Curriculum Requirements

Master of Business Administration

Major Requirements

Waivable Program Core (Prerequisite Courses)		Credits:
ACCT 501	Accounting I	1.5
A study of accounting fundamentals. Topics include the accounting cycle, statement preparation, systems, asset valuations, accounting concepts and principles for the sole proprietorship. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 1.5-0-1.5
ECON 501	Principles of Economics I	1.5
A study of basic economic concepts emphasizing analysis of the aggregate economy. The fundamental concepts of national income and its determination, economic fluctuations, monetary and fiscal policies, and economic growth are covered. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 1.5-0-1.5
FINC 501	Finance	1.5
An overview of the financial management function in modern business, emphasizing the time value of money and financial analysis. The financial and economic environment and capital markets and securities are covered. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 1.5-0-1.5
MIST 501	Management Information Systems	1.5
This course provides an introduction to information technology and application software. It also introduces students to how information is used in organizations and how information technology enables improvement in decision making at all managerial levels. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 1.5-0-1.5
QANT 501	Business Statistics	1.5
This course introduces students to both descriptive and inferential statistics. Coverage includes applications to business and other disciplines and the use of technology as a decision support tool. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 1.5-0-1.5
QANT 510	Production and Operations Management	1.5
Addresses concepts and critical activities required in the manufacturing of goods and the delivery of services. Quantitative applications and the use of relevant computer software are an integral part of this course. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 1.5-0-1.5
		Total: 9 Credits
All students must complete this 9-credit core requirement. Courses may be waived in those instances where the undergraduate experience includes course equivalencies. Courses in this core are offered to M.B.A. students in an accelerated format.

Non-Waivable Program Core		Credits:
BUSI 610	Professional Development Seminar	0
This preparatory course addresses select professional skills that are requisite to success for the MBA student, and include seminars and workshops in public speaking, business writing, teamwork, critical thinking and business research. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 0-0-0
ACCT 601	Managerial Accounting	3
Prerequisite: Prerequisite: ACCT 501 or a waiver Special emphasis is placed on the collection and interpretation of data for managerial decision-making purposes. Data includes both financial accounting and cost accounting topics, such as concepts for financial statement analysis using ratios and cost control tools for internal purpose. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
ECON 601	Managerial Economics for Decision Making	3
Prerequisite: Prerequisite: ECON 501 or a waiver. Application of economic theory, quantitative methods and artificial intelligence (AI) to business decision making. It covers various topics including business cycles, consumer choice, product demand, marginal pricing, neoclassical and linear production theory, market structure, and choice under imperfect information. It also involves the use of empirical techniques, AI-driven model building, and advanced AI tools for business forecasting and analysis. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
FINC 601	Financial Management	3
Prerequisite: Prerequisite: FINC 501 or waiver This course uses data and information technology resources and AI tools to emphasize the development of a comprehensive framework for the theory and practice of financial decision-making. Topics covered span a broad spectrum of financial markets and corporate financial practices including capital budgeting, risk management and mergers and acquisitions. AI is utilized to extract data and enhance financial analysis. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
MGMT 605	Organizational Behavior	3
This course provides an in-depth exploration of the key theories, and managerial practices in the field of Organizational Behavior, focusing on how individuals, group and organizational level factors influence behavior within business organization. Special attention is placed on the impact of emergent technology (e.g., AI) on organizational effectiveness. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
MRKT 620	Strategic Marketing and Branding	3
This course is designed to prepare the student to approach, structure, and solve complex marketing problem on strategic and tactical levels, with an extension to the other functional areas of business strategy, to align the dynamic capabilities with operations and finance. Using digital and AI tools, students will analyze the trends affecting the everchanging customers' wants and preferences, evolving market structures and competitive scenarios will reflect the present complexity of the marketing task, and the imperative of capturing market opportunities via delivery of superior customer value and the brand equity management. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
QANT 630	Operations and Supply Chain Management	3
Prerequisite: Prerequisite: QANT 510 or a waiver This course discusses a wide range of issues from how organizations successfully create and manage its operations and supply chain to how they control operations and supply chain. Using AI technologies, this course discusses key drivers and approaches organizations adopt to improve productivity and achieve competitive position. It also addresses major issues in operations and supply chain including inventory management, logistics management, facility location, total quality, material requirement planning (MRP), project management, and scheduling. The innovations and capabilities of these areas that are related to revenues and financial performance of the organizations are discussed. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
BUSA 630	Decision Making and Predictive Analytics	3
Prerequisite: Prerequisites: QANT 501, QANT 510 This course discusses the integration of quantitative modeling and predictive analytics to support businesses, non-profits, and governments towards gaining insight and strengthening decision-making ability. The course content focuses on applications in the business environment and the use of spreadsheet models and AI as decision support tools. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
MGMT 650	Business Strategy	3
The course focuses on the examination of the role of high-level leadership, including its impact on the development of the organization's strategy and long-term strategic plan, as well as the making of consequential decisions in a complex and rapidly changing business environment, while considering sustainable business goals and maintaining ethical standards. Students will utilize state of the art techniques, including Generative AI, in evaluating market forces, strategic positioning for the effective achievement of organizational goals. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
		Total: 24 Credits
The non-waivable core is an integrated educational experience where courses are delivered in modules and are highly interdisciplinary. Modules in this core may not be waived, nor can credit hours be transferred into the Division of Management as substitutes for these modules. The core must be completed, in its entirety, in the Division of Management.

Elective Coursework		Credits:
XXXX 700	Upper-level electives	6
Please view all course descriptions: http://www.nyit.edu/courses
Students are strongly encouraged to complete a concentration for their M.B.A. Students who choose to pursue the M.B.A. with a concentration must take four 700-level courses in their selected area of concentration or 12 credits in addition to the waivable and non-waivable core requirements. Courses that are required in each of the available concentration areas are specified below. Students interested in pursuing experiential-based internships may also enroll into the zero-credit internship BUSIE 650. Students pursuing the M.B.A. without a concentration must complete, in addition to the waivable and non-waivable core requirements, six credits of elective coursework. Courses may be chosen from the array of 700-level offerings in the school's multiple disciplines.

Business Analytics Concentration (select four)		Credits:
BUSA 701	Data Interaction and Visualization	3
This course will provide students with understanding and proficiency in data interaction and visualization. Students will use tools like Tableau and Power BI for data wrangling, visualization, and dashboard design, transforming raw data into actionable insights. Emphasizing project-based learning, the course includes AI-assisted data analysis and storytelling to solve real-world business challenges and enhance decision-making. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
BUSA 705	Predictive Analytics	3
Prerequisite: Prerequisites: QANT 501 or permission of the chair The course provides the application of foundational topics for supervised learning algorithms such as Multiple Linear Regression, Logistics Regression, Nearest Neighbors, Decision and Regression Trees, Discriminant Analysis, Neural Networks, and Ensemble Methods. It first builds a sound understanding of data preparation, exploration, and reduction methods. This course covers prediction as well as classification processes. The emphasis is on learning the application of different machine learning techniques for decision-making situations across business domains rather than mastering the techniques' mathematical and computational foundations. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
BUSA 710	Data Mining and Pattern Recognition for Business Analytics	3
Prerequisite: Prerequisites: MRKT 620, MIST 725 or DTSC 501 This course focuses on the theoretical foundations and practical applications of unsupervised machine learning techniques to discover hidden structures and patterns in unclassified datasets. Students will explore techniques such as clustering, association rule mining, social network analysis, and collaborative filtering, with a particular focus on their real-world applications in business. Additionally, the course integrates generative AI to demonstrate how unsupervised learning can be combined with AI to automate creative business tasks such as personalized marketing and recommendation systems. This course will integrate theoretical instruction with practical, real-world business applications, using both classical and cutting-edge AI methods. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
BUSA 720	Managerial Decision Modelling	3
Prerequisite: Prerequisites: DTSC 501/MIST 725 and QANT 620 This course explores advanced forecasting, simulation, and optimization techniques to support managerial decision-making across various business functions. Students will develop predictive and simulation models using AI-powered tools to address challenges in operations, marketing, and finance. Topics include time-series forecasting methods (e.g., ARIMA, machine learning-based approaches), Monte Carlo simulations, and discrete-event modeling. The course emphasizes practical applications of AI in decision modeling, through hands-on projects using Python and @Risk, to deliver impactful business solutions. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
BUSA 730	Practical AI for Business: Deep Learning and NLP	3
Prerequisite: Prerequisites: MRKT 620, MIST 725 or DTSC 501 This course bridges the gap between AI theory and business practice, focusing on modern AI technologies like deep learning, natural language processing (NLP), and large language models (LLMs). Students will gain practical skills by building AI-powered business applications, such as Neural Networks and customer service chatbots. The course covers artificial neural networks (ANNs), NLP techniques, and cutting-edge AI tools like transformer-based models (e.g., BERT, GPT). By the end of the course, students will be equipped to deploy AI-driven solutions in real-world business environments. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
BUSA 740	Database Management and ERP Systems	3
Prerequisite: Prerequisites: MIST 501 This course focuses on the general concepts and methodologies in database management systems (DBMS) and enterprise resource planning (ERP) systems. Topics covered in this course include database management, ERP systems, and data extraction using Structured Query Language (SQL). Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
		Total: 12 Credits

Finance Concentration (select four)**		Credits:
ACCT 713	Financial Statement Analysis	3
Prerequisite: Prerequisite: ACCT 501 and (FINC 501 or waiver) This course offers an in-depth analysis of financial reporting from a user's perspective, focusing on evaluating a firm's performance, earnings quality, and valuation using financial statements and disclosures. Topics include accounting principles, IFRS regulations, and the connection between financial data and business transactions. Case studies and readings develop critical thinking skills, while students learn how financial decisions impact value creation and strategy. The course also incorporates modern AI tools for financial analysis, emphasizing the importance of human judgment in interpreting results and making strategic recommendations. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
ACCT 721	Advanced Financial Accounting	3
Prerequisite: Prerequisite: ACCT 610 This course blends accounting concepts with practice, covering topics like inventory, assets, bonds, pensions, cash flow, equity, and revenue recognition. It also compares IFRS with US GAAP. Students develop advanced critical thinking skills through AI-assisted forensic analysis of financial statements and complex accounting situations. The course emphasizes professional judgment in an AI-augmented environment, teaching students to leverage technology for deeper insights while maintaining rigorous accounting standards. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
FINC 705	International Finance	3
Prerequisite: Prerequisite: FINC 601 or (FINC 610 and FINC 620) The central theme of this course is financial decision making in a multicurrency setting. Modern paradigms of foreign exchange markets are used to relate differences between countries in terms of interest rates, purchasing power, inflation and changes in the relative values of various currencies. The course develops a modern, consistent and integrated framework of foreign exchange markets and applies it to problems of international financial management. Topics include: interest rate parity, purchasing power parity, balance of payments, adjustment mechanisms, currency risk and hedging foreign exchange exposure, international investment and financing. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
FINC 734	Analysis and Valuation of Equity Investments	3
Prerequisite: Prerequisite: FINC 601 or (FINC 610 and FINC 620) This course focuses on the development of a comprehensive framework for analyzing and evaluating equity investments and selecting stocks. Both Intrinsic ("Absolute") equity valuation models of discounted cash flows to stockholders (Dividends, Free Cash Flows, and Residual Cash Flows) and Relative valuation of Comparable Multiples will be applied and reconciled. The Capital Asset Pricing Model and multi-factor Arbitrage Pricing Theories will be employed. Criteria for choosing an appropriate model for valuing a particular firm will be discussed. Estimates of risk-adjusted-discount-rates, growth rates, and duration of growth phases will be explained. Financial statements will also be utilized to obtain relevant estimates for company and industry analysis and valuation. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
FINC 736	Management of Valuation of Fixed Income Securities	3
Prerequisite: Prerequisite: FINC 601 or (FINC 610 and FINC 620) This course provides the foundations for one's effective participation in fixed income investment activities. The course starts with a broad overview of the major segments (Treasury, Corporate, Agency, Municipal, Mortgage-Backed, Asset-Based and International) of the fixed income markets and instruments. The features and characteristics if the segments and securities will be discussed. The course then focuses on the development of a comprehensive framework for analyzing, evaluating, and selecting fixed income securities and constructing fixed income portfolios. The following tools and techniques will be included among our means of valuation and management of fixed income portfolios: yield-spreads, term-structure and risk-structure of interest rates, spot rates and forward rates, duration and convexity, cash matching, indexing, immunization, bond swaps, and interest rate options. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
FINC 740	Derivatives Analysis	3
Prerequisite: Prerequisite: FINC 601 or (FINC 610 and FINC 620) This course is an introduction to derivatives, including options, futures, forward contracts and SWAPs. The emphasis of this course is on the use of derivatives in trading, hedging, arbitrage and risk management. The course will provide an integrated framework for the valuation of different types of derivatives. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
FINC 760	Corporate Financial Decision Making	3
Prerequisite: Prerequisites: FINC 601 or FINC 610 and FINC 620 This course examines established paradigms related to corporate finance and explores advanced theory in financial management. Additionally, the course will apply such concepts and analytical tools learnt in a real-world case study framework to enhance financial decision making in a complex business world. AI will be used to analyze financial data to identify risks, growth opportunities and sentiments trends for newly public firms. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
FINC 765	Portfolio Management	3
Prerequisite: Prerequisites: FINC 601 or FINC 610 and FINC 620 This course focuses on financial institutions and markets in the context of portfolio construction, management, performance evaluation and performance presentations standards. Specific topics include: the efficient market hypothesis, market inefficiencies and selection criteria, fundamental versus technical analysis, portfolio diversification methods, asset pricing models, portfolio construction and asset allocations, hedging and risk management including the role of derivative securities, performance presentation standards, performance evaluation and attribution. Additionally, the course introduces the application of artificial intelligence (AI) in portfolio management, focusing on how AI can enhance the creation of portfolio policy statements, asset allocation, and security selection to meet investment objectives. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
BUSIE 700	Faculty-Led Study Abroad	3
Students travel abroad for intensive study that includes academic, professional and cultural components. These experiences are culture-specific, including academic lectures, company visits, and site seeing in the context of developing global business competencies. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 0-3-3
		Total: 12 Credits
** Students pursuing the M.B.A. Finance concentration with the CFA track must choose five courses from the list (excluding BUSIE 700) to complete 15 total credits.

Marketing Concentration Requirement		Credits:
MRKT 750	Marketing Research for Consumer and Managerial Insights	3
Prerequisite: Prerequisite: MRKT 620 Our rapidly changing world requires nimble and flexible marketing responses based on data-driven insights. This course provides students with a foundational understanding of qualitative and quantitative marketing research methods. Emphases are on the validity and reliability of techniques associated with exploratory, descriptive, and causal research designs, as well as measurement, sampling, and fieldwork. Students gain hands-on experience by designing and conducting their own research projects, including exploratory research, survey design, data collection, analytics, presentation, and reporting. The course integrates cutting-edge AI tools for data collection and analysis, predictive modeling, and automated insights generation, enhancing students' capabilities in leveraging advanced technologies for marketing research. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
		Total: 3 Credits

Marketing Concentration (select three)		Credits:
MRKT 710	International Marketing	3
Prerequisite: Prerequisite: MRKT 620 This course presents a systematic treatment of marketing in a global setting. The impact of cultural, social, demographic, legal, political, competitive, technological, and economic trends on international markets' attractiveness will be analyzed. Students will learn to develop segmenting, targeting, and positioning and marketing mix strategies for foreign market entry in a group project aimed at a selected product/market combination Students will learn how to apply AI tools to enhance their analysis. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
MRKT 715	Marketing Communication and Promotion	3
Prerequisite: Prerequisite: MRKT 620 This course offers a comprehensive framework for understanding the role and strategic use of promotion within the marketing mix. Emphasizing communication theories, the curriculum guides students in developing tactical and strategic promotional programs that leverage current technologies, including AI-driven techniques for content creation, consumer behavior analysis, and campaign optimization. Students will delve into the integration of AI to elevate strategic decision-making, address ethical implications, and evaluate its influence on contemporary media landscapes. Branding and positioning strategies will be explored in depth, alongside the implementation of key promotional components. The course places a strong focus on emerging trends in digital media, equipping students to analyze and capitalize on new marketing opportunities using innovative and traditional platforms effectively. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
MRKT 745	Digital Marketing Strategy, Tactics, and Tools	3
Prerequisite: Prerequisite: MRKT 620 The digitization of media and commerce has been transformational as it concerns best practice approaches to marketing. In this course, students will learn how marketing theory applies to the digital landscape. The course will explore how to create effective digital marketing strategies, as well as how to use the latest digital marketing tools to reach and engage target audiences. In addition to theory, students will also gain practical skills that will enable them to assist companies in developing and implementing their digital marketing strategies. By the end of the course, students will have a strong foundation in digital marketing principles and techniques, and be able to contribute to successful digital marketing campaigns. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
MRKT 765	New Product Marketing and Innovation	3
Prerequisite: Prerequisite: MRKT 620 Students will employ AI tools alongside traditional methods to manage new products and transformative innovation, examine the concepts, methodologies, and techniques utilized in the search, development, testing and launch of impactful new products and services. The course includes the consideration of a firm's strategic requirements for new products, the nature of innovation and consumer response, concept development and testing, market testing, estimation of market potential, and marketing planning for adding new products to existing portfolios and start-up businesses. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
MRKT 775	Consumer Behavior	3
Students will investigate the central role of consumer behavior theory to marketing practice in terms of the planning, development, and implementation of marketing strategies and programs. Consumer behavior theory will be explored using concepts from psychology, sociology, anthropology, and economics in order to understand, predict, and influence consumer attitudes, preferences, and behavior. Students will have an opportunity to conduct a consumer research project using both traditional methods and AI-powered tools, analyze results, and develop relevant marketing management recommendations. This hands-on experience will enable students to leverage AI for deeper consumer insights and more effective marketing strategies. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
MRKT 780	Marketing Analytics for Managerial Decision	3
Prerequisite: Prerequisites: MRKT 620 and QANT 501 This course will give students the right tools to stay relevant in the new age of marketing. The goal of this course is to provide students with the skills needed to make intelligent use of marketing data and analytics to make business recommendations and decisions. The course employs a combination of interactive lectures, case studies, and hands-on exercises to facilitate the application of analytical techniques to key marketing activities. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
		Total: 9 Credits
BUSIE 700 Faculty-Led Study Abroad or another relevant course may be substituted for MRKT 710 by approval of the department chair.

Operations and Supply Chain Management Concentration (select four)		Credits:
MGMT 785	Decision Support Systems	3
Prerequisite: Prerequisite: QANT 510 (or QANT 510 waiver) and MIST 610 Decision Support Systems (DSS) focuses on the application of information systems to assist a manager in evaluating alternatives and making optimal decisions in a business environment. Topics to be covered will include discussion of off-the-shelf decision support tools, storing and accessing data (data warehousing), defining requirements and modeling (front end), decision making (inference engine)and report generation. Students are expected to work with a range of software tools for strategy and policy development. A comprehensive term project will be required. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
QANT 750	Simulation Modeling	3
Prerequisite: Prerequisite: QANT 501, QANT 510, or a waiver This course emphasizes the role of simulation in evaluating the performance of complex systems in an organization. Simulation techniques such as Monte Carlo and Discrete Event will be studied in-depth. Students will be required to use state of the art simulation packages to develop and analyze simulation models. Topics to be covered in the course will include simulation of operations and supply chain, marketing, and financial models. A term project in the course will require students to develop their own simulation model for developing performance measures of a specific system and integrate it with AI for performing sensitivity analysis and report generation. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
QANT 755	Management Science Applications	3
Prerequisite: Prerequisite: QANT 630 or QANT 620 This course shall highlight the use of mathematical modeling and optimization techniques applicable to decision-making situations in an organization. The topics to be discussed will include: stochastic inventory models, specialized linear programming models, integer programming, dynamic programming, game theory, network models and waiting lines. As part of the term project, students will be required to identify an opportunity, collect data, specify a model, and use decision making tools to find the most effective solution, perform sensitivity analysis, and develop an implementation plan. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
QANT 760	Operations Management Applications	3
Prerequisite: Prerequisite: QANT 510 (or QANT 510 waiver) This course applies advanced Operations Management (OM) concepts to real-world challenges, emphasizing the integration of AI tools like Generative AI to enhance decision-making and process optimization. Topics include Total Quality Management, Forecasting, Project Management, and ERP systems. Through case studies and an application-oriented project, students will combine traditional OM strategies with AI-driven approaches to analyze, evaluate, and recommend innovative solutions for competitive advantage. Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
QANT 780	Supply Chain Management	3
Prerequisite: Prerequisites: QANT 630 or BUSA 630 Supply chain management (SCM) deals with the procurement of raw materials, management of operations, and distribution of final products. The explosive growth of AI in all aspects of today's environment has created an opportunity for any organization to reduce costs while improving quality and effectiveness. This course will focus on analyzing, evaluating, and recommending actions that will improve the supply chain performance for a common consumer product. A term project in which students attempt to go as far back or upstream as possible in the supply chain of the selected product and identify each member along with the value added by each member. Students will need to use AI tools to find or estimate missing elements (data) which will be essential to complete the project Classroom Hours - Laboratory and/or Studio Hours – Course Credits: 3-0-3
		Total: 12 Credits
BUSIE 700 Faculty-Led Study Abroad or another relevant course may be substituted for QANT 780 or QANT 760, by approval of the department chair.

Total Required Credits = 30–48

The General M.B.A. program may be completed in as few as 30 credits for those students that do not pursue a concentration. Students with a concentration may complete the program in as few as 36 credits. The program consists of the waivable program core, the non-waivable program core, capstone course, and either elective or concentration courses.