Master of Science in Engineering Managment (M.S.E.M.)
| Degree Offered | Master of Science in Engineering Management (MSEM) |
| Website | https://www.uab.edu/engineering/mme/graduate/ms-materials |
| Director | Dale W. Callahan, PhD, PE |
| msem@uab.edu | |
| Phone | (205) 934-8480 |
The Master of Science in Engineering Management (MSEM) is a joint degree between the School of Engineering and the Collat School of Business. The MSEM will further develop the technical, managerial, and professional capabilities of engineering graduates, preparing them for earlier entry into positions of leadership within a wide variety of industries and organizational types. The technical engineering coursework emphasizes a systems-oriented, multidisciplinary approach to solving complex problems. The managerial and professional coursework develops essential business acumen, an ability to think strategically, and a commitment to professional work habits that are the hallmark of excellence in engineering.
Graduates will be well-prepared for positions as engineers, project managers, program managers, product managers, consultants, technical sales representatives, technical sales support specialists, and engineering managers. They will have the knowledge and skills to manage an organization’s relationship with technology vendors, evaluate technical proposals, develop internal technical training and education programs, or bring both a business and a technical perspective to cross-functional teams focused on strategic alignment or evaluation of emerging technologies. Graduates will also be prepared to pursue advanced degrees.
Admissions Requirements
Applicants to the program are expected to have one of the following:
- An undergraduate engineering degree with a minimum GPA of 3.0 on a 4.0 scale, or
- Junior or senior standing in good standing with a minimum GPA of 3.0 on a 4.0 scale in an engineering undergraduate degree program (undergraduate degree must be earned prior to matriculation)
International applicants must submit English proficiency scores in accordance with UAB Graduate School requirement. Click here for details
Application Deadlines
| Entry Term | Deadline |
|---|---|
| Application Submission Deadline for Entry Terms | Fall: August 1; Spring: December 1; Summer: May 1 |
| Deadline for All Application Materials to be in the Graduate School office | Seven business days before term begins (see UAB academic calendar - https://www.uab.edu/students/academics/academic-calendar) |
Master of Science in Engineering Management
The MSEM degree consists of 18 hours of core courses, 3 hours of capstone or internship, and 12 hours of student-selected electives with guidance from the Program Director.
The MSEM degree allows the student to have both professional management knowledge and in-depth technical knowledge of the chosen field of study (biomedical, civil, construction, environmental, electrical, computer, materials, mechanical, or structural engineering).
Special Topics (590/690/790) courses and Independent Study (591/691/791) courses are reviewed for degree applicability for each program in the School of Engineering. No more than 6 combined hours of Special Topics and/or Independent Study courses will be applied to the MSEM without appeal to and approval from the Program Director.
The School of Engineering offers similar courses at the 400/500 and 600/700 levels. While the higher numbered course has more advanced content, there is a significant overlap in topics. Therefore, students are not allowed to take a 500-level or 700-level course for credit if they have previously taken the related 400-level or 600-level course, respectively.
| Requirements | Hours | |
|---|---|---|
| MBA 601 | Accounting and Finance for Managers | 3 |
| MBA 681 | From Idea to IPO | 3 |
| or MBA 683 | Leading Innovation | |
| MSEM 640 | Systems Engineering | 3 |
| MBA 631 | Management and Organizations | 3 |
| MSEM 650 | Technical Project Management | 3 |
| MSEM 660 | Professional Development for Engineers | 3 |
| MSEM 695 | Engineering Management Design Project | 3 |
| or MSEM 696 | Engineering Management Internship | |
| Electives | 12 | |
| Introduction to System Safety - Prevention through Design | ||
| Hazard Analysis and Waste Elimination 1. | ||
| Human Performance and Engineering Design 1. | ||
| Engineering Ethics and Acceptable Risk 1. | ||
| Leading through Climates of Change 1. | ||
| Policy Issues in Prevention through Design 1. | ||
| Crisis Leadership 1. | ||
| Electrical Systems Safety 1. | ||
| Machinery Safety Management System 1. | ||
| AI for Workplace Safety Opportunities, Applications, and Ethical Considerations 1. | ||
| Emerging Trends in Safety Engineering 1. | ||
| Safety Management Systems 1. | ||
| Implant-Tissue Interactions | ||
| Current Topics in Stem Cell Engineering | ||
| Tissue Engineering | ||
| Medical Image Processing | ||
| Machine Learning for Biomedical Engineering Applications | ||
| Computational Neuroscience | ||
| Bioelectric Phenomena | ||
| Cardiac Electrophysiology | ||
| Mechanobiology | ||
| Continuum Mechanics of Solids | ||
| Industrial Bioprocessing and Biomanufacturing | ||
| Engineering Analysis | ||
| Skin and Bone Regeneration | ||
| Immune-Engineering: Biomaterial Toolbox for Immune-Modulation | ||
| Dynamical Biological Systems | ||
| Biomedical Imaging-Oncology | ||
| NextGen BioMed-Research Technologies and Skills | ||
| Neural Computation | ||
| Computational Vision | ||
| Biomolecular Modeling | ||
| Engineering Analysis | ||
| Skin and Bone Regeneration | ||
| Immune-Engineering: Biomaterial Toolbox for Immune-Modulation | ||
| Dynamical Biological Systems | ||
| Biomedical Imaging-Oncology | ||
| NextGen BioMed-Research Technologies and Skills | ||
| Neural Computation | ||
| Computational Vision | ||
| Cellular Therapy | ||
| Fracture Mechanics | ||
| Biomolecular Modeling | ||
| Building Information Modeling (BIM) | ||
| Mechanical Vibrations | ||
| Advanced Mechanics | ||
| Foundation Engineering | ||
| Water Supply/Drainage Design | ||
| Water Supply/Drainage Design Laboratory 2. | ||
| Energy Resources | ||
| Air Quality Modeling and Monitoring | ||
| Environmental Experimental Design and Field Sampling Lab 2. | ||
| Highway Materials and Construction | ||
| Pavement Design & Construction | ||
| Civil Engineering Analysis II | ||
| Engineering the Built Environment | ||
| Green Infrastructure and Transportation | ||
| Principles of Sustainable Development | ||
| Design of Wood Structures | ||
| Design of Masonry Structures | ||
| Prestressed Concrete Design | ||
| Concrete Technology | ||
| Structural Mechanics | ||
| Introduction to the Finite Element Method | ||
| Advanced Structural Analysis | ||
| Structural Dynamics | ||
| CE Construction Documents | ||
| Wind and Seismic Loads | ||
| Bridge Engineering | ||
| Construction Safety and Health Management | ||
| Introduction to Water and Wastewater Treatment | ||
| Engineering Hydrology | ||
| Construction Engineering Management | ||
| Sustainable Construction | ||
| Project Management | ||
| Engineering Entrepreneurship | ||
| Green Building Design | ||
| Theory of Elasticity | ||
| Theory of Elastic Stability | ||
| Theory of Plates and Shells | ||
| Traffic Flow Theory | ||
| Non-Motorized Transportation Design and Planning | ||
| Intelligent Transportation Systems | ||
| Pavement Design and Construction | ||
| Traffic Engineering Operations | ||
| Urban and Transportation Planning | ||
| Engineering Liability | ||
| Advanced Structural Steel | ||
| Advanced Reinforced Concrete | ||
| Engineering Management | ||
| Finite Element Methods | ||
| Water Treatment Engineering | ||
| Building Information modeling (BIM) Techniques | ||
| International Construction Contracts/Liability | ||
| Theory of Elasticity | ||
| Theory of Elastic Stability | ||
| Theory of Plates and Shells | ||
| Traffic Flow Theory | ||
| Non-Motorized Transportation Design and Planning | ||
| Intelligent Transportation Systems | ||
| Engineering Liability | ||
| Advanced Structural Steel | ||
| Advanced Reinforced Concrete | ||
| Engineering Management | ||
| Finite Element Methods | ||
| Advanced Project Management 1. | ||
| Construction Estimating and Bidding 1. | ||
| Construction Liability & Contracts 1. | ||
| Construction Methods and Equipment 1. | ||
| Project Planning and Control 1. | ||
| Green Building Design/Construction 1. | ||
| Advanced Construction and Engineering Economics 1. | ||
| Construction Project Risk Management 1. | ||
| Construction Management and Leadership Challenges in the Global Environment 1. | ||
| Building Information Modeling (BIM) Techniques 1. | ||
| Principles of Sustainable Development 1. | ||
| Introduction to Sustainable Smart Cities 1. | ||
| Low-Carbon and Renewable Energy Systems for Smart Cities 1. | ||
| Managing Natural Resources and Sustainable Smart Cities 1. | ||
| Green Infrastructure and Transportation 1. | ||
| Health and Livability 1. | ||
| Green Buildings 1. | ||
| Smart Cities Technologies 1. | ||
| Big Data and Smart Cities 1. | ||
| Research Methods and Project Planning 1. | ||
| Wood and Masonry Design 1. | ||
| Advanced Mechanics of Materials for Structural Engineering 1. | ||
| Advanced Design of Steel Structures 1. | ||
| Advanced Reinforced Concrete 1. | ||
| Prestressed Concrete Behavior and Design 1. | ||
| Advanced Structural Analysis 1. | ||
| Bridge Engineering 1. | ||
| Structural Dynamics and Earthquake Engineering 1. | ||
| Design of Structural Steel Connections 1. | ||
| Practical Computer Vision | ||
| Wireless Communications | ||
| Communication Systems | ||
| Digital Signal Processing | ||
| Control Systems | ||
| Industrial Control | ||
| Analog Integrated Electronics | ||
| Introduction to Computer Networking 2. | ||
| Engineering Software Solutions | ||
| Power Semiconductor Electronics | ||
| Introduction to Embedded Systems | ||
| Computer Architecture | ||
| Real-Time Process & Protocols | ||
| Internet/Intranet Application Development 2. | ||
| Software Engineering Projects 2. | ||
| Digital Systems Design | ||
| Medical Instrumentation | ||
| Machinery II | ||
| Medical Image Analysis | ||
| Brain Machine Interface | ||
| Introduction to Large Language Models | ||
| Power Systems I | ||
| Power Systems II | ||
| Protective Relaying of Power Systems | ||
| Engineering Operations | ||
| Special Topics in Electrical and Computer Engineering | ||
| Technical Communication for Engineers | ||
| Design of CMOS Analog Integrated Circuits | ||
| Random Variables and Processes 2. | ||
| Advanced Communication Theory 2. | ||
| Computer Vision | ||
| Digital Communications 2. | ||
| Information Theory and Coding 2. | ||
| Digital Image Processing | ||
| Wireless Communications | ||
| Short-Range Wireless Systems | ||
| Introduction to Computer Networking | ||
| Experiments in Computer Networking | ||
| Introduction to Neural Networks | ||
| Advanced Digital Design | ||
| Design of Modern Computer with Digital Integrated Circuits | ||
| Neural Time Series Data Analysis | ||
| Embedded Systems | ||
| Object-Oriented Design | ||
| Modern Control Theory | ||
| Intelligent Systems | ||
| Numerical Methods in Engineering | ||
| Software Engineering | ||
| Software Engineering Large Systems - I | ||
| Mobile Computing | ||
| Cloud Computing | ||
| Introduction to Big Data Analytics | ||
| Machine Learning in Engineering | ||
| Medical Signal Processing | ||
| Advanced Brain Machine Interface | ||
| Large Language Models: Theory and Practice | ||
| Electromagnetic Field Theory I | ||
| Technical Communication for Engineers | ||
| Design of CMOS Analog Integrated Circuits | ||
| Random Variables and Processes | ||
| Advanced Communication Theory | ||
| Computer Vision | ||
| Digital Communications 2. | ||
| Information Theory and Coding 2. | ||
| Digital Image Processing | ||
| Wireless Communications | ||
| Short-Range Wireless Systems | ||
| Introduction to Computer Networking | ||
| Experiments in Computer Networking | ||
| Introduction to Neural Networks | ||
| Advanced Digital Design | ||
| Design of Modern Computers with Digital Integrated Circuits | ||
| Neural Time Series Data Analysis | ||
| Embedded Systems | ||
| Object-Oriented Design | ||
| Modern Control Theory | ||
| Intelligent Systems | ||
| Numerical Methods in Engineering | ||
| Software Engineering | ||
| Software Engineering Large Systems - I | ||
| Software Engineering Large Systems - II | ||
| Mobile Computing | ||
| Cloud Computing | ||
| Introduction to Big Data Analytics | ||
| Machine Learning in Engineering | ||
| Medical Signal Processing | ||
| Advanced Brain Machine Interface | ||
| Large Language Models: Theory and Practice | ||
| Electromagnetic Field Theory I | ||
| Special Topics in Engineering | ||
| Individual Study in Engineering | ||
| Special Topics | ||
| Communication for Technology Professionals 1. | ||
| Leading Technical Organizations 1. | ||
| Project Leadership 1. | ||
| Technical Entrepreneurship 1. | ||
| Technology and Innovation 1. | ||
| Systems Engineering 1. | ||
| Operational Decision-Making 1. | ||
| Financial Concepts for Entrepreneurs 1. | ||
| Strategic Planning 1. | ||
| Intermediate Fluid Mechanics | ||
| Introduction to Computational Fluid Dynamics Basics | ||
| Vehicular Dynamics | ||
| Introduction to Vehicle Drive Systems Engineering 2. | ||
| Introduction to Electric Vehicles | ||
| Combustion | ||
| Internal Combustion Engines | ||
| Power Generation | ||
| Heating, Ventilating, & AC | ||
| Thermal-Fluid Systems Design | ||
| Building Energy Modeling and Analysis 2. | ||
| Introduction to Finite Element Method | ||
| Mechanical Vibrations | ||
| Systems Engineering | ||
| Automated Manufacturing | ||
| Instrumentation and Measurements | ||
| Special Topics in Mechanical Engineering | ||
| Advanced Fluid Mechanics | ||
| Introduction to Computational Fluid Dynamics | ||
| Advanced Computational Fluid Dynamics | ||
| Introduction to Turbulent Flows | ||
| Dynamics and Mobility of Vehicles: Modeling and Simulation | ||
| Autonomous Wheel Power Management Systems: Theory and Design | ||
| Heat Conduction | ||
| Radiation Heat Transfer | ||
| Transport Phenomena | ||
| Math Methods in EGR I 2. | ||
| Math Methods in EGR II 2. | ||
| Engineering Statistics 2. | ||
| Computational Methods in EGR 2. | ||
| Intro to Continuum Mechanics 2. | ||
| Advanced Dynamics | ||
| Mechanics of Plates and Shells | ||
| Advanced Finite Element Analysis 2. | ||
| Fluid-Structure Interactions | ||
| Special Topics in (Area) | ||
| Advanced Fluid Mechanics | ||
| Introduction to Computational Fluid Dynamics 2. | ||
| Advanced Computational Fluid Dynamics 2. | ||
| Introduction to Turbulent Flows | ||
| Dynamics and Mobility in Vehicles: Modeling and Simulation 2. | ||
| Autonomous Wheel Power Management Systems: Theory and Design | ||
| Heat Conduction | ||
| Radiation Heat Transfer | ||
| Transport Phenomena | ||
| Math Methods in EGR I | ||
| Math Methods in EGR II 2. | ||
| Engineering Statistics 2. | ||
| Computational Methods in EGR 2. | ||
| Intro to Continuum Mechanics 2. | ||
| Advanced Dynamics | ||
| Mechanics of Plates and Shells 2. | ||
| Advanced Finite Element Analysis 2. | ||
| Fluid-Structure Interactions | ||
| Special Topics in ME | ||
| Mechanical and Materials Engineering Seminar | ||
| Mechanical and Materials Engineering Seminar | ||
| Materials Processing | ||
| Frontiers of Automotive Materials | ||
| Nanobiomaterials | ||
| Principles of Metal Casting 2. | ||
| Principles of Metal Casting 2. | ||
| Composite Materials | ||
| Statistics and Quality | ||
| Polymeric Materials | ||
| Polymeric Materials Lab 2. | ||
| Nondestructive Evaluation of Materials | ||
| The Evolution of Engineering Materials | ||
| Composites Manufacturing | ||
| Metals and Alloys | ||
| Metals and Alloys Lab 2. | ||
| Characterization of Materials | ||
| Characterization of Materials Laboratory 2. | ||
| Ceramic Materials | ||
| Ceramic Materials Laboratory 2. | ||
| Metals and Alloys II | ||
| Special Topics in Materials Science & Engineering | ||
| Intro to Thermodynamics and Mechanics of Materials | ||
| Thermodynamics of Materials | ||
| Introduction to Physical Materials | ||
| Introduction to Manufacturing Engineering | ||
| Measurement Systems Analysis | ||
| Process Characterization and Advanced Statistical Analysis | ||
| Advanced Materials, Manufacturing and Applications Development | ||
| Mechanical Behavior of Materials | ||
| Process Quality Engineering | ||
| Physical Metallurgy | ||
| Plasma Processing of Materials | ||
| Thermal Characterization | ||
| Thermal Characterization Lab 2. | ||
| Polymer Structure and Morphology | ||
| Advanced Mechanics of Deformation | ||
| Advanced Mechanics of Composites | ||
| Engineering Fibers | ||
| Degradation of Materials | ||
| Process Modeling/Simulation | ||
| Applied Finite Element Analysis | ||
| Physical Characterization | ||
| Physical Characterization Lab 2. | ||
| Special Topics In (Area) | ||
| Special Topics in (Area) Laboratory 2. | ||
| Intro to Thermodynamics and Mechanics of Materials | ||
| Thermodynamics of Materials | ||
| Introduction to Physical Materials | ||
| Advanced Materials, Manufacturing and Applications Development | ||
| Process Quality Engineering | ||
| Physical Metallurgy | ||
| Plasma Processing of Materials | ||
| Thermal Characterization | ||
| Thermal Characterization Lab 2. | ||
| Polymer Structure and Morphology | ||
| Advanced Mechanics of Deformation | ||
| Advanced Mechanics of Composites | ||
| Engineering Fibers | ||
| Degradation of Materials | ||
| Process Modeling/Simulation | ||
| Applied Finite Element Analysis | ||
| Physical Characterization | ||
| Physical Characterization Lab 2. | ||
| Special Topics in (Area) | ||
| Special Topics in (Area) Laboratory 2. | ||
| Special Topics in Engineering Management | ||
| Individual Study in Engineering Management | ||
| Applied AI for Engineers: Tools, Strategy & Impact | ||
| MBA Elective Options (Choose 3) | 9 | |
| Essential Skills in Financial Reporting & Analysis | ||
| Internal Tools for Investment, Risk, and Profitability | ||
| Business Analytics and AI | ||
| Managing Disruptive Technologies | ||
| Leadership of People & Organizations | ||
| Navigating the Complex Economic Environment | ||
| From Idea to IPO | ||
or MBA 683 | Leading Innovation | |
| Total Hours | 42 | |
- 1.
Additional course and online fees apply.
- 2.
May require prerequisite or corequisite courses.