Program Overview
The MS in Computational Physics at the University at Albany is a 33-credit program that equips students with the skills to solve real-world physics problems using numerical simulations and computational modeling. The program includes core courses in physics, electives in scientific computing and data analysis, and a research component. Graduates are prepared for careers in scientific research, industry, and academia.
Program Outline
Degree Overview:
This 33-credit graduate program equips you with the skills and knowledge to solve real-world physics problems using numerical simulations and computational modeling. You'll delve into various fields like medical imaging, astrophysics, optics, electrodynamics, quantum mechanics, and statistical mechanics, while mastering crucial tools like scientific computing, programming, and advanced data analysis. This program also allows non-degree students to transfer up to 12 credits towards the master's degree or transfer courses and credits into the Ph.D. Physics program for current MS students. This program aims to:
- Develop students' proficiency in scientific computing and programming using multiple languages.
- Enhance critical thinking and problem-solving abilities through computational simulations.
- Hone students' analytical skills through data exploration and visualization of results.
- Provide a platform for research collaboration in diverse areas like biomedical imaging and particle physics.
- Prepare graduates for diverse careers in scientific research institutions, industry, academic sectors, as well as pursue doctoral-level studies.
Outline:
#Program Structure:
The MS Computational Physics program consists of:
- 18 credits dedicated to core Physics courses, covering electrodynamics, quantum theory, statistical and classical mechanics, computational methods, and quantum information
- 9 elective credits delving into specific areas of study: scientific and high-performancecomputing, Bayesian data and error analysis, machine learning, advanced statistical models, or other specialized courses offered by Computer Science, Mathematics, and Electrical Engineering departments.
- 3 research credits acquired by either successfully writing and defending your final thesis OR through an exam conducted on your final project.
Courses:
#Sample Modules:
- Computational physics courses:
- Bayesian analysis
- Data mining, machine learning
- High-throughput computing
- Time/Fourier analysis for data interpretation
- Statistical mechanics and model analysis
- Research:
- Participate as part of faculty-led groups working in:
- Theoretical particle, cosmology, astroparticle physics
- Neutrino research
- X, gamma-ray space research
- Develop expertise by:
- Designing & writing physics code
- Exploring large scientific and real-word data
- Preparing and sharing research outputs
- Physics core courses:
- Classical physics and electrodynamics and quantum theory (including computational and coding elements)
- Focus areas
- Biomedical, high energy & particle
- Statistical, soft matter, optical
- Materials Science
- Develop proficiency in computer-related approaches to research
- Use the thesis/dissertation or final project as evidence of acquired skill
- Teaching:
- Employ diverse teaching methodologies
- Interactive lectures with real-time problem solving
- Project & computer/code-driven assignments
- Active student involvement and faculty interaction
- Utilize innovative computational tools and languages (Python, Fortran, etc.)
- Emphasize coding development & testing for accurate data analysis
- Teach collaboration in scientific exploration with research-specific data
- Careers:
- Physics research positions at institutes like Lawrence Berkeley National Lab
- Engineering roles for companies like Global Foundries
- Academic positions as professors or researchers
- Modelling analyst, Machine Learning engineer for various sectors
- Positions linked to scientific computing applications in diverse industries
- Additional roles:
- Biomedical and chemical engineers, aerospace technician
Research Opportunities
- Participate in faculty research, gaining practical experience and expertise
- Develop coding proficiency
- Access advanced scientific computing resources
- Work with large and complex data sets
Student Learning Outcomes
- Gain mastery in classical & quantum physics, statistical mechanics
- At the curriculum level (See full description in linked source below) and research/ thesis level
- Supplemental Programs Available
Conclusion:
This MS program equips graduates not only with strong foundational knowledge in physics & advanced computing techniques, but also the research experience necessary to excel in competitive STEM careers or further academic pursuits.
Overview:
University at Albany, also known as the University at Albany - State University of New York, is a public research university located in Albany, New York. It is part of the State University of New York (SUNY) system and has a long history, having been established in 1844. The university is known for its diverse academic programs, strong research focus, and commitment to public engagement.
Services Offered:
The university offers a wide range of services to its students, including:
Academic Advising:
Provides guidance and support to students in choosing courses, planning their academic careers, and navigating university resources.Libraries:
Offers access to a vast collection of books, journals, databases, and other research materials.Career Services:
Assists students in exploring career options, developing job search skills, and connecting with potential employers.Student Life:
Provides opportunities for students to get involved in extracurricular activities, clubs, organizations, and social events.Residential Life:
Offers on-campus housing options for students, fostering a sense of community and providing support services.Dining:
Provides a variety of dining options on campus, catering to different dietary needs and preferences.Athletics:
Offers a variety of intercollegiate sports programs for students to participate in or cheer for.Student Life and Campus Experience:
Students at University at Albany can expect a vibrant and engaging campus experience. The university offers a wide range of opportunities for students to get involved in extracurricular activities, clubs, organizations, and social events. The campus is located in a city setting, providing easy access to cultural attractions, entertainment venues, and dining options.
Key Reasons to Study There:
Diverse Academic Programs:
The university offers a wide range of undergraduate and graduate programs across various disciplines, allowing students to pursue their interests and career goals.Strong Research Focus:
The university is a leading research institution, providing students with opportunities to engage in research projects and collaborate with faculty experts.Commitment to Public Engagement:
The university is deeply committed to serving the community and addressing societal challenges through research, outreach, and public service initiatives.Faculty Access:
The university has a low student-faculty ratio, ensuring that students have ample opportunities to interact with and learn from their professors.Academic Programs:
The university offers a wide range of academic programs, including:
Undergraduate Programs:
Over 50 undergraduate majors across various disciplines, including the arts, sciences, humanities, social sciences, business, education, and engineering.Graduate Programs:
A wide range of graduate programs, including master's and doctoral degrees, in fields such as business, education, public health, criminal justice, and the sciences.Online Learning:
Offers a variety of online courses and programs for students who prefer flexible learning options.Other:
The university has a strong alumni network, with over 195,000 alumni who support the university and its students. The university is also home to a number of research centers and institutes, focusing on areas such as nanotechnology, public health, and environmental science.
Entry Requirements:
GPA:
3.0 or higher in the last 60 semester hours of undergraduate coursework, preferably in physics or mathematics.
Coursework:
- One year of calculus-based physics (mechanics, electromagnetism, and optics).
- One year of calculus (differential and integral).
- One semester of linear algebra.
- One semester of programming (Python or C++).
Minimum GRE Scores:
- Verbal: 150
- Quantitative: 155
- Analytical Writing: 4.0
Letters of Recommendation:
Three letters of recommendation from professors familiar with your academic abilities.
Statement of Purpose:
A statement of purpose describing your research interests and career goals.
International Students:
- International students must also meet the university's English language proficiency requirements.
Language Proficiency Requirements:
TOEFL:
80 or higher
- The program also accepts applications from students with non-traditional backgrounds, such as those with work experience in physics or related fields.
