Curriculum

Maryland Smith’s curriculum is interactive, data-focused and adjusts to reflect the trends of the modern business world. The courses you’ll take are taught by knowledgeable scholars and experts with years of experience leading others in their field.

Curriculum is subject to changes.

Core Courses

Financial Statement Analysis for Accountants and Auditors
2 credits | BUAC 707

Business Communications for Accountants and Auditors
2 credits | BUAC 712

Advanced Managerial Accounting and Control Systems
2 credits | BUAC 710

Forensic Accounting/ Auditing
2 credits | BUAC 714

Business Ethics
2 credits | BUAC 706

Data-Driven Decision Making
2 credits | BUAC 740 

Public Accounting Track

Intermediate Accounting II
2 credits | BUAC 732

Intermediate Accounting III
2 credits | BUAC 758F

External Auditing
3 credits | BUAC 735

Business Law I
2 credits | BUAC 721

Taxation of Individuals & Forecasting Analytics
2 credits | BUAC 762

Advanced Accounting
3 credits | BUAC 758U 

Advanced Accounting

Systems for Data Analysis
2 credits | BUAC 758S 

Two additional elective courses to be determined.

Taxation Track

Taxation of Corporations & Other Entities
2 credits | BUAC 764

Real Estate Tax and Enterprise Resource Planning
2 credits | BUAC 767

Visual Analytics and International Taxation
2 credits | BUAC 770

Data Security and Tax-Exempt Organizations
2 credits | BUAC 766

Valuation for Accounting
2 credits | BUAC 758B

Systems for Data Analysis
2 credits | BUAC 758S

Accounting for Income Tax and Database Management
2 credits | BUAC 758A

Database Management for State and Local Income Tax
2 credits | BUAC 772

One additional elective course to be determined.

Accounting Analytics Track

Valuation for Accounting
2 credits | BUAC 758B

Accounting Analytics
2 credits | BUAC 758G

Internal Audit
2 credits | BUAC 752

Information Security, Audit and Control
2 credits | BUAC 756

Auditing Automation and Analytics
2 credits | BUAC 758E

Applied Research for Accounting and Auditing
2 credits | BUAC 758H

Systems for Data Analysis
2 credits | BUAC 758S

Two additional elective courses to be determined.

First Year - Fall Semester

Database Management Systems 
3 credits | BUDT 758Y

Decision Analytics
3 credits | BUDT 758P

What makes a decision difficult? Usually, the answer is that the decision requires us to spend scarce resources. A “resource” is any asset that can be leveraged to achieve business objectives: time, money, staff, trucks, computer cores, and research effort can all be viewed as resources. When you decide to spend your resource on something (e.g., investing into a research project, or accepting a delivery job), there is less of the resource that can be spent on something else. You thus have to think carefully about the tradeoffs involved in allocating resources to one objective as opposed to another.

This class develops a quantitative framework for studying resource allocation problems. Resource allocation problems arise in many industries and areas such as transportation, electronics, advertising, finance, and health care. The specifics of each problem are very different. Nonetheless, all resource allocation problems, in all of these areas, have common elements that behave in exactly the same way. We will develop an abstract modeling language that emphasizes these common elements, so that you will be able to write down any resource allocation problem on paper and then apply standard tools (such as Microsoft Excel) to obtain solutions.

Data, Models and Decisions
3 credits | BUDT 758Q

Data Processing and Analytics in Python
3 credits | BUDT 758X

This course provides an introduction to the Python programming language for the purpose of processing, analyzing, and visualizing data. In addition, students will be introduced to developing basic regression, optimization, and simulation models in Python, using highly popular packages. Course emphasis is on mastering basic Python functionality and developing intermediate to advanced skills in working with data, through instruction and active learning.

First Year - Spring Semester

Data Mining and Predictive Analytics
3 credits | BUDT 758T

In business magazines, on TV, and in board rooms, “big data” and “data analytics” are now hot topics. Vast quantities of data are being generated these days, including new types of data such as web traffic, social network data, and reviews and comments on websites. This data is a valuable resource that, when used correctly, can create a competitive edge for companies by improving the quality of decision making. Recent advances in computing hardware and software have made the application of advanced analytical methods much easier. This course takes advantage of these developments to introduce data analytics to those interested in developing expertise in datadriven decision making.

The course is intended to provide an introduction to the tools and techniques of data mining & machine learning that are central to business analytics, with particular emphasis on classification and prediction. The focus will be on business applications and examples from Marketing, Finance, Healthcare, and Operations will be used to illustrate the breadth of applications.

Data Visualization and Web Analytics
3 credits | BUDT 758D

This course provides an introduction to the Python programming language for the purpose of processing, analyzing, and visualizing data. In addition, students will be introduced to developing basic regression, optimization, and simulation models in Python, using highly popular packages. Course emphasis is on mastering basic Python functionality and developing intermediate to advanced skills in working with data, through instruction and active learning. 

Big Data and Artificial Intelligence for Business
3 credits | BUDT 758B

Big data represents unprecedented opportunities for companies to generate insights and create wealth. Huge amount of data is being generated. At the same time, much of the big data is unstructured, in real time and only loosely connected. It defies the traditional ways of managing databases. This creates challenges even to tech-savvy companies on how to leverage big data to gain competitive advantages. Challenges and opportunities coexist. To extract the great value from the data, we should be equipped with advanced techniques. Artificial Intelligence (AI) is penetrating our daily routines deeply, and shows great promise in exciting areas such as healthcare and autonomous driving cars. 

This course uses a hands-on, learning-by-doing approach to understanding the concepts behind Big Data and AI, the strategic drivers of these technologies and the value propositions that they provide to industries. In addition, the course will also serve as an introduction to some of the key technologies within this ecosystem, such as Hadoop, AWS, Pig, Hive, Amazon Web Services and Spark. Examples of AI using Deep Learning will be conducted in class. The focus is on creating awareness of the technologies, allowing some level of familiarity with them through hands-on exercises and projects, and enabling strategic thinking around the use of these technologies in business.

Operations Analytics
2 credits |  BUDT 758V | Elective Course

Computer Simulation
2 credits | BUDT 758Z | Elective Course

Second Year - Fall Semester

Price Optimization and Revenue Management
3 credits | BUDT 758L

Business Communication
1 credit | BUDT 758A

Capstone Project
3 credits| BUDT 758W

Core Courses

Managerial Economics and Public Policy
2 credits | BUSM 604

Basic microeconomic principles used by firms, including supply and demand, elasticities, costs, productivity, pricing, market structure and competitive implications of alternative market structures. Market failures and government intervention. Public policy processes affecting business operations.

Introduction to Financial Accounting
2 credits | BUSM 610

Overview of financial accounting, periodic financial statements and the financial reporting process. Importance of financial statements as information source for creditors and investors and as a means by which managers can communicate information about their firms.

Leadership and Teamwork
2 credits | BUSM 600

Course examines concepts of team-building and leadership which are critical to managerial success. Topics include leadership, decision making, communication and conflict, work motivation, building effective teams, and organizational change and culture.

Data Driven Decision Making
3 credits | BUSM 606

Analytical modeling of business decisions; uncertainty, risk, and expected utility; regression modeling to infer relationships among variables.

Financial Management
3 credits | BUSM 610

Focuses on the valuation of the real assets of firms as well as the valuation of stocks and bonds, the primary financial assets in an economy. While details vary, the conceptual foundations of valuation boil down to three themes: time value of money, no-arbitrage, and systematic risk.

Marketing Management
2 credits | BUSM 612

Analysis of marketing problems and evaluation of specific marketing efforts regarding the organization's products and services, pricing activities, channel selection, and promotion strategies in both domestic and international markets.

Strategic Management
2 credits | BUSM 614

Electives

Electives options may include courses from other business areas, including accounting, finance, information systems, management, marketing and supply chain management.

Data Mining and Predictive Analytics
2 credits | BUSM 761

Managing Organizational Change
2 credits | BUSM 758

Project Management
2 credits | BULM 736

Valuation in Corporate Finance
2 credits | BUSM 733

Business Consulting
2 credits | BUMO 758K

Integrated Brand Management 
2 credits | BUSM 758M

Competitive and Collaborative Negotiations
2 credits | BULM 724

Assessing & Managing Supply Chain Risk 
2 credits | BULM 734

Operations Analytics
2 credits | BUDT 758V

Core Courses

Financial Management
2 credits | BUFN 610

Financial Data Analysis
2 credits | BUFN 640

Capital Markets
2 credits | BUFN 620

Machine Learning in Finance
2 credits | BUFN 650 

Valuation in Corporate Finance
2 credits | BUFN 630

Derivative Securities
2 credits | BUFN 660

Track-Specific Courses

Financial Strategy For Corporations
2 credits | BUFN 710

Financial Restructuring
2 credits | BUFN 712

Corporate Risk Management
2 credits | BUFN 716

Entrepreneurial Finance and Private Equity
2 credits | BUFN 717

International Investment
2 credits | BUFN 721

International Corporate and Project Finance
2 credits | BUFN 723

Bank Management
2 credits | BUFN 724

Advanced Financial Modeling and Equity Analysis
2 credits | 2 BUFN 730

Fixed Income Analysis
2 credits | BUFN 732 | Asset Management track

Portfolio Management
2 credits | BUFN 734

Quantitative Investment Strategy
2 credits | BUFN 736

Financial Engineering
2 credits | BUFN 742

Fixed Income Derivatives
2 credits | BUFN 744

Text Mining for Economics and Finance
2 credits | BUFN 758A

Big Data in Finance
2 credits | BUFN 758D | Asset Management track

Market Microstructure
2 credits | BUFN 758X | Asset Management track

First Year - Fall Semester

Managing Digital Business Markets
2 credits | BUDT 758G

The objective is to understand the strategic and tactical issues involved in managing digital businesses and markets. Also, some of the characteristics of digital businesses and markets that make them unique and understand how companies can best manage them will be examined.

Data, Models, and Decisions
3 credits | BUDT 758Q

Explores basic analytical principles that can guide a manager in making complex decisions. A good decision uses sound reasoning and takes into account all of the relevant information that is available at the time the decision is to be made.

Database Management Systems
3 credits | BUDT 758Y

Introduction to the conceptual and logical design of relational database systems and their use in business environments. Topics include information modeling and optimization via normalization; Structured Query Language (SQL); Client/Server architectures; Concurrency & Recovery; Data Warehousing. 

Data Processing and Analysis in Python
3 credits | BUDT 758X

This course provides an introduction to the Python programming language for the purpose of processing, analyzing, and visualizing data. In addition, students will be introduced to developing basic regression, optimization, and simulation models in Python, using highly popular packages. Course emphasis is on mastering basic Python functionality and developing intermediate to advanced skills in working with data, through instruction and active learning.

Strategic and Transformational IT
2 credits | BUDT 758E

Introduces students to the key issues in managing information technology (IT) and provides an overview of how major IT applications in today's firms support strategic, operational, and tactical decisions. Topics include: synchronizing IT and business strategy; the transformational impacts of IT; evaluating and coping with new technologies; governing, managing, and organizing the IT function including outsourcing/offshoring considerations; assessing the business value of IT and justifying IT projects; and managing IT applications in functional areas to support strategy and business process.

First Year - Spring Semester

Project Management
2 credits | BUDT 758C | Core Course

Addresses project management skills that are required by successful managers in increasingly competitive and faster-moving environments. Examines fundamental concepts of successful project management, and the technical and managerial issues, methods, and techniques.

Business Process Analysis for Information Systems
3 credits | BUDT 758N | Core Course

Helps students gain a solid foundation in the concepts, processes, tools, and techniques needed in analyzing business processes and conducting information systems projects.

Computer Simulation for Business Applications
3 credits | BUDT 758K | Elective Course

This course covers the basic techniques for computer simulation modeling and analysis of discrete-event systems. Course emphasis is on conceptualizing abstract models of real-world systems (for example, inventory or queuing systems), implementing simulations in special purpose software, planning simulation studies, and analyzing simulation output. 

Google Online Challenge Analytics
3 credits | BUDT 758F | Elective Course

Data Mining and Predictive Analytics
3 credits | BUDT 758T | Elective Course

In business magazines, on TV, and in board rooms, “big data” and “data analytics” are now hot topics. Vast quantities of data are being generated these days, including new types of data such as web traffic, social network data, and reviews and comments on websites. This data is a valuable resource that, when used correctly, can create a competitive edge for companies by improving the quality of decision making. Recent advances in computing hardware and software have made the application of advanced analytical methods much easier. 

This course takes advantage of these developments to introduce data analytics to those interested in developing expertise in data-driven decision making. The course is intended to provide an introduction to the tools and techniques of data mining & machine learning that are central to business analytics, with particular emphasis on classification and prediction. The focus will be on business applications and examples from Marketing, Finance, Healthcare, and Operations will be used to illustrate the breadth of applications.

Second Year - Fall Semester

Big Data and Artificial Intelligence for Business
3 credits | BUDT 758B

Big data represents unprecedented opportunities for companies to generate insights and create wealth. Huge amount of data is being generated. At the same time, much of the big data is unstructured, in real time and only loosely connected. It defies the traditional ways of managing databases. This creates challenges even to tech-savvy companies on how to leverage the big data to gain competitive advantages. Challenges and opportunities coexist. To extract the great value from the data, we should be equipped with advanced techniques. Artificial Intelligence (AI) is penetrating our daily routines deeply, and shows great promise in exciting areas such as healthcare and autonomous driving cars. 

This course uses a hands-on, learning-by-doing approach to understanding the concepts behind Big Data and AI, the strategic drivers of these technologies and the value propositions that they provide to industries. In addition, the course will also serve as an introduction to some of the key technologies within this ecosystem, such as Hadoop, AWS, Pig, Hive, Amazon Web Services and Spark. Examples of AI using Deep Learning will be conducted in class. The focus is on creating awareness of the technologies, allowing some level of familiarity with them through hands-on exercises and projects, and enabling strategic thinking around the use of these technologies in business.

Applied Finance Information Systems
3 credits |  BUDT 758I

The focus of the course is to provide relevant background in financial industry and leverage student’s IT background to position them for possible IT/IS opportunities in financial industry. Topics covered will include R and Python for finance, credit risk management, portfolio analysis, financial trading, and time series data analysis.

This course will help students get various job position in ever-expanding financial industry. It provides a bridge between Financial domain and Information Systems. Some job positions that students may look after taking this course are Business Consultants, Financial Consultant, Financial Analysts, Credit Analyst, Credit Risk Managers, Portfolio Manager, Wealth Management Analyst and lots of other jobs in Financial Sector.

This course will focus on giving the theoretical foundation of topic covered in the syllabus along with their practical implementation. The course is split in 30:70 ratio of theory to practical. The course will be built upon various practices followed by several Fortune-500 companies. This course will also be accompanied by a major project where students will be practicing the concepts learned in the classes.

Health Information Systems
3 credits | BUDT 758M

Health care is the last major industry in the United States to successfully use automation to improve its effectiveness. This course considers the business implications of healthcare information systems. Topics include e-health and operational information systems, electronic medical / health records, EM/HR exchanges, electronic prescribing systems, electronic imaging, testing, and diagnostic systems, systems for preventive care and patient care in hospitals, care facilities, and homes, health care operations, and information privacy, security, reliability. 

Management of Information Systems
3 credits | BUDT 758J

To work together effectively for an organization's success, both business managers and IS managers must understand how to both manage and utilize information systems. This course explores management issues and opportunities of the IS function within organizations. Topics include e-business, protection of intellectual property and personal information, software development, IS operations, systems availability and business continuity, IS for multinational organizations, shadow IS organizations, business partnerships and alliances, and mergers, acquisitions, and divestitures. 

Decision Analytics
3 credits | BUDT 758P

What makes a decision difficult? Usually, the answer is that the decision requires us to spend scarce resources. A “resource” is any asset that can be leveraged to achieve business objectives: time, money, staff, trucks, computer cores, and research effort can all be viewed as resources. When you decide to spend your resource on something (e.g., investing into a research project, or accepting a delivery job), there is less of the resource that can be spent on something else. You thus have to think carefully about the tradeoffs involved in allocating resources to one objective as opposed to another.

This class develops a quantitative framework for studying resource allocation problems. Resource allocation problems arise in many industries and areas such as transportation, electronics, advertising, finance, and health care. The specifics of each problem are very different. Nonetheless, all resource allocation problems, in all of these areas, have common elements that behave in exactly the same way. We will develop an abstract modeling language that emphasizes these common elements, so that you will be able to write down any resource allocation problem on paper and then apply standard tools (such as Microsoft Excel) to obtain solutions.

First Year - Fall Semester

Marketing Strategy
3 credits | BUMK 720

Statistical Programming
3 credits | BUMK 726 | SAS Academic Specialization course

This course provides students with a foundation in probability and statistics with a focus on business applications. It also gives students a foundation for thinking in both likelihood and Bayesian frameworks. The course teaches students the basics of SAS, as well as its use in statistical analysis and statistical programming. Also addressed are basic SAS language structure, data management, OLAP, enterprise miner, statistical analysis, writing procedures.

Business Communications I
1 credits | BUMK 762

Advanced Marketing Analytics
3 credits | BUMK 742 | SAS Academic Specialization course

This course deals with the analysis of marketing data needed for profitable marketing decisions. It teaches students advanced methods of marketing analysis for marketing decisions, including choice and count data models, joint analysis of consumers__ choice, quantity and timing decisions, mixture and mixture regression models, and conjoint analysis, all using data-based cases and SAS software. Applications are in the areas of strategic marketing, marketing segmentation, eye tracking for advertising effectiveness, new product development, sales promotion analysis, pricing, design of marketing mix, and direct marketing.

First Year - Spring Semester

Data Science
3 credits | BUMK 746 | SAS Academic Specialization course

This class provides an introduction to data science and the basic concepts of database management. The course also provides an overview of the various sources of in house data that are available to many organizations. Students will learn how to work with click stream, scanner panel and social media data. Geo-demographic datasets will be discussed and explored, and techniques for data-fusion will receive ample attention.

Marketing Research and Analysis
3 credits | BUMK 744

This course provides students with a foundation in probability and statistics with a focus on business applications. It also gives students a foundation for thinking in both likelihood and Bayesian frameworks. The course teaches students the basics of SAS, as well as its use in statistical analysis and statistical programming. Also addressed are basic SAS language structure, data management, OLAP, enterprise miner, statistical analysis, writing procedures.

Action Learning Project
2 credits | BUMK 776

This is a 2 credit project based course where students will analyze marketing data, report their findings and provide appropriate recommendations.

Business Communications II
1 credits | BUMK 764

This course teaches students how to communicate quantitative information effectively. The course will focus on developing written, spoken and presentation skills.

CRM Analytics
2 credits | BUMK 758R | SAS Academic Specialization course

This is a 2 credit project based course where students will analyze marketing data, report their findings and provide appropriate recommendations.

Year 2 - Fall Semester

Customer Analysis
3 credits | BUMK 724

This course focuses on the analysis of customer decision-making and how marketing strategy can be used to influence those decisions. The framework used is the buyer behavior model, in which concepts from psychology, sociology, and economics are applied to individual and organizational purchase decisions. Marketing strategies of leading firms in consumer products, technology, and services (including internet services) are analyzed using a variety of case study formats.

Business Policies and Ethics
2 credits | BUMK 760

This course is a study of the standards of business conduct, morals and values as well as the role of business in society. Students will consider the sometimes conflicting interests of and claims on the firm and its objectives.

Pricing Analytics
2 credits | BUMK 773

The course will focus on the economic and behavioral aspects of pricing and the evaluation of innovative pricing practices such as price matching, customized pricing, bundle pricing and product line pricing. The course will cover both B2B, B2C, online and offline markets. Instruction will be through a mix of case studies, pricing simulation games, hands-on exercises, practitioner guest lectures and discussions.

Digital Analytics
2 credits | BUMK 766

This course examines the process of developing, implementing and analyzing strategies for successfully marketing a variety of existing and potential products and services on the Internet. Special attention is devoted to the tools and techniques unique to the electronic media.

Core Courses

Financial Management
2 credits | BUFN 610

Financial Data Analytics
2 credits | BUFN 640

Machine Learning in Finance
2 credits | BUFN 650 

Financial Mathematics
2 credits | BUFN 670

Capital Markets
2 credits | BUFN 620

Advanced Capital Markets
2 credits | BUFN 741

Financial Programming
2 credits | BUFN 745

Valuation in Corporate Finance
2 credits | BUFN 630 

Derivative Securities
2 credits | BUFN 660

Elective Courses

Financial Strategy For Corporations
2 credits | BUFN 710

Financial Restructuring
2 credits | BUFN 712

Corporate Risk Management
2 credits | BUFN 716

Entrepreneurial Finance and Private Equity
2 credits | BUFN 717

International Investment
2 credits | BUFN 721

International Corporate and Project Finance
2 credits | BUFN 723

Bank Management
2 credits | BUFN 724

Applied Equity Analysis
2 credits | BUFN 730

Fixed Income Analysis
2 credits | BUFN 732

Portfolio Management
2 credits | BUFN 734

Quantitative Investment Strategy
2 credits | BUFN 736

Financial Engineering
2 credits | BUFN 742

Fixed Income Derivatives
2 credits | BUFN 744

Financial Institute Risk Management
2 credits | BUFN 758R

Special Topics in Finance
2 credits | BUFN 758

Market Microstructure
2 credits | BUFN 758X | Asset Management track

First Year - Fall Semester

Business Fundamentals for Supply Chain Managers
2 credits | BULM 700

This course is part of a series of two courses Business Fundamentals for SCM part I and, part II. The series is intended to provide you with the knowledge and skills necessary to quantify the impact of supply chain management decisions on the bottom line. Students will gain a solid understanding of accounting, finance and the link between supply chain and overall financial performance. Students will analyze financial statements and explain the implications of supply chain management decisions on standard financial ratios and all components of the balance sheet and income statement. Through interactive supply chain finance models, students will demonstrate the sensitivity of outcome to multiple independent variables. Last but not least, students will also learn how to apply the net present value technique to evaluate the feasibility of investment projects in supply chain.

Business Fundamentals for Supply Chain Managers II
2 credits | BULM 701

This is the second course of the series Business fundamentals for Supply Chain Managers. This course is intended to provide you with the knowledge and skills necessary to quantify the impact of supply chain management decisions on the bottom line. Students will gain a solid understanding of accounting, finance and the link between supply chain and overall financial performance. Students will analyze financial statements and explain the implications of supply chain management decisions on standard financial ratios and all components of the balance sheet and income statement. Through interactive supply chain finance models, students will demonstrate the sensitivity of outcome to multiple independent variables. Last but not least, students will also learn how to apply the net present value technique to evaluate the feasibility of investment projects in supply chain.

Data Driven Decision Making I
2 credits | BULM 710

Analytical modeling of business decisions; uncertainty, risk, and expected utility; regression modeling to infer relationships among variables.

Data Driven Decision Making II
2 credits | BULM 711

Analytical modeling of business decisions; uncertainty, risk and expected utility; regression modeling to infer relationships among variables.

Global Supply Chain Management
2 credits | BULM 721

Offers a practical blueprint for understanding, building, implementing, and sustaining supply chains in today's rapidly changing global supply chain environment. It will provide the student with a survey of the fast-moving Supply Chain Management discipline and practice, including the evolution of supply chain strategies, business models and technologies; current best practices in demand and supply management; and methodologies for conducting supply chain-wide diagnostic assessments and formulating process improvement plans.

Global Supply Chain Resources Planning
2 credits | BULM 742

Provides students with an overall understanding of how firms use an advanced supply chain planning (ASCP) application as an integral part of their materials management process which includes such activities as production planning, materials requirements planning, and distribution requirements planning.

First Year - Spring Semester

Technology Applications in Supply Chain Management
2 credits | BULM 731

In this course, we introduce the knowledge and skills necessary to quantify the impact of supply chain management decisions on the bottom line. Students will gain an understanding of accounting, finance, production cost, scheduling, and the link between supply chain and overall financial performance.

Global Transportation Management
2 credits | BULM 754

The intent of this course is to introduce transportation as a field of managerial and governmental responsibility and to understand the features that make the transportation arena unique and, thus,worthy of advanced study. Each of the five modes of transportation, along with other forms of carriage, will be considered. In addition, the importance of freight transportation within supply chain management will be examined. Issues related to passenger transportation will also be addressed. Throughout the course, particular attention will be paid to the significant impact that transportation has on economic development and growth.

Project Management
2 credits | BULM 735

Addresses project management skills that are required by successful managers in increasingly competitive and faster-moving environments. Examines fundamental concepts of successful project management, and the technical and managerial issues, methods, and techniques. 

Assessing and Managing Supply Chain Risks
2 credits | BULM 734

Supply chain managers are facing an increasingly volatile operating environment, with constant danger of trading community disruption from business, social and environmental risks. Students are provided with a working knowledge of both the core techniques of supply chain risk assessment and mitigation; as well as best practices in establishing formal corporate supply chain risk management programs. A semester-long X-Treme Supply Chain Simulation will enable students to gain hands-on experience in navigating a computer company through a complex and risky four quarters of global business operations.

Negotiations in Supply Chain Management
2 credits | BULM 724

This high experiential course will improve students' negotiation skills and capacity to acquire and effectively use power. By using a variety of assessment tools, feedback sources, skill-building exercises, and exercise debriefings, the class will increase students' negotiating self-confidence and improve their capacity to achieve win-win solutions to individual, team, and organizational problems. The course is designed to enhance students negotiating self confidence and improve students analytical skills, interpersonal skills, creativity (e.g., identifying creative solutions to conflict), and persuasive abilities.

Second Year - Fall Semester

Networks and Influence
2 credits | BULM 732

Focuses on networks, social capital, and influence as they relate to operating effectively in organizations. It draws heavily on emerging literature related to social capital and networks, but also integrates concepts from persuasion, communication, and motivation literatures to aid your efforts to build a successful track record for yourself and your organization.

Lean Sigma for the Supply Chain
2 credits | BULM 750

This course is part of a series of courses. This the second part of the Lean Six Sigma for SC Managers course series. We will be focusing on the Analyze, Improve and Control phases of the Lean Six Sigma methodology. Lean Six Sigma is a robust methodology for problem solving aiming to improve quality and reduce speed within a process. This course covers up to the Lean and Six Sigma Green Belt level body of knowledge. You will be expected to conduct a project on a case study of a business looking to improve their processes to meet customer requirements.

Lean Sigma for the Supply Chain II
2 credits | BULM 751

This course is part of a series of courses. The first part will cover the Introduction, Define and Measure Phases of the Lean Six Sigma Methodology. Lean Six Sigma is a robust methodology for problem solving aiming to improve quality and reduce speed within a process. This course covers up to the Lean and Six Sigma Green Belt level body of knowledge. You will be expected to conduct a project on a case study of a business looking to improve their processes to meet customer requirements. 

Supply Chain Strategy
2 credits | BULM 756

The course examines supply chain management at the strategic level. Through class lectures, case discussions, and assignments, students first learn about the determinants of corporate strategy. Supply chain strategies are then discussed, along with the need to properly align supply chain strategy with corporate strategy. Finally, there is a discussion of how to implement supply chain strategy, given various environmental and market considerations.

0 Credits | BMGT099 | Download Sample Syllabus

This online course allows you to gain academic recognition for completing an internship in your area of study. This course is offered through Maryland Smith’s Office of Career Services (OCS).

  • The course is offered in fall, winter, spring and summer semesters.
  • You’ll apply the business concepts you learn in class to the real world. Gain more industry insight, clarify your career goals, and develop your professional and technical skills.
  • Assignments include completing a work log, reflection activity, LinkedIn post and employer survey. All are completed virtually using Canvas.

Prerequisites and Guidelines

Prior approval from OCS is required to register for the course. More information on this process can be found in the Registration ProcessProcess Map and Registration Approval Checklist documents. To be approved, you must:

  • Be in good academic standing. 
    You must be a current student enrolled in a specialty master’s program for at least two consecutive semesters. You must also have a GPA of 3.0 or higher.
  • Meet the working hours requirement and location guidelines. 
    You must work at least 75 hours at your internship during that semester. Depending on which semester you enroll, workplace location guidelines may also apply.
  • Update your Internship putcome and complete an Experiential Learning profile. 
    Submit your information on HireSmith and upload the following forms to your Experiential Learning profile:

Special Guidelines for International Students

Registration in this course does not guarantee Curricular Practical Training (CPT). However, this course does fulfill the academic requirement for CPT. Authorization is granted by the Office of International Student and Scholars and Services (ISSS). Once you are enrolled in this course, see ISSS for more details on CPT authorization.

For questions about the course and receiving internship credit, email Neta Moye, assistant dean and executive director of the Office of Career Services, at SmithBMGT099@umd.edu.

Back to Top