165 courses with the subject BUS, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
Non-credit workshop for business majors which will cover various topics such as, but not limited to, graduation requirements, writing skills, career planning and ethics. Attending the Business Workshop is required for all students to become a Business Major.
Non-credit competency exam and tutorial demonstrating ability to carry out required Excel functions. Successful completion of Excel competency exam is required of all Business majors.
Selected topics courses are regularly scheduled courses that focus on a particular topic of interest. Descriptions are printed in the Schedule of Classes each semester. Selected topics courses may be used as elective credit and may be repeated for credit, provided that the topic of the course changes.
Introduction to basic accounting principles for measuring and communicating financial data about a business enterprise to external parties. Topics include the accounting information system and the recognition and measurement of financial statement information. NOTE: Accounting majors must earn a C+ or better to advance to BUS202.
Introduction to measurement and communication of the financial information needed by management. Topics include product costing, cost behavior, cost-volume-profit analysis, and budgeting. NOTE: Accounting majors must earn a C+ or better in BUS201 to enroll in this course.
Explore the basic techniques related to data wrangling. Based on R platform, topics include basic programming technique, importing/exporting data files, creating and modifying data frames, working with strings, categorical data, date/time variable, and variable transformation, tidy data, reshaping data, treating missing values, aggregating data, presenting data results, etc.
An interdisciplinary exploration of sustainability frameworks across global cultures and civilizations throughout history.
Introduction to managerial roles and functions. Topics include planning, organizing, controlling, leading in organizations, foundations of managerial thought, and the processes that lead to organizational effectiveness.
Influence of the American legal system and ethical concepts on the conduct of business. Topics include corporate social responsibility, business organizations and regulations, contracts, agency, litigation and dispute resolution, torts and crimes, and employment law.
Continued analysis of laws relevant to accounting and finance. Topics include the Uniform Commercial Code, real and personal property, the Sarbanes-Oxley Act, securities regulation, mergers and acquisitions, bankruptcy, insurance trusts, estates, and accountants' progressional responsibility.
Selected topics courses are regularly scheduled courses that focus on a particular topic of interest. Descriptions are printed in the Schedule of Classes each semester. Selected topics courses may be used as elective credit and may be repeated for credit, provided that the topic of the course changes.
May be repeated for credit
May be repeated for credit
Coverage of topics that prepare students for internships and their career, including identifying prospective employers, writing an effective resume, networking, interviewing skills, ethics, and corporate culture.
Introduction to statistical analysis for business and economic decisions. Topics include descriptive statistics, probability theory, random variables, expected values, sampling distributions, and statistical inference to include estimation and hypothesis testing.
Continued coverage of statistical analysis for economic and business decisions. Topics include hypothesis testing, analysis of variance, multiple regression analysis, and non-parametric statistics.
Study of analytical tools used for managing operations. Topics include forecasting, product/process design, inventory management, project management, supply chain management, and quality management.
Study research and its application to organizational behavior. Topics include perception, personality, attitudes, motivation, leadership, communication, group dynamics, decision making, and organizational change. Students may not take both this course and PSY383 for credit.
Analysis of major theories dealing with organization characteristics and processes. Topics include decision-making, the organizational environment, and the changing nature of organizations in contemporary society.
Provides a broad overview of entrepreneurship, including identifying business opportunities, gathering funding for and launching a business, growing the organization and harvesting the rewards.
Introduction to the principles of marketing. Topics include consumer behavior, marketing research, segmentation, targeting, and positioning strategy, marketing mix elements.
Study of consumer behavior using social science concepts. Topics include buyer decision making, product and service choice, motivation and attitudes of consumers, and shopping behavior.
Discussion of how the sales force and management team contribute to developing and executing a firm's marketing strategy. Topics include selling techniques, customer relationship management, territory management, and training, compensating and evaluating the sales force.
This course is the foundation for a food marketing track. The objective of the course is to familiarize students with the global food industry at all levels and in all segments. Basics of food distribution, wholesaling and retailing, both on the retail and foodservice sides of the business will be covered. The course will also cover the critical issues impacting the industry including the decline of food at home, the growth of foodservice and the food-away-from-home-market, the impact of consolidation, increasing concentration and globalization on the industry’s structure, conduct and performance. The course may include both tours of food facilities and industry speakers.
This course is the foundation for a food marketing track. Food category management focuses on retailing and purchasing data to analyze groups of products purchased by a business organization or sold by a retailer. The course content will include proficiency in industry knowledge, category management history and process, pricing analysis, promotion analysis, assortment analysis, spreadsheet development, presentation development, syndicated scanner data methodologies, consumer panel data applications, retailer point of sale data analysis, space planning software and relational databases.
Introduction to basic financial concepts and their application to business enterprises. Topics include financial analysis and forecasting, time-value of money, risk and return, security valuation, and capital budgeting techniques. Students must earn a C+ or better in BUS341 to advance to BUS441, BUS443, BUS445, BUS447, and BUS459.
This course introduces accounting analytics, covering basic tools and techniques for analyzing financial and non-financial data, making informed decisions, and solving accounting problems, with a focus on practical applications.
Study of concepts and applications used in the human resource function in organizations. Topics include human resource statgegy, recruitment, selection development, training, compensation, performance appraisal, retention, and legal issues in human resources.
Discussion of international business concepts with a focus on doing business in non-western countries. Topics include globalization; country differences in economic, political, legal, cultural, and ethical environments; cross-border trade and strategic and managerial issues facing firms engaged in international activities.
Examine real world examples of how analytics have been used to transform a business or industry. Cover the following analytics methods and how to implement them: linear regression, logistic regression, trees, clustering and visualization.
Introduces the fundamental quantitative techniques of using data to make informed management decisions. Topics include decision analysis, probability, simulation, linear optimization, nonlinear optimization and discrete optimization.
This course introduces the design of modern databases to collect, organize, and share data for various business transactional and decision support needs. It covers common database architectures, such as the relational databases and data warehousing schemas.
Focuses on development of leadership skills. Course consists of hands-on exercises and activities designed around the goal of personal leadership growth.
Study of the Internet's impact on the conduct of business in various industries. Topics include e-business models and the key strategic marketing issues for conducting business online.
Study of the main ideas and fundamental technology underlying the development, implementation, and use of modern Accounting Information Systems (AIS), and the relationship of AIS to business processes and internal controls. The use of software packages for processing accounting information.
Coverage of financial accounting and reporting for business entities. Topics include the accounting information system, the conceptual framework, financial statements, and recognition and measurement of cash, receivables, inventory, plant and equipment, and intangible assets. Students must earn a C+ or better in BUS368 to advance to BUS369.
Continued coverage of financial accounting and reporting for business entities. Topics include accounting for liabilities and shareholders' equity, income taxes, financial instruments accounting changes and error corrections, the statement of cash flows, and additional topics of current interest.
Introduction to principles underlying the U.S. federal income tax system. Emphasis on individual income taxation with some coverage of corporate and partnership taxation.
Development and use of quantitative information for management decision-making. Topics include cost accumulation and control, job order and process cost systems, standard costs and variance analysis, and performance evaluation.
Introduction to the attest function and the independent auditor's role in society, with a focus on audit concepts and tools, including computerized auditing.
Introduction to real world basic stock, bond, and mutual fund investing strategy, investment vocabulary, practical application of portfolio construction, and methodology for making sound investment decisions. Students utilize trading software and participate in an investment competition. The course is designed to complement theoretical classes in a practical manner.
Presents a scientific and systematic approach to business data analytics. Topics include dimension reduction, K-nearest neighbor algorithms, neural networks, Logistic regression model building, association rules, and advanced model evaluation and cost-benefit analyses. Results are interpreted with clients in mind.
Supply chains are complex systems involving multiple businesses and organizations with different goals and objectives. Many different analytical methods and techniques are used to better design and manage supply chains. This course focuses on the application of these methods, no necessarily to theoretical underpinnings.
This course focuses on the use of quantitative tools to support marketing planning decisions and the objectives of this course are to introduce students to state-of-the art marketing analytics and to teach them how to practically apply these analytics to the real-world business decisions.
Analytics methods applies to health care. Topics include statistical auditing in healthcare finance, quality of care, predictors of health care outcomes and the application of social networks in epidemiology.
Teach students practical and empirical approaches to analyze business time series data. Several approaches will be presented to understanding structure of data, on checking the validity of model, and on forecasting data.
Covers sophisticated business data analytics methodologies for complex real-world scenarios. Methodologies include Bayesian networks, cost-benefit analysis for trinary classification models, Kohonen networks, imputation of missing data, and model voting. Emphasis on interpreting output for business clients.
Data visualization is an important visual method for effective communication and analyzing large datasets. Through data visualizations we are able to draw conclusions from data that sometimes are not immediately obvious, and interact with the data in an entirely different way. This course will provide you with an informative introduction to the methods, tools and processes involved in visualizing big data.
Introduction to financial modeling and data analysis. Topics include application of asset pricing models, risk measurement, bond market data analysis, interest rate term structure modeling, commodities market data analysis, valuation of swaps and bootstrapping zero-coupon curve, and stochastic process.
Selected topics courses are regularly scheduled courses that focus on a particular topic of interest. Descriptions are printed in the Schedule of Classes each semester. Selected topics courses may be used as elective credit and may be repeated for credit, provided that the topic of the course changes.
Restrictions: Must not be enrolled in the following class: Freshman
Restrictions: Must not be enrolled in the following class: Freshman
An undergraduate level seminar for business analytics majors. Survey the fundamentals of business analytics by reading current research papers and books in this area. Topics vary from year to year.
Provides a study of principles in the field of leadership. Topics include the importance of leadership, leadership behaviors, leadership styles, ethics, power, development, communication, and conflict resolution.
Focuses on new product and business opportunities within an established company or a new venture. Topics include innovation, product/service development, and new venture financing. Students will analyze new venture feasibility, resource mobilization, and management of new ventures.
Covers major opportunities and challenges facing social entrepreneurs and their ventures, including how to imagine and evaluate desired social change.
Examination of the research process used in marketing decision-making. Topics include survey methodology, sample selection, fieldwork, tabulation, statistical analysis of data and report writing.
Discussion of advertising and promotion programs. Topics include integrated marketing communications, behavioral responses to advertising, advertising budget controls, the Internet as an advertising medium, advertising research, and strategic applications for the brand management.
Formulation and implementation of marketing strategies for organizations. Emphasis on marketing decision-making and its integration with the manufacturing and financing dimensions of an organization.
Focus on marketing management issues in the international environment. Emphasis on how different cultures and environments impact marketing programs.
Coverage of management issues faced when doing business across cultures. Topics include culture, diversity, cross-cultural communication and negotiation, motivation and leadership across cultures, and international human resource management issues.
This course will explore the many dimensions and challenges of global venture creation and growth. The course offers a framework for understanding the entrepreneurial process in global contexts and exposes students to key issues and problems specific to international ventures.
Introduction to long-term investment and financing decisions of the business enterprise. Topics include capital budgeting techniques, project valuations and analysis of risk, cost of capital, capital structure, dividend policy, and leasing evaluation.
Accounting for business combinations, consolidated entities, partnerships, governmental and not-for-profit organizations, and multinational entities.
Focus on theory and quantitative tools for managing financial assets and portfolios. Topics include investment fundamentals and markets, buying and selling strategies, risk and return, diversification, portfolio theories, global investing, and valuation of financial instruments.
Discussion of financial management in the international context. Topics include international financial markets, exchange rate behavior and management of its risk, international banking, and multinational financial management.
Management of personal finances and investments. Topics include monitoring household wealth, developing a personal financial plan, managing liquidity and credit, financing a home, using insurance, retirement and estate planning, and investing in financial assets.
Formulation and implementation of business strategies for competitive advantage. Case analysis is used to develop analytical, communication, and team-work skills. This capstone course fulfills the writing intensive course requirement for all business majors.
Students complete an international business-oriented consulting project for a company in global virtual teams. Culture, cross-cultural communication, and managing global virtual teams are topics covered in class. Discussion, reflection, and personalized feedback relate to working effectively in global virtual teams.
Applied learning of a digital marketing analytics platform and its marketing applications. Topics include the platform's analytics layout, reporting, campaign and conversation tracking, data collection and analysis tools, segmentation, targeting, and other marketing applications.
Preparation of basic federal and New York State income tax returns as a service to the college and local communities.
Students learn the practical aspects of investment management and act as portfolio managers to create and manage their own investment portfolios under real-time market conditions. Satisfies applied learning requirement for undergraduate business majors.
This course equips students to manage environmental and social sustainability in organizations. Through an applied project, students integrate sustainability principles, financial analysis, and systems thinking to develop implementable strategies that drive positive organizational impact and increase firm performance.
Application of theories, techniques, and strategies from organizational behavior and human resource management. Provides students with practical tools for dealing with the challenges presented by today's highly competitive and dynamic business environment.
This course will focus on the skills needed to start a business. Topics include identifying markets, developing business plans, and financing operations. Working in teams, students create business plans and may present them to a team of judges.
Project manager is often a first step into management. Projects are temporary activities that have a clear goal and end point. Lectures, exercises, and team projects, will develop operational, design, personnel, budget, and communication skills.
Introduction to basic concepts of derivatives, risk analysis using quantitative tools and the use of derivatives in risk managment. Topics include Introduction to financial derivatives (forwards, futures and options); Risk management strategies using derivatives, forward and futures pricing theories and Black-Scholes option pricing model.
In this capstone class students integrate the knowledge they have gained in the core curriculum in a project presented in a seminar. Students in this course will review and explore the analytics methodologies and associate risk analysis and risk assessment.
Selected topics courses are regularly scheduled courses that focus on a particular topic of interest. Descriptions are printed in the Schedule of Classes each semester. Selected topics courses may be used as elective credit and may be repeated for credit, provided that the topic of the course changes.
Supervised experience in a business environment.
Supervised study and research.
Non-credit competency exam and tutorial demonstration ability to carry out required Excel functions.
This course introduces MBA students to the accounting information system and to the financial statements prepared for external users. Topics include the accounting cycle, the preparation and evaluation of financial statements, concepts of revenue and expense recognition, and the valuation of asset, liability and equity accounts.
Coverage of topics that prepare students for internships and their career, including identifying prospective employers, writing an effective resume, networking, interviewing skills, ethics, and corporate culture.
This course is designed to provide graduate-level business students with exposure to (1) the evolution of management thought, (2) the four functions of management, (3) various theories and empirically derived principles, and (4) contemporary issues related to process and practice. Students will engage in problem-solving through individual and team-based business case analyses and research projects.
This course is an introduction to the principles and practice of marketing. A major part of the course involves a review of the four elements of the marketing mix: product, price, place, and promotion. The course provides the knowledge and skills that students need for taking the marketing management course.
This course conveys major issues facing a financial manager: financial statement analysis, discounted cash flow analysis, time value of money, the risk-return tradeoff, and the valuation of financial assets. This course also examines capital budgeting, financial planning, asset management, cost of capital, long-term financing through debt and equity, and multinational financial management.
Students will learn about the principles and standards of financial accounting, and then prepare, interpret, analyze corporate financial statements.
This course is an introduction to probability and statistics. Main goal is to teach students how to apply various statistical concepts to decision making under uncertainty. After this course, students should be able to analyze data and relationships among variables using both descriptive and inferential statistics, and to evaluate and update decision alternatives so that they can find solutions to real life business problems.
Using accounting information to achieve management objectives. Topics include budgeting, cost behavior and costing systems, relevant information and decision-making, performance analysis, control systems and responsibility accounting. (This course is only for general MBA students, not CPA track MBA students.)
The course is designed to provide a strong foundation in microeconomic theory for managerial and decision making. It emphasizes the "economic way of thinking" about real-world business/management curriculum such as finance, cost accounting, marketing, business strategy and quantitative analysis. The goal is to reinforce what students have learned in other courses and provide a foundation for future course work and beyond.
This course expands upon coverage of financial accounting and reporting for business entities after the introductory course Financial Accounting (or its equivalent). Topics include special financial statement disclosures as well as accounting for current assets, long-term investments, long-lived assets including intangibles.
Development and use of quantitative information for management decision-making. Topics include cost accumulation and control, job order and process cost systems, standard costs and variance analysis, and performance evaluation.
Introduction to principles underlying the US federal income tax system. Emphasis on individual income taxation with some coverage of corporate and partnership taxation.
Focuses on the integration of information and operations strategies to enhance competitive advantage. Topics include global supply chain management, enterprise resource planning, artificial intelligence, cloud computing, information security, and their legal and social impacts.
Evolving legal issues facing artists and entertainers, as well as the industry of managing artists and entertainers. Addresses key legal aspects of intellectual property rights, contracts, negotiation strategies, financing, torts, employment law, general business law, challenges of being a freelance artist, litigation, and the impact of digital distribution channels of creative works.
This course is a continued coverage of financial accounting and reporting for business entities after Theory of Financial Accounting II. Topics include accounting for liabilities and shareholders' equity, income taxes, financial instruments, accounting changes and error corrections, the statement of cash flows, and additional topics of current interest.
Focuses on developing analytical skills mainly formulating problems, collecting data and interpreting the results using quantitative methods such as statistics and/or optimization tools.
Critical analysis of issues facing firms in a dynamic global environment. Discussion of external factors, such as country institutional differences, and internal factors, including strategic and managerial issues, faced by international businesses.
Application of applying key marketing concepts for making effective marketing decisions about products, pricing, promotion, and distribution, given a firm's goals, abilities, customers and competitors.
Development and use of financial reports in a global economy. Topics include setting accounting standards, the content of financial statements, accounting for assets and liabilities, ethical issues in accounting, and current topics facing the profession.
The role of financial markets and institutions in the capital formation process Topics covered include financial systems and the economy, debt and equity markets, depository institutions, non-depository financial institutions, financial derivative markets, and risk management.
The role of financial management in business decisions, the relationship between finance and other corporate functions, and quantitative techniques used for analysis. Topics include cash flow analysis, valuation, risk and return, investing and financing decisions, costs of capital, and capital structure.
Futures and options, derivatives markets, and their role in risk management and portfolio strategy. Topics include types of futures, pricing models and hedging strategies.
Theoretical and applied study of investment fundamentals and portfolio management. Topics include markets, trading, risk and return, valuation, portfolio theories, alternative investment instruments, global investing, and current developments.
Management of personal finances and investments. Topics include monitoring household wealth, personal financial planning, managing liquidity and credit, financing a home, using insurance, retirement and estate planning, and investing. Students prepare a personal financial plan.
Artist management explores the music business through the lens of artist/talent management and focuses on the study of concepts and skills relating to entrepreneurship and entertainment trends in the contemporary music business industry.
Introduction to the attest function and the independent auditor's role in society, with a focus on audit concepts and tools, including computerized auditing and use of Audit Data Analytics.
Financial management concepts and techniques for the health care industry. Topics include the regulatory environment, costs and revenues, accounting reports and budgets, financial statement analysis, and capital planning.
Analysis of key financial decisions within the global framework. Topics include international financial markets, exchange rate behavior and management of its risk, international banking, multinational financial management, and multinational strategic planning.
Discussion of Marketing opportunities in a globally competitive environment. Topics include profiling international segments, international consumer behavior, and the role of cross-culturalism in the development of marketing strategies.
This course examines accounting principles, and emphasizes accounting research, from an international perspective. Topics include comparative reporting practices, harmonization of accounting standards, accounting for international transactions and subsidiaries, management accounting issues, and accounting for changing prices with an emphasis on accounting research techniques.
Students complete an international business-oriented consulting project for a company in global virtual teams. Culture, cross-cultural communication, and managing global virtual teams are topics covered in class. Discussion, reflection, and personalized feedback relate to working effectively in global virtual teams.
Examination of the research process used in marketing decision-making. Methodology for conducting marketing research for product development, pricing, and channel selection, and the analysis of results.
Development and implementation of integrated marketing communications programs. Topics include the communication process, budget determination, strategic brand management, internet marketing and issues of monitoring, evaluation, and control.
Study of consumer behavior using social science concepts. Topics include buyer decision making, product and service choice, consumer attitudes and motivation, and shopping behavior.
Explores US heath care policy, economics and reform. Compares US healthcare policy to policies in other countries. Focuses on major health policy institutions and issues, including private insurance and state/ federal programs. Attention is given to cost and quality or healthcare programs.
Managerial and analytical competencies to assess regulatory, legal, organizational, and financial issues and to ensure quality healthcare services delivered to patients and other stakeholders. Emphasizes healthcare executive's role in setting strategy, building a strong management team, and empowering the workforce.
Analysis of environmental and social sustainability in a business context through case studies and a semester-long project.
Coverage of the staffing process. Topics include human resource planning, recruitment, selection, measurement in selection, legal issues in staffing, job analysis, decision making, and retention management.
Coverage of the process of training and development. Topics include needs analysis of organizational objectives, strategies for designing training and development programs, and the evaluation of training programs.
Understanding and managing organizational change in a turbulent environment. Topics include action learning, the collaborative inquiry process, methodologies for implementing change interventions, and models of change and development.
Theory, research, and applications in major areas of human resource management. Topics include human resource strategy, recruitment, selection, development, training, compensation, performance appraisal, retention, leadership, and legal issues in human resources.
Study of classic and contemporary theories in micro organizational behavior. Topics include perception, personality, attitudes, motivation, leadership, communication, group dynamics, decision making, power, influence, and organizational change.
Study of theory and applications in the field of leadership as it relates to business. Topics include leadership traits and behaviors, power and influence, situational and contingency leadership, ethics and values in leadership, motivation, and team leadership.
Provides students with the core knowledge and foundation to plan, finance, develop, launch and grow a music or arts organization. Focus is on entrepreneurial approaches to building a music business and long-term career.
This course is intended to provide students in the MBA program with a firm grasp of the function of computer-based information systems in modern business organizations. Students should come away with a working knowledge of which information systems are best suited to a given company. Emphasis is placed on technical concepts fundamental to business applications and management of information systems.
This course is designed to help students understand the impact electronic commerce can have and is having on different aspects of business. The course will first examine and define trends in electronic commerce. Next, the impact electronic commerce has on several business functions, from marketing to operations, will be discussed. Once this foundation has been established, it will be possible to involve the students in applied projects, and look at where electronic commerce can still produce larger changes and improvements.
Covers mathematical programming, graphs and networks, stochastic processes, queuing theory and simulations. In addition to introducing basic theories, emphases will be put on formulations of business problems and interpretations of the output generated by computer software.
Topics include simple linear regression, multiple regression, generalized linear models, graphical analysis of model adequacy, violations of assumptions, and alternative to least squares.
Experiments are designed to identify key sources of variability in manufacturing, consumer behavior, organizational behavior, and other variables of interest to managers. Once identified, this variability can be monitored and controlled thereby improving output and reducing risk. Topics include hypothesis testing, Shewhart Charts, Cumsum Charts, randomized block designs, factorial experiments, and fractional designs.
This course is designed to address the importance of knowledge management in today's knowledge economy where knowledge is considered as the most important resource. At strategic levels, the course examines the competitive advantages an organization obtained from its knowledge processing capability and capacity. At operational levels, it introduces various knowledge systems. Design and implementation issues of those systems are addressed using hand-on projects.
This course examines the recent development in Business Intelligent Systems, including On-Line Analytical Processing, Data Mining, and Customer Relationship Management. It introduces the need of a data warehouse as the foundation for an intelligent system followed by discussions of the unique goal and design of each intelligent system. The course also addresses the role and impact of business intelligence in an organization's decision-making processes. Practical projects and computer software are used to enhance students' experience in business intelligence systems.
This course will introduce the operational, design, personnel, budget, and communication issues involved in managing projects. course objectives will be met through lectures, in-class exercises, team projects, and homework. Students' experience will enrich discussions.
Study of the main ideas and fundamental technology underlying the development, implementation, and use of modern Accounting Information Systems (AIS), and the relationship of AIS to business processes and internal controls. The use of software packages for processing accounting information.
Introduces the unique accounting principles and reporting requirements of governmental and not-for-profit entities. It emphasizes fund accounting concepts used by governments and explores financial reporting and performance evaluation for nonprofits such as hospitals, universities, and charities.
Detailed coverage of legal liability and professional responsibilities. Topics include statistical sampling, analytical review procedures, fraud detection, and computer auditing.
Financial accounting concepts, theory, and practice. Topics include recognition and measurement of assets and liabilities, accounting for leases, postretirement benefits, income taxes, and recent changes in accounting standards.
Tax issues related to various taxable entities, including corporations and partnerships. Emphasis on tax planning and tax research.
This course will focus on the skills needed to start a business. Topics include identifying markets, developing business plans, and financing operations. working in teams, students create business plans and may present them to a team of judges.
Preparation and writing of an applied research project in the concentration area under the guidance of the major professor. Required form available in the Records and Registration Office and the Office of the Department of Business Administration. Contact faculty advisor for further details.
Case studies and readings are used to build expertise in strategy formulation and implementation. This capstone experience integrates knowledge and concepts introduced throughout the program. Emphasis on application of conceptual, analytical, communication, and team-work skills.
Preparation and writing of a thesis in the concentration area under the guidance of the major professor. Two additional readers are required to approve the final thesis. Required form available in the Records and Registration Office and the Office of the Department of Business Administration. Contact faculty advisor for further details.
Selected topics courses are regularly scheduled courses that focus on a particular topic of interest. Descriptions are printed in the Schedule of Classes each semester. Selected topics courses may be used as elective credit and may be repeated for credit, provided that the topic of the course changes.
Supervised experience in a business environment.
Supervised study and research.
This course introduces Python as a primary programming language for analytics. It includes the basic Python syntax of data and type definition, selection statements, loops, function, and collections. It also introduces the important Python packages for data analytics, such as NumPy and Pandas, and the Python data analytics platform.
This course covers advanced topics in statistics that are related to business analytics. The topics include linear regressions, polynomial regression, rigid regression, logistic regression, probit models, evaluation of classification models, ordinal & multinomial logit regression.
Data wrangling is to transform data from one or multiple "raw" formats/sources into the appropriate and valuable one for a variety of downstream purposes, such as data analytics or data modeling. This course helps students to use analytics tools, such as Python, to clean data, explore data, and visualize data.
This course provides students with an in-depth understanding of the design and implementation of database warehousing for big data. It includes data warehouse modeling, manipulation, storage, and analysis; large-scale distributed data processing, such as Hadoop/Spark; large-scale NoSQL databases.
This course is designed to apply financial accounting and auditing knowledge to build skills in detecting, investigating, and preventing fraud. Students will learn fundamental concepts, principles, procedures, and methods in forensic and investigative accounting.
The course covers the analysis and preparation of data as it pertains to accounting professionals. The focuses include analytic techniques for business intelligence and the examination of “big data” involving accounting information.
This course provides the introduction to descriptive, predictive, and prescriptive analytics through the spreadsheet modeling approach. The main topics cover the basic and advanced skills working with Excel/VBA, regression analysis, forecasting, and optimizations with spreadsheet modeling.
Text analytics is the automated process of extracting meaning from unstructured text data (including the Web) to uncover insights, trends, and patterns for supporting decisions in business. This course will introduce the basic text analytics topics, including text representation, document representation, topic classification, topic clustering, sentiment analytics, and so on.
Restrictions: Must have the following level: Graduate
This course teaches the use of healthcare data to make decisions and transform healthcare delivery to improve the health of individuals and populations through research in healthcare outcome and experimental designs. This course covers topics include statistical approaches, data mining, data visualization, modeling, and forecasting. Software, applications, and methodologies for health data analytics will be introduced.
This course prepares students to effectively analyze data and improve prediction performance using machine learning approaches, and distillate useful information from a large amount of data to support managerial decision-making processes. This course covers machine learning tasks, models, algorithms, and applications.
This course will introduce basic concepts and tasks of data mining. It focuses on how to formally represent real world information as basic data types (item sets, matrices, and sequences) that facilitate downstream analytics tasks. Students will learn how to characterize each type of data through pattern extraction and similarity measures.
Deep learning is a branch of machine learning concerned with the development and application of modern neural networks. Deep learning algorithms extract layered high-level representations of data in a way that maximizes performance on a given task. It covers a range of topics from basic neural networks, convolutional and recurrent network structures, deep unsupervised and reinforcement learning, and applications to problem domains like speech recognition and computer vision.
Students will investigate how digital analytics can take a greater role in business decision-making. Specifically, students will gain an understanding of the strategic and operational aspects of social network and Web analytics tools and technologies, of how these tools can influence and create new marketing levers, and of how new marketing levers impact customer relationships, brand response, and sales.
This class offers an introduction to time series methods from both a theoretical and applied perspective. Students will learn the theory of stationary and non-stationary processes and how this theory applies to techniques for estimation and forecasting based using time series data.
This course introduces the analytical process of learning, transforming, and analyzing customer behavior related data to understand the current pattern, predict future behavior, and prescribe actions for improving services and expanding business opportunities. Topics covered include descriptive, predictive, and prescriptive analytics based on browsing history, shopping cart, customer review, and transaction records to help making informed business decisions.
Natural language processing (NLP) is a subfield of artificial intelligence, which is focused on programing computers to “understand” human languages. The goal of this course is to build students’ knowledge and skills in using state-of-the-art NLP technologies to analyze large amounts of natural language data.
May be repeated for credit
Restrictions: Must have the following level: Graduate Must be enrolled in the following field(s) of study (major, minor or concentration): Business Administration (261) Public Accountancy (262)
Source: State University of New York at New Paltz's catalog, linked per course · table learning_unit · CourseShelf publish 61
