Manually sifting through vast amounts of data to uncover insights is a challenge. By applying generative artificial intelligence to classify and categorize data, you can streamline this process and free up more time for strategic decision making. Acquire essential skills, such as: AI prompting techniques Analytical thinking Data classification and summarization Generative AI IBM Granite and Large Language Models Problem solving Text classification Earn an industry-recognized Digital Credential and an IBM Certificate Learners who successfully complete the GLE receive two IBM SkillsBuild Digital Stickers, a Data Classification and Summarization Using IBM Granite Digital Credential issued and verified by Credly, and an IBM SkillsBuild Certificate. Enrollment window: Sept 8th – Sept 26th, 2025 at:  https://skills.yourlearning.ibm.com/activity/PLAN-56758A4E041D?ngo-id=0302&utm_campaign=aca-handshake Course starts: Sept 29th, 2025 Hours: 13.5 (7h self-paced content + 6.5hours of optional live sessions)

Generative AI is making coding and app development more accessible for everyone. Learn how to use generative AI for code generation, troubleshooting, and optimization. Acquire essential skills, such as: AI prompting techniques Analytical thinking Code generation and optimization Generative AI IBM Granite Large Language Models Problem solving Earn an industry-recognized Digital Credential and an IBM Certificate Learners who successfully complete the GLE receive two IBM SkillsBuild Digital Stickers, a  Code Generation and Optimization Using IBM Granite Digital Credential issued and verified by Credly, and an IBM SkillsBuild Certificate. Enrollment window: Sept 8th – Sept 26th, 2025 at: https://ibm.biz/Bdnb6S Course starts: Sept 29th, 2025 Hours: 12.5 (6h self-paced content + 6.5hours of optional live sessions)

Are you eager to jump start learning about potential RSM career opportunities? Our one-day Pathways virtual experience is an opportunity for you to engage in life at RSM before the job - learn about potential careers, explore our culture, networking opportunities, and gain insights on what to expect as a future RSM colleague!  Event details:  Date: Friday, Oct. 3rd, 2025 Eligibility: Currently enrolled in an accredited degree/diploma program, with expected completion within the next two or more years. Pursuing a degree related to accounting, business or IT (information systems, computer science, analytics, supply chain. etc.). Pursuing a degree related to accounting, business or IT related (information systems, computer science, analytics, supply chain etc.) Flexibility: Enjoy the flexibility of the RSM Pathways program, designed to accommodate your schedule. Feel free to join or leave sessions as needed to balance your class and work commitments. What to expect:    Discover potential careers: Explore opportunities in assurance, tax and consulting. Network with professionals: Connect with RSM professionals from across the U.S. and Canada. Internship insights: Get an inside look at the RSM internship experience and learn how to start the early application process. Experience our culture: Immerse yourself in our unrivaled, inclusive culture and get to know our firm. Submit your interest: Complete the form to submit your interest! Provide information such as your anticipated associate (full-time) start season, major/minor and school to ensure this experience aligns with your academic journey.

The Department of Mathematics & Statistics with support from the Center for Career Education, is pleased to present a Life After Vassar (LAVA) Talk on Applied Mechanics featuring Anthony Cheng '23. Anthony Cheng '23 studied applied math, competed on the varsity swim team, and played trumpet in the symphony orchestra while at Vassar. He also enrolled in Darthmouth's engineering dual-degree program, studying mechanical engineering with a focus in dynamical systems. He continued at Dartmouth for another year of graduate research in fluid mechanics applied to glaciology contexts and defended his master's thesis in July 2025. Now, Anthony has started a PhD program at UPenn in Mechanical Engineering and Applied Mechanics, with a focus in fluid mechanics applied to urban wind pattern sensing and reconstruction.