• icon representing machine learning with half human and half computer brain in a silvery gray

    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 2

    Academy Type: Residential, overnight

    Eligibility: Students entering 9th-12th grade (Fall 2024)

    Prerequisites: All skill levels welcome

    Credit: Academy certificate

    Tools: Python

Summer 2024 Enrollment Now Open!

Secure Your Spot Today! Enroll in our specialized summer academies and dive into a world of knowledge and skill development. Limited seats available, so act fast to guarantee your place!

To enroll, click the "Enroll Now" button above. Choose "Guest Login" to log in or create a new account.

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.

Enrollment for Summer 2024 Now Open!

Secure your spot today for a transformative journey in our summer academies—enroll now and seize the opportunity for knowledge and skill development while seats last!

Can't find the answer you're looking for? Join our email list! Reach out to us!

  • facebook icon
  • facebook icon