Emerging Technologies (MS)
Digital Learning
Program Description
In the Emerging Technologies Master of Science program at NYU Tandon, students have the freedom to design a unique curriculum engineered by them to match their interests and professional aspirations.
This degree is ideal for individuals who intend to advance their careers within various tech roles across multiple industries. Explore cross-functional and high-value knowledge areas including machine learning & AI, user experience & design, wireless, cybersecurity, innovation & change management, robotics, data science, urban informatics, and software engineering.
In this 30-credit program, students have the autonomy to select concentrations and courses from across several academic departments at Tandon. Students are free to optimize their studies by designing their own path, exploring the intersections across engineering disciplines that best fit their professional passions.
Why Choose NYU Tandon?
The Emerging Technologies MS program at Tandon allows students to develop their own unique cross-disciplinary path, integrating specialized learning from a variety of online courses and programs. This degree is inherently adaptable to the evolving technology landscape, leading to new opportunities and career advancement within in-demand fields.
Admissions
To apply for admission to any Tandon graduate program, please contact the Office of Graduate Admissions.
Program Requirements
The program requires the completion of 30 credits, and students will select one of the following concentrations:
Cybersecurity
| Course | Title | Credits |
|---|---|---|
| Concentration Electives | ||
| Select three of the following: | 9 | |
| Penetration Testing and Vulnerability Analysis | ||
| Information, Security and Privacy | ||
| Network Security | ||
| Application Security | ||
| Special Topics in Computer Science (Cyber Risk Management) | ||
| Special Topics in Computer Science (Cyber Resiliency Management) | ||
| SELECTED TOPICS IN CS (Mobile Security) | ||
| SELECTED TOPICS IN CS (Offensive Security) | ||
| INFORMATION SECURITY FOR MANAGERS | ||
| Capstone | ||
| CS-GY 6803 | Information Systems Security Engineering and Management | 3 |
| Emerging Technologies Electives | ||
| Select six of the following: | 18 | |
| Design and Analysis of Algorithms I | ||
| Design and Analysis of Algorithms II | ||
| Foundation of Data Science | ||
| Software Engineering I | ||
| Software Engineering II | ||
| INFORMATION VISUALIZATION | ||
| Programming Languages | ||
| Big Data | ||
| Penetration Testing and Vulnerability Analysis | ||
| Artificial Intelligence I | ||
| COMPUTER VISION | ||
| ALGORITHMIC MACHINE LEARNING AND DATA SCIENCE | ||
| Information, Security and Privacy | ||
| Network Security | ||
| Computer Networking | ||
| Machine Learning | ||
or ECE-GY 6143 | MACHINE LEARNING | |
| Application Security | ||
| SELECTED TOPICS IN CS (Mobile Security) | ||
| SELECTED TOPICS IN CS (Offensive Security) | ||
| Introduction to Applied Data Science | ||
| Machine Learning for Cities | ||
| Innovative City Governance | ||
| Big Data Management & Analysis | ||
| Data Visualization | ||
| Ideation & Prototyping | ||
| Creative Coding | ||
| Mobile Augmented Reality Studio | ||
| SPECIAL TOPICS IN DIGITAL MEDIA (User Experience Design) | ||
| Special Topics in Data Science (Responsible Data Science) | ||
| Digital Communications | ||
| Wireless Communications | ||
| Digital Signal Processing I | ||
| INTERNET ARCHITECTURE & PROTOCOLS | ||
| Data Center and Cloud Computing | ||
| High-Speed Networks | ||
| ECONOMICS AND STRATEGY | ||
| Global Innovation | ||
| INFORMATION SECURITY FOR MANAGERS | ||
| Technology Strategy | ||
| FOUNDATIONS OF ROBOTICS | ||
| ROBOT PERCEPTION | ||
| ROBOT LOCALIZATION AND NAVIGATION | ||
| Robotic Gait and Manipulation | ||
| Total Credits | 30 | |
Data Science
| Course | Title | Credits |
|---|---|---|
| Concentration Electives | ||
| Select three of the following: | 9 | |
| Machine Learning and Data Science for Bioinformatics | ||
| Foundation of Data Science | ||
| INFORMATION VISUALIZATION | ||
| Big Data | ||
| Introduction to Applied Data Science | ||
| Data Visualization | ||
| Data Center and Cloud Computing | ||
| Capstone | ||
| CUSP-GX 7023 | Applied Data Science | 3 |
| Emerging Technologies Electives | ||
| Select six of the following: | 18 | |
| Design and Analysis of Algorithms I | ||
| Design and Analysis of Algorithms II | ||
| Foundation of Data Science | ||
| Software Engineering I | ||
| Software Engineering II | ||
| INFORMATION VISUALIZATION | ||
| Programming Languages | ||
| Big Data | ||
| Penetration Testing and Vulnerability Analysis | ||
| Artificial Intelligence I | ||
| COMPUTER VISION | ||
| ALGORITHMIC MACHINE LEARNING AND DATA SCIENCE | ||
| Information, Security and Privacy | ||
| Network Security | ||
| Computer Networking | ||
| Machine Learning | ||
or ECE-GY 6143 | MACHINE LEARNING | |
| Application Security | ||
| SELECTED TOPICS IN CS (Mobile Security) | ||
| SELECTED TOPICS IN CS (Offensive Security) | ||
| Introduction to Applied Data Science | ||
| Machine Learning for Cities | ||
| Innovative City Governance | ||
| Big Data Management & Analysis | ||
| Data Visualization | ||
| Ideation & Prototyping | ||
| Creative Coding | ||
| Mobile Augmented Reality Studio | ||
| SPECIAL TOPICS IN DIGITAL MEDIA (User Experience Design) | ||
| Special Topics in Data Science (Responsible Data Science) | ||
| Digital Communications | ||
| Wireless Communications | ||
| Digital Signal Processing I | ||
| INTERNET ARCHITECTURE & PROTOCOLS | ||
| Data Center and Cloud Computing | ||
| High-Speed Networks | ||
| ECONOMICS AND STRATEGY | ||
| Global Innovation | ||
| INFORMATION SECURITY FOR MANAGERS | ||
| Technology Strategy | ||
| FOUNDATIONS OF ROBOTICS | ||
| ROBOT PERCEPTION | ||
| ROBOT LOCALIZATION AND NAVIGATION | ||
| Robotic Gait and Manipulation | ||
| Total Credits | 30 | |
Innovation & Change Management
| Course | Title | Credits |
|---|---|---|
| Concentration Electives | ||
| MG-GY 6023 | ECONOMICS AND STRATEGY | 3 |
| MG-GY 7953 | Global Innovation | 3 |
| MG-GY 8673 | Technology Strategy | 3 |
| Capstone | ||
| MG-GY 9503 | MOT Capstone Project Course | 3 |
| Emerging Technologies Electives | ||
| Select six of the following: | 18 | |
| Design and Analysis of Algorithms I | ||
| Design and Analysis of Algorithms II | ||
| Foundation of Data Science | ||
| Software Engineering I | ||
| Software Engineering II | ||
| INFORMATION VISUALIZATION | ||
| Programming Languages | ||
| Big Data | ||
| Penetration Testing and Vulnerability Analysis | ||
| Artificial Intelligence I | ||
| COMPUTER VISION | ||
| ALGORITHMIC MACHINE LEARNING AND DATA SCIENCE | ||
| Information, Security and Privacy | ||
| Network Security | ||
| Computer Networking | ||
| Machine Learning | ||
or ECE-GY 6143 | MACHINE LEARNING | |
| Application Security | ||
| SELECTED TOPICS IN CS (Mobile Security) | ||
| SELECTED TOPICS IN CS (Offensive Security) | ||
| Introduction to Applied Data Science | ||
| Machine Learning for Cities | ||
| Innovative City Governance | ||
| Big Data Management & Analysis | ||
| Data Visualization | ||
| Ideation & Prototyping | ||
| Creative Coding | ||
| Mobile Augmented Reality Studio | ||
| SPECIAL TOPICS IN DIGITAL MEDIA (User Experience Design) | ||
| Special Topics in Data Science (Responsible Data Science) | ||
| Digital Communications | ||
| Wireless Communications | ||
| Digital Signal Processing I | ||
| INTERNET ARCHITECTURE & PROTOCOLS | ||
| Data Center and Cloud Computing | ||
| High-Speed Networks | ||
| ECONOMICS AND STRATEGY | ||
| Global Innovation | ||
| INFORMATION SECURITY FOR MANAGERS | ||
| Technology Strategy | ||
| FOUNDATIONS OF ROBOTICS | ||
| ROBOT PERCEPTION | ||
| ROBOT LOCALIZATION AND NAVIGATION | ||
| Robotic Gait and Manipulation | ||
| Total Credits | 30 | |
Machine Learning & Artificial Intelligence
| Course | Title | Credits |
|---|---|---|
| Concentration Electives | ||
| Select three of the following: | 9 | |
| Machine Learning and Data Science for Bioinformatics | ||
| Design and Analysis of Algorithms I | ||
| Artificial Intelligence I | ||
| COMPUTER VISION | ||
| ALGORITHMIC MACHINE LEARNING AND DATA SCIENCE | ||
| Machine Learning | ||
or ECE-GY 6143 | MACHINE LEARNING | |
| DEEP LEARNING | ||
| Capstone | ||
| Select one of the following: | 3 | |
| Advanced Machine Learning | ||
| Artificial Intelligence for Games | ||
| Emerging Technologies Electives | ||
| Select six of the following: | 18 | |
| Design and Analysis of Algorithms I | ||
| Design and Analysis of Algorithms II | ||
| Foundation of Data Science | ||
| Software Engineering I | ||
| Software Engineering II | ||
| INFORMATION VISUALIZATION | ||
| Programming Languages | ||
| Big Data | ||
| Penetration Testing and Vulnerability Analysis | ||
| Artificial Intelligence I | ||
| COMPUTER VISION | ||
| ALGORITHMIC MACHINE LEARNING AND DATA SCIENCE | ||
| Information, Security and Privacy | ||
| Network Security | ||
| Computer Networking | ||
| Machine Learning | ||
or ECE-GY 6143 | MACHINE LEARNING | |
| Application Security | ||
| SELECTED TOPICS IN CS (Mobile Security) | ||
| SELECTED TOPICS IN CS (Offensive Security) | ||
| Introduction to Applied Data Science | ||
| Machine Learning for Cities | ||
| Innovative City Governance | ||
| Big Data Management & Analysis | ||
| Data Visualization | ||
| Ideation & Prototyping | ||
| Creative Coding | ||
| Mobile Augmented Reality Studio | ||
| SPECIAL TOPICS IN DIGITAL MEDIA (User Experience Design) | ||
| Special Topics in Data Science (Responsible Data Science) | ||
| Digital Communications | ||
| Wireless Communications | ||
| Digital Signal Processing I | ||
| INTERNET ARCHITECTURE & PROTOCOLS | ||
| Data Center and Cloud Computing | ||
| High-Speed Networks | ||
| ECONOMICS AND STRATEGY | ||
| Global Innovation | ||
| INFORMATION SECURITY FOR MANAGERS | ||
| Technology Strategy | ||
| FOUNDATIONS OF ROBOTICS | ||
| ROBOT PERCEPTION | ||
| ROBOT LOCALIZATION AND NAVIGATION | ||
| Robotic Gait and Manipulation | ||
| Total Credits | 30 | |
Robotics
| Course | Title | Credits |
|---|---|---|
| Concentration Electives | ||
| Select three of the following: | 9 | |
| Artificial Intelligence I | ||
| ALGORITHMIC MACHINE LEARNING AND DATA SCIENCE | ||
| MACHINE LEARNING | ||
or CS-GY 6923 | Machine Learning | |
| FOUNDATIONS OF ROBOTICS | ||
| ROBOT PERCEPTION | ||
| ROBOT LOCALIZATION AND NAVIGATION | ||
| Robotic Gait and Manipulation | ||
| Capstone | ||
| Select one of the following: | 3 | |
| REINFORCEMENT LEARNING AND OPTIMAL CONTROL FOR ROBOTICS | ||
| INTERACTIVE MEDICAL ROBOTICS | ||
| Emerging Technologies Electives | ||
| Select six of the following: | 18 | |
| Design and Analysis of Algorithms I | ||
| Design and Analysis of Algorithms II | ||
| Foundation of Data Science | ||
| Software Engineering I | ||
| Software Engineering II | ||
| INFORMATION VISUALIZATION | ||
| Programming Languages | ||
| Big Data | ||
| Penetration Testing and Vulnerability Analysis | ||
| Artificial Intelligence I | ||
| COMPUTER VISION | ||
| ALGORITHMIC MACHINE LEARNING AND DATA SCIENCE | ||
| Information, Security and Privacy | ||
| Network Security | ||
| Computer Networking | ||
| Machine Learning | ||
or ECE-GY 6143 | MACHINE LEARNING | |
| Application Security | ||
| SELECTED TOPICS IN CS (Mobile Security) | ||
| SELECTED TOPICS IN CS (Offensive Security) | ||
| Introduction to Applied Data Science | ||
| Machine Learning for Cities | ||
| Innovative City Governance | ||
| Big Data Management & Analysis | ||
| Data Visualization | ||
| Ideation & Prototyping | ||
| Creative Coding | ||
| Mobile Augmented Reality Studio | ||
| SPECIAL TOPICS IN DIGITAL MEDIA (User Experience Design) | ||
| Special Topics in Data Science (Responsible Data Science) | ||
| Digital Communications | ||
| Wireless Communications | ||
| Digital Signal Processing I | ||
| INTERNET ARCHITECTURE & PROTOCOLS | ||
| Data Center and Cloud Computing | ||
| High-Speed Networks | ||
| ECONOMICS AND STRATEGY | ||
| Global Innovation | ||
| INFORMATION SECURITY FOR MANAGERS | ||
| Technology Strategy | ||
| FOUNDATIONS OF ROBOTICS | ||
| ROBOT PERCEPTION | ||
| ROBOT LOCALIZATION AND NAVIGATION | ||
| Robotic Gait and Manipulation | ||
| Total Credits | 30 | |
Software Development
| Course | Title | Credits |
|---|---|---|
| Concentration Electives | ||
| Select three of the following: | 9 | |
| Design and Analysis of Algorithms I | ||
| Software Engineering I | ||
| Programming Languages | ||
| SPECIAL TOPICS IN COMPUTER SCIENCE (Intro to Java) | ||
| SELECTED TOPICS IN CS (CS-Open Source/Professional Software) | ||
| Capstone | ||
| CS-GY 6253 | Distributed Operating Systems | 3 |
| Emerging Technologies Electives | ||
| Select six of the following: | 18 | |
| Design and Analysis of Algorithms I | ||
| Design and Analysis of Algorithms II | ||
| Foundation of Data Science | ||
| Software Engineering I | ||
| Software Engineering II | ||
| INFORMATION VISUALIZATION | ||
| Programming Languages | ||
| Big Data | ||
| Penetration Testing and Vulnerability Analysis | ||
| Artificial Intelligence I | ||
| COMPUTER VISION | ||
| ALGORITHMIC MACHINE LEARNING AND DATA SCIENCE | ||
| Information, Security and Privacy | ||
| Network Security | ||
| Computer Networking | ||
| Machine Learning | ||
or ECE-GY 6143 | MACHINE LEARNING | |
| Application Security | ||
| SELECTED TOPICS IN CS (Mobile Security) | ||
| SELECTED TOPICS IN CS (Offensive Security) | ||
| Introduction to Applied Data Science | ||
| Machine Learning for Cities | ||
| Innovative City Governance | ||
| Big Data Management & Analysis | ||
| Data Visualization | ||
| Ideation & Prototyping | ||
| Creative Coding | ||
| Mobile Augmented Reality Studio | ||
| SPECIAL TOPICS IN DIGITAL MEDIA (User Experience Design) | ||
| Special Topics in Data Science (Responsible Data Science) | ||
| Digital Communications | ||
| Wireless Communications | ||
| Digital Signal Processing I | ||
| INTERNET ARCHITECTURE & PROTOCOLS | ||
| Data Center and Cloud Computing | ||
| High-Speed Networks | ||
| ECONOMICS AND STRATEGY | ||
| Global Innovation | ||
| INFORMATION SECURITY FOR MANAGERS | ||
| Technology Strategy | ||
| FOUNDATIONS OF ROBOTICS | ||
| ROBOT PERCEPTION | ||
| ROBOT LOCALIZATION AND NAVIGATION | ||
| Robotic Gait and Manipulation | ||
| Total Credits | 30 | |
Urban Informatics
| Course | Title | Credits |
|---|---|---|
| Concentration Electives | ||
| Select three of the following: | 9 | |
| Geographic Information Systems | ||
| Introduction to Programming for Solving Urban Challenges | ||
| Introduction to Applied Data Science | ||
| Innovative City Governance | ||
| Data Visualization | ||
| Capstone | ||
| CUSP-GX 7043 | Civic Analytics and Urban Intelligence | 3 |
| Emerging Technologies Electives | ||
| Select six of the following: | 18 | |
| Design and Analysis of Algorithms I | ||
| Design and Analysis of Algorithms II | ||
| Foundation of Data Science | ||
| Software Engineering I | ||
| Software Engineering II | ||
| INFORMATION VISUALIZATION | ||
| Programming Languages | ||
| Big Data | ||
| Penetration Testing and Vulnerability Analysis | ||
| Artificial Intelligence I | ||
| COMPUTER VISION | ||
| ALGORITHMIC MACHINE LEARNING AND DATA SCIENCE | ||
| Information, Security and Privacy | ||
| Network Security | ||
| Computer Networking | ||
| Machine Learning | ||
or ECE-GY 6143 | MACHINE LEARNING | |
| Application Security | ||
| SELECTED TOPICS IN CS (Mobile Security) | ||
| SELECTED TOPICS IN CS (Offensive Security) | ||
| Introduction to Applied Data Science | ||
| Machine Learning for Cities | ||
| Innovative City Governance | ||
| Big Data Management & Analysis | ||
| Data Visualization | ||
| Ideation & Prototyping | ||
| Creative Coding | ||
| Mobile Augmented Reality Studio | ||
| SPECIAL TOPICS IN DIGITAL MEDIA (User Experience Design) | ||
| Special Topics in Data Science (Responsible Data Science) | ||
| Digital Communications | ||
| Wireless Communications | ||
| Digital Signal Processing I | ||
| INTERNET ARCHITECTURE & PROTOCOLS | ||
| Data Center and Cloud Computing | ||
| High-Speed Networks | ||
| ECONOMICS AND STRATEGY | ||
| Global Innovation | ||
| INFORMATION SECURITY FOR MANAGERS | ||
| Technology Strategy | ||
| FOUNDATIONS OF ROBOTICS | ||
| ROBOT PERCEPTION | ||
| ROBOT LOCALIZATION AND NAVIGATION | ||
| Robotic Gait and Manipulation | ||
| Total Credits | 30 | |
User Experience & Design
| Course | Title | Credits |
|---|---|---|
| Concentration Electives | ||
| Select three of the following: | 9 | |
| Human Computer Interaction | ||
| Ideation & Prototyping | ||
| Creative Coding | ||
| Mobile Augmented Reality Studio | ||
| User Experience Design | ||
| SPECIAL TOPICS IN DIGITAL MEDIA (Visual Design Studio) | ||
| Capstone | ||
| DM-GY 9103 | SPECIAL TOPICS IN DIGITAL MEDIA (Project Design Studios) | 3 |
| Emerging Technologies Electives | ||
| Select six of the following: | 18 | |
| Design and Analysis of Algorithms I | ||
| Design and Analysis of Algorithms II | ||
| Foundation of Data Science | ||
| Software Engineering I | ||
| Software Engineering II | ||
| INFORMATION VISUALIZATION | ||
| Programming Languages | ||
| Big Data | ||
| Penetration Testing and Vulnerability Analysis | ||
| Artificial Intelligence I | ||
| COMPUTER VISION | ||
| ALGORITHMIC MACHINE LEARNING AND DATA SCIENCE | ||
| Information, Security and Privacy | ||
| Network Security | ||
| Computer Networking | ||
| Machine Learning | ||
or ECE-GY 6143 | MACHINE LEARNING | |
| Application Security | ||
| SELECTED TOPICS IN CS (Mobile Security) | ||
| SELECTED TOPICS IN CS (Offensive Security) | ||
| Introduction to Applied Data Science | ||
| Machine Learning for Cities | ||
| Innovative City Governance | ||
| Big Data Management & Analysis | ||
| Data Visualization | ||
| Ideation & Prototyping | ||
| Creative Coding | ||
| Mobile Augmented Reality Studio | ||
| SPECIAL TOPICS IN DIGITAL MEDIA (User Experience Design) | ||
| Special Topics in Data Science (Responsible Data Science) | ||
| Digital Communications | ||
| Wireless Communications | ||
| Digital Signal Processing I | ||
| INTERNET ARCHITECTURE & PROTOCOLS | ||
| Data Center and Cloud Computing | ||
| High-Speed Networks | ||
| ECONOMICS AND STRATEGY | ||
| Global Innovation | ||
| INFORMATION SECURITY FOR MANAGERS | ||
| Technology Strategy | ||
| FOUNDATIONS OF ROBOTICS | ||
| ROBOT PERCEPTION | ||
| ROBOT LOCALIZATION AND NAVIGATION | ||
| Robotic Gait and Manipulation | ||
| Total Credits | 30 | |
Wireless & Networking
| Course | Title | Credits |
|---|---|---|
| Concentration Electives | ||
| Select three of the following: | 9 | |
| Computer Networking | ||
| Digital Communications | ||
| Wireless Communications | ||
| Digital Signal Processing I | ||
| INTERNET ARCHITECTURE & PROTOCOLS | ||
| High-Speed Networks | ||
| Capstone | ||
| ECE-GY 7353 | Network Modeling and Analysis | 3 |
| Emerging Technologies Electives | ||
| Select six of the following: | 18 | |
| Design and Analysis of Algorithms I | ||
| Design and Analysis of Algorithms II | ||
| Foundation of Data Science | ||
| Software Engineering I | ||
| Software Engineering II | ||
| INFORMATION VISUALIZATION | ||
| Programming Languages | ||
| Big Data | ||
| Penetration Testing and Vulnerability Analysis | ||
| Artificial Intelligence I | ||
| COMPUTER VISION | ||
| ALGORITHMIC MACHINE LEARNING AND DATA SCIENCE | ||
| Information, Security and Privacy | ||
| Network Security | ||
| Computer Networking | ||
| Machine Learning | ||
or ECE-GY 6143 | MACHINE LEARNING | |
| Application Security | ||
| SELECTED TOPICS IN CS (Mobile Security) | ||
| SELECTED TOPICS IN CS (Offensive Security) | ||
| Introduction to Applied Data Science | ||
| Machine Learning for Cities | ||
| Innovative City Governance | ||
| Big Data Management & Analysis | ||
| Data Visualization | ||
| Ideation & Prototyping | ||
| Creative Coding | ||
| Mobile Augmented Reality Studio | ||
| SPECIAL TOPICS IN DIGITAL MEDIA (User Experience Design) | ||
| Special Topics in Data Science (Responsible Data Science) | ||
| Digital Communications | ||
| Wireless Communications | ||
| Digital Signal Processing I | ||
| INTERNET ARCHITECTURE & PROTOCOLS | ||
| Data Center and Cloud Computing | ||
| High-Speed Networks | ||
| ECONOMICS AND STRATEGY | ||
| Global Innovation | ||
| INFORMATION SECURITY FOR MANAGERS | ||
| Technology Strategy | ||
| FOUNDATIONS OF ROBOTICS | ||
| ROBOT PERCEPTION | ||
| ROBOT LOCALIZATION AND NAVIGATION | ||
| Robotic Gait and Manipulation | ||
| Total Credits | 30 | |
Changing Concentrations
Students may switch concentrations once during the program, but only after one semester in their original concentration. Any change in concentration much be requested before the student's final semester.
Additional Emerging Technologies Electives
Students may choose Emerging Technologies Electives that best suit their own interests and academic and professional goals. Other courses, not listed above, may be chosen with adviser approval. Note: courses that have been used to fulfill the Concentration Electives or the Capstone requirements do not also count towards the Emerging Technologies Electives credits.
Sample Plan of Study
Full-Time
| 1st Semester/Term | Credits | |
|---|---|---|
| Concentration Elective | 3 | |
| Emerging Technologies Elective | 3 | |
| Emerging Technologies Elective | 3 | |
| Credits | 9 | |
| 2nd Semester/Term | ||
| Concentration Elective | 3 | |
| Emerging Technologies Elective | 3 | |
| Emerging Technologies Elective | 3 | |
| Credits | 9 | |
| 3rd Semester/Term | ||
| Concentration Elective | 3 | |
| Emerging Technologies Elective | 3 | |
| Emerging Technologies Elective | 3 | |
| Credits | 9 | |
| 4th Semester/Term | ||
| Capstone | 3 | |
| Credits | 3 | |
| Total Credits | 30 | |
Part-Time
| 1st Semester/Term | Credits | |
|---|---|---|
| Concentration Elective | 3 | |
| Emerging Technologies Elective | 3 | |
| Credits | 6 | |
| 2nd Semester/Term | ||
| Concentration Elective | 3 | |
| Emerging Technologies Elective | 3 | |
| Credits | 6 | |
| 3rd Semester/Term | ||
| Concentration Elective | 3 | |
| Emerging Technologies Elective | 3 | |
| Credits | 6 | |
| 4th Semester/Term | ||
| Emerging Technologies Elective | 3 | |
| Emerging Technologies Elective | 3 | |
| Credits | 6 | |
| 5th Semester/Term | ||
| Capstone | 3 | |
| Emerging Technologies Elective | 3 | |
| Credits | 6 | |
| Total Credits | 30 | |
Learning Outcomes
Upon successful completion of the program, graduates will:
- Integrate concepts and methodologies from diverse fields to address complex technological challenges, showcasing their ability to work effectively at the intersection of different disciplines.
- Develop the capacity to synthesize ideas from various domains, facilitating the creation of new knowledge in emerging technology areas, and demonstrate their ability to design and execute projects that contribute to the advancement of technology and its applications.
- Thrive in dynamic and ever-changing technology environments, while exhibiting a high degree of adaptability, enabling them to leverage their interdisciplinary education to capitalize on new opportunities within in-demand fields.
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