 320). Traditionally offered in the spring semester. credits 4 Levels: Graduate