TRAIN YOUR OWN MACHINE LEARNING MODEL
LEARN FROM UT INSTRUCTORS
MAKE CORPORATE CONNECTIONS
Sparking Curiosity and Inspiration
Experience an enriching summer with our specialized Machine Learning Academy! Immerse yourself in Python programming, understand the fundamentals of machine learning, and explore its societal impacts. Engage in hands-on experiences, learning how machine learning works, writing code for your models, and exploring new technologies with professors and industry experts.
Academy Tuition: $2,100
Location: UT Austin Campus
2024 Dates: July 21 - 26 or July 28 - August 22
Academy Type: Residential, overnight
Eligibility: Students entering 9th-12th grade (Fall 2024)
Prerequisites: All skill levels welcome
Credit: Academy certificate
Tools: Python
What You'll Explore
Topics Covered:
- Python programming
- Understanding and implementing machine learning concepts
- Social impacts of machine learning
- Careers in tech and machine learning
- Project management
- Teamwork
Hands-On Experiences:
- Learn how machine learning works
- Write code to train your own machine learning model
- Delve into cool new technologies with professors and industry reps
- Discover future internship and career opportunities
- Identify tactics for a standout UT application from UT admissions
- Explore the UT campus and meet current UT students
Academy Experience
Where You'll Learn
This academy takes place on campus at the University of Texas at Austin. Students get a taste of university life by learning in the Gates Dell Complex – the home of UT Computer Science.
Where You'll Stay & Eat
You will stay in student residence halls on campus where you’ll be matched with another student by age as your roommate. You can look forward to trying out college residence hall food at breakfast, lunch, and dinner, which is included.
How You'll Be Supported
Our mentors help you get accustomed to learning on a college campus by staying in the same residence halls and accompanying you throughout your stay. Our academies boast an impressive 10:1 student to mentor ratio to make sure students are getting the most out of their time on campus.
Meet Your Academy Staff
Dr. Angela Beasley
Assistant Professor of Instruction
Department of Computer Science
Angie Beasley teaches data mining. Prior to teaching, she worked for 15 years as a software engineer on projects for the US Navy, including submarine sonar systems, periscope systems, unmanned underwater vehicles, radar systems, and radio and satellite communication systems. Angie received her M.S. in computer science with a concentration in machine learning from The George Washington University and her B.S. in computer science from The University of Texas at Austin.
Haley Wegner
Academy Director
Department of Computer Science
Haley is responsible for planning and executing the tuition-based summer academies, which introduce high school students to the exciting world of programming, robotics, iOS app development, and more. She has an extensive history working in higher education and youth programs.
Scholarships
Academy scholarships are available on a limited basis. Enrollees with financial need can apply for a scholarship by completing the scholarship application by May 1st.
Frequently Asked Questions:
The Academy for Machine Learning is hosted by the Department of Computer Science at The University of Texas at Austin in the Gates-Dell Complex. All activities are hosted on the UT Austin campus, which is where students will stay for the duration of the program.
Students entering grades 9-12 in Fall 2024 are eligible to register.
Students do not need to submit an application for the Academy for Machine Learning. Click the “Enroll now” button on the webpage and you will be walked through the enrollment process in the Ideal-Logic portal.
No programming experience? No problem! Our labs are designed to teach you to program or expand your programming skills to accomplish the project.
Students will explore programming in Python as they dive into the fundamentals of machine learning. They will learn from UT faculty and work alongside peers to implement machine learning concepts and discuss societal implications of the field.
Outside of lab time, students will attend guest speaker presentations, tour UT facilities, and join various social activities.
All UT Computer Science Summer Academies are led by UT Austin Computer Science faculty members. More information on each faculty member can be found in the Academy Staff section.
The cost of tuition for the 6-day immersive academy is $2,100. Housing, meals, instruction, and all educational and recreational activities are included in the cost.
Academy scholarships are available on a limited basis. Registrants with financial need can apply for a scholarship by completing the scholarship application, which will open on January 31, 2024 with registration for the Summer 2024 academies.
Students will stay in one of the residence halls on the UT Austin campus. To learn more about the UT Austin residence halls, visit: housing.utexas.edu/housing/residence-halls. Breakfast, lunch, and dinner are provided for the academy participants. Students will eat at one of the main dining halls on campus. Top 9 allergen-free meals are available. For more information on dining, visit: housing.utexas.edu/dining/dining-locations/dining-halls.
Each student will be assigned to a residence hall room with a roommate. Rooms are shared with another student of the same gender and all residence hall floors are split by gender. Each floor has counselors of the same gender as students on that floor. Please contact us with any specific questions.
Please email our team at academies@cs.utexas.edu and we will direct you to our Academy Accommodations Coordinator. Please be as specific as possible in your message so we can best assist you.
Academy participants are supervised at all times. Each participant will be placed into a group of around 10 students and will be supervised by a counselor 24 hours a day. Our daytime counselors, Program Assistants, provide supervision and help students in the computer lab and during programming activities. Our evening counselors, Resident Assistants, provide supervision and engage students in social activities and stay in the dorms overnight.
Typically, students have breakfast around 7:30 in the morning and begin their first activity at 8:30 am. From 8:30 am - 5:00 pm, students are either in the computer lab working on their group projects, taking a break for lunch, attending a guest lecture, or touring departments on campus. After dinner, students will participate in various social activities including bowling, movie night, basketball, and more. All academy participants return to their residence hall each night by 9:30 pm.
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