Program Outcomes

Master of Science in Aerospace Engineering (Non-Thesis)

• Apply analytical and computational methods to solve problems in aerospace 
  engineering.
• Design and/or analyze aerospace systems, subsystems, or processes.
• Demonstrate awareness of contemporary issues and challenges in aerospace 
  engineering.
• Communicate technical information to diverse audiences.
• Function effectively as an individual, under supervision, and as a member of a 
  team.

Master of Science in Aerospace Engineering (Thesis-Track)

• Apply analytical and computational methods to solve problems in aerospace 
  engineering.
• Design and/or analyze aerospace systems, subsystems, or processes.
• Demonstrate awareness of contemporary issues and challenges in aerospace engineering.
• Communicate technical information to diverse audiences.
• Function effectively as an individual, under supervision, and as a member of a team.
• Conduct original research in an aerospace engineering area.

Master of Science in Applied Mathematics

Graduates will be able to:

• Demonstrate mastery of mathematical foundations
• Apply advanced mathematical and computational methods to solve real-world problems
• Communicate mathematical findings effectively

Master of Science in Applied Physics

Graduates will be able to:

• Apply advanced physics concepts within their specialization to solve problems
• Conduct theoretical, computational, or experimental research and interpret results
• Communicate scientific ideas and research findings effectively

Master of Science in Applied Statistics

Graduates will be able to:

• Demonstrate mastery of probability and statistical theory
• Apply statistical methods and computational tools to solve interdisciplinary problems
• Communicate statistical findings effectively in written and oral forms

Master of Architecture (M.Arch.)

• Health, Safety, and Welfare in the Built Environment: Understand the impact of the built environment on human health, safety, and welfare at multiple scales, from buildings to cities.
• Professional Practice: Understand professional ethics, the regulatory requirements, the fundamental business processes relevant to architecture practice in the United States, and the forces influencing change in these subjects.
• Regulatory Context: Understand the fundamental principles of life safety, land use, and current laws and regulations that apply to buildings and sites in the United States, and the evaluative process architects use to comply with those laws and regulations as part of a project.
• Technical Knowledge: Understand the established and emerging systems, technologies, and assemblies of building construction, and the methods and criteria architects use to assess those technologies against the design, economics, and performance objectives of projects.
• Design Synthesis: Develop the ability to make design decisions within architectural projects while demonstrating synthesis of user requirements, regulatory requirements, site conditions, and accessible design, and consideration of the measurable environmental impacts of their design decisions.
• Building Integration: Develop the ability to make design decisions within architectural projects while demonstrating integration of building envelope systems and assemblies, structural systems, environmental control systems, life safety systems, and the measurable outcomes of building performance. 

Master of Science in Artificial Intelligence (Non-Thesis) 

• Proficiency of Advanced Technical Concepts and Methods 

Students will be able to demonstrate advanced graduate-level knowledge and proficiency in artificial intelligence techniques and concepts, including in machine learning, deep learning, natural language processing, robotics, computer vision, and the ethical considerations of artificial intelligence. 

• Applied Mastery of Designing, Implementing, and Evaluating AI Solutions 

Students will be able to apply their knowledge and skills in artificial intelligence to design, implement, deploy and evaluate AI techniques and systems to solve complex real-world problems. 

• Effective Communication Skills in Artificial Intelligence  

Students will be able to effectively communicate complex artificial intelligence concepts, systems, and their ethical implications to both specialist and non-specialist audiences and diverse stakeholders. 

Master of Science in Artificial Intelligence (Thesis-Track) 

• Proficiency of Advanced Technical Concepts and Methods 

Students will be able to demonstrate advanced graduate-level knowledge and proficiency in artificial intelligence techniques and concepts, including in machine learning, deep learning, natural language processing, robotics, computer vision, and the ethical considerations of artificial intelligence. 

• Applied Mastery of Designing, Implementing, and Evaluating AI Solutions 

Students will be able to apply their knowledge and skills in artificial intelligence to design, implement, deploy and evaluate AI techniques and systems to solve complex real-world problems. 

• Effective Communication Skills in Artificial Intelligence  

Students will be able to effectively communicate complex artificial intelligence concepts, systems, and their ethical implications to both specialist and non-specialist audiences and diverse stakeholders. 

• Independent Research Proficiency  

Students will be able to conduct independent research, integrating data science theories and methodologies with innovative original concepts to solve complex data-related problems and contribute original knowledge to the field of data science.

Master of Science in Biochemistry (Non-Thesis)

• Develop deeper knowledge in at least two areas of modern biochemistry
• Add some knowledge in other fields that are related to one’s area of specialization
• Broaden one’s knowledge of experimental techniques and theoretical concepts
• Acquaint oneself with research literature in their field of study

Master of Science in Biochemistry (Thesis-Track)

• Develop deeper knowledge in at least two areas of modern biochemistry
• Add some knowledge in other fields that are related to one’s area of specialization
• Broaden one’s knowledge of experimental techniques and theoretical concepts
• Acquaint oneself with research literature in their field of study
• Conduct independent research under limited supervision within a research group 
• Acquire a broader understanding of research strategies, scientific thinking and data analysis 

Master of Science in Bioinformatics and Computational Biology

• Graduates have an in-depth knowledge of a specialty area of Bioinformatics, Computational Biology, Mathematical Biology, Biostatistics, or closely related area combining quantitative science with biology.
• Graduates have some technical and analytical skills in their specialty area.
• Graduates can find, critically assess, and apply current biological information
• Graduates can understand and use terminology and concepts from the fields of computer science and/or mathematics
• Graduates can communicate effectively with other scholars, including those that lack quantitative training
• Graduates understand and demonstrate professional and ethical behavior
• Graduates either 
  
  • have the ability to make a publishable-quality contribution to or 
  • have the ability to contribute to industry in, an area of Bioinformatics, Computational Biology, Mathematical Biology, or closely related area combining quantitative science with biology.

Master of Science (MS) in Biomedical Engineering

Graduates of the Master of Science in Biomedical Engineering program will be able to:

• Demonstrate broad knowledge of biomedical engineering and specialized knowledge in a thesis or project area
• Apply core biomedical engineering principles and evaluate how specialization advances the field
• Incorporate ethical, regulatory, and societal considerations into project design and evaluation
• Communicate effectively in written and oral forms to scientific audiences
• Apply competencies in mathematics, life sciences, clinical needs analysis, regulation, and design in problem-solving
• Analyze emerging trends and interdisciplinary approaches in biomedical engineering

Master of Engineering (MEng) in Biomedical Engineering

Graduates of the Master of Engineering in Biomedical Engineering program will be able to:

• Demonstrate a broad working knowledge of biomedical engineering
• Apply core biomedical engineering principles across subdisciplines (e.g., biomechanics, biomaterials, bioinstrumentation) to analyze biomedical systems
• Describe ethical, regulatory, and societal considerations in biomedical engineering contexts
• Evaluate and communicate scientific and technical information to scientific audiences
• Apply mathematical and life science principles to solve biomedical engineering problems
• Analyze emerging trends and interdisciplinary approaches in biomedical engineering

Master of Science in Bioscience Management 

• Integrate bioscience and business knowledge.
• Interpret and apply regulatory frameworks and ethical standards for drug development, clinical trials, and product commercialization.
• Demonstrate competence in the analysis of both business and scientific realms to make informed decisions.
• Communicate complex bioscience and management concepts to both technical and non-technical audiences in oral and digital formats.
• Assess the environmental, social, and economic impacts of bioscience innovations for promoting sustainable and responsible practices.

Master of Science in Biotechnology 

• Graduates can integrate broad knowledge of fundamental and applied science in their role as a professional scientist or engineer
• Graduates demonstrate expertise in modern laboratory, bio-production techniques, and best practices applicable to the biotechnology industry
• Graduates demonstrate some specialization in an area of biotech or management development

Master of Business Administration (MBA) 

• Evidence-Based Problem Solving: Graduates are able to create evidence-based sustainable solutions that deliver globally responsible impact.
• Team-based collaboration: Graduates can effectively work with and lead others to create sustainable solutions at the intersection of business, technology, and people.
• Cross-functional Integration: Be able to lead across technical and business disciplines or functions.

Master of Business Administration in Analytics 

• Evidence-Based Problem Solving: Graduates are able to create evidence-based sustainable solutions that deliver globally responsible impact.
• Team-based collaboration: Graduates can effectively work with others to create sustainable solutions at the intersection of business, technology, and people.
• Cross-functional integration: Be able to work successfully across technical and business disciplines

Master of Science in Business Analytics 

• Evidence-Based Problem Solving: Graduates can design evidence-based, sustainable solutions that deliver globally responsible impact.              
• Team-based collaboration: Graduates have the ability to effectively work with others to create sustainable solutions at the intersection of business, technology, and people. 
• Data-driven decision-making: Graduates have the ability to use BA to support data-driven decision-making at the intersection of business, technology, and people.

Master of Science in Chemical Engineering (Non-Thesis)

• Core Chemical Engineering Knowledge. Demonstrate advanced level proficiency in fundamental chemical engineering principles of thermodynamics, transport phenomena, reaction kinetics, and engineering mathematics.
• Broad Chemical Engineering Knowledge. Demonstrate advanced level proficiency in one or more relevant areas of specialization for chemical engineers such as process engineering, modeling and artificial intelligence, biochemical engineering, energy, sustainability, or health.
• Professional Development. Demonstrate the ability to develop one or more professional skills (e.g. communication, ethics, professional identity, and diversity, equity, and inclusion).

Master of Science in Chemical Engineering (Thesis-Track)

• Core Chemical Engineering Knowledge. Demonstrate advanced level proficiency in fundamental chemical engineering principles of thermodynamics, transport phenomena, reaction kinetics, and engineering mathematics.
• Broad Chemical Engineering Knowledge. Demonstrate advanced level proficiency in one or more relevant areas of specialization for chemical engineers such as process engineering, modeling and artificial intelligence, biochemical engineering, energy, sustainability, or health.
• Professional Development. Demonstrate the ability to develop one or more professional skills (e.g. communication, ethics, professional identity, and diversity, equity, and inclusion).
• Project. Complete thesis research that applies experimentation, theory, modeling, or simulation.

Professional Master’s in Chemical Engineering (Professional MS) 

• Core Chemical Engineering Knowledge. Demonstrate advanced level proficiency in fundamental chemical engineering principles of thermodynamics, transport phenomena, reaction kinetics, and engineering mathematics.
• Broad Chemical Engineering Knowledge. Demonstrate advanced level proficiency in one or more relevant areas of specialization for chemical engineers such as process engineering, modeling and artificial intelligence, biochemical engineering, energy, sustainability, or health.
• Professional Development. Demonstrate the ability to develop one or more professional skills (e.g. communication, ethics, professional identity, and diversity, equity, and inclusion).
• Project. Complete a summative Graduate Qualifying Project (GQP) that applies experimentation, theory, modeling, or simulation.

Master of Science in Chemistry (Non-Thesis)

• Develop deeper knowledge in at least two areas of modern chemistry
• Add some knowledge in other fields that are related to one’s area of specialization
• Broaden one’s knowledge of experimental techniques and theoretical concepts
• Acquaint oneself with research literature in their field of study

Master of Science in Chemistry (Thesis-Track)

• Develop deeper knowledge in at least two areas of modern chemistry
• Add some knowledge in other fields that are related to one’s area of specialization
• Broaden one’s knowledge of experimental techniques and theoretical concepts
• Acquaint oneself with research literature in their field of study
• Conduct independent research under limited supervision within a research group (thesis option)
• Acquire a broader understanding of research strategies, scientific thinking and data analysis (thesis option)

Master of Science in Civil Engineering 

• Demonstrate ability to select advanced concepts to solve complex problems in one or more specialty areas of civil engineering, including structural engineering, environmental engineering, engineering and construction, and geotechnical and transportation engineering.
• Demonstrate the ability to analyze problems in Civil Engineering using one or more data analysis or modeling techniques.
• Demonstrate the use of advanced technical knowledge to design a system to meet specified needs, including public health, safety, and welfare.

Master of Science in Computer Science (MS-CS)

Graduates of the Master of Science in Computer Science program will be able to:

• Understand the mathematical foundations of computer science
• Analyze the algorithmic behavior of computational systems
• Demonstrate knowledge of computational systems and networks
• Design, implement, and evaluate computing-based solutions for problems relevant to the discipline
• Recognize professional responsibilities and make informed ethical and legal judgments in computing practice
• Function effectively as a member and leader of a team
• Communicate effectively in a variety of professional contexts
• Demonstrate advanced knowledge in a specialized area of computing
• Understand and contribute to computer science research

Master of Computer Science (MCS)

Graduates of the Master of Computer Science program will be able to:

• Design, implement, and evaluate computing-based solutions to meet specified requirements
• Function effectively as a member and leader of a team
• Communicate effectively in a variety of professional contexts
• Recognize professional responsibilities and make informed ethical and legal judgments in computing practice
• Understand fundamental concepts of database management systems
• Design, analyze, and prove the correctness of algorithms
• Understand human-computer interaction in desktop and mobile systems

Master of Science in Construction Project Management 

• Demonstrate ability to select advanced concepts to solve complex problems in one primary subfield, such as civil engineering, environmental engineering, or architectural engineering.
• Demonstrate the ability to apply advanced project management tools to the management of complex construction projects.
• Demonstrate and apply knowledge of professional practice in construction.

Master of Science in Cybersecurity (MS-SEC)

Graduates of the Master of Science in Cybersecurity program will be able to:

• Analyze complex cybersecurity problems and develop effective solutions
• Incorporate human, usability, and social factors into cybersecurity systems
• Design, implement, and evaluate cybersecurity systems and strategies
• Function effectively as team members and leaders in cybersecurity projects
• Conduct cybersecurity research through thesis work
• Demonstrate knowledge of computing areas relevant to cybersecurity

Master of Science in Data Science (Non-Thesis)

• Mastery of Advanced Analytical Tools and Methods. Students will be able to demonstrate in-depth, graduate-level knowledge and proficiency in state-of-the-art data analytics tools and methods, including statistical modeling, data mining, machine learning, data management, computational thinking, and data visualization.
• Interdisciplinary Application of Data Science Skills. Students will be able to apply their integrative, interdisciplinary knowledge and advanced skills in the core disciplines central to Data Science, including Computing, Statistics, and Business, to collaboratively in teams develop innovative solutions to real-world data problems.
• Effective Communication of Data-Driven Insights. Students will be able to effectively communicate analytical findings and their implications to both specialist and non-specialist audiences and diverse stakeholders.

Master of Science in Data Science (Thesis-Track)

• Mastery of Advanced Analytical Tools and Methods. Students will be able to demonstrate in-depth, graduate-level knowledge and proficiency in state-of-the-art data analytics tools and methods, including statistical modeling, data mining, machine learning, data management, computational thinking, and data visualization.
• Interdisciplinary Application of Data Science Skills. Students will be able to apply their integrative, interdisciplinary knowledge and advanced skills in the core disciplines central to Data Science, including Computing, Statistics, and Business, to collaboratively in teams develop innovative solutions to real-world data problems.
• Effective Communication of Data-Driven Insights. Students will be able to effectively communicate analytical findings and their implications to both specialist and non-specialist audiences and diverse stakeholders.
• Independent Research Proficiency. Students will be able to conduct independent research, integrating data science theories and methodologies with innovative original concepts to solve complex data-related problems and contribute original knowledge to the field of data science.

Master of Science in Electrical and Computer Engineering 

• Demonstrate advanced knowledge in one or more areas of electrical and computer engineering including, but not limited to, signal processing, communications, cybersecurity, machine learning, microelectronics, and power systems. 
• Demonstrate the ability to apply electrical and computer engineering tools, analytic and design skills to solve engineering problems. 
• Communicate technical information effectively in written or oral form.

Master of Science in Environmental Engineering 

• Demonstrate ability to select advanced concepts to solve complex problems in one or more areas of environmental engineering, including fate and transport of pollutants, water and wastewater treatment, solid and hazardous waste, and/or other areas relevant to environmental engineering.
• Demonstrate the ability to analyze problems in environmental engineering using one or more data analysis or modeling techniques.
• Demonstrate the use of advanced technical knowledge to design a system to meet specified needs, including public health, safety, and welfare.

Master of Science in Explosion Protection Engineering 

• When you graduate from our comprehensive, interdisciplinary program, you’ll be armed with the robust skillset to advance the science and practice of explosion protection systems and innovate risk mitigation strategies across a broad spectrum of applications 

Master of Science in Financial Technology 

• Evidence-Based Problem Solving: Graduates can design evidence-based, FinTech solutions that deliver globally responsible impact.
• Team-based collaboration: Graduates have the ability to effectively work in interdisciplinary teams to identify, design and develop FinTech solutions at the intersection of finance, technology, and people.
• Ability to integrate technology tools in finance decision-making: Graduates have the ability to use FinTech tools such as AI, ML and Blockchain technologies to support the disruption of legacy financial practices in technology-driven financial decision-making at the intersection of finance, technology, and people.
• Understand the role of financial analytics in improving org performance: Graduates recognize how organizational performance can be managed and improved through the intersection of business, analytics, and people.

Master of Science in Fire Protection Engineering  

• Identify, formulate, and solve complex problems related to fire and life safety by applying principles of engineering, science, and mathematics along with concepts of risk and an understanding of human-behavior/decision-making.
• Apply engineering analysis and design to produce solutions that provide life-safety, property protection, business continuity, and mitigation of environmental impact, globally, with consideration of cultural, social, and economic factors.
• Communicate effectively in both oral and written formats with a range of audiences including building owners, code-officials, fire-service professionals, and the public. Ability to communicate with affected stakeholders in the event of a fire.
• Function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, meet objectives, state applicable assumptions, and document recommendations and conclusions.

Concentration 1: Analytics and Modeling in Health and Disease

• Understand key challenges in global health that would benefit from data analytics, modeling and other new techniques in machine learning and AI. 
• Interpret results of data analysis for health research, policy or practice. 
• Understand key global health policies surrounding data privacy, transferability, and accessibility. 
• Analyze quantitative and qualitative data using biostatistics and computational methods and tools, as appropriate. 
• Select quantitative and qualitative data collection methods appropriate for a given global health context.

Concentration 2: Engineering solutions for Global Health

• Understand key challenges in global health that require better engineering solutions. 
• Develop tools for health care and medical device integration in diverse settings and global contexts. 
• Develop new devices and equipment for improving health care in remote or developing regions of the world. 
• Develop skills, knowledge, and mindset necessary to collaborate with community partners to address engineering solutions for global health challenges. 
• Understand the interaction of technology, society, and environment in the innovation process.

Concentration 3: Global Health Management and Assessment

• Understand key challenges in global health that require better management and assessment of complex systems. 
• Knowledge of the basic principles and tools of management across diverse cultural domains. 
• Develop a team approach to managing large projects whether in a non-profit environment, government or industry setting in global or rural environments. 
• Gain skills in managing complexity, risk, and dynamic systems in relation to global health. 
• Develop skills to manage people and programs in teams as well as through cooperative agreements. 

Concentration 4: Mobile Applications for Global Health

• Understand key challenges in global health that would benefit from mobile applications and from approaches to interactive and serious gaming. 
• Identify the human factors involved in software app design process. 
• Create solutions based on an iterative process that incorporates human factors and user-centered design processes as it relates to specific global environment. 
• Develop safe and effective mobile apps for use in global health care delivery and disease prevention.  
• Ability to apply human factors design principles to global health care app and game development to help in the delivery of effective technologies tailored to the end-user’s environment.

Master of Science in Industrial Mathematics

Graduates will be able to:

• Demonstrate mastery of mathematical foundations
• Apply advanced mathematical and computational methods to solve real-world problems
• Communicate mathematical findings effectively
• Demonstrate industry-relevant skills and professional practices

Master of Science in Information Technology 

• Evidence-Based Problem Solving: Graduates can design evidence-based, sustainable IT solutions that deliver globally responsible impact.              
• Team-based collaboration: Graduates have the ability to effectively work with others to create sustainable solutions at the intersection of business, technology, and people. 

Master of Science in Integrated STEM Education 

STEM Education Knowledge

• Participants will synthesize research findings related to STEM education and the science of teaching & learning, to justify pedagogical best practices in STEM education.

Pedagogical Skills & Best Practices 

• Participants will implement STEM pedagogical best practices in their educational settings.  
• Participants will iteratively design high-quality STEM learning experiences for their students.

Teaching Diverse Learners 

• Participants will evaluate STEM instructional practices for alignment with inclusive and culturally responsive teaching standards.
• Participants will design and test pedagogical practices, enabling diverse learners to demonstrate mastery in their STEM classrooms.  

STEM Content Knowledge 

• Participants will demonstrate advanced disciplinary content knowledge aligned with state and national STEM frameworks. 

Culminating STEM Project 

• Participants will independently design and conduct a research study, applying appropriate methodologies to analyze data and communicate evidence-based recommendations.

Master of Fine Arts in Interactive Media & Game Design  

• Locate yourself within various intellectual debates and professional communities related to interactive media and games.
• Develop an interdisciplinary perspective/voice for producing high-quality, creative and/or technical projects or scholarship.
• Cultivate depth of knowledge and advanced skills in a student-chosen aspect of interactive media and game development.
• Produce high-quality work for public presentation in scholarly and/or non-academic venues, either independently or in collaboration with colleagues.
• Create a portfolio in response to the demands of varied and distinct professional contexts.
• Foster and circulate research-based creative and/or technical work beyond the academy in ways that benefit general audiences.

Master of Science in Interactive Media & Game Development

• Locate yourself within various intellectual debates and professional communities related to interactive media and games.
• Develop an interdisciplinary perspective/voice for producing high-quality, creative and/or technical projects or scholarship.
• Cultivate depth of knowledge and advanced skills in a student-chosen aspect of interactive media and game development.
• Produce high-quality work for public presentation in scholarly and/or non-academic venues, either independently or in collaboration with colleagues.
• Create a portfolio in response to the demands of varied and distinct professional contexts.
• Foster and circulate research-based creative and/or technical work beyond the academy in ways that benefit general audiences.

Masters (Coursework Track) in Learning Sciences & Technology

Graduates will be able to:

• Demonstrate proficiency in quantitative methods, computer science, and psychological science as related to learning and learning science research.
• Show understanding of advanced theories of learning science and how they are used to conduct research in educational settings.
• Evaluate original empirical research and understand the limitations of different methodologies.

Masters (Thesis Track) in Learning Sciences & Technology

Graduates will be able to:

• Demonstrate proficiency in quantitative methods, computer science, and psychological science as related to learning and learning science research.
• Show understanding of advanced theories of learning science and how they are used to conduct research in educational settings.
• Evaluate original empirical research and understand the limitations of different methodologies.
• Conduct independent research, write a publishable paper, and present their findings to an audience.

Master of Science in Management 

• Evidence-Based Problem Solving: Graduates are able to create evidence-based sustainable solutions that deliver globally responsible impact.
• Team-based collaboration: Graduates can effectively work with others to create sustainable solutions at the intersection of business, technology, and people.
• Cross-functional integration: Be able to work successfully across technical and business disciplines

Master of Science in Manufacturing Engineering

Graduates of the Master of Science in Manufacturing Engineering program will be able to:

• Demonstrate proficiency in core areas of manufacturing engineering, including control systems, materials processing, and manufacturing systems
• Apply analytical, computational, and/or experimental tools to solve manufacturing problems
• Communicate technical information effectively in written and oral forms

Master of Science in Manufacturing Engineering Management

Graduates of the Master of Science in Manufacturing Engineering Management program will be able to:

• Demonstrate proficiency in core areas of manufacturing engineering and operations management, including manufacturing processes, technologies, and operations management
• Apply analytical, computational, and/or managerial tools to solve manufacturing and operations problems
• Communicate technical and managerial information effectively in written and oral forms

Master of Science in Materials Science and Engineering

Graduates of the Master of Science in Materials Science and Engineering program will be able to:

• Demonstrate proficiency in core areas of materials science and engineering, including structure–property relationships, thermodynamics, and mechanical behavior
• Apply analytical, computational, and/or experimental methods to solve materials-related problems
• Communicate technical information effectively in written and oral forms

Master of Mathematics for Educators

Graduates will be able to:

• Demonstrate advanced understanding of mathematical concepts
• Apply a range of solution techniques to mathematical problems
• Communicate mathematical findings effectively

Mathematics for Educators Certificate

Graduates will be able to:

• Demonstrate advanced understanding of mathematical concepts
• Communicate mathematical findings effectively

Master of Science in Mechanical Engineering (Non-Thesis)

Graduates of the Master of Science in Mechanical Engineering (Non-Thesis) program will be able to:

• Apply fundamental concepts to formulate, analyze, and solve problems in core areas such as thermal-fluids, structures, materials, dynamics, controls, design, and manufacturing
• Function effectively as a member of a team
• Communicate engineering concepts clearly in written and oral forms
• Demonstrate professional and ethical responsibility, including understanding the societal and environmental impacts of engineering solutions

Master of Science in Mechanical Engineering (Thesis-Based)

Graduates of the Master of Science in Mechanical Engineering (Thesis-Based) program will be able to:

• Apply fundamental concepts to formulate, analyze, and solve problems in core areas such as thermal-fluids, structures, materials, dynamics, controls, design, and manufacturing
• Function effectively as a member of a team
• Communicate engineering concepts clearly in written and oral forms
• Demonstrate professional and ethical responsibility, including understanding the societal and environmental impacts of engineering solutions
• Conduct systematic research in the field of mechanical engineering

Master of Science in Molecular and Cellular Biology 

• Graduates have breadth of knowledge of a specialty area of fundamental or applied biology and are able to find, critically assess, and apply current biological information
• Graduates gain technical and analytical skills in their specialty area to support employment
• Graduates can generate original hypotheses, design experiments to test them, interpret the data to reach valid conclusions, understand how their results fit into the wider field of their specialty, and defend their research plan.
• Graduates can communicate effectively with other scholars
• Graduates understand and demonstrate professional and ethical behavior.

Master of Science in Neuroscience 

• Master core neuroscience concepts

• Integrate interdisciplinary approaches
• Design and conduct research
• Use advanced computational tools
• Communicate effectively
• Foster collaborative and ethical practices
• Critically analyze scientific literature

Master of Science in Operations and Supply Chain Analytics 

• Evidence-Based Problem Solving: Graduates are able to create evidence-based sustainable solutions that deliver globally responsible impact.
• Team-based collaboration: Graduates can effectively work with others to create sustainable solutions at the intersection of business, technology, and people.
• Operations and Supply Chain Excellence: Upon program completion, students will be knowledgeable of operations and supply chain professionals. 

Master of Science in Physics

Graduates will be able to:

• Apply advanced physics concepts to analyze and solve theoretical problems
• Conduct theoretical, computational, or experimental research and interpret results
• Communicate scientific ideas and research findings effectively in written and oral formats

Master of Engineering in Power Systems Engineering 

• Demonstrate advanced knowledge in power systems engineering.
• Demonstrate the ability to apply tools, analytical, and design skills to solve power systems engineering problems.
• Communicate technical information effectively in written or oral form.

Master of Science in Robotics Engineering (Non-Thesis) 

• Analyze and design advanced robotics systems by applying principles of mathematics, science, and engineering.
• Communicate technical solutions and project outcomes effectively to a range of audiences in written and oral formats.
• Assess how external factors, such as ethical, social, or entrepreneurial considerations, affect robot design or applications.

Master of Science in Robotics Engineering (Thesis-Track) 

• Analyze and design advanced robotics systems by applying principles of mathematics, science, and engineering.
• Communicate technical solutions and project outcomes effectively to a range of audiences in written and oral formats.
• Assess how external factors, such as ethical, social, or entrepreneurial considerations, affect robot design or applications.
• Conceive, formulate, and execute original research in robotics. (thesis option)

Master of Science in Science and Technology for Innovation in Global Development 

Core Knowledge and Understanding

• Apply advanced knowledge of a science–technology–innovation (STI) system. 

Analytical and Research Skills 

• Evaluate theories and models of development, technological change, and innovation. 
• Design and conduct empirical research on STI-related issues using qualitative, quantitative, or mixed methods approaches. 

Leadership and Professional Skills 

• Apply STI concepts effectively to diverse audiences (scientists, policymakers, investors, communities). 
• Demonstrate leadership, collaboration, and project management in multidisciplinary teams. 
• Engage with diverse stakeholders to co-create solutions to real-world challenges. 

Ethics, Equity, and Sustainability 

• Integrate ethical reasoning into STI decision-making processes. 

Apply responsible, inclusive, and sustainable innovation practices. 

Master of Science in Systems Engineering 

• Students demonstrate advanced knowledge in one or more areas of systems engineering including, but not limited to: stakeholder analysis, system requirements, systems architecture, systems analysis, independent verification and validation (IV&V), and system integration.
• Students demonstrate the ability to apply systems engineering concepts and tools to a comprehensive case.

Master of Science in Systems Engineering Leadership 

• Students demonstrate advanced knowledge in one or more areas of systems engineering leadership including, but not limited to: stakeholder analysis, system requirements management, systems analysis, systems engineering leadership, and system integration.
• Students demonstrate the ability to apply systems engineering leadership concepts and tools to a comprehensive case.