Executive Director: Jeffrey Starke, Ph.D.
Master's Across Boundaries Certificates Programs webpage
Certificates OFFERED
Environmental Engineering (ENEN), Essential Skills for Practicing Engineers (ESPE), Machine Learning for Engineering Applications (MLRN), Renewable Energy Technology and Integration (RETI), Systems Engineering (SYEN)
PREREQUISITES FOR ADMISSION
A baccalaureate degree in an appropriate area with a minimum grade point average of 3.000 is required. Applicants who do not have an engineering degree must complete prerequisite engineering requirements. The list of prerequisites is completed during the advising process.
Students who do not meet the 3.000 requirement, but have completed one year of engineering work experience, are reviewed and considered by the associate dean of engineering for academic affairs and the executive director of the Masters Across Boundaries program for admission. This is based upon a letter of recommendation by their supervisor to determine the applicant’s ability to complete advanced course work.
APPLICATION REQUIREMENTS
Applicants must submit, directly to the Marquette University Graduate School:
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A completed application form and fee online.
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Copies of all college/university transcripts except Marquette.1
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Application letter, describing the reasons for pursuing an advanced degree and career goals.
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(For students not meeting the GPA requirements) a recommendation letter from a work supervisor (engineer) or a former professor. These letters should directly address the applicant’s suitability for completing graduate-level course work.
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(For international applicants only) a TOEFL score or other acceptable proof of English proficiency.
| 1 | Upon admission, final official transcripts from all previously attended colleges/universities, with certified English translations if original language is not English, must be submitted to the Graduate School within the first five weeks of the term of admission or a hold preventing registration for future terms will be placed on the student’s record. |
Faculty Sponsor: Brooke Mayer, Ph.D.
Environmental Engineering
The certificate in environmental engineering (ENEN) is a 12-credit certificate designed to allow environmental, civil, chemical, industrial, mechanical engineers or other related degree the ability to develop technical depth within their specific area of interest. This flexible program of study allows engineers to focus in specific areas such as water resources, water/wastewater treatment, air pollution control and modeling, or industrial resource and waste management that are commonly performed by environmental engineers. The certificate program allows engineers to expand their depth of knowledge within the environmental engineering subdivision as recognized by the American Society of Civil Engineers (ASCE) and the American Academy of Environmental Engineers (AAEE).
The 12 credits of course work are proposed by a student in consultation with the academic adviser. All certificate programs must meet the requirements in the Graduate School Bulletin, including any course prerequisite requirements. Any deviations from the approved courses in the Graduate School Bulletin or course substitutions must be approved by the certificate faculty sponsor, the CIEN director of graduate studies (DGS) and the chair of the CCEE Department. This certificate is designed for practicing professionals.
| Course Options: | ||
| CEEN 5230 | Urban Hydrology and Stormwater Management | 3 |
| CEEN 5310 | Geographical Information Systems in Engineering and Planning | 3 |
| CEEN 5320 | Engineering Decisions Under Uncertainty | 3 |
| CEEN 5340 | Urban Planning for Civil Engineers | 3 |
| CEEN 5350 | Law for Engineers | 3 |
| CEEN 5505 | Air Quality Engineering | 3 |
| CEEN 5515 | Environmental Chemistry | 3 |
| CEEN 5520 | Industrial Wastewater Management | 3 |
| CEEN 5525 | Treatment Plant Design and Operation | 3 |
| CEEN 5530 | Hazardous and Industrial Waste Management | 3 |
| CEEN 5535 | Environmental Engineering Microbiology | 3 |
| CEEN 5550 | Water Resources Planning and Management | 3 |
| CEEN 5560 | Environmental Fate and Transport | 3 |
| CEEN 5715 | Sustainable Engineering | 3 |
| CEEN 5931 | Topics in Civil Engineering 1 | 1-3 |
| CEEN 6210 | River Engineering | 3 |
| CEEN 6240 | Water Quality Modeling and Management | 3 |
| CEEN 6340 | Advanced Hydrology | 3 |
| CEEN 6350 | Modeling in Water Resources Engineering | 3 |
| CEEN 6510 | Biochemical Transformations in the Environment | 3 |
| CEEN 6520 | Environmental Laboratory 1 - Analyses | 3 |
| or CEEN 6521 | Environmental Laboratory 2 - Processes | |
| CEEN 6530 | Hazardous Waste Remediation Technologies | 3 |
| CEEN 6540 | Physical and Chemical Processes of Environmental Engineering | 3 |
| CEEN 6560 | Fate of Micropollutants | 3 |
| CEEN 6860 | GIS Applications in Water Resources Engineering | 3 |
| CEEN 6865 | Biotechnology - Microbial Communities | 3 |
| CEEN 6932 | Advanced Topics in Civil Engineering 1 | 1-3 |
| GEEN 5810 | Industrial Ecology and Sustainable Design | 3 |
| 1 | Specific topic must be preapproved. |
Faculty Sponsors: Jeffrey Starke, Ph.D. and Kate Trevey, M.Ed.
Essential Skills for Practicing Engineers
This flexible, interdisciplinary graduate certificate is intended to (1) explore and refine individual leadership skills, (2) expand the mindset of engineers to integrate cross-functional perspectives in decision making and (3) enable technical data synthesis and communication skills to create clear and concise deliverables that expedite decisions. The certificate includes curriculum across cross-functional partners including finance, supply chain, legal and communication skills and strategies for engineering leadership. Elective courses allow the students to integrate Marquette University’s Jesuit values in ethical business practice and corporate and social responsibility.
The certificate in essential skills requires a total of 12 credit hours. The 12 credits of course work are proposed by a student in consultation with the program director or academic adviser. All certificate programs meet the requirements in the Graduate School Bulletin, including any course prerequisite requirements. Any deviations from the approved courses in the Graduate School Bulletin or course substitutions must be approved by the Certificate Faculty Sponsor, the executive director of Master’s Across Boundaries program, and the associate dean for academic affairs in the Opus College of Engineering. This certificate is designed for practicing professionals. As such, it is anticipated that only the part-time option is likely to be pursued.
| Required Course: | ||
| GEEN 6700 | Leadership Essentials: The Mindset and Skillset of a Leader | 2 |
| Elective Courses: | 10 | |
Elective Course in College of Communication - choose one, 3- credit course from the following: | ||
| Intergenerational Communication | ||
| Managerial Communication | ||
| Leadership and Communication | ||
| Health, Science and Environmental Communication | ||
| Digital Communication Strategies for Leadership | ||
| Proseminar in Health, Science and Environment | ||
Elective Course in College of Business Administration/Graduate School of Management - choose one, 3-credit course from the following: | ||
| Accounting and Finance for the Non-Financial Manager | ||
| Business Essentials: Accounting, Economics and Finance | ||
| Strategic Management Introduction | ||
| Concepts for Ethical Business Practice | ||
| Corporate Social Responsibility | ||
| Enterprise Risk Management | ||
| Topics in Operations and Supply Chain Management (Supply Chain Strategy and Practice) | ||
Approved SCMM courses from online offerings. | ||
Other courses as approved by the Certificate Faculty Sponsor, the executive director of MAB program and the associate dean for academic affairs in the Opus College of Engineering. | ||
| Other elective course options: | ||
| Visual Analytics | ||
| Copyrights | ||
| Environmental Law | ||
| Intellectual Property Law | ||
| Land Use Planning | ||
| Products Liability | ||
| Water Law | ||
| Seminar: Bioethics and the Law | ||
| Workshop: Energy Law | ||
An additional course not already taken from the above COMM or COBA/GSM course lists. | ||
| Total Credit Hours | 12 | |
Faculty Sponsor: Richard Povinelli, Ph.D.
Machine Learning for Engineering Applications
The graduate certificate in machine learning is intended to develop the capabilities required to apply current tools and approaches to solve complex machine learning problems in a variety of application domains. The certificate offers students the opportunity to achieve a greater technical understanding of the elements of machine learning, which includes algorithms, intelligent systems, neural networks, pattern recognition and deep learning. In addition, students understand the possibilities and limitations of machine learning for a variety of industry applications such as image processing, medical diagnostics, wastewater treatment, cyber defense and machine finishing.
The certificate in machine learning requires four courses for a total of 12 credit hours. The 12 credits of course work are proposed by a student in consultation with the program director or academic adviser. All certificate programs meet the requirements in the Graduate School Bulletin, including any course prerequisite requirements. Any deviations from the approved courses in the Graduate School Bulletin or course substitutions must be approved by the Certificate Faculty Sponsor, the EECE director of graduate studies (DGS), and the chair of the EECE department. This certificate is designed for practicing professionals. As such, it is anticipated that only the part-time option is likely to be pursued.
| Required Course: | ||
| EECE 6822 | Machine Learning | 3 |
| Elective courses - choose three from the following: | 9 | |
| Visual Analytics | ||
| Data Mining | ||
| Ethical and Social Implications of Data | ||
| Advanced Machine Learning | ||
| Data at Scale | ||
| Introduction to Algorithms | ||
| Developments in Computer Software | ||
or COSC 5600 | Fundamentals of Artificial Intelligence | |
| Introduction to Intelligent Systems | ||
| Introduction to Neural Networks and Fuzzy Systems | ||
| Evolutionary Computation | ||
| Algorithm Analysis and Applications | ||
| Artificial Intelligence | ||
| Pattern Recognition | ||
| Neural Networks and Neural Computing | ||
| Advanced Topics in Electrical and Computer Engineering | ||
Other courses as approved by the Certificate Faculty Sponsor, the EECE director of graduate studies (DGS) and the chair of the EECE department. | ||
| Total Credit Hours | 12 | |
Faculty Sponsor: Ayman El-Refaie, Ph.D.
Renewable Energy Technology and Integration
The graduate certificate in renewable energy technology and integration is intended to develop the capabilities required to solve complex energy problems. As energy sources transition to lower carbon emitting technologies, there is a growing need for engineering professionals to manage the transition and drive improvements in efficiency, cost, resource capture (wind, solar), sustainable materials and manufacturing. Investments in renewable energy resources will continue to transition to more clean and secure energy technologies.
For renewable energy integration, a grand challenge identified by the National Renewable Energy Laboratory (NREL) is to design and operate renewable energy plants to provide the required grid resources (frequency control, ramping, voltage regulation). Connecting the renewable energy generation to the end use is essential for innovative controls to optimize energy output and capture. The certificate electives provide the technical rigor to develop engineering solutions to these industry challenges.
The certificate in renewable energy requires four courses for a total of 12 credit hours. The 12 credits of course work are proposed by a student in consultation with the program director or academic adviser. All certificate programs meet the requirements in the Graduate School Bulletin, including any course prerequisite requirements. Any deviations from the approved courses in the Graduate School Bulletin or course substitutions must be approved by the Certificate Faculty Sponsor, the EECE director of graduate studies (DGS) and the chair of the EECE department. This certificate is designed for practicing professionals. As such, it is anticipated that only the part-time option is likely to be pursued.
| Required Courses: | ||
| EECE 5290 | Developments in Energy and Power (Sustainable Energy Conversion) | 3 |
| EECE 6931 | Topics in Electrical and Computer Engineering (Renewable Energy: Policy, Technology, Sustainability) | 3 |
| Elective Courses - choose two from the following: | 6 | |
| Design and Analysis of Electric Motor-Drive Systems | ||
| Power Electronics for Renewable Energy Systems | ||
| Protection and Monitoring of Electric Energy Systems | ||
| Transients in Electric Energy Systems and Devices | ||
| Advanced Topics in Electrical and Computer Engineering (Microgrids) | ||
| Advanced Topics in Electrical and Computer Engineering (Electric Machine Design) | ||
Other courses as approved by the Certificate Faculty Sponsor, the EECE director of graduate studies (DGS) and the chair of the EECE department. | ||
| Total Credit Hours | 12 | |
Faculty Sponsor: Dana Cook, M.S.
Systems Engineering
The graduate certificate in systems engineering is intended to develop the capabilities required to apply current tools and approaches to solve complex systems engineering problems in a variety of application domains. Students are able to apply mathematical and scientific principles to the interdisciplinary engineering design, development and operation of systems that efficiently satisfy stakeholder needs, fulfill the intended operation and have a long and useful operating life. In this integrative and leadership role, systems engineers find success by being able to leverage their technical expertise and experiences while integrating multiple disciplinary perspectives, assessing and managing risks, and inspiring and guiding valuable solutions.
The certificate in systems engineering requires four courses for a total of 12 credit hours. The 12 credits of course work are proposed by a student in consultation with the program director or academic adviser. All certificate programs meet the requirements in the Graduate School Bulletin, including any course prerequisite requirements. Any deviations from the approved courses in the Graduate School Bulletin or course substitutions must be approved by the Certificate Faculty Sponsor and the associate dean for academic affairs in the Opus College of Engineering. This certificate is designed for practicing professionals. As such, it is anticipated that only the part-time option is likely to be pursued.
| Required Courses: | ||
| GEEN 5820 | Systems Engineering Principles and Practice | 3 |
| GEEN 5830 | Engineering Risk Analysis | 3 |
| Elective Courses - Choose two from the following: | 6 | |
| Biomedical Instrumentation Design | ||
| Image Processing for the Biomedical Sciences | ||
| Systems Physiology | ||
| Engineering Decisions Under Uncertainty | ||
| Traffic Characteristics and Design | ||
| Sustainable Engineering | ||
| Computer Security | ||
| Fundamentals of Artificial Intelligence | ||
| Sensor Devices: Theory, Design, and Applications | ||
| Software Testing | ||
| Introduction to Algorithms | ||
| Introduction to Intelligent Systems | ||
| Industrial Ecology and Sustainable Design | ||
| Model-Based Systems Engineering | ||
| Physical Systems Modeling | ||
| Experimental Design | ||
| Human Factors Engineering | ||
Other courses as approved by the Certificate Faculty Sponsor and the associate dean for academic affairs in the Opus College of Engineering. | ||
| Total Credit Hours | 12 | |
Courses
GEEN 5810. Industrial Ecology and Sustainable Design. 3 cr. hrs.
Introduces students to the emerging sustainability challenges and impacts on industry and engineering design. Analyzes corporate frameworks to identify and prioritize sustainability initiatives that add business value. Learn tools to characterize sustainability aspects of design and apply the tools in multi-disciplinary case studies to generate recommendations. Integrates essential communication skills to present case study results to various stakeholders.
GEEN 5820. Systems Engineering Principles and Practice. 3 cr. hrs.
Introduces fundamental systems engineering principles and practices for the development of complex systems throughout the system life cycle: from concept development to engineering development, production, operation and support. Specific topics include needs analysis, concept exploration, concept definition, engineering design, integration and evaluation, production and operation and support. In addition, essential systems engineering methods and tools such as trade-off analysis, risk management, and modeling and simulation are covered.
GEEN 5830. Engineering Risk Analysis. 3 cr. hrs.
Introduces key techniques and tools used to establish system design decisions – amid uncertainty – from a risk analysis perspective. Evaluates a holistic view of sources, consequences and mitigation of risks. Important emergent properties that result from effective system risk analysis, such as safety and resilience, are discussed.
GEEN 5840. Model-Based Systems Engineering. 3 cr. hrs.
Develops experience in the application of model-based systems engineering (MBSE) tools and methodologies to define, analyze and design a complex system. Students will incrementally build and analyze a system model that consists of the following perspectives/levels: operational need, system need, logical architecture and physical architecture. Prereq: GEEN 5830.
GEEN 6700. Leadership Essentials: The Mindset and Skillset of a Leader. 2 cr. hrs.
Develops a foundational experience in leadership by exploring the interconnectedness of understanding oneself with the application of leading with others in the technical professions. Blends the theory and application of a wide range of topics to include foundational theories in leadership; emotional and social intelligence; group norms, behaviors, and effective teams; inclusion, diversity, and difficult conversations; culture and ethics; and future considerations for engineering disciplines. Students apply course topics in simulations, role-playing, case studies, and team problem-solving vignettes.