Part-Time Students
Part-Time students can view more information about their curriculum by visiting the Part-Time MBA curriculum page.
All incoming students entering the Part-Time MBA program are expected to be competent in calculus and statistics.
Prior to orientation, all students will take an online pre-test for calculus and statistics.
If the student passes both exams, they will have met the proficiency requirements.
If the student does not pass one or both exams, the student is required to attend a workshop for calculus and/or statistics, depending which proficiency was not satisfied. The workshop(s) will take place prior to the start of the term (summer entry students will take the workshop(s) with the fall entry students). After the completion of the workshop(s), students will need to pass the post-test(s) in order to have met the proficiency requirements.
*Note that the workshops will be recorded, and students will have access to the recording as a refresher.
If the student does not pass the post-test(s), the student will use the recorded workshop(s) or use a tutor to prepare to re-take the post-test(s) one more time. If the student still does not pass the proficiency test(s), the student will need to take the course(s) at Rutgers University or a local community college and achieve a grade of “B” or better. An alternative will be to take an approved course from an online provider. Reach out to your program advisor for details.
Students in the full-time program must attend the Calculus and Statistic Sessions at orientation (no credit towards the degree but required for graduation).
You can now choose to earn a STEM degree with any of our MBA concentrations. To be eligible, you must complete 50% of your total required course credits in STEM-designated courses.
This designation opens new opportunities for you to customize your curriculum to align with your career goals and applies to all MBA concentrations. There is significant value to MBA candidates who earn this designation. Businesses today are more data-driven than before and are looking for employees who can take their analytics to another level. STEM signals to employers that you have the training and skills to tackle this challenge. Also, the hard skills that you learn are transferrable across industries and functions, which strengthens your ability to transition in your career.
If you choose to pursue a STEM designation, make sure to speak with your Assistant Dean to ensure you plan your curriculum to meet the requirements. International alumnus currently under OPT who meet this requirement are eligible for extended OPT. Contact Marc Limata in the Full-Time MBA Office or Julia Conroy in the Part-Time MBA Office if you would like to request a review of your transcript.
(*) Indicates a STEM-designated course.
CORE: Required Courses
Course Number | Credits | |
22:010:577 | Accounting for Managers | 3 |
22:390:587 | Financial Management* | 3 |
22:223:581 | Managerial Economic Analysis* | 3 |
22:630:586 | Marketing Management | 3 |
22:799:580 | Operations Analysis* | 3 |
22:620:585 | Organizational Behavior | 3 |
22:373:628 | Business, Ethics, and Society | 1 |
CAPSTONE: Integrated Business Applications
Course Number | Credits | |
22:621:543 | IBA: Team Consulting | 3 |
22:799:650 | Supply Chain Management Client Project | 3 |
22:620:672 | Urban Entrepreneurship | 3 |
22:620:685 | CTEC I* | 3 |
FOUNDATIONS
Course Number | Credits | |
22:198:609 | IT for Managers* | 2 |
22:960:575 | Data Analysis & Decision Making*t | 3 |
22:373:551 | Business Communications | 2 |
22:140:592 | Business Law for Managers | 2 |
22:553:593 | International Business | 2 |
22:620:588 | Strategic Management | 2 |
CONCENTRATION REQUIREMENTS/ELECTIVES
Course Number | Credits | |
22:198:603 | Business Data Management* | 3 |
22:198:605 | Intro to Software Development* | 3 |
22:198:650 | Data Mining* | 3 |
22:198:660 | Business Analytics Programming* | 3 |
22:198:664 | Machine Learning* | 3 |
22:198:670 | IT Strategy* | 3 |
22:544:643 | Information Security* | 3 |
22:799:638 | Healthcare Analytics* (MSHAI program) | 3 |
22:960:608 | Business Forecasting* | 3 |
22:960:641 | Analytics for Business Intelligence* | 3 |
22:960:646 | Data Analysis & Visualization* | 3 |
16:198:513 | Design/Analysis Data Structure Algorithms* | 3 |
16:540:580 | Quality Management* | 3 |
Also, see Ph.D.-level courses listed on the concentration website.
Finance
Course Number | Credit | |
22:223:591 | Aggregate Economic Analysis* | 3 |
22:390:611 | Analysis of Fixed Income* | 3 |
22:390:609 | Derivatives* | 3 |
22:390:612 | Entrepreneurial Finance* | 3 |
22:390:680 | Financial Modeling: Corporate & Projects* | 3 |
22:390:613 | Financial Statement Analysis* | 3 |
22:390:659 | Healthcare Finance* | 3 |
22:390:603 | Investment Analysis & Management* | 3 |
22:390:693 | Adv Corp Financial Modeling- LBOs* | 3 |
22:390:605 | Advanced Financial Management* | 3 |
22:390:658 | Applied Portfolio Management* | 3 |
22:390:604 | Financial Institutions and Markets* | 3 |
22:390:681 | Hedge Funds* | 3 |
22:390:690 | Indexing & ETFs* | 3 |
22:390:608 | Portfolio Theory* | 3 |
22:390:639 | Blockchain: Changing the Way We Do Business* | 3 |
also courses from the Master of Science in Quantitative Finance (MQF) program, e.g.: | ||
22:390:686 | Quantitative Equity Trading* | 3 |
22:390:694 | Treasury Management | 3 |
22:839:635 | Blockchain and Cryptocurrency* (requires Python) | 3 |
Real Estate
Course Number | Credits | |
22:223:591 | Aggregate Economic Analysis | 3 |
22:390:695 | Real Estate Finance* | 3 |
22:851:650 | Real Estate Law | 3 |
22:851:632 | Real Estate Development | 3 |
22:390:605 | Advanced Financial Management* | 3 |
22:851:630 | Market Analysis & Valuation* | 3 |
22:851:660 | Property Management | 3 |
Supply Chain Management
Course Number | Credit | |
22:799:607 | Supply Chain Management Strategy* | 3 |
22:799:608 | Global Procurement and Supply Management | 3 |
22:799:623 | Supply Chain Digital Transformation* | 3 |
22:799:624 | Supply Chain Risk Analytics* | 3 |
22:799:626 | Commercial Management of Supply Contracts | 3 |
22:799:627 | Strategic Directions of Future Supply Chains | 3 |
22:799:640 | Supply Chain Financial Management* | 3 |
22:799:641 | Supply Chain Artificial Intelligence* | 3 |
22:799:647 | Pharma Purchasing and Supply Chain Mgmt | 1 |
22:799:653 | Product Design & Supply Chain Alignment | 3 |
22:799:655 | Contract Management | 3 |
22:799:656 | Service Logistics | 3 |
22:799:659 | Supply Chain Solutions ERP/SAP I* | 3 |
22:799:660 | Supply Chain Solutions ERP/SAP II* | 3 |
22:799:661 | Project Management | 3 |
22:799:663 | Demand Management for Value Chains* | 3 |
22:799:664 | Service Outsourcing | 3 |
22:799:665 | Managing Global Operations | 3 |
22:799:661 | Project Management | 3 |
22:799:663 | Demand Management for Value Chains* | 3 |
22:799:664 | Service Outsourcing | 3 |
22:799:665 | Managing Global Operations | 3 |
22:799:668 | Sales & Operations Planning* | 3 |
22:799:669 | Supply Chain Risk & Disruption Management | 3 |
22:799:670 | Supply Chain Business Intelligence* | 3 |
22:799:672 | Supply Chain Sustainability* | 3 |
22:799:673 | Supply Chain Pricing Strategy | 1 |
22:799:676 | Lean Six Sigma* | 3 |
22:799:678 | Supply Chain Social Compliance | 3 |
22:799:686 | Supply Chain Professional Skill Development | 1 |
22:799:625 | Service Management* | 3 |
Marketing/Market Research Insights& Analytics
Course Number | Credit | |
22:630:677 | Advanced Marketing Analytics* | 3 |
22:630:601 | Advertising & Promotion | 3 |
22:630:602 | Product Innovation* | 3 |
22:630:606 | Marketing Research* | 3 |
22:630:609 | Marketing Strategy | 3 |
22:630:610 | Consumer Behavior | 3 |
22:630:613 | Brand Management | 3 |
22:630:615 | Digital Marketing* | 3 |
22:630:628 | UX & UI in Digital Marketing | 3 |
22:630:631 | Digital Advertising & Promotions | 3 |
22:630:632 | Social Media Marketing* | 3 |
22:630:635 | Mobile Marketing & Innovation* | 3 |
22:630:636 | Search Engine Marketing* | 3 |
22:630:637 | Content Marketing | 3 |
22:630:678 | Marketing Insights* | 3 |
22:630:679 | Customer Journey Analytics* | 3 |
22:630:685 | Special Topics: Artificial Intelligence in Marketing* | 2 |
26:799:675 | Marketing Models* (Ph.D. level) | 3 |
16:960:576 | Survey Sampling* (Ph.D. level) | 3 |
Pharmaceutical Management
Course Number | Credit | |
22:373:622 | US Healthcare System & Pharma Managed | 3 |
22:373:621 | Ethics in the Pharmaceutical Industry | 3 |
22:630:617 | Pharmaceutical Marketing Research* | 3 |
22:630:618 | Pharmaceutical Product Management | 3 |
22:630:619 | Managing Pharmaceutical Sales | 3 |
22:630:684 | Market Access & Reimbursements for Drugs* | 3 |
22:630:684 | Pharmaceutical Industry: Issues, Structures | 3 |
Strategy & Leadership and Global Business
Course Number | Credit | |
22:620:601 | Management of Innovation & Technology* | 3 |
22:620:603 | Executive Leadership | 3 |
22:620:604 | Human Resource Management | 3 |
22:620:606 | Managing Strategic Transformations | 3 |
22:620:608 | Team Building & Group Processes | 3 |
22:620:609 | Management Consulting | 3 |
22:620:617 | Negotiations | 3 |
22:620:590 | Special Topics: Corporate Social Innovation | 3 |
22:620:679 | Corporate Strategy | 3 |
22:620:680 | Mergers, Acquisitions, and Alliances | 3 |
22:620:695 | Strategic Management of Digital Transformation* | 1 |
22:620:696 | Leading in the Digital World* | 1 |
22:620:697 | Ethics Challenges in the Digital Economy | 1 |
22:553:621 | Global Management Strategy | 3 |
22:553:625 | International Business in the Digital World* | 1 |
22:553:999 | Doing Business in (various destinations) | 3 |
Technology Commercialization, Innovation, and Entrepreneurship
Course Number | Credit | |
22:620:685 | CTEC I* | 3 |
22:620:687 | CTEC II: Business Models to Launch* | 3 |
22:620:624 | Opportunity Identification & Evaluation | 3 |
22:620:654 | Managing Growing Ventures | 3 |
22:390:674 | Evaluating Business Ventures* | 3 |
22:630:602 | Product Innovation* | 3 |
STEM Courses from other programs recently taken by MBA students
Course Number | Credit | |
22:799:601 | Supply Chain Analytics* (MSCA program) | 3 |
22:799:586 | Healthcare Operations Analysis* (MSHAI program) | 3 |
22:799:651 | Healthcare Innovation and Technology Mgmt.* (MSHAI program) | 1 |
29:960:670 | Multivariate Analysis* | 3 |
22:198:662 | Web Dashboard Program* | 3 |
Accounting (Concentration in Part-Time MBA Program only)
Course Number | Credit | |
22:010:551 | Governmental Accounting and Auditing | 3 |
22:010:605 | Corporate Income Taxation | 3 |
22:010:609 | Advanced Des and Dev of Info Systems* | 3 |
22:010:615 | Partnership Taxation | 3 |
22:010:616 | Tax Practice and Procedures | 3 |
22:010:618 | Advanced Corporate Taxation | 3 |
22:010:619 | Federal Income Taxation of Trusts and Estates | 3 |
22:010:620 | State & Local Tax | 3 |
22:010:625 | Tax-Exempt Entities | 3 |
22:010:626 | Federal Estate and Gift Taxation | 3 |
22:010:682 | Financial Analysis and Financial Risk Management* | 3 |
22:010:641 | Pension and Profit-Sharing Plans | 3 |
22:010:629 | International Tax I | 3 |
22:010:630 | Advanced Tax Research | 3 |
22:010:631 | International Tax II | 3 |
22:010:645 | Decoding of Financial Communications* (may also be listed as 648) | 3 |
22:010:649 | Taxation of Financial Instruments | 3 |
22:010:657 | Federal Tax Accounting | 3 |
22:010:660 | Accounting for the Digital Era* | 3 |
22:010:661 | Contemporary Issues in Corporate Governance | 3 |
22:010:664 | Forensic Accounting* | 3 |
22:010:666 | Litigation, Support, and Bankruptcy | 3 |
22:010:667 | Consolidated Returns | 3 |
22:010:668 | Reporting and Measuring Corp Social Performance* | 3 |
22:010:669 | Intro to Cybersecurity Assurance* | 1 |
22:010:684 | Cybersecurity Assurance* | 3 |
22:010:685 | Special Topic: Intro to AI in Accounting* | 3 |
22:010:686 | Special Topic: Blockchain in Accounting* | 3 |
22:010:688 | Audit Analytics* | 3 |
22:010:695 | Information Technology Audit* | 3 |
22:010:697 | Smart Contracts Applications in Accounting* | 3 |
22:010:698 | Virtual Currencies, Tokens, Crypto-lending, and Its Ecosystem* | 3 |
22:010:678 | Robotic Process Automation* | 3 |
22:010:TBA | Special Topic: Continuous Auditing* | 3 |
22:010:TBA | Special Topic: Process Mining* | 3 |
22:835:501 | Intermediate Accounting I | 3 |
22:835:502 | Intermediate Accounting II | 3 |
22:835:603 | Income Taxation | 3 |
22:835:604 | Auditing Concepts | 3 |
22:835:625 | Advanced Financial Accounting | 3 |
22:835:626 | Advanced Auditing and Accounting Information Systems* | 3 |
22:835:627 | Managerial and Cost Accounting | 3 |
22:835:628 | Advanced Accounting Research | 3 |
New courses may use a common course number for SpecialTopics or still need a number defined. Please notify your academic advisor or assistant dean if a course on the Schedule of Courses is missing from this list.
Updated: 1/17/2023
(All courses required / 19 credits)
An introduction to financial statement analysis which builds on the fundamentals of accounting, including understanding the accounting equation and its application in building the balance sheet, the income statement, and the statement of cash flows. Basic accounting concepts, accounting principles, and the audit report are presented. Students work in teams to analyze corporate financial statements. The relationship of economic value to accounting measurement is explored together with factors influencing management choices among competing valuation principles. Theory is applied to the valuation of the asset, liability, and owners' equity accounts. Emphasizes the heavy reliance on estimates in constructing financial statements and how management can use such estimates to strategically manage its reporting responsibilities.
Introduces the aspects of economics that are most relevant to the operation of the individual firm or nonprofit organization. Covers theory of individual economic behavior, demand theory and demand estimation, cost and supply, price determination, production decisions, and industry structure.
Prerequisite: Proficiency Requirements
Provides a general survey of the field, including the basic principles of corporate finance, financial markets and institutions, and investment theory. Corporate finance topics covered include the objective of financial management, valuation of assets and associated problems in the valuation of the firm, acquisition of long trimester assets (capital budgeting), management of short-trimester assets, capital structure, and financial statement analysis. Financial markets and institutions studied include money markets, stock and bond markets, derivatives, and the banking system. Investment analysis topics include portfolio theory and asset pricing models.
Prerequisite: Proficiency Requirements; and Accounting for Managers (22:010:577)
Prerequisite/Co-requisite: Managerial Economic Analysis (22:223:581)
Explores human dynamics by examining the role of management and learning styles in the effective functioning of organizations.Topics include personality types, motivation, cognition and learning, communication, team development, and leadership. Through class discussions, case analyses, simulations, and group projects, students learn critical managerial skills such as communication, decision making, conflict resolution, and team building.
The purpose of the course is to offer an understanding of the nature and role of marketing in the firm and in the society. Students will gain knowledge regarding the marketing decisions of price, place, promotion, product, develop an understanding of consumer behavior, market research, social and cultural factors affecting marketing. The course will expose students to a series of marketing principals, frameworks, and analyses. These techniques will be applied to a series of case studies to reinforce the concepts. At the end of the course the students should be able to develop effective marketing plans for products and services.
Covers fundamentals of performance analysis for various operational issues encountered in real life supply chain processes. The major topics include demand forecasting techniques, sales and operations planning (SOP), mathematical programming applications and spreadsheet solutions, supply chain inventory planning, uncertainty, and safety stock management, project resource allocation and risk analysis, network design and facility location selections, and computer simulation and quality management. Harvard Business Cases on developing cost-effective solutions for continuous improvement of a company's operational efficiency and strategic position in today's highly dynamic and competitive marketplace are used. The objective of the course is to help our students to develop analytical thinking skills and to build the knowledge of business performance optimization toward operational excellence of supply chains.
Prerequisite: Proficiency Requirements
Course # 22:373:628 - 1 credit
A major priority of the course is to equip students to make thoughtful and effective arguments as to how to deal with business issues as to which there is no obvious, clear answer, and in which ethical, social, or political concerns are present. Learning in the classroom will take place primarily through discussing readings, which should be read before class; lecturing will be secondary to discussion.
Note: 5 weeks; attendance required
This course is only for Full-Time MBA students
Notes:
(Choose 3 courses / 6-7 credits)
The objective of this course is to study management's role in the development and use of information systems that help businesses achieve their goals and objectives. Information Technology (IT) has been the driving force behind the new way of doing business. IT has enabled modern organizations to make tremendous strides in productivity, has opened new markets, and has created new product and service opportunities. Managers should understand how IT could help to organize the complexity of modern organizations, manage relationships with customers, suppliers, and employees, and improve work efficiency.
Sharpens the writing and speaking skills of MBA students so that they will be more effective communicators. Assignments progress from simple to increasingly complex reports and include abstracts, case analyses, statistical analyses, and library research. Class time is taken up with instruction on organizing written reports, analysis of samples of students' writing, and oral presentations by students.
Introduces the legal environment in which management functions. Studies the law of corporations as a system for affecting relationships among the corporation, its shareholders, employees, managers, and society. Exposes student to managerial aspects of antitrust and securities law as well as to current questions regarding business's role in society.
This course examines the challenges that firms, whether based domestically or abroad, must confront in an increasingly connected global market. We will explore macro-environmental issues of world trade, macroeconomic stability, foreign investment, currency exchange, institutions, government policies, and global politics. The goal of this macro perspective is to develop students’ skills in identifying and analyzing changes in the economic, political, and social environments of business. This course will also take a firm-level perspective and examine the managerial strategies pertaining to operational and stakeholder management across country borders.
Discusses skills and concepts needed to manage an organization to compete effectively in its environment. Provides tools for identifying environmental opportunities and threats and organizational strengths and weaknesses. Serves as a basis for the interfunctional management team consulting project.
It is recommended that students complete the MBA Core classes prior to taking Strategic Management
Co-requisite: Organizational Behavior (22:620:544 or 22:620:585) may be a co-requisite to Strategic Management
Introduces statistics as applied to managerial problems. Emphasis is on conceptual understanding as well as conducting statistical analyses. Students learn the limitations and potential of statistics, gain hands-on experience using Excel, as well as comprehensive packages, such as SPSS®. Topics include descriptive statistics, continuous distributions, confidence intervals for means and proportions, and regression. Application areas include finance, operations, and marketing. Introduces the basic concepts of model building and its role in rational decision making. Knowledge of specific modeling techniques, such as linear and nonlinear programming, decision analysis, and simulation, along with some insight into their practical application is acquired. Students are encouraged to take an analytic view of decision making by formalizing trade-offs, specifying constraints, providing for uncertainty, and performing sensitivity analyses. Students form groups to collect and analyze data, and to write and present a final report.
Prerequisite: Proficiency Requirements
Notes:
(Choose 1 course / 3 credits)
Students consult with a private or public corporation or government agency on a business problem under a contract with the client institution. Requires students working with a faculty member to undertake, analyze, and report on the assignment and present recommendations to executive managers from the client organization. Consulting assignments are completed in teams.
Prerequisite: Completion of all core courses & 30 credits required
This course is designed for students who exhibit high degrees of self-direction and significant interest in urban issues, entrepreneurship, and/or economic development. Students will be challenged to work individually and in teams on projects, reports, and research at the intersection of business, community development, new venture creation, urban policy, and economic development.
The course will explore the many dimensions of urban entrepreneurship and economic development through an exploration of the business and policy issues, the use of action research methods and the development and completion of consulting projects. The location of the course in Newark provides a unique opportunity to have the city become a laboratory for student education in the areas of urban entrepreneurship and economic development. Students in this course will be directly involved in the economic development initiatives of Rutgers-Newark and The Center for Urban Entrepreneurship & Economic Development.
This course builds upon academic SCM learnings by working on "real life" supply chain management projects requested by our Rutgers Center for Supply Chain Management Advisory Board companies and corporate partners. Students in this course must identify and understand the key issues, formulate models, complete analyses, and apply SCM course learnings to solve real-world problems. Faculty members whose expertise lies in a particular area are available to assist students with complexities of the projects. The projects change each semester depending on the current requirements of the clients, but always focus on specific issues within the supply chain. Client visits may be included to better understand the project scope and work with the company executives. The culmination of the project will be a formal presentation to the client's SCM executives and management team along with delivery of a final report. The presentation and report will include the team's approach, data analysis, findings and recommendations.
Prerequisite: Operations Analysis (22:799:580)
The Collaborative for Technology Entrepreneurship and Commercialization (CTEC) is a unique, interdisciplinary and experiential learning initiative at Rutgers, designed like some famous business accelerators. Graduate Students in RBS, SOE, Medical School, and Pharmacy School become co-founders and executives to master the skills necessary for entrepreneurship and technology commercialization. CTEC provides two courses that focus on translating cutting-edge technology into business ventures. Students, faculty, inventors and executive mentors collaborate to learn how to launch real startups and acquire small businesses (entrepreneurship through acquisition). Learn how to develop business models, raise venture capital, lead as entrepreneurs or intrapreneurs (corporate), invest, consult, and serve on Advisory Boards.
Notes:
Part-Time students can view more information about their curriculum by visiting the Part-Time MBA curriculum page.
Full-Time students can view more information about their curriculum by visiting the Full-Time MBA curriculum page.
Dual Concentrations in the Full-Time MBA require a minimum of 15 credits in each Concentration except in the case of Finance, Pharmaceutical Management, and MRIA which requires 18 credits each.
Dual Concentrations in the Part-Time MBA require a minimum of 12 credits in each Concentration except in the case of Finance, Pharmaceutical Management, and MRIA which requires 15 credits each. Accounting requires 18-21 credits to complete and is only available for Part-Time students.