Experiential Nanotechnologies & Big Data Certificate Program
The University of Texas at Austin’s NASCENT Nanotechnology Center in the Cockrell School of Engineering offers an online Certificate in Experiential Nanotechnologies and Big Data. Students completing the program receive 9 credit hours of graduate engineering course credit on a UT Austin transcript, and a Certificate from the Nanomanufacturing Systems Center (NASCENT).
Courses
- Nanofabrication and Nanomaterials (3 credit hours; offered in the Fall)
- Emerging trends, industry and research roadmaps, and grand challenges.
- Thin film deposition via wet and dry processes.
- Lithography and etch.
- Particle and contamination control.
- Functional nanomaterials.
- Nanodevices (3 credit hours, offered in the Spring)
- Nanotechnologies for energy generation.
- Nanotechnologies for energy storage and lighting.
- Nanotechnologies for displays.
- Nano-enabled transistors, sensors, and memory.
- Nanometrology and Big Data (3 credit hours, offered in the Fall).
Goals
- To teach critical thinking in interdisciplinary areas such as fabrication/metrology, and devices such as flex electronics, displays, wearables & integrated circuits
- To enable experiential learning by portable nano labs shipped to each student – a unique feature of this program
- To introduce students to big data analytics in the context of nanotechnology
- To expose students to industry trends/roadmaps.
Want to learn more? Watch a pre-recorded informational video.
Admissions Requirements, Registration & Program Cost
To qualify for admission to the certificate program, prospective students must:
- Have an undergraduate degree in a science, engineering, or similar field.
- Have maintained an undergraduate GPA of at least a 3.0 (out of 4.0).
- Be able to provide a copy of your undergraduate transcript if requested.
If you do not have an undergraduate GPA of at least 3.0/4.0, you may submit a letter detailing any mitigating circumstances or factors to
Apply Now
To apply, please complete a short application to the Certificate program:
https://utexas.qualtrics.com/jfe/form/SV_0iTbCDyouN4IBdI
Once you complete the online application, your application will be reviewed within 3-5 business days. We will then reach out to you by e-mail with additional questions, or with a link to the course registration page.
The program consists of 3 graduate engineering courses, each with a tuition fee of $2500:
- Nanofabrication and Nanomaterials (offered in the Fall semester);
- Nanodevices (offered in the following Spring semester); and
- Nanometrology and Big Data (offered in the following Fall semester).
We can work with students to provide all supporting documentation needed for students who have a tuition reimbursement program, or other similar program with their employers.
Questions?
Email:
Overview of the Program
The Experiential Nanotechnologies & Big Data Certificate Program provides students with a meaningful introduction to leading-edge and emerging trends in nano-enabled technologies, and related data analysis skills, vitally important to today’s global economy. The program is designed to enable engineers in the semiconductor and other nanotech-related industries to engage more deeply and comprehensively in their careers through online course instruction, real-time office hours, hands-on experiments, and associated computational projects.
Throughout the three-course graduate program, students are exposed to manufacturing technologies (e.g., thin film deposition, lithography, etch, and particle and contamination control) and device technologies (e.g., displays, virtual, augmented, & mixed reality (“XR”), photovoltaics, solid state memory, processors, imaging, and energy storage). Courses in the program are taught by a team of distinguished faculty internationally recognized for their research and innovation.
Benefits to you:
- For engineers focused on individual unit processes – gain an overview of the entire manufacturing infrastructure necessary for fabricating complete, working systems.
- Earn 9 credit-hours of valuable graduate engineering credit online from a top-10 engineering school.
- Stand out from your peers - gain skills better enabling you to think critically in interdisciplinary areas such as semiconductor devices, displays & XR, healthcare, and energy.
- Learn concepts and problem-solving skills important for career advancement and future graduate programs.
- Learn how nanoscale manufacturing technologies work together to fabricate today’s cutting-edge nano-enabled devices. Gain exposure to how devices such as photovoltaics, transistors, displays solid state memory, and hard drives function.
- Learn relevant sensing and metrology approaches in nanotechnology. Understand how to manage, interpret & visualize the resulting big data that comes from these sensing & metrology approaches. Understand learning algorithms & optimization techniques, and automated process control applicable to these systems.
Taught by Nanofabrication & Nanodevice Experts
This certificate program was created and is maintained by experts from the Nanomanufacturing Systems Center headquartered at UT Austin. NASCENT is an NSF-funded engineering research center created with the goal of developing novel wafer-based and roll-to-roll nanofabrication systems to enable future mobile devices. The center has fostered research collaborations with the world’s leading nanofabrication companies (e.g., in the semiconductor industry), and includes world-leading faculty in nanofabrication, nanodevices, and data analytics.
Online Learning with Hands-on Lab Experience!
- Each of the three courses comprising the certificate program is a semester-long course.
- Students completing each course earn 3 transcript credit hours of UT Austin engineering graduate course credit.
- Courses are taught online, with recorded lectures that can be viewed at the student’s convenience. Multiple online office hours are held weekly with the instructor in a real time video conferencing solution.
- Students gain hands-on experience by completing several portable nanotech labs which are shipped to each student. The labs may be completed at home, and are included with the course at no additional cost.
- Students gain computational & big data experience by completing computational projects accompanying the lectures and hands-on experiments.
