University of Massachusetts Amherst

Search Google Appliance

Links

MSEM Program Courses

The program is comprised of five core courses and five elective courses chosen from a broad selection of engineering and management offerings.

The required courses are as follows:

At least three electives must be at the 600 level or above, and two electives at the 500 level or above. One elective can be satisfied by independent study. Electives should be chosen in cooperation with their advisor.

Popular electives

Students can choose from a wide variety of electives on-campus and online to both deepen their engineering expertise and broaden their management skills. Here are just a few highlights:

Course Descriptions

MIE 697 SE Principles of Systems Engineering

The role of the systems engineer/manager is multifaceted – understanding customer, technical and operational requirements w.r.t. the product, requirements of the system, roles, tasks and critical paths to implementation until phase out.  SE is based on the principles of analysis, synthesis, evaluation and feedback, which are essential elements in critical thinking and complex problem solving in business.  The objective of SE is to see to it that the system is designed, built, and operated so that it accomplishes its purpose in the most cost-effective way possible, considering critical performance indicators.  Every business comprises of systems and the systems perspective plays a critical part of the decision making and implementation process involving program and project management elements.

The link between the soft and hard issues in SE makes it uniquely qualified to bridge the gap between the engineer as manager and the manager as engineer. It also provides an opportunity for management and engineering students to work together on projects and determine a richer understanding and provide a better outcome than they would in segregation. The course is ideal for engineers who want to develop themselves further using technical knowledge from fields like mechanical, environmental, chemical or industrial engineering to design a system around the outcomes from these fields.  The course is ideal for management students who want to understand the big picture and be able to work in an integrated diverse environment.

MIE 657 – Human Factors Design

Design of engineering systems, machines, consumer goods, etc. which accommodate the characteristics of human users, operators and maintainers. Methods for obtaining data about human performance, preferences, tolerances, and group behavior needed in engineering design problems. Case methods used with comprehensive readings in the literature. Student projects relating to human factors in design.

MIE 686 – Multiple Criteria Decision Making & Decision Analysis

Decision problems involving the choice between alternatives when uncertainty is present. Emphasis on practical applications of this method, rather than on the more abstract theory. Topics include the structure of a decision analysis problem, the assessment of the decision-maker’s value structure.

MIE 754 Engineering Economic Decision Making

 Integrated treatment of elements of engineering economy, economics, accounting, finance and operations research to provide a unified background for economics decision making.

MIE 532 – Network Optimization

Introduction to use of network optimization in IE/OR. Algorithm design and analysis, including: shortest path problems, minimum spanning trees, matching, optimal assignment, maximum flow, the traveling salesman problem, the Chinese postman problem, others. Numerous engineering applications stressed throughout. Prerequisite: M&I-ENG 379 or equivalent.

MIE 651 – Advanced Production Planning and Control

Quantitative approach to modeling and analysis of inventory and production systems, aggregate planning, scheduling, sequencing and forecasting. Activities are grounded on practical applications and build on extensive industry experience.

MIE 597C – Operations Research in Healthcare

This course will cover operations research and systems engineering methods and their applications in healthcare delivery and medical decision-making. The use of these methods for healthcare has recently become an active and growing area of research in diverse contexts such as organ transplant decisions, evaluation of cost effectiveness of preventive screening, scheduling of healthcare services, patient access management, and the coordination of resources for elective and emergency services. The methods introduced in class for modeling such contexts include linear and integer programming, stochastic optimization, Markov decision processes, and discrete event simulation. Policy implications will also be discussed.

MIE 597EP – Engineering Information and Project Management

This course teaches project management, focusing on the integration of business operations, information management, and leadership techniques to manage the implementation of engineering projects effectively.

MIE 597EL – Engineering Leadership and Management

Learn vital leadership, management, and entrepreneurial skills as you guide your own startup idea through a real life simulation that will take you from pitching your idea to running a ~100 person engineering organization. You will face the ups and downs of defining your product, scheduling, hiring, growing an organization, delivering difficult messages, and seeing your company grow, providing you with skills that you will be able to tap throughout your career as an engineering leader.

MIE 573 – Engineering Windpower Systems

Engineering aspects of windpower systems including aerodynamic analysis, mechanical design, support structure design, wind field analysis, system concepts and analysis, and economics.

SCH-MGMT 602 – Business Intelligence and Analytics

This course provides an introduction to Business Intelligence, including the processes, methodologies, infrastructure, and current practices used to transform business data into useful information and support business decision-making. Business Intelligence requires foundation knowledge in data storage and retrieval, thus this course will review logical data models for both database management systems and data warehouses. Students will learn to extract and manipulate data from these systems and assess security-related issues. Data mining, visualization, and statistical analysis along with reporting options such as management dashboards and balanced scorecards will be covered.

SCH-MGMT 650 – Business Data Analysis and Statistical Methods

This course provides an overview of statistical analysis and inference. The goal is to present a broad introduction to statistical thinking, concepts, methods, and vocabulary. The course has an emphasis on business applications.

SCH-MGMT 680 – Leadership and Organizational Behavior

Provides an overview of different perspectives and approaches to leadership practice and related organizational behavior topics. Relying on a participative multi-learning approach, the course goes beyond traditional leadership practices to examine empowering leadership approaches for addressing contemporary organizational behavior challenges such as leading teams. The overall objective is to increase students’ understanding of and ability to apply contemporary leadership and organizational behavior knowledge in work situations.

SCH-MGMT 632 – Strategic Information Management

Provides an overview of different perspectives and approaches to leadership practice and related organizational behavior topics. Relying on a participative multi-learning approach, the course goes beyond traditional leadership practices to examine empowering leadership approaches for addressing contemporary organizational behavior challenges such as leading teams. The overall objective is to increase students’ understanding of and ability to apply contemporary leadership and organizational behavior knowledge in work situations.

SCH-MGMT 633 – Financial and Managerial Accounting

An overview of the concepts and language of financial and managerial accounting that covers how accounting information can be used as an effective tool for communication, monitoring, and resource allocation.  Topics include the principles and methodologies underlying financial statements and the inherent limitations of that information.  Additional topics include cost behavior, cost analysis and tools used to motivate and coordinate business activities.

SCH-MGMT 640 – Corporate Finance

The purpose of this course is to introduce students to the area of corporate finance and investments. Students will learn about the basic concerns and responsibilities of financial managers, and gain an appreciation of the methods of analysis employed by them. Students will learn both the theory and practice of corporate finance and investments.

SCH-MGMT 650 – Business Data Analysis

This course provides an overview of statistical analysis and inference. The language and methods of statistics are used throughout the MBA curriculum, both in the classroom and in assigned readings. In addition, the language and methods of statistical analysis have permeated much of academic and professional writing as well as media reporting, both inside and beyond the business community. The goal is to present a broad introduction to statistical thinking, concepts, methods, and vocabulary. The course has an emphasis on business applications.

SCH-MGMT 670 – Operations Management

The goal of this course is to teach leaders what they need to know in order to build high-performance operations with world-class processes of innovation and continuous improvement. We cover the most current methodologies and tools, together with the most important soft skills required, to create efficient and responsive operations that deliver the highest quality services and products.

SCH-MGMT 783 – Business Law

Examines and evaluates legal problems as they relate to the business environment. Course will deal with areas of law including contracts, agency, ethics, bankruptcy, business organization and other areas of commercial law.

SCH-MGMT 697CA – Supply Chain Analytics

Supply chain constitutes a core competency, spanning most business functions required for the delivery of products and services to consumers. Advances in information technology and analytics facilitate continued improvement in supply chain infrastructure and operations efficiency. This course will introduce fundamental concepts in supply chain management, IT-enabled supply chain operations, procurement management, production planning, inventory management, and logistics and transportation. The course involves the use of Excel to support decision making, the study of selected business case studies, and the use of a team-based supply chain simulation game.