Schaefer School of Engineering & Science Online Programs

With seven master's degree programs available entirely online, the School of Engineering & Science prepares the next generation of technology leaders by offering a multi-disciplinary, design-based education.

Online Programs Rank High in USNWR in 2021

School of Engineering Master's Degrees

Stevens is traversing new frontiers in artificial intelligence by offering one of the first graduate programs in the country to explore AI applications for electrical and computer engineering.

In the artificial intelligence for electrical and computer engineering masters program, students are immersed in a hands-on approach to learning within a mix of course offerings, from fundamental core courses to state-of-the art topics such as Internet of things (IoT), software defined radios, smart grids, security, and big data applications. They also have access to state-of-the-art research facilities including the Embedded Systems and Robotics Laboratory.

Masters students in the artificial intelligence for electrical and computer engineering program have the opportunity to work on exciting new projects and applications relating to:

Machine learning
Deep learning
Computer vision
Robotics
Communications
Embedded systems
Security
Computer and information networks

As one of the country's premiere institutions for computer engineering, signal processing and emerging communications standards, Stevens offers graduate students exposure to a broad-based, interdisciplinary curriculum. Located across the Hudson River from New York City, Stevens’ location is ideal for students who want to network with tech companies that are developing groundbreaking new technologies and looking to recruit top level talent.

Core Courses:

Required Courses Available Online for Master's in Applied Artificial Intelligence
Course #	Course Name
CPE 695	Applied Machine Learning
CPE 646	Pattern Recognition and Classification
EE 627	Data Acquisition and Processing I (Big Data)
EE 628	Data Acquisition and Processing II (Deep Learning)
EE 672	Applied Game Theory and Evolutionary Algorithms
EE 608	Applied Modeling and Optimization

Concentration Courses for Master's in Applied Artificial Intelligence:

Electrical Engineering Concentration Courses Available Online (Select three)
Course #	Course Name
EE 548	Digital Signal Processing
EE 575	Introduction to Control Theory
EE 582	Wireless Networking: Architecture, Protocols and Standards
EE 603	Linear Systems Theory
EE 609	Communication Theory
EE 608	Applied Modeling and Optimization

Computer Engineering Concentration Courses Available Online (Select three)
Course #	Course Name
CPE 517	Digital and Computer Systems Architecture
CPE 555	Real-Time and Embedded Systems
CPE 593	Applied Data Structures and Algorithms
CPE 679	Computer and Information Networks
CPE 690	Introduction to VLSI Design
EE 608	Applied Modeling and Optimization

Data Engineering Concentration Courses Available Online (Select three)
Course #	Course Name
CPE 593	Applied Data Structures and Algorithms
EE 627	Data Acquisition and Processing I (Big Data)
EE 628	Data Acquisition and Processing II (Deep Learning)
EE 551	Engineering Programming: Python

Software Engineering Concentration Courses Available Online (Select three)
Course #	Course Name
CPE 593	Applied Data Structures and Algorithms
EE 627	Data Acquisition and Processing II (Deep Learning)
EE 553	Engineering Programming: C++
EE 552	Engineering Programming: Java
EE 551	Engineering Programming: Python

Biomedical Engineering Concentration Courses Available Online (Select three)
Course #	Course Name
BME 810	Biomedical Digital Signal Processing
BME 558	Introduction to Brain Computer Interface
BME 504 / CPE 585	Medical Instrumentation and Imaging

Systems Biology Concentration Courses Available Online (Select three)
Course #	Course Name
BIO 687	Molecular Genetics
CH 580	Biochemistry I
BIO 668	Computation Biology

Mechanical Engineering Concentration Courses Available Online (Select three)
Course #	Course Name
ME 598	Introduction to Robotics
ME 621	Introduction to Modern Control
ME 644	Computer-Integrated Design and Manufacturing

Artificial Intelligence in Design and Construction Concentration Courses Available Online (Select three)
Course #	Course Name
OE 511	Urban Oceanography
CM 521	Construction Organizations
CM 530	Strategic Responses to Cyclical Environments
CM 560	Sustainable Design

Program Director: Dr. Min Song

LEARN MORE ABOUT APPLIED ARTIFICIAL INTELLIGENCE

Computer engineering integrates principles and practices from electrical engineering, computer science, and other engineering/science fields to create complex systems combining hardware, software, and sophisticated algorithms. Applications include such diverse areas as video games, visual environments, networked system environments, computer-aided design tools, advanced computation systems, medical information systems, autonomous systems, design of complex digital systems including VLSI systems, development of bio-inspired algorithms for advanced systems, and many others. The Masters in Computer Engineering provides you with the foundation knowledge to participate in these exciting fields along with areas of specialization to provide depth in major computer engineering themes.

Core Courses

Core courses available online for Master's in Computer Engineering
Course #	Course Name
EE 602	Analytical Methods in Electrical Engineering
EE 548	Digital Signal Processing
EE 603	Linear Systems Theory

Communications and Signal Processing Concentration (select 3)

Communications and Signal Processing Concentration (select 3) courses available online
Course #	Course Name
EE 510	Introduction to Radar Systems
CPE 536	Integrated Services - Multimedia
EE 548	Digital Signal Processing
EE 568	Software-Defined Radio
EE 583	Wireless Systems Overview
EE 584	Wireless Systems Security
EE 585	Physical Design of Wireless Systems
EE 582	Wireless Networking: Architecture, Protocols, & Standards
CPE 591	Intro to Multimedia Networking
CPE 592	Computer & Multimedia Network Security
EE 612	Principles of Multimedia Compression
EE 613	Digital Signal Processing for Communications
EE 616	Signal Detection & Estimation for Communications
CPE 645	Image Processing & Computer Vision
CPE 646	Pattern Recognition & Classification
EE 651	Spread Spectrum & CDMA
EE 653	Cross-Layer Design for Wireless Networks
EE 664	Advanced Digital Signal Processing
EE 672	Game Theory for Wireless Networks

Networks and Security Concentration (select three)

Networks and Security Concentration (select three) courses available online
Course#	Course Name
EE 584	Wireless Systems Security
EE 582	Wireless Networking: Architecture, Protocols & Standards
CPE 591	Intro to Multimedia Networking
CPE 592	Computer & Multimedia Network Security
CPE 604	Analytical Methods for Networks
CPE 654	Design & Analysis of Network Systems
CPE 691	Information Systems Security

Program Director: Dr. Min Song

LEARN MORE ABOUT COMPUTER ENIGNEERING

The Master of Science in Construction Engineering and Management will develop technical, managerial and leadership expertise through advanced areas of study and initiatives including experiential learning and engagement with industry.

By the end of this program, students will be able to:

Demonstrate advanced knowledge in planning and executing a built environment project, specifically consistent use of integrative thinking; project management utilizing advanced cost, time, quality and safety controls; basic concepts in construction engineering and management, business, public policy, and leadership; and analyze potential project risks.
Demonstrate quantitative and qualitative skills used in conducting research in the construction engineering and management field, specifically the use of data gathering methods and the use of data analysis techniques.
Produce high quality written and oral communications.
Know and participate in the intellectual and organizational aspects of the profession as applicable to the built environment industry, including ethical conduct

Core

Core courses available online for Master's in Construction Engineering and Management
Course #	Course Name
CM 512	Construction Methods and Equipment
CM 592	Advanced Project Controls in the Built Environment
CM 605	Construction Safety Management

Electives

Choose three of the following electives
Course #	Course Name
CE 541	Project Management
CE 649	Earth Supporting Structures
CM 531	Construction Materials
CM 581	Temporary Structures in Heavy Construction
CM 529	Construction Project Scheduling

Please note: electives can be chosen from all CM and/or CE graduate-level courses with permission from your faculty advisor.

Program Director: Khondokar Billah

LEARN MORE ABOUT CONSTRUCTION ENGINEERING AND MANAGEMENT

Electrical engineers have the monumental task of designing, building and developing the next-generation of electronic devices and protocols to enhance all facets of society.

Graduate study in electrical engineering can lead to fascinating and lucrative careers in industry, government or business, as well as further study in a doctoral program. New developments in robotics, internet security and wireless networking are often the result of hardworking electrical engineers.

At Stevens, graduates studying electrical engineering can pursue a Master of Engineering or a Master of Science degree. Graduate students participate in cutting edge faculty research projects funded by the National Science Foundation, Air Force Research Laboratory, National Institute for Justice, and various private organizations. Students seeking a master of engineering (ME) or master of science (MS) in electrical engineering are required to complete:

One (1) mathematical foundation course
Two (2) core courses in their majors/programs
Three (3) concentration courses in a chosen concentration
Two (2) skill courses: A student in an MS program is required to take two (2) analytical skill courses, a student in an ME program is required to take two (2) software/hardware skill courses
Two (2) additional courses Electives (2 courses), or Project (3 credits) plus 1 elective course, or Thesis (6 credits)
(Optional) Graduate Co-op Program (Internship

1. Mathematical Foundation Courses (Select One)
Course #	Course Name
EE 602	Analytical Methods in Electrical Engineering
CPE 602	Applied Discrete Mathematics
EE 605	Probability and Stochastic Processes I
EE 609	Applied Modeling & Optimization

2. EE Courses (Select Two)
Course #	Course Name
EE 548	Digital Signal Processing
EE 575	Introduction to Control Theory
EE 603	Linear Systems Theory
EE 609	Communication Theory

3. For a full list of available concentrations and concentration courses for the electrical engineering program, please click here.

4. Analytical Skill Courses for M.S.
Course #	Course Name
EE 602	Analytical Methods in Electrical Engineering
NIS 604	Analytical Methods for Networks
EE 608	Applied Modeling and Optimization
EE 627	Data Acquisition, Modeling and Analysis
CPE 646	Pattern Recognition and Classification
EE 672	Game Theory for Wireless Networks
CPE 695	Applied Machine Learning

4. Software/Hardware Skill Courses for M.E.
Course #	Course Name
CPE 517	Digital and Computer Systems Architecture
CPE 545	Communication Software and Middleware
CPE 555	Real-Time and Embedded Systems
CPE 556	Computing Principles for Embedded Systems
CPE 593	Applied Data Structures & Algorithms
CPE 690	Introduction to VLSI Design
EE/CPE810/5xx	Software Systems and Prototyping I
EE/CPE810/5xx	Software Systems and Prototyping II
EE810/5xx	Engineering Programming C++
EE810/5xx	Engineering Programming: Java
EE810/5xx	Engineering Programming: Python

5. Project Courses
Course #	Course Name
EE 800	Special Problems in Electrical Engineering
CPE 800	Special Problems in Computer Engineering
NIS 800	Special Problems in Networked Information Systems

5. List of Thesis Courses/Work (for two semester for total of 6 credits)
Course #	Course Name
EE 900	Thesis in Electrical Engineering
CPE 900	Thesis in Computer Engineering
NIS 900	Thesis in Networked Information Systems

Program Director: Dr. Min Song

LEARN MORE ABOUT ELECTRICAL ENGINEERING

The machine learning master’s degree program at Stevens consists of five core courses including Artificial Intelligence, deep learning and natural language processing, and an interdisciplinary list of electives. Courses focus on both theoretical analysis and implementation of a wide range of topics in machine learning. Students can optionally work on a thesis with one of the program's faculty members.

By the end of this program, students will be able to:

Understand the theory underlying machine learning algorithms
Use machine learning to make decisions and predictions
Select appropriate statistical and predictive methodologies
Build statistical learning models and understand their strengths and limitations
Provide appropriate interpretation of classification or regression results

Curriculum - Mandatory Foundational Courses for Master's in Machine Learning
Course #	Course Name
CS 559	Machine Learning: Fundamental and Applications
CS 541	Artificial Intelligence
CS 583	Deep Learning
CS 584	Natural Language Processing
CS 560	Statistical Machine Learning

Primary Elective Courses

Primary Elective Courses for Master's in Machine Learning
Course #	Course Name
CS 513	Knowledge Discovery and Data Mining
CS 532	3D Computer Vision
CS 544	Health Informatics
CS 545	Human Computer Interaction
CS 558	Computer Vision
CS 582	Casual Inference
CS 598	Visual Information Retrieval
CS 609	Data Management and Exploration on the Web
BIA 654	Experimental Design
BIA 660	Web Analytics
BIA 678	Big Data Technologies
CPE 608	Applied Modeling and Optimization
CPE 695	Applied Machine Learning
FE 541	Applied Statistics and Applications in Finance
MA 541	Statistical Methods
MA 630	Advanced Optimization Methods
MA 641	Time Series Analysis
MA 661	Dynamic Programming and Learning
CS 800	Special Problems in Computer Science
CS 900	MS Thesis in Computer Science

Program Director: Eduardo Bonelli

LEARN MORE ABOUT MACHINE LEARNING

The master of science in pharmaceutical manufacturing program is a 30 credit degree program designed for recent engineering, science, or pharmacy graduates seeking entry credentials into the manufacturing industries driven by Good Manufacturing Practices (GMP), including pharmaceutical, biotechnology, cosmetics, and personal care product manufacturers. It also attracts engineers, scientists, and other specialists who are already working in GMP-regulated manufacturing industries and who are interested in becoming transformational leaders in their organizations. The program concentrates primarily on areas related to commercial manufacturing, including GMP, manufacturing technologies, facilities design, validation, compliance, and quality assurance.

Graduates gain the skills necessary for solving challenging problems, using emerging pharmaceutical technologies effectively to reach business goals and leading innovation across organizations. The courses are taught by a mix of full-time and part-time faculty with distinguished professional records in the pharmaceutical industry. The online program offers a unique blend of small class sizes, intense collaboration and professional networking opportunities. Graduates will develop and practice communication, interpersonal and team collaboration skills, which will enable them to function effectively in regulated manufacturing environments. Major pharmaceutical companies rely on the Stevens curriculum to empower their engineers and scientists to raise productivity, improve process efficiency, reduce costs, and maintain compliance and improve quality.

Curriculum - Mandatory Foundational Courses

Curriculum - Mandatory Foundational Courses for Master's in Pharmaceutical Manufacturing
Course #	Course Name
PME 530	Introduction to Pharmaceutical Manufacturing
PME 535	Good Manufacturing Practices in Pharma Facilities Design
PME 540	Validation in Pharmaceutical Manufacturing
PME 560	Quality in Pharmaceutical Manufacturing
PME 602	Statistical Methods in Pharmaceutical Manufacturing

Primary Elective Courses

Primary Elective Courses for Master's in Pharmaceutical Manufacturing
Course #	Course Name
PME 541	Validation of Computerized Systems
PME 542	Global Regulation & Compliance in the Pharma Industry
PME 626	Manufacturing of Biopharmaceutical Products
PME 628	Manufacturing & Packaging of Pharma Oral Solid Dosage Products
PME 629	Manufacturing of Sterile Pharmaceuticals

Admission Requirements

4-year undergraduate degree in engineering, science, or pharmacy
Official college transcripts
Competitive GRE scores
Competitive TOEFL / IELTS scores (for international students whose native language is not English)
Two letters of recommendation

Program Director: Elaine Pratt

LEARN MORE ABOUT PHARMACEUTICAL MANUFACTURING

The robotics master’s program at Stevens, offered by the Department of Mechanical Engineering, gives students an edge in a competitive and multidisciplinary profession where a mastery of modeling, design, research, and implementation skills is just as important as the next big idea.

This distinctive master’s degree program exposes students to both the mathematical foundations of robotics, and relevant hands-on laboratory projects in robotics and mechatronics. The robotics master's degree program integrates the study of fundamentals in robot modeling, analysis, design, and control with modern and advanced applications of robotics technology to meet today’s specialized needs within the industry. The curriculum is designed to ensure that graduating students are well-prepared for a future that will increasingly demand multidisciplinary training for engineers, especially for careers involving robotics, automation, and autonomous and intelligent systems.

Robotics graduates will be prepared to solve complex engineering problems, position emerging technologies, lead the development of high-quality products, manage projects and maintain exacting standards in a fast-evolving economy.

Core Courses

Primary Core Courses for Master's in Robotics
Course #	Course Name
ME 598	Introduction to Robotics
ME 621	Introduction to Modern Control Engineering
ME 654	Advanced Robotics
ME 522	Mechatronics
ME 551	Microprocessor Applications in Mechanical Engineering
ME 656	Autonomous Navigation for Mobile Robots
ME 655	Wearable Robots and Sensors
ME 641	Engineering Analysis I

Program Director: Brendan Englot

LEARN MORE ABOUT ROBOTICS

About Our Graduate Certificates

Stevens offers numerous graduate certificate programs online. Each of these programs is a self-contained and highly-focused series of instructor-led classes designed to provide you with a foundation of strategic knowledge and practical skills to enhance your career. Taught by our award-winning faculty, you will benefit from their academic and industry experiences. In your courses you will learn current theory and applications, providing you the opportunity to apply course concepts in your everyday business objectives. Most graduate certificate programs consist of 4 courses.

While pursuing a graduate certificate, you may apply to enter a Stevens master’s degree or MBA program. All of the credits earned for your graduate certificate may be applied towards the corresponding master’s degree or MBA.

School of Engineering Graduate Certificates

This four course, certificate is designed for the executive leading Construction Management, Construction Engineering and Architectural firms desiring advanced, up-to-date knowledge about Construction Management in the 21st Century.

COURSE #	COURSE NAME
CM 560	Sustainable Design and Construction
CM 530	Strategic Responses to Cyclical Environments
CM 550	Construction Contract Law
CM Elective	Any technical elective from the list below

Electives:

1. CM 520 Advanced Project Controls in the Build Environment

2. CM 506 Computer Applications in the Construction Process

3. CM 605 Construction Safety Management

4. CM 545 Environmental Impact Analysis and Planning

5. CM 810 Special Topics in Construction Management

Program Director: Khondokar Billah

The application of machine learning continues to grow rapidly in a variety of industrial settings. In pharmaceutical development in particular, Machine Learning methodologies have been adopted to accelerate process optimization and material characterization, a trend that is anticipated to rise with the increased rate of data digitization.The goal of the program is to develop the skill set necessary to evaluate and apply the growing portfolio of algorithms from the open source ecosystem and deploy them in the appropriate context.In addition to covering a multitude of Machine Learning algorithms (generalized linear regression, non-linear regression, regularization methods, random-forest, neural networks, Markov processes, etc.), the program will emphasize the generation of contextualized visualization tools to adequately present results to a wider non-expert audience as well as health authorities, a key aspect of the successful implementation of Machine Learning in pharmaceutical development.

Click here to learn more about the Application of Machine Learning to Pharmaceutical Development Certificate.

Program Director: Suphan Kovenklioglu

Students in the artificial intelligence in engineering design graduate certificate program study the fundamental theory, technical algorithms, and engineering applications related to machine learning, deep learning, and artificial engineering, preparing them for specialization in those areas as well as data modeling and analytics. Students of this program will be well-prepared for careers in the electrical engineering, computer engineering and information network fields requiring specialized knowledge and ability in artificial intelligence engineering.

Course #	Course Name
CPE 646	Pattern Recognition and Classification
CPE 695	Applied Machine Learning
EE 551	Engineering Programming: Python
EE 627	Data Acquisition and Processing I
EE 628	Data Acquisition and Processing II

Program Director: Dr. Yu-Dong Yao

This certificate aims to provide the students with a strong quantitative foundation in continuum soft tissue mechanics, medical device design, imaging and instrumentation that will help them advance their careers in both academia and industry. Students will learn about methods and applications within mechanical sciences that are relevant for biomechanical systems.

Course # Course Name

ME 525 Biomechanics

ME 580 Medical Device Design and Technology

ME 695 Biomechanical Imaging: Principles and Methods

ME 694 Continuum Biomechanics

Program Director: Dr. Yong Shi
Additional Information on the Biomechanical Engineering Graduate Certificate

The mission for Construction Management is to develop and prepare technical professionals and managers for responsible roles within the construction firm, managing projects efficiently, and supervising agencies effectively, with careful attention to the impact to the environment. The four course graduate certificate provides a foundation in construction management that will have immediate practical applications.

Course #	Course Name
CM 606	Construction Safety Management
CM 506	Computer Applications in Construction Projects
CM Elective	Any available online course in Construction Management
CM Elective	Any available online course in Construction Management

Notes:

1. CM 506 and CM 605 are offered each semester online.

Program Director: Khondokar Billah

Additional Information on the Construction Management Graduate Certificate

The rapid introduction of new technologies into the enterprise has helped companies enter new markets, connect with customers in more meaningful ways and seize new opportunities. But these advantages have also introduced new risks and vulnerabilities, with interconnected networks offering multiple points of entry for dedicated attackers searching for valuable data. The management of cybersecurity risk has become a core operational concern, requiring an effective partnership of both business and technical leaders within the organization, as well as effective collaboration with external parties — including interconnected business partners and customers.

Stevens brings an established tradition of leadership in cybersecurity to its interdisciplinary graduate certificate in Cybersecurity Risk Management. This program is designed to demonstrate methods to analyze cybersecurity risks in organizations using a multidisciplinary approach, including the examination of fundamentals; prevailing legal and regulatory frameworks; and risk analysis techniques to provide a basis for understanding the nature and technical complexities of interconnected, and therefore interdependent, systems, organizations, and markets. The curriculum's mix of business and computer science classes positions students to become leaders capable of shaping cyber strategy across the enterprise.

This certificate consists of four courses. Choose one of the following options:

Course # Course Name

MIS 645 Cybersecurity Principles for Managers

CS 506 Introductionto IT Security

CS 594 Enterprise and Cloud Security

Students also choose any three of the following to complete the certificate:

Course # Course Name

CS 595 Information Security and the Law

CS 578 Privacy in a Networked World

FIN 545 Risk Management for Financial Cybersecurity

TM 610 Business Information Networks
This program provides a firm grounding in enterprise architecture, particularly as supported by modern database management systems and platforms such as Web services. Students may also focus on data mining, including both algorithms and applications of existing data mining tools.

Course # Course Name

CS 546 Web Programming

CS 561 Database management Systems I

CS 562 Database Management Systems II

CS 574 Object-Oriented Analysis and Design Theory

Program Director: Dr. Sandeep Bhatt
Additional Information on the Databases Graduate Certificate

This program is for students who want to become high-end IT professionals with an interest in enterprise computing. Students will learn about distributed computing from both the reliability and the security points of view. They will learn about distributed computing “in the large,” including enterprise application integration and service-oriented architectures (SOA). They will build on skills learned in courses in operating systems, databases, and systems programming for enterprise computing, to learn how to administer server back-ends that are the crux of modern SOA. This will involve ensuring that applications meet their goals in terms of performance, reliability, security, and privacy. A typical backend setup will involve several virtualized servers, running heterogeneous guest operating systems on top of hypervisors, organized in a highly available cluster. Data processing and Web service applications will have service level agreements (SLAs) that must be honored. The administrator must be able to respond to performance issues by dynamically reallocating resources between applications, while at the same time responding to component failures, and potentially also security attack.

*Students take either CS526 or CS548

Course #	Course Name
CS 522	Mobile Systems and Applications
*CS 526	Enterprise and Cloud Computing
or CS 548	Enterprise Software A&D
CS 549	Distributed Systems and Cloud Computing
CS 594	Enterprise and Cloud Security

Program Director: Dr. Dominic Duggan

The machine learning certificate program provides a practical foundation that is necessary to be at the forefront deep learning theory. The highly focused curriculum allows you to apply or develop the appropriate skills for real-world applications. All students must take CS 559 Machine Learning: Fundamentals & Applications and then choose three additional courses from the list below.

Course #	Course Name
CS 559	Machine Learning: Fundamentals & Applications
CS 541	Artificial Intelligence
CS 560	Statistical Machine Learning
CS 582	Casual Inference
CS 583	Deep Learning
CS 584	Natural Language Processing

Program Director: Eduardo Bonelli

Technology that enables clean power generation is key to sustaining global society and shaping the future. This graduate certificate program will provide students the fundamental basis and practical aspects of materials science and engineering used in sustainable energy technology. Students in this program will be able to analyze the challenges and opportunities of materials design and processing in the energy sector and provide sustainable solutions in the relevant technological and societal context.

Click here to learn more about the Materials Technology for Energy and Sustainability Certificate.

Program Director: Dr. Keith Sheppard
The vast array of communications and information systems today requires complex integration of sophisticated principles and practices drawn from many fields. This four-course, online instructor-led graduate certificate, combining the technical and intellectual resources of many disciplines, enhances your basic and applied skills by marrying a thorough scientific understanding with advanced technological applications in modern photonic devices. Learn to meet industry demands for design, fabrication, integration, and applications. Explore fundamentals as well as state-of-the-industry practice. Emerge with sharply honed knowledge and training as a highly qualified photonics professional.

Course # Course Name

EE 507 Introduction to Microelectronics and Photonics

EE 561 Solid State Electronics I

EE 562 Solid State Electronics II

CPE 690 Introduction to VLSI Design

Program Director: Dr. Stefan Strauf
Additional Information on the Microelectronics Graduate Certificate

Combining audio, image, video, graphics, and text, multimedia deepens the need for efficient representation, networking, and support. This four-course, online, instructor- led graduate certificate program introduces fundamental principles together with tools and techniques you need to design and deploy multimedia systems. Emphasizes state-of-the-art and industry standards—multimedia data compression, wireless and wireline multimedia networking, security, software tools, and application development. Engage in significant hands-on experience with leading industry and academic R&D practitioners enabling you to design and implement multimedia system performance analysis. Become a top multimedia expert. Program Director: K. Subalakshmi

This program provides a firm grounding in enterprise architecture, particularly as supported by modern database management systems and platforms such as Web services. Students may also focus on data mining, including both algorithms and applications of existing data mining tools.

Course #	Course Name
CPE 592	Computer and Multimedia Network Security
EE 612	Principles of Multimedia Compression
CPE 536	Integrated Services - Multimedia
CPE 645	Image Processing and Computer Vision
EE 666	Multidimensional Signal Processing

Program Director: Dr. Yu-Dong Yao

Additional information on the Multimedia Technology Graduate Certificate

The combination of sophisticated information repositories, powerful desktop computers, and routine Internet access has handed the power of information systems to nearly everyone, everywhere. It has transformed global business and extended individual access to information-rich sources. This instructor-led e-learning four-course graduate certificate program covers design, deployment, maintenance, and upgrade of information systems.

Course #	Course Name
NIS 604	Analytics Methods for Network
NIS 654	Design and Analysis of Network Systems
NIS 679	Computer and Information Networks
CPE 592	Computer and Multimedia Network Security

Program Director: Dr. Yu-Dong Yao

Additional Information on the Networked Information Systems Graduate Certificate

This graduate certificate provides an introductory overview of the pharmaceutical, touching on all basic manufacturing processes, facility design issues, validation, compliance, and quality assurance concepts, and pharmaceutical technologies.

Course # Course Name

PME 530 Introduction to Pharmaceutical Manufacturing

PME 535 Good Mfg. Practices in Pharma Facilities Design

PME 540 Validation in Pharma Manufacturing

For the fourth course, choose one from the following list:

Course # Course Name

PME 626 Manufacturing of Biopharmaceutical Products

PME 628 Mfg. & Packaging in Pharma Oral Solid Dosage Products

PME 629 Manufacturing of Sterile Pharmaceuticals

Program Director: Elaine Pratt
Additional information on the Pharmaceutical Manufacturing Graduate Certificate
Photonics is created to meet the needs of students and industry in the areas of design, fabrication, integration, and applications of photonic devices for communications and information systems. The program covers fundamentals as well as state-of-art industrial practices to provide the students and practicing engineers with the necessary knowledge and training to be competitive in the field of photonics.

Course # Course Name

EE 507 Introduction to Microelectronics and Photonics

EE 515 Photonics I

EE 516 Photonics II

EE 626 Optical Communication Systems

Other Courses within the program also available online:

Course # Course Name

PEP 577 Lazer Theory and Design

PEP 578 Lazer Applications and Advanced Optics

Program Director: Dr. Rainer Martini
Additional Information on the Photonics Graduate Certificate

Comprehensive coverage of network design, including large-scale system architecture, security, control and coordination algorithms, deadlocks, scalability, realistic traffic estimation, computational intelligence, hardware, complex software, and asynchronous timing. This systematic, four-course instructor-led online graduate certificate distills knowledge from electrical engineering, computer engineering, computer science, and related disciplines. Emerge with skills in designing, deploying, maintaining, hardening, and upgrading state-of-the-art networks.

Choose from four of the following:

Course #	Course Name
CPE 560	Introduction to Networked Information Systems
CPE 592	Computer and Multimedia Network Security
CPE 654	Design and Analysis of Network Systems
CPE 691	Information Systems Security
EE 584	Wireless Systems Security

Program Director: Dr. Yu-Dong Yao

Additional information on the Secure Network Systems Design Graduate Certificate

The four-course graduate certificate in Structural Analysis and Design enables students to apply state-of-the-art tools and design principles for the development of highly complex structural and machine systems. Students who successfully complete the certificate will be prepared to take on leading roles in a wide spectrum of organizations that are engaged in advanced product development. This program offers a unique combination of intense collaboration, small class sizes, and professional networking opportunities. Graduates will develop and sharpen their skills in interpersonal and team collaboration, enabling them to function effectively in industries characterized by intense global competition, shrinking product life cycles, severe cost pressures, and continuously advancing technologies.

Course # Course Name

ME 658 Advanced Mechanics of Solids

*ME 663 Finite Element Methods

ME 661 Advanced Stress Analysis

ME 659 Advanced Structural Design

* The ME 663 class has two prerequisites: ME 641 Engineering Analysis and ME 658 Advanced Mechanics of Solids.

Notes:

The four courses should be taken in the order listed above.

A four-year degree in mechanical engineering or a related field, two letters of recommendation, and competitive GRE scores are required for admission.

Competitive TOEFL/IELTS scores (for international students whose native language is not English) is required.

Program Director: Dr. Yong Shi
Additional Information on the Structural Analysis and Design Graduate Certificate
This four-course graduate certificate is designed for individuals who work or aspire to work in validation, compliance, or quality functions in industries driven by Good Manufacturing Practices (GMP), including pharmaceutical, medical device, biotechnology, cosmetics, and personal care product manufacturers. Students learn approaches to process validation, qualification of equipment, utilities, facilities, analytical methods, cleaning validation, etc., as well as quality-related concepts and methods, and regulatory compliance issues in the global environment.

Curriculum: Mandatory Courses

Course # Course Name

PME 540 Validation in Pharmaceutical Manufacturing

PME 560 Quality in Pharmaceutical Manufacturing

PME 602 Statistical Methods in Pharma Manufacturing

Elective courses

Course # Course Name

PME 541 Validation of Computerized Systems

PME 542 Global Regulation & Compliance in the Pharma Industry

Program Director: Elaine Pratt
Additional Information on the Validation, Compliance and Quality (VCQ) in the Pharmaceutical Industry Graduate Certificate

Offers you a wide-ranging overview of traditional and digital wireless communications, including first, second and third generation systems. Explore signal/data processing, physical design, and high-level operation, performance, standards, and control of wireless communications systems.

Choose four of the following:

Course #	Course Name
EE 583	Wireless Communications
EE 584	Wireless Systems Security
EE 585	Physical Design of Wireless Systems
EE 582	Wireless Networking: Architecture, Protocols and Standards
EE 651	Spread Spectrum and CDMA
EE 653	Cross-Layer Design for Wireless Networks

Program Director: Dr. Yu-Dong Yao

Additional information on the Wireless Communications Graduate Certificate

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StevensOnline

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Howe Center, 11th Floor
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Hoboken, NJ 07030

Contact Types

p. 877.376.9534
e. [email protected]
f. 800.261.0177

Course #	Course Name
EE 507	Introduction to Microelectronics and Photonics
EE 515	Photonics I
EE 516	Photonics II
EE 626	Optical Communication Systems

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