ICT Help Desk serves as our point of contact for all operational issues and general queries.
Located in room W2051 of the Marine Institute’s Ridge Road Campus
Telephone: 709-778-0628 Email: servicedesk@mi.mun.ca
Ask ICT Help Desk on Microsoft Teams (8:30am - 4:30pm)
It's time to start planning your future
Our Student Recruitment Office is your first point of contact to find out more about the Marine Institute.
Master’s Degree
Stock Assessment
View Memorial University Calendar
Program at a Glance
Fall Admission: May 15 | Winter Admission: September 15 | Spring Admission: January 15
To apply complete the online application. Be sure to review the application instructions for Memorial University’s School of Graduate Studies.
Apply as early as possible. For application deadlines please see the specific program.
The degree of Master of Science in Fisheries Science (Stock Assessment) is a full-time, research-focused Master’s degree offered by the Marine Institute’s School of Fisheries. This program is for students who aim to pursue a career in stock assessment, a discipline within fisheries science.
Stock assessment professionals use data derived from many sources to construct statistical models that inform us about biomass of organisms in the ocean and how many can be caught sustainably. While stock assessment professionals must have many of the same proficiencies as other fisheries scientists, they have an additional requirement of being experts on the mathematics and statistics that underpin this heavily quantitative field.
Visit the Memorial University Academic Calendar for complete program requirements.
Admission is limited and competitive. Students must demonstrate commitment from a Marine Institute Research Scientist to supervise and fund their research.
To be considered for admission to the program, an applicant will normally possess a high second-class Honours degree or an M.D. degree, or the equivalent of either, both in achievement and depth of study from an institution of recognized standing.
Applicants must be able to demonstrate a satisfactory knowledge of mathematics, statistics and scientific computing.
Any other applicant may be considered for admission provided that:
View full admission requirements.
Potential Careers
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