Past Events
Explore events and happenings in the College of Natural Sciences.
Jun
22
2025
H-E-B Free Fourth Sunday
Enjoy FREE museum admission all day during H-E-B Free Fourth Sundays, held the fourth Sunday of every month.
1:00 pm – 5:00 pm • In Person
Jun
20
2025
Astronomy Afternoon
Explore the science of spectroscopy at Texas Science & Natural History Museum in its special exhibit, Big Eye on Dark Skies, featuring a scale model of the Hobby-Eberly Telescope.
2:00 pm – 3:00 pm • In Person
Jun
13
2025
Astronomy Afternoon
Explore the science of spectroscopy at Texas Science & Natural History Museum in its special exhibit, Big Eye on Dark Skies, featuring a scale model of the Hobby-Eberly Telescope.
2:00 pm – 3:00 pm • In Person
Jun
12
2025
Staff Celebration Galaxy Brunch
Enjoy a galaxy-themed brunch, door and raffle prizes, camaraderie with your peers and the presentation of the latest Staff Excellence Awards.
9:30 am – 11:30 am • In Person
Jun
6
2025
Astronomy Afternoon
Enjoy a live, hands-on demonstration in the Big Eye on Dark Skies exhibit at the Texas Science & Natural History Museum.
2:00 pm – 3:00 pm • In Person
May
28
2025
Live Deep Sky Tour: Galaxies
Join in for live views of an array of spiral galaxies from the dark skies at McDonald Observatory.
9:15 pm • Virtual
May
25
2025
H-E-B Free Fourth Sunday
Enjoy FREE museum admission all day during H-E-B Free Fourth Sundays, held the fourth Sunday of every month.
1:00 pm – 5:00 pm • In Person
May
22
2025
Astronomy Uncorked: Shedding Light on Dark Matter
Join Astronomy Uncorked for a relaxed evening, learning a little astronomy over a glass of wine.
6:30 pm • In Person
May
19
2025
Musical Memories featuring Nina Bernat & Friends
Come and enjoy a mid-day musical break at this free concert with double bassist Nina Bernat and friends.
12:00 pm – 1:00 pm • In Person
Speaker(s): Nina Bernat, Colette Valentine, Patrice Calixte, and Douglas Harvey
May
19
2025
Machine Learning for Life Sciences Researchers
This hands-on program takes attendees through the fundamentals of machine learning to cutting-edge deep learning techniques.
9:00 am – 4:00 pm • In Person