Dual Enrollment

Take real college-level courses while in high school

Application Available

May 15 – Jun 15

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Dual Enrollment

Want a jump start on college-level classes before completing high school? Georgia Tech’s Dual Enrollment program makes it possible. Students choose from a range of subjects, including math, physics, computing and other STEM disciplines, while gaining early exposure to the rigor and expectations of a top tier research university.

Those who successfully complete a course receive Georgia Tech college credit, which is a tangible advantage when planning college and career goals. Students also gain problem solving, time management and critical thinking skills that will serve them well no matter what path they choose.

Program Format

The program uses a blended format that combines recorded lectures with live virtual sessions. This helps students balance dual-enrollment courses with the rest of their class schedule.

During live lectures, office hours, and exam preparation sessions, students can interact in real time with Georgia Tech professors and teaching assistants.

It’s an engaging introduction to the college learning experience — one that challenges students to think and perform at the next level, while also getting a head start on their goals.

Current Courses

For details about our Distance Math, Distance Psychology, Distance Physics, Distance Engineering and Distance Computer Science dual-enrollment courses, keep reading.

Application and Admission

Math

AP Calculus BC course with exam score of 4 or 5, or dual enrollment courses that transfer as MATH 1551 and MATH 1552
Two college-level courses completed (AP, DE, IB)
3.5 unweighted GPA
3.5 unweighted math GPA

Review Application Requirements

Computer Science

Distance Math Year One
3.5 unweighted GPA
3.5 unweighted math GPA

Review Application Requirements

Engineering

Dual enrollment courses that transfer as MATH 1554 and MATH 2551

Psychology

PSYC 1101 or AP Psychology course with 4 or 5 on the exam
Precalculus (concurrent or completed)
Two college-level courses completed (AP, DE, IB), preferably at least one in math or science
3.5 unweighted GPA
3.5 unweighted math GPA

Physics

Dual Enrollment courses that transfer as 1552
PHYS 2211 (in order to take PHYS 2212)

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Distance Math, Psychology, Physics and for Fall semester only. If you are admitted for fall semester, you may enroll in Spring semester courses pending satisfactory academic performance in the fall. Distance Computer Science admits students for Fall, Spring or Summer semesters. This program includes one-semester courses and students may take one or more.

Applications Open

May 15 to June 15 for Fall Semester (Distance Math, Psychology, Physics, Engineering and Computer Science)
September 16 to October 24 for Spring Semester (Distance Computer Science only)
March 1 to March 31 for Summer Semester (Distance Computer Science only)

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Students who are offered admission must submit the following enrollment documents:

Official SAT or ACT and AP scores, if not previously submitted
Student Participation agreement
Dual Enrollment funding application completed online
Verification of lawful presence in the United States
Immunization records (only for students taking dual enrollment classes on the main Tech campus)
Class Schedule Planning Form (only for students taking dual enrollment classes on the main Tech campus)

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Courses

Course	Course Name	Fall	Spring	Summer	Proctor Method
DISTANCE MATH
MATH 1554	Linear Algebra	X			In-person
MATH 2551	Multivariable Calculus		X		In-person
MATH 3012	Applied Combinatorics	X			In-person
MATH 2552	Differential Equations		X		In-person
DISTANCE COMPUTER SCIENCE
CS 1301	Introduction to Computing	X	X	X	Honorlock**
CS 1331	Introduction to Object Oriented Programming	X	X	X	In-person**
**Note: CS proctors the two courses differently
DISTANCE PHYSICS
PHYS 1111K	Introductory Physics	X	X		In-person
PHYS 2211	Principles of Physics I	X			In-person
PHYS 2212	Principles of Physics II		X		In-person
DISTANCE PSYCHOLOGY
PSYC 1101	Introduction to General Psychology	X	X		Honorlock
PSYC 2103	Human Development Over the Life Span	X	X		Honorlock
PSYC 2210	Social Psychology	X	X		Honorlock
PSYC 3009	Health Psychology	X	X		Honorlock
DISTANCE ENGINEERING
ISYE 3770	Statistics and Applications	X			In-person

MATH 1554 is a four-credit course that introduces students to linear algebra. Students will explore fundamental concepts of this subject that has an essential role in applications of linear algebra to many areas of industry, science, and engineering. We will explore systems of linear equations and a systematic method for solving them, subspaces, determinants, eigenvalues, orthogonality, and the singular value decomposition. Applications of linear algebra to computer graphics, economics, Google PageRank, and least-squares.

MATH 2551 is a four-credit course that extends concepts that students encountered in linear algebra and differential and integral calculus to functions of several variables. This course explores the calculus of vector functions, derivatives, and integrals of functions of several variables, and integral theorems that are widely used in engineering and physics. Applications that are explored include constrained optimization, center of mass, Jacobians, line integrals, circulation, and flux.

MATH 3012 is a three-credit course that explores counting methods, solving linear recurrences, graph and network models, related algorithms, and combinatorial designs. Applications that are explored include sorting, spanning trees, shortest paths, Eulerian circuits, graph coloring, planarity testing and network flows. Students will explore fundamental concepts and algorithms in computer science and engineering that have applications in complex practical problems in areas such as scheduling, vehicle routing, supply-chain optimization, and resource allocation. A final project gives students an opportunity to explore the application of applied combinatorics to a topic of their choice.

MATH 2552 is a four-credit course that focuses on the techniques used to model and analyze relationships between changing quantities. As rates of change are often represented mathematically by derivatives, such models often involve equations relating an unknown function and one or more of its derivatives. Such equations are differential equations, which are the focus of this course. Students will apply techniques of solving differential equations to solve first and higher order differential equations that model spring-mass systems, heat flow, mechanics, and population biology. A final project gives students an opportunity to explore the application of differential equations to a topic of their choice.

This introductory computer science course teaches students foundational computing principles, including how to write and read computer code and how to run and debug code. This innovative online course includes recorded lectures, optional recitations, and online discussion forums. Students learn to program in Python. They take four proctored exams at the time of their choosing, each within its own four-day window.

If students receive credit at Georgia Tech with a score of 4 or 5 on the AP Computer Science A exam, this is the course for which they get credit.

The CS 1301 course covers the following topics:

The fundamental design cycle of computer science and computer programming: writing code, executing it, interpreting the results, and revising the code syntax based on the outcomes.
Usage of the fundamental atoms of programming: variables, mathematical operators, logical operators, and boolean arithmetic.
Control structures for developing dynamic programs, including Python libraries: conditionals, loops, functions, and error handling.
The core data structures for creating useful programs: strings, lists, dictionaries, and file manipulation.
Previews of the next big topics in computer science: object-oriented programming skills, and computer algorithms.

This course offers an introduction to techniques and methods of object-oriented programming such an encapsulation, inheritance, and polymorphism. Emphasis on software development and individual programming skills. Pre-requisite: CS 1301.

The CS 1331 course covers the following topics:

Foundational basics of the Java programming language
Basics of object-oriented programming and algorithms
Creating and using exceptions, data structures, recursion, and graphical user-interfaces (GUIs)

PHYS 1111 is an algebra-based introductory physics course that explores fundamental principles of mechanics and thermodynamics. It provides a comprehensive introduction to key concepts including kinematics, dynamics, work and energy, momentum, rotational motion, and heat transfer, using algebra and trigonometry as the primary mathematical tools. The course emphasizes core principles such as the Momentum Principle and the Energy Principle, helping students model and understand a wide range of physical phenomena. Laboratory components reinforce concepts through experimentation, data analysis, and scientific reasoning.

Prerequisites

MATH 1552

Exams

This course will have 3 tests during the semester and 1 final exam. The exams will be given on paper and proctored in person.

Course Format, Synchronous and Asynchronous Hours

This course will consist of 3 asynchronous hours and 2 (required) synchronous 1-hour sessions weekly. Synchronous hours will be on Tuesdays and Thursdays at 8:30 am. Asynchronous hours can be scheduled at the school’s discretion.

PHYS 2211 emphasizes the atomic nature of matter and integrates traditional mechanics with thermal physics. There is strong emphasis on the Momentum Principle (Newton's Second Law), the Energy Principle (the first law of thermodynamics), and the Angular Momentum Principle. The main goal of this course is to have students engage in a process central to science: the attempt to model a broad range of physical phenomena using a small set of powerful fundamental principles. To aid in this goal, students will develop computational models that predict the motion of interacting objects. The course also emphasizes the atomic structure of matter, especially the ball and spring model of solids, and photon emission and absorption in quantized systems. This is a calculus-based course.

Prerequisites

MATH 1552

Exams

This course will have 3 tests during the semester and 1 final exam. The exams will be given on paper and proctored in person.

Course Format, Synchronous and Asynchronous Hours

The course will consist of 3 1-hour asynchronous sessions, 1 required 2-hour synchronous (live) session, and 1 optional 2-hour synchronous (live) session to cover lectures, problem sessions, and labs. Asynchronous hours can be scheduled at the school’s discretion. For the required synchronous (live) session, the students will choose ONE of the following options at the time of registration: Mon 8:30-10:30am, Mon 6-8pm, Tue 8:30-10:30am, Tue 6-8pm. These sessions will cover lab discussions and problem-solving studios. The optional live session will be on Wednesdays 8:30-10:30am for all students and will be led by the course instructor.

PHYS 2212 covers electric and magnetic interactions, which are central to the structure of matter, to chemical and biological phenomena, and to the design and operation of most modern technology. The main goal of this course is to have you engage in a process central to science: the attempt to model a broad range of physical phenomena using a small set of powerful fundamental principles. The specific focus is an introduction to field theory, in terms of the classical theory of electricity and magnetism. To aid in this goal, you will develop computational models to visualize these fields and the interaction of charged particles. These models will be made using the Visual Python programming language. The course also emphasizes the atomic structure of matter, especially the role of electrons and protons in matter. This is a calculus-based course.

Prerequisites

PHYS 2211

Exams

This course will have 3 tests during the semester and 1 final exam. The exams will be given on paper and proctored in person.

This introductory course gives students a broad overview of psychology, covering topics such as research methods, brain and behavior, development, learning, memory, and mental health. It serves as the prerequisite for all other psychology courses and is equivalent to the AP Psychology exam credit awarded at Georgia Tech. This foundational course supports career paths in virtually any people-focused field, including mental health counseling, social work, medicine, education, human resources, and marketing.

Prerequisites

Precalculus (concurrent or completed)
Two college-level courses completed (AP, DE, IB), preferably at least one in math or science
3.5 unweighted GPA
3.5 unweighted math GPA

Exam Proctoring Method: Online proctoring (Honorlock)

This course explores how children grow and change from conception through adolescence, examining physical, cognitive, and social-emotional development through a research-based lens. Relevant career paths include early childhood education, pediatric medicine and nursing, school counseling, child life specialist, speech-language pathology, and family social work.

Prerequisites

PSYC 1101 or AP Psychology course with 4 or 5 on the exam.
Precalculus (concurrent or completed)
Two college-level courses completed (AP, DE, IB), preferably at least one in math or science
3.5 unweighted GPA
3.5 unweighted math GPA

Exam Proctoring Method: Online proctoring (Honorlock)

This upper-level course explores the intersection of psychological science and physical health, looking at how biological, social, and psychological factors shape well-being and illness. It's an excellent option for students considering careers in healthcare administration, patient advocacy, public health, medicine, clinical psychology, and health education and promotion.

Prerequisites

PSYC 1101 or AP Psychology course with 4 or 5 on the exam
Precalculus (concurrent or completed)
Two college-level courses completed (AP, DE, IB), preferably at least one in math or science
3.5 unweighted GPA
3.5 unweighted math GPA

Exam Proctoring Method: Online proctoring (Honorlock)

This course covers probability and core statistical methods used across business, engineering, and computing (probability distributions, estimation, confidence intervals, hypothesis testing, regression, and ANOVA). Students use R/RStudio and complete a real-world data analysis project (team-based, with a short writing component), giving them a concrete portfolio item and practical data skills.

Counts toward Probability/Statistics requirements in many engineering/computing pathways (degree-relevant credit).
Emphasizes real applications and data-driven decision-making.
Includes hands-on statistical computing with R/RStudio.
Project-based: students analyze real data and communicate results.

Prerequisites

MATH 1554 and MATH 2551

Exam Proctoring Method: In-person proctoring at the school

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Dual Enrollment

Application Available

Dual Enrollment

Program Format

Current Courses

Application and Admission

Courses

Distance Math Courses

DISTANCE COMPUTER SCIENCE COURSES

Distance Physics Courses

Distance Psychology Courses

Distance Engineering Courses

Eager to get started on your college education?

Dual Enrollment

Application Available

Dual Enrollment

Program Format

Current Courses

Application and Admission

Courses

Distance Math Courses

MATH 1554: Linear Algebra

MATH 2551: Multivariable Calculus

MATH 3012: Applied Combinatorics

MATH 2552: Differential Equations

DISTANCE COMPUTER SCIENCE COURSES

CS 1301: Introduction to Computing

CS 1331: Introduction to Object-Oriented Programming with Java

Distance Physics Courses

Physics 1111: Introductory Physics

PHYS 2211: Principles of Physics I

PHYS 2212: Principles of Physics II

Distance Psychology Courses

PSYC 1101: General Psychology

PSYC 2103: Human Development

PSYC 2210: Social Psychology

PSYC 3009: Health Psychology

Distance Engineering Courses

ISYE 3770: Statistics and Applications

Eager to get started on your college education?