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NCA January Programming

Created: January 9, 2018

Below is a list of the January career workshops NCA is offering. All of the following events are open to graduate students and postdoctoral fellows. You can register for these events in CareerCat using this link

Postdoctoral Fellows can request access to CareerCat by following the Alumni & Postdoc Access link.

CV to Resume Workshop (Chicago and Evanston campuses)

Thursday, January 11  | 2:30-3:30 PM | Lurie Gray Seminar Room (Chicago Campus) | Grad Students & Postdocs

Friday, January 12 | 2:30-3:30 PM | TGS Commons, (Evanston Campus)  | Grad Students & Postdocs

Articulate your experiences to hiring committees outside of your research field and turn your CV into a resume. Feel free to bring a draft of either your CV or resume to the workshop. No better time to start thinking through your professional narrative in resume-form than before the career fair!

Register for this event with NCA via CareerCat using this link. Search for Events>Workshops.


Case Interview Panel and Workshop

Tuesday, January 16 | 4:00-5:30 PM | 620 Lincoln, NCA Advising Center (Evanston Campus)  | Grad Students & Postdocs

 Come hear about the interview process from a panel of current Northwestern graduate students who will be starting this fall at BCG, McKinsey, and Navigant. There will be an informal Q&A session with panelists followed by small group breakout sessions to work through a case.

 This event will take place on the lower level of NCA's Advising Center. You can register for the event in CareerCat using this link.


Crafting Your Message to Employers

Friday, January 19 | 12:00-1:00 PM | TGS Commons, (Evanston Campus)  | Grad Students & Postdocs

Develop a strategy for approaching employers at this winter’s career fair. Think through your goals for the fair and practice speaking with recruiters and employers in general.


Data Science Resumes and Networking

Tuesday, January 30 | 12:00-1:30  PM | TGS Commons, (Evanston Campus)  | Grad Students & Postdocs

Learn how to articulate your skills when applying to data science positions. Additionally, we'll walk through online resources and provide tips for developing your online network

Professional Development