Advising for first year students

Students already in progress of their BA degree need to register for your 2017-2018 courses before seeing the Academic Advisor, Tanya Pitt in Oland Hall, Ground Floor, Room 12. The Academic Advisor will not select your courses for you but is here to guide you through gathering the information needed so you successfully complete your degree. Registration for continuing UNB students for the 2018 Winter (18/WI) term is on-going until Friday, January 12, 2018 at 11:59pm.

The last day to add or drop a 17/FA term-course was Friday, September 15, 2017 by 11:55pm. The add/drop date for Fall and Winter terms is the 2nd Friday of classes.

The last day to withdraw (W) from 17/FA term-courses without academic penalty is Monday, October 30, 2017 by 11:55pm. A "W", meaning withdraw, will appear in the grade grade column beside the course but the "W" in no way affects your Grade Point Average (GPA).  

Students are advised during Open Office Hours (except the first two weeks of the Fall and Winter terms). Open Office Hours means that students are seen on a first to arrive - first to be advised basis as appointments are not taken. Remember to bring an updated copy of your unofficial UNB transcript with you, which you can get through your e-services under the academic tab.

Regular Open Office Hours for the 17/FA term from Monday, September 18 to Tuesday, December 19 are as follows:

  • Monday 9:00am - 11:20am

  • Tuesday 1:30pm - 3:50pm

  • Thursday 9:00am - 11:20am

Open Office Hours will be cancelled on the following day(s):

  • Tuesday, October 31, 2017 - Tuesday, November 21, 2017

Due to asthma and allergies please refrain from smoking and wearing perfume, cologne, deodorant, after shave, body sprays, and other scented products when you come to the office for advising. Thank you.

If you email Tanya please be sure that you include your name, student number and your career/educational goals along with the list of courses that you are registered for. The Academic Advisor will look your selections over and make recommendations based on all of this information.