Friday, May 31, 2019

Master of Actuarial Science (MACTSC) 10th Anniversary

MACTSC 10th Anniversary Banner

In 2019, the Master of Actuarial Science (MActSc) professional degree program will be celebrating 10 wonderful years at the University of Waterloo. 

MActSc is an internationally renowned program in actuarial science and risk management, and is located within the Department of Statistics and Actuarial Science. This fast track professional program is only offered to the best and brightest students from around the world. Once accepted these students receive one-on-one interpersonal training from prominent faculty in the field of actuarial science. After 10 rigorous and demanding years, staying on the cutting edge of the industry and training the most elite in this field, the MActSc program will be celebrating by hosting a banquet dinner on May 31, 2019. 

This event will be great opportunity for past and current students, faculty, and industry supporters to celebrate their hard work over the past decade.     

Friday, November 23, 2018

Inspiring Student - Tianyi Liu

Tianyi Liu

MQF is such a great program. It’s a good combination of studying, researching, and finding a job – doing an internship.

Tianyi Liu, Master of Quantitative Finance student

A graduate of Waterloo’s undergraduate mathematical finance program, Tianyi was a natural fit for the Master of Quantitative Finance program. He knew many of his professors, and appreciated the computing facilities and the support of his department.

Monday, November 19, 2018

The Vector Institute recognizes MMath Data Science for Artificial Intelligence Scholarship

Vector Institute logo
Source: Vector Institute for Artificial Intelligence

There are currently eight programs recognized by the Vector Institute for Artificial Intelligence for ensuring that master’s graduates are equipped with the knowledge, skills and competencies sought by industry.  The Department of Statistics and Actuarial Science's Master of Mathematics (MMath) Data Science Specialization is one of the few recognized programs. 

The Vector Institute (Vector) has been tasked with supporting Ontario’s growing AI eco-system by aiding Ontario’s AI companies and labs source talent. This will be achieved through a combination of three primary activities: talent placement via internships; networking and AI community building; and, applied AI education.

A primary goal associated with applied AI education is to increase enrolment and the number of graduates from AI-related master’s programs. To support universities in achieving this goal, Vector has introduced the Vector Scholarships in Artificial Intelligence (VSAI) to recognize top students enrolled in AI-related master’s programs. 

The VSAI are expected to enhance recruitment of top tier students, increase the number of applicants to recognized AI programs, increase access to advanced studies in AI, and build community among scholars.

Wednesday, November 14, 2018

Carbon emissions will start to dictate stock prices

Companies that fail to curb their carbon output may eventually face the consequences of asset devaluation and stock price depreciation, according to a new study out of the University of Waterloo.

The researchers further determined that the failure of companies within the emission-intensive sector to take carbon reduction actions could start negatively impacting the general stock market in as little as 10 years’ time.

Friday, October 19, 2018

Undergraduate Student Research Awards (USRA)

DEADLINE for Winter 2018 is October 19, 2018

The Undergraduate Student Research Awards (USRA) are sponsored by the Natural Sciences and Engineering Research Council (NSERC) of Canada.  The Department of Statistics and Actuarial Science has 6 awards available for Winter 2019 term.

This award allows you to conduct research in a university environment full time for a term. The goal is to stimulate your interest in research and to encourage students to enroll in graduate studies in Statistics and Actuarial Sciences.  If you would like to gain research work experience that complements your studies in an academic setting, this award provides you with financial support.

Continue reading on the USRA page

Tuesday, October 16, 2018

The Department of Statistics and Actuarial Science is pleased to welcome research Assistant Professor Alla Slynko as of October 1, 2018

Alla Slynko is a definite term research Assistant Professor. She received her PhD in Mathematics from a joint program of the Berlin University of Technology, TU Munich and the University Mannheim in 2010. More recently she was an Associate Professor of Mathematics and Statistics at the Ulm University of Applied Sciences. Her research interests include the broad area of biostatistics.

Thursday, September 27, 2018

Ali Ghodsi Named a 2018 Vector Faculty Affiliate

Vector Institute Logo

Statistics and Actuarial Science professor and director of the Data Analytics Lab Ali Ghodsi has been named a 2018 Vector Institute Faculty Affiliate.

Thursday, September 20, 2018

It is with great pleasure that the Department of Statistics and Actuarial Science at the University of Waterloo welcomes Professor Jeroen de Mast.

Jeroen de Mast is a visiting full professor who will be in Waterloo every Fall term for the next number of years. He received his PhD in Industrial Statistics from the University of Amsterdam in 2002 and until recently was also a professor in the Business School at the University of Amsterdam.

Thursday, September 20, 2018

The Department of Statistics and Actuarial Science is pleased to welcome Assistant Professor Peijun Sang as of September 1, 2018

It is with great pleasure that the Department of Statistics and Actuarial Science at the University of Waterloo welcomed Assistant Professor Peijun Sang.

Peijun (Perry) Sang is a tenure-track assistant professor. He received his PhD in Statistics from Simon Fraser University in 2018. His research interests include functional data analysis, high dimensional regression, copula modeling and risk analysis.

Tuesday, August 14, 2018

The perceptions of retirement could have negative impacts

Professors Mary Hardy and David Saunders

Not only do Canadians nearing retirement or already retired expect to work longer, but a majority of them believe they’ll have low liquid retirement assets.

PhD candidate Saisai Zhang and professors Mary Hardy and David Saunders conducted the 2016 Ontario Retirement Survey (ORS). The report examines the retirement concerns and risk preferences of 1,000 randomly selected Ontario pre-retirees and retirees aged 50 to 80.

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