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.
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
This course explores the analysis of financial information - particularly firms’
financial statements for making decisions to invest in businesses. The primary focus
is on equity (share) valuation, with some attention given to credit analysis and the
valuation of debt. The methods of fundamental analysis will be examined in detail
and applied in cases and projects involving listed companies. Topics include models
of shareholder value, a comparison of accrual accounting and discounted cash flow
approaches to valuation, the analysis of profitability, growth and valuation generation
in a firm, diagnosing accounting quality, forecasting earnings and cash flows, pro-forma
analysis for strategy and planning, and the determination of price/earnings (P/E)
and market-to-book (P/B) ratios. Prerequisite: MGMT 505. 4 credits. Traditionally
offered spring and fall semester.
Levels: Graduate, Undergraduate
-
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
This course introduces the field of consumer behavior through examining the aspects
that underlie consumer decisions and relating this understanding to market issues.
Pre-requisite: MGMT 506. Offered as needed. credits 4
Levels: Graduate, Undergraduate
-
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.
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
This course begins with an emphasis on one individual leading a team of individuals.
However, over time the teams take a shared leadership model, whereby participants
learn how to distribute leadership within their teams. Students will work in project
teams to learn the process of implementing and leading a project team. Teams work
both face-to-face and through technology to learn how to function effectively as a
virtual team. The team and project leadership literature provides readings for this
course. Traditionally offered spring semesters. credits:4
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
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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
