{"id":15767,"date":"2024-05-28T14:55:54","date_gmt":"2024-05-28T19:55:54","guid":{"rendered":"https:\/\/datascience.uchicago.edu\/?post_type=pt_news&p=15767"},"modified":"2024-05-28T14:55:54","modified_gmt":"2024-05-28T19:55:54","slug":"a-day-at-google-for-uchicagos-ms-in-applied-data-science-students","status":"publish","type":"pt_news","link":"https:\/\/datascience.uchicago.edu\/news\/a-day-at-google-for-uchicagos-ms-in-applied-data-science-students\/","title":{"rendered":"A day at Google for UChicago’s MS in Applied Data Science students"},"content":{"rendered":"

Thirty students from the University of Chicago’s MS in Applied Data Science program<\/a> embarked on an exciting adventure on May 20th:\u00a0a visit to the Google office. This trip was a reward for their completion of the Career Course, a class designed to equip students with the skills and knowledge to navigate the job market.<\/p>\n

The day started with a fun icebreaker \u2013 students introduced themselves and shared their favorite Google product.\u00a0The range was impressive,\u00a0from everyday tools such as Google Calendar to cutting-edge data science solutions like the recently launched large language model Gemini.\u00a0Next,\u00a0students got an insider’s perspective through presentations from seven Googlers,\u00a0each detailing their typical workday experiences.<\/p>\n

The highlight for many students was access to Google Labs<\/a>,\u00a0a digital playground for experimenting with the latest AI tools and testing hypotheses.\u00a0Students explored projects such as Generative AI with Vertex AI and Multimodal Retrieval Augmented Generation (RAG) using the Vertex AI Gemini API.<\/p>\n

To wrap up the visit,\u00a0students toured the Google office,\u00a0complete with well-stocked snack rooms,\u00a0an arcade for work breaks, and a unique workspace \u2013 an old CTA train car on the rooftop, equipped with Wi-Fi!<\/p>\n

\"UChicago<\/p>\n

Student perspective<\/strong><\/h4>\n

The trip left a lasting impression on the students. Jean-Sebastien Gaultier, a current student in the program, said: \u201cThe invitation to Google was a great surprise! Meeting professionals in different sectors of Google Cloud gave me a great idea of the inner workings of Google. The amazing office spaces further enhanced the experience. Working in a 10-story building dedicated to collaboration is inspiring \u2013 who wouldn\u2019t want to work at Google after seeing the office?\u201d<\/p>\n

Another student, Pamela Gonzalez Muniz, found the Google AM\/ML Solutions presentation particularly captivating. “Learning that so many of today’s leading AI technologies originated at Google was fascinating.” She went on to say that gaining insights into future trends and tools was invaluable. What surprised Gonzalez Muniz the most was the well-rounded nature of Google’s employee roles. She noted that all of the presenters possessed strong technical skills, business acumen, and excellent interpersonal abilities.<\/p>\n

 <\/p>\n

\"UChicago<\/p>\n

A day to remember<\/strong><\/h4>\n

The trip to Google offered UChicago’s MS in Applied Data Science students a unique opportunity to connect with industry leaders, explore cutting-edge technology,\u00a0and experience the vibrant Google culture.\u00a0This unforgettable experience is sure to inspire and motivate the students as they launch their data science careers.<\/p>\n","protected":false},"featured_media":15770,"template":"","approaches":[],"applications":[],"news_types":[2434],"yst_prominent_words":[618,776,153,230,967,306,151,1646,751,311],"acf":[],"_links":{"self":[{"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/pt_news\/15767"}],"collection":[{"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/pt_news"}],"about":[{"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/types\/pt_news"}],"version-history":[{"count":5,"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/pt_news\/15767\/revisions"}],"predecessor-version":[{"id":15788,"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/pt_news\/15767\/revisions\/15788"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/media\/15770"}],"wp:attachment":[{"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/media?parent=15767"}],"wp:term":[{"taxonomy":"approaches","embeddable":true,"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/approaches?post=15767"},{"taxonomy":"applications","embeddable":true,"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/applications?post=15767"},{"taxonomy":"news_types","embeddable":true,"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/news_types?post=15767"},{"taxonomy":"yst_prominent_words","embeddable":true,"href":"https:\/\/datascience.uchicago.edu\/wp-json\/wp\/v2\/yst_prominent_words?post=15767"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}