The University of Oklahoma’s Gallogly College of Engineering offers a fully online M.S. in Engineering Leadership & Management degree designed to shape the engineers of tomorrow, empowering them with the essential tools and knowledge to thrive in the dynamic world of engineering leadership and management. The online M.S. in Engineering Leadership & Management (ELM) is an accelerated, 30-credit-hour program, which can be completed in 12 months.
Master a comprehensive understanding of professional codes of conduct, ethical principles, and their application to AI concepts, enabling you to effectively address issues related to bias avoidance, risk mitigation, and privacy assurance in the realm of AI.
Students can expect to gain the skills to proficiently establish, lead, manage, and collaborate within multidisciplinary teams, enabling them to effectively and efficiently solve complex real-world problems.
Earning your master’s degree from the Gallogly College of Engineering puts you in great company, as the college is recognized by U.S. News and World Report as a top-100 engineering school.
Each class is carefully selected to foster a personalized, engaging experience with both faculty and peers. The format includes both synchronous and asynchronous activities.
Gain access to industry leaders including respected guest speakers, networking, and collaborative student experiences.
Tuition for the online M.S. in Engineering Management program is $29,550* for the entire program ($985/credit hour). Fees associated with the program are included in this cost. Books and materials are additional.
Once accepted into the M.S. ELM program, students are required to submit a $350 non-refundable deposit within two weeks. Deposits are applied toward tuition expenses and secure a student’s place in the upcoming class.
*Tuition and fees are subject to change at the discretion of the Oklahoma State Regents for Higher Education.
To apply to the online Master of Science in Engineering Leadership & Management program, students must hold a bachelor’s degree from a regionally accredited college or university (or the international equivalent).
Applicants should have a solid foundation in Calculus I, Calculus II, and Statistical Analysis as assumed coursework. If candidates are lacking assumed knowledge of coursework, their application will still be considered on a case-by-case basis. Admissions will occur on a rolling basis and are at the discretion of the admissions committee. Transfer credits will be accepted at the discretion of the admissions committee.
Students who wish to apply must:
Engineering Leadership and Management
Credit Hours – 3
Prerequisites: junior standing or senior standing; or graduate standing; or instructor permission. This course will help prepare students for leadership and management positions in a global culture. The course emphasizes team building attributes in a multi-cultural organization, how to build commitment among team members, and how to organize to compete in the global marketplace. Students will gain a better understanding of themselves and their personal and professional goals. (F, Sp)
Prerequisite: Graduate standing. The goal of this course is to impart effective communication abilities to engineers. The course will teach Engineers at all stages of their career skills for effective communication with teammates, clients, and employees and/or pursuing the next level of leadership opportunities. Students will learn to create and deliver powerful presentations and documents. (F, Sp, Su)
Prerequisite: Graduate standing. It covers various tools that can be applied to data to extract the knowledge that can be applied for engineering management decision-making. The main objective is to understand the world of data science and analytics, including descriptive, predictive, and prescriptive analytics as a tool for informed decision-making. (F, Sp, Su)
Prerequisite: Graduate Standing. This course will discuss the application of scientific principles and techniques to problems of cost estimating, cost control, business planning, profitability analysis, project management, and planning and scheduling. It will provide an understanding of both the tools and models that can be used throughout the design, development, and support phases, and examine the trade-offs between system performance and life-cycle cost. (Su)
Prerequisite: Graduate standing. In this course, you will learn that engineering systems are made of complex interconnections of interrelated subsystems. You will learn how to recognize these subsystems and understand their relationships to build efficient engineering systems. You will learn to use and develop optimization models, understand systems engineering life-cycle, and model-based systems thinking. (F, Sp, Su)
Prerequisite: Graduate Standing. In this course, you will learn to assemble the skills, talents, and resources of individuals and groups in effective and efficient ways to best solve the engineering problem at hand. You will learn inter-personnel management skills and tools for creating positive and supportive team cultures and incorporating and supporting diversity in teams. (F, Sp, Su)
Prerequisite: Graduate Standing. In this course, you will learn the underlying principles of negotiation and influence skills that can be effectively employed with supervisors, peers, and team members in engineering environments. Concepts such as the zone of possible agreements, the best alternative to negotiated agreements, and sources of influence are put into practice. (F, Sp, Su)
Credit Hours – 3
Prerequisite: Graduate Standing. In this capstone course, students work on a team-based multi-disciplinary project that addresses an industry-based engineering management problem. It is meant to integrate the many tools utilized by engineering managers as taught in the coursework of the engineering management and leadership program. Students are required to produce a written report and give an oral presentation. (F, Sp, Su)
Prerequisite: Graduate standing. This course provides the fundamentals of decision analysis and explores how analyzing risk can be incorporated into good decision-making. Normative and prescriptive approaches to making decisions when uncertainty exists are central to this course. Topics covered include structuring decision problems, developing alternatives, single and multiple objectives, utility theory, risk tolerance, data-driven, and subjective probability, and psychological pitfalls, among others. (F, Sp, Su)
Prerequisite: Graduate Standing. This course provides the fundamentals of systems engineering by offering an overview of the discipline and then focusing on the management of system requirements and developing how a system will meet them. We will discuss the definition of systems, the system development life cycle, and the systems engineering method. Topics include Detail design, requirement analysis and decomposition, and system architecting. (F, Sp, Su)
