ACCT.6020 Advanced Management and Sustainability Accounting (3cr)
In the new environment of change, accountants are increasingly called on to support strategy through increasing efficiencies and reducing costs. This course will examine the different ways that accountants can add value through an understanding of value chain activities, use of technology, and extending value chain activities to develop a sustainability strategy.
Notes:
If not currently matriculated in a Manning School of Business program, please contact the MBA staff at MBA@uml.edu or call 978-934-2848 for permission to take courses.
Requirements:
Pre-req:MSA or(non-MSA 60.601)
ACCT.6050 Government and Non-Profit Accounting (3cr)
This course introduces students to financial accounting and reporting issues related to stat and local government and non-profit organizations. Students will learn how to prepare, analyze, and interpret these entities financial statements.
Requirements:
MSA Program
ACCT.6120 Advanced Cost Management (3cr)
An examination of cost data in ambiguous situations to assist managers in decision-making and strategy implementation. Emphasis is placed on advanced cost management for strategic planning, management control and, performance evaluation in multinational business entities.
Notes:
If not currently matriculated in a Manning School of Business program, please contact the MBA staff at MBA@uml.edu or call 978-934-2848 for permission to take courses.
Requirements:
MSA or MBA; found.core; 60.601
ACCT.6220 Globalization and Accounting (3cr)
What role do accountants play in the globalizing business environment? This course will explore this topic, emphasizing global capital markets and financial reporting, the impact of global organizational structures and information systems on managerial accounting, and complex issues of audit and taxation that emerge in this global environment. To appreciate the impact of globalization, the course will consider such aspects as variations in the currencies, cultures, history, ethical issues and legal systems of different regions of the world, emphasizing how managers need to consider global opportunities and risks in their decision-making manage effectively.
Notes:
If not currently matriculated in a Manning School of Business program, please contact the MBA staff at MBA@uml.edu or call 978-934-2848 for permission to take courses.
Requirements:
MSA student; MBA students who have completed ACCT.6010.
ACCT.6230 Contemporary Accounting Issues (3cr)
Significant and rapid changes in accounting rules are impacting the financial reporting and analysis that management uses to make business decisions. This course will explore contemporary accounting topics that accounting professionals will face in the workplace and how the accompanying requirements are changing the way that companies and their business partners use, report, analyze, and interpret financial data. Subjects covered will vary as conditions change but may include International Financial Reporting Standards (IFRS), Fair Value Measurements, Post-Retirement Benefits, Revenue Recognition, or other current accounting topics.
Notes:
If not currently matriculated in a Manning School of Business program, please contact the MBA staff at MBA@uml.edu or call 978-934-2848 for permission to take courses.
Requirements:
Matriculated MBA
ACCT.6300 Taxation of Business Entities (3cr)
This course provides coverage of gross income and business deductions, and provides a comprehensive overview of the taxation of corporations, partnerships, and sole proprietorships. This course will also cover the history of federal taxation, estate and gift taxes, and how the taxation of business entities fits into the entire tax system.
Requirements:
MSA or MBA;found.core;60.601
ACCT.6400 Financial Accounting Theory and Research (3cr)
A comprehensive exposure at an intermediate level to accounting theory and practice. Emphasis is placed on applying underlying accounting theory to complex accounting measurement problems. The effects of alternative methods are considered throughout the entire course.
Requirements:
MSA or MBA;found.core;60.601
ACCT.6450 Fraud Examination and Forensic Accounting (3cr)
This course introduces students to forensic accounting, with a significant focus on fraud examination, elements of fraud and the types of fraud schemes, including fraudulent financial statements, asset misappropriation, corruption, and money laundering. This course will focus on how professionals including business owners, executives, managers and accountants will benefit from understanding the causes, types and scope of fraud, fraud prevention, fraud detection, and fraud investigation. This course will cover management fraud, employee embezzlement and other types of fraud. The principles and methodology of fraud prevention, detection and investigation (e.g., forensic accounting) will be discussed. Students will develop skills in this course which will help them in multiple professions.
Requirements:
MSA or MBA;found.core;60.601
ACCT.6550 Advanced Auditing and Audit Analytics (3cr)
This course provides a more in-depth study of auditing topics including judgment and decision making, analytical procedures, and the use of data analytics to audit financial statement accounts.
Requirements:
MSA students, or permission
ACCT.6600 Accounting Data Analytics (3cr)
Topics to be covered in this course include managing and leaning data, building and evaluating models, visualizing the results of data analyses, and drawing conclusions from the analytics. A series of accounting topics with data analytics application will be discussed, such as fraud and earnings management detection, and financial statement analyses. Students should leave this course with skills necessary to understand data and manage data, to translate accounting and business problems into actionable proposals, and to present data/results to managers and data scientists.
MIST.6030 Database Management (3cr)
This course provides students with in-depth knowledge for modeling, designing, implementing, and managing database systems for operational and decision support purposes. Topics covered include relational database model, entity-relationship modeling, normalization, SQL language, data warehousing, data quality and integration, data and database administration, and object-oriented database.
Requirements:
MIST.6010 Management information systems, and
Matriculated MS Business Analytics, or Business
Analytics Certificate, or Permission of Program
Coordinator.
MIST.6060 Business Intelligence and Data Mining (3cr)
This Course introduces the concepts and technologies of business intelligence and data mining. The course studies how data-oriented business intelligence techniques can be used by organizations to gain competitive advantages, as well as how to design and develop these techniques. Topics include classification, clustering, association analysis, prediction, and text and web mining. Data-mining related ethical issues will also be discussed.
Requirements:
MIST.6010 Management information systems, and
Matriculated MS Business Analytics, or Business
Analytics Certificate, or Permission of Program
Coordinator.
MIST.6140 Social and Economic Networks (3cr)
This course introduces the concepts and technologies of social network analysis. The course studies how social media analytics can be used by organizations to gain competitive advantages, as well as how to develop and implement the techniques of network analysis. We cover graph theory, graph database, social influence , community detection, information diffusion, and applications of network analysis of recommendation and feature selections. Upon successful completion of this course, students will possess a working knowledge of many concepts of social media analytics and associated techniques and will be able to solve real-world data-driven decision problems at strategic, tactical, and operational levels.
Requirements:
MIST.6010 Management Information Systems, or Matriculated MS Business Analytics or permission of program coordinator.
MIST.6150 Data Quality for Business Analytics (3cr)
This course provides students with knowledge and skills to process data for business analytics. Topics include data quality requirement and data preparation for business analytics, impact of data quality on analytics, and methods for assessing and improving data quality in the context of business analytics.
Requirements:
MIST.6010 Management information systems, and Matriculated MS Business Analytics, or Business Analytics Certificate, or Permission of Program Coordinator.
MIST.6160 Advanced Data Mining (3cr)
The course will cover advanced data mining techniques with applications in different business domains. Students will be introduced to advanced analytic solutions aimed at addressing issues related to big data including volume, variety, and velocity. Topics will focus on performing descriptive and predictive analytics through programmatic analytic platforms as well as text analytics techniques for unstructured or semi-structured data. Concepts will be introduced through a hands-on approach using state-of-the-art analytic platforms and tools.
Notes:
If not currently matriculated in a Manning School of Business program, please contact the MBA staff at MBA@uml.edu or call 978-934-2848 for permission to take courses.
MIST.6170 Advanced Machine Learning (3cr)
This is an advanced course on machine learning and data science for business. In this course, students learn how to analyze, design and develop machine learning techniques and tools for business analytics. Applications to both strategic and operational problems in today's data-driven ecosystem will be discussed. Topics include supervised learning, unsupervised learning, statistical learning, ensemble learning, model and performance evaluation, text feature learning, text analytics, artificial neural networks, deep neural networks, deep learning, and machine-learning and Al related privacy and ethical issues. The course will be taught using Python programming language.
POMS.6120 Statistics for Predictive Analytics (3cr)
This course introduces statistical methods and techniques for predictive analytics. This is part of the business-analytics umbrella of courses. The main focus of this course is on regression, a powerful and widely used predictive method. Topics covered include simple linear regression, multiple regression, variable selection, model diagnostics, and systems of regression equations. The course also covers classification techniques using statistical methods such as linear discriminant function and logistic regression. Spreadsheet software, such as MS Excel, and statistical software, such as SAS and R, will be heavily utilized.
Requirements:
POMS.6010 Operations Management, or
Matriculated MS Business Analytics, or Business
Analytics Certificate, or matriculated MS
Engineering Management, or permission of
program coordinator.
POMS.6220 Decision Analytics (3cr)
This course covers the three main facets of business analytics: descriptive, predictive, and prescriptive analytics. Students will gain the knowledge of managerial decision-making (commonly referred to as data analytics, decision support systems-DSS, data mining). Some of the business analytic topics covered include neural networks, decision trees, support vector machines, k-means, association rule mining, Analytical Hierarchy Process, Data Envelopment Analysis, expert systems, optimization, and simulation.
Requirements:
POMS.6010 Operations Management, or
Matriculated MS Business Analytics, or Business
Analytics Certificate, or matriculated MS
Engineering Management, or permission of
program coordinator.
POMS.6240 Analytical Decision Making Tools (3cr)
This course covers principles and techniques of applied mathematical modeling for managerial decision making. Emphasis is on the methods of prescriptive analytics, including optimization models, decision analysis, simulation modeling, and risk analysis. Problems studied will include applications in finance, health care, marketing, operations, and management. Cases studies will be used extensively to demonstrate the practical use of models to improve managerial decision making. In addition to developing and applying models, emphasis will be placed on explaining the models and interpreting their results.
Requirements:
POMS.6010 Operations Management, or
Matriculated MS Business Analytics, or Business
Analytics Certificate, or matriculated MS
Engineering Management, or permission of
program coordinator.