Prepare yourself to explore future science and technology with our interdisciplinary graduate certificate program. These certificates allow students to learn beyond their graduate research. Current graduate students can also earn these credentials simultaneously with their degrees.

## Advanced Computational Physics

Numerical programming and computer simulations are ubiquitous through all subjects in physics. Thus, computational physics has grown to be an appealing field for those who wish to acquire advanced and modern skills to solve interdisciplinary problems.

The graduate certificate in Advanced Computational Physics develops a foundation in programming, UNIX computing environment, system libraries, and computer graphics, to enable you to start exploring more advanced computational topics. You will learn basic and advanced numerical algorithms, develop and implement numerical methods and computer simulations using these new skills, and explore the application of advanced computation to scientific problems in your research area.

## Big Data Statistics in Astrophysics

Astronomy and Astrophysics data are undergoing dramatic growth in size and complexity as detectors, telescopes, and computers become ever more powerful. Modern telescopes produce terabytes of data per observation, and over the next decade the data volume is expected to enter the petabyte domain.

The graduate certificate Big Data Statistics in Astrophysics will help you to develop a foundation of statistical analysis, data mining, and machine learning; understand how to implement algorithms; how to use databases to manage the data; and how to learn from the data with machine learning tools. You will develop and implement new machine learning methods for problems in astrophysics. Based on these skills, you can explore applications of statistical techniques and machine learning tools to analyze and interpret astrophysical data.

## Frontiers in Materials Physics

Experimental Materials physics is an indispensable field for advanced electronic, photonic, energy devices, and future quantum computation and communication. This growing area is expected to meet many academic and industrial needs.

The graduate certificate in Frontiers in Materials Physics aims to help you develop foundational knowledge and techniques in the areas of: low-dimensional materials, quantum and topological materials, energy materials, and atmospheric particles and nanomaterials. You may also explore applications for spectroscopy, photovoltaics, optoelectronic devices, and environmental optics.

## Frontiers in Optics and Photonics

Optical and photonic physics are emerging fields for telecommunication, optical

computing, biophotonics, quantum sensing/communication and computing. This growing
field is expected to meet many academic and industrial needs.

The graduate certificate in Frontiers in Optics and Photonics will develop your foundation in integrated photonics, nano optics, computational electromagnetics, quantum optics, and optical wave propagation in complex media. Based on these skills, you can explore applications in telecommunications, biophotonics, quantum computing, sensing and imaging.

## Certificate Requirements

Each certificate is comprised of at least one required course, with the remainder of the 9 credits selected from a list of elective courses. The program advisor will help you select courses that fit your interests and skills.

### Advanced Computational Physics - Required

### Advanced Computational Physics - Electives

### Big Data Statistics in Astrophysics - Required

### Big Data Statistics in Astrophysics - Electives (4000 level - Maximum 3 credits)

### Big Data Statistics in Astrophysics - Electives (5000 level)

### Frontiers in Materials Physics - Required

### Frontiers in Materials Physics - Electives

**Additionally, a maximum of one credit of the following can be counted toward the Frontiers
in Material Physics Certificate:**

### Frontiers in Optics and Photonics - Required

### Frontiers in Optics and Photonics - Electives

## Contacts

### Issei Nakamura

#### Advanced Computational Physics

### Elena Giusarma

#### Big Data Statistics in Astrophysics

### Jae Yong Suh

#### Frontiers in Materials Physics

### Ramy El-Ganainy

#### Frontiers in Optics and Photonics

### Claire Wiitanen

#### Administrative Aide