MSBA/MSA Dual Degree (Archive 2018-2019)

1.00

SBS 700 is the first required course in Suffolk's graduate programs. The course is based on the precepts of experiential learning. Based on the idea that people learn best by participating in meaningful activities, this course provides students with the opportunity to learn about and experience first-hand the many complexities of business and the role of top managers. To accomplish this, students will work in small groups as they take on the roles of top managers in a hands-on behavioral simulation.

3.00

This course is required for MSA and MSF students and it is also a recommended elective for MBA students with a finance concentration. This course develops an understanding of the concepts, tools, and applications of economics at both the micro and macro level. The focus is on how economic analysis influences decision-making in the public and private sectors and how economic tools can enhance managerial effectiveness and organizational efficiency. The economic role of government and its impact on the business environment in a market economy, the factors that influence firm performance and competitiveness, and the role of financial institutions in the current economic environment are discussed throughout the course.

3.00

This course introduces students to the concepts and applications of data analytics on large data sets for managerial decision making. Students will learn foundation skills needed to extract valuable information out of data, including various descriptive and predictive analytics techniques. Students develop knowledge of data visualization and interpretation coupled with conveying data, results and insights. Issues on data acquisition, storage and management will be discussed.

1 course from each of the following groups: MBA-615 or SBS-603; MBA-625 or SBS-604; MBA-640 or ACCT-800; These courses may be taken prior to or concurrently with MBA-650.

3.00

This course introduces the basic principles of corporate finance. The main focus is on fundamental principles such as time value of money, asset valuation, and risk and return tradeoff. Topics to be covered also include cost of capital, capital budgeting, and capital structure.

3.00

This introductory-level accounting course provides students with a solid base in accounting fundamentals, including U.S. GAAP, the conceptual framework, nature of accounts, journal entries, and ultimately, financial statements. Provides in-depth coverage of the process by which accountants analyze, journalize, post, and summarize transactions. Reviews and analyzes multiple examples of current "real life" financial statements. The students would practice data analytics through the analysis of companies' financial ratios. The course includes a discussion of ethical issues facing accounting professionals and time value of money techniques. For MSA, GCA, & MST students, this is the first course in the financial accounting sequence. For MBA students, this potential elective course builds upon concepts learned in MBA 640.

3.00

Examines the concepts and practices of cost measurement: variable costing, cost-volume-profit analysis, goal setting and performance monitoring, standard costing, and variance analysis. Students learn how to prepare a financial plan for a business by constructing operating, working capital, and capital budgets. Students study and practice Excel skills and how those are used to build a financial plan, analyze the sensitivity of the financial plan to different changes, examine performance, and measure and control overhead costs. Students study data analytics techniques and perform analyses in support of decisions, such as pricing, setting product line and customer profitability policy, sourcing of products and services, and matching costing systems to strategy. For MSA, GCA, & MST students this is the first managerial accounting course you will take. For MBA students, this potential elective course builds upon concepts learned in MBA 640.

3.00

Examines the philosophy and practice of substantive law affecting the formation, operation and discharge of commercial transactions, contracts, and business associations. Topics include: agency, partnership, corporation and trust forms of association. Considers aspects of property law and international dimensions.

ACCT-800 or MSA Program Director permission

3.00

This is the first of two intermediate-level accounting courses that build on students' learning in ACCT 800, going in-depth into measurement and reporting of asset, liability, and stockholders' equity accounts for external financial reporting purposes. Discusses pronouncements of authoritative sources such as the SEC, AICPA, and the FASB. Introduces students to IFRS and their similarities to and differences from U.S. GAAP. Develops strong critical thinking and problem-solving skills.

ACCT-801 or MSA Program Director permission

3.00

This is the second of two intermediate-level accounting courses. The critical thinking and problem-solving skills developed in ACCT 801 are broadened as this class tackles more complex accounting concepts, including: dilutive securities, earnings per share, investments, revenue recognition, income tax accounting, pensions and leases. Since accounting for many of these areas has been a source of substantial debate and major revisions in recent years, subject matter covered will be topical. Pertinent pronouncements of standard-setting bodies continue to be studied.

ACCT-800 or MBA-640

3.00

Introduces the field of auditing, with a concentration in auditing historical financial statements in accordance with generally accepted auditing standards, and some exposure to auditing the internal control over financial reporting of large public companies. Covers the environment, standards, regulation, and law of auditing in the US, with some exposure to the international environment. Covers audit planning, risk, and materiality assessments, audit evidence, evaluation of internal control, documentation, and audit reports. Includes researching and resolving practice-oriented problems and practice in using computer-assisted audit techniques and electronic confirmations.

ACCT-800 or MBA-640

3.00

Describes various transaction processing cycles and their use in the structured analysis and design of accounting information systems. Students gain an understanding of Enterprise Resource Planning softwares, Quickbooks, database design, XBRL, implementations of internal controls, and privacy and data security issues.

ACCT-800 or MBA-640

3.00

Imparts an understanding of differences among nations in approaches to disclosure and choices of accounting measurement systems. Students learn about the influence of the IASB and IOSCO on multinational accounting harmonization, contrasting historical cost/purchasing power accounting with other accounting approaches, including current value accounting. Students will assess how differences in industrial and ownership structures affect accounting performance measurement. Students will also analyze risk management, accounting for derivative contracts, consolidation accounting, budgetary control, and transfer pricing in a multinational company.

3.00

Focuses on the federal income taxation of individuals with some discussion of business taxation. Explores the basic structure of individual income taxation, including the individual tax formula, income, deductions, and credits, and provides an introduction to property transactions. Emphasizes how tax laws affect everyday personal and business decisions.

3.00

Analyzes various real world business problems and explores the full scope of MS Excel's formulas, functions and features to create data models and present solutions. Students analyze data, design custom charts, graphs, PivotTables and Pivot charts, create three-dimensional workbooks, build links between files and endow worksheets with decision-making capabilities. Students conduct What-If Analysis, utilizing Scenario Manager, Solver, Data Tables and Goal Seek. This course provides the skills necessary to pass the Microsoft Office Specialist Certification in Excel.

This course was formerly ISOM-815

3.00

Introduces the importance of information as an organizational resource, role of big data in organizations, and the application of tools to provide high quality information. Students will be able to select the most appropriate data management tool (e.g., SQL vs. non-SQL databases) to business scenarios. Develops the skills needed to succeed in today's big data environment through the application of data management techniques, cases and exercises. Students will become proficient in designing databases using entity relationship modeling and normalization, in building and querying databases of various sizes with Access and SQL (an industry standard), preparing high quality data and applying data visualizing techniques. Students will complete a series of business-oriented hands-on exercises, prepare cases, and complete projects on database design and big data.

3.00

Provides students with an understanding of the nature of enterprise integration and enterprise software, business process reengineering, the implementation within organizations, and strategies for maximizing benefits from enterprise systems. To manage complex business processes in today's multi-national, wired and wireless world, firms need integrated software packages to manage their global business. Enterprise Resource Planning (ERP) systems are used to support a wide range of business functions for all companies across industries. With ERP systems, business managers are able to make decisions with accurate, consistent, and current data. Intensive lab projects on the SAP ERP System with real life business scenarios are utilized to reinforce understanding of enterprise systems functionality and business process concepts.

3.00

This course teaches students how to build and maintain data warehouses, and how to analyze and use this data as a source for business intelligence and competitive advantage. Students study data mining concepts and the use of analytics tools and methods for producing business knowledge. Topics include extraction, transformation and loading; decision support systems; text, web and data mining models as well as data presentation/visualization including dashboards, scorecards and various charts. Students build a data warehouse and practice the extraction and filtering process used to produce high quality data warehouses. Students will use tools such as MS Excel, SAP Lumira, Tableau and SAP Business Warehouse.

3.00

Predictive analytics make predictions about unknown future events. It is crucial for companies to ask the right questions, perform rigorous analysis, and take actions that will result in the most desirable outcomes. This course develops students' capability in applying the core concepts and techniques of predictive analytics to identify opportunity, recognize patterns, predict outcomes, and recommend optimal actions within the context of organizational decision-making. Topics include: business analytics life cycle, data pre- processing, linear and nonlinear regression, tree-based methods, model assessment and selection, and resampling methods.

ACCT-802, ACCT-805, and ACCT-865 (previously or concurrently) or program director approval

3.00

This student driven course develops professional and leadership skills that are needed to serve effectively as senior financial professionals in a challenging global economy. In this course students develop their independent learning and research proficiencies by investigating developing areas of accounting practice. Students broaden their appreciation of the accountant's role as a business advisor by examining current challenges for the accounting profession, considering the impact that professional activities have on various stakeholders, and how responsibilities of the profession are evolving in response. Students will develop their awareness of the activities of policy makers and standard setters such as the SEC, FASB, and AICPA. Finally, students develop their effectiveness as professional colleagues throughout the semester by actively working on their professional skill set including: data analytics, business writing, oral presentations, team building, and leadership.

Take ISOM-835

3.00

This course is built upon the predictive modeling course and covers a broad collect of data mining and business intelligence techniques, including logistic regression, discriminant analysis, support vector machines, clustering methods, network analysis, association rule mining, text mining, etc. It focuses on turning data into business intelligence and eventually use data and analytics to create business value. The course takes a holistic approach of business analytics, starting from identifying and defining business questions, evaluating data quality, cleaning and preparing data to selecting models, interpreting outcomes, and communicating analysis and results to technical and management audiences. Throughout the course, students are involved in hands-on analysis using large sets of real data from a variety of industries. A term project and a formal presentation of the project are required.