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Applied Computational Physics
Overview
Official Name of Program
Department(s) Sponsoring Program
Degree Designation
The Bachelor of Science in Applied Computational Physics is designed to expose students to cutting-edge computational skills in high demand on the job market while providing all the foundational knowledge of a traditional physics curriculum, necessary for more research-focused careers, in academia or in the industry. With its unique blend of mathematics, data science, computer science, and physics, the curriculum offers a broad, balanced, and flexible education.
Through our applied physics focus, students learn about the most complex laws of nature while developing the computational skills to explore these by themselves and pioneer their own smart solutions to the emerging problems of the world.
Through project-based learning and tech internships, our students acquire hands-on experience to prepare for their future career in the industry. Equipped with a solid platform in physics, supercomputing, and mathematics, and trained in complex problem-solving and teamwork, our graduates are ideally positioned to fulfill the growing need for highly-qualified professionals in a wide variety of leading and emerging fields. This includes nanotechnology manufacturing, aerospace, financial modeling, data science, industrial research & development, and environmental sciences among others. Our recent graduates have been offered positions at GE Aerospace, Jet Blue, and more.
Our program is designed as a stepping stone towards graduate school in physics, engineering, and astronomy for interested students. Our foundational classes help students build a strong background in modern physics, while our practical classes and labs offer a rigorous training in scientific inquiry, creative thinking, and leading-edge research tools used throughout STEM fields such as Python programming, supercomputing, and machine learning. Our faculty members conduct high impact research in fields such as astrophysics and quantum physics, giving our students the opportunity to join research labs where they get paid, hands-on experience on real research projects, often in collaboration with PhD and Master students.
Previous students have conducted projects on galaxy evolution, cosmic hydrodynamics, and quantum telecommunication.
Our graduates have been accepted into selective PhD programs in physics, applied science, and astronomy at institutions such as Harvard, Rutgers University, Rochester Institute of Technology, New Jersey Institute of Technology, and the CUNY Graduate Center, among others.
Learning Outcomes
The program’s curriculum is designed for students to achieve the following learning outcomes:
The ability to clearly communicate complex scientific ideas both verbally and in written form
An appreciation of how the scientific method is built upon testable hypotheses and experimental evidence
A concrete foundation in basic physics, including mechanics, electromagnetism, quantum mechanics, and thermodynamics
The ability to develop a set of mathematical, problem-solving, and computer programming skills
The ability to model and simulate a large number of different types of physical systems and formulate predictions using semi-analytical and computational techniques and data analysis
An awareness of the underlying assumptions and limitations of various approximation schemes and certain computational algorithms
The ability to identify and apply research ethics and unbiased assessment in gathering and reporting scientific data and in the analyses of results of modeling and simulations
An awareness of the ethical, societal, legal, and other personal aspects of being a professional
Advisement Information
Curious about the bachelor in Applied Computational Physics? Please reach out to the program coordinator Andrea Ferroglia, aferroglia@citytech.cuny.edu. We can set up an appointment either in person or online to answer all of your questions.
Explore the Physics Department on the City Tech website.
Requirements
Students applying for admission must meet the college standards for admission into a baccalaureate program. High school coursework in physics will be helpful but is not required. Students who do not have the mathematics background required to enroll in MAT 1475 (Calculus I) but who meet other admission requirements can use the program elective credits to complete the pre-requisite courses.
Students transferring to the Applied Computational Physics program must have:
A minimum cumulative GPA of 2.5 or higher
At least one semester of college-level English composition
At least one semester of calculus (i.e. a course equivalent to MAT 1475)
Transfer students lacking any of these criteria must seek the approval of the Program Director. College coursework in physics will be useful for applicants but is not required for admission.
Some courses that are required for the major also meet general education requirements. Choosing to take advantage of double duty can speed up progress toward graduation and increase elective credits. In DegreeWorks, a double duty course displays and fulfills both requirements, but the credits count only once; the elective area will adjust automatically. Specific options for double duty courses may be listed here or noted in the degree map below.
Bachelor's degrees and AA and AS degrees require six flexible common core courses: at least one course in each of the five flexible core areas and an additional sixth course in one of them. Students can complete no more than two courses from any one area.
All baccalaureate students starting at City Tech or transferring in with 30 or fewer credits, in addition to the common and flexible core courses, will also complete the following 12 credits: one course in speech/oral communication; one interdisciplinary course; and two additional liberal arts courses or, in BTech programs, additional liberal arts credits to reach a minimum total of 42 credits in general education.
In meeting general education requirements overall, students must take at least one advanced liberal arts course or two sequential courses in a world language. An advanced course is at the 2000 level or higher and has a prerequisite in the same or a closely related discipline. Examples of courses with prerequisites in closely related disciplines are: ECON 1101 and SOC 3301; PSY 1101 and SOC 2403. Transfer students with more than 30 earned credits or a prior degree have modified college option requirements, as noted on the Transfer Credit page.
Students at New York City College of Technology must complete two courses designated writing intensive (WI) for the associate level, one from general education requirements and one from the major; and two additional courses designated WI for the baccalaureate level, one from general education and one from the major. Transfer students and those who have earned a prior degree may have part of this requirement waived. Please consult the Degree Requirements page for additional information.
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Take free electives as needed to equal 120 credits. A list of suggested courses is below. Consult a faculty advisor for help identifying the most suitable elective courses among or beyond these suggestions.
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A recommended semester-by-semester plan for full-time students.