News > 2019 > Research scholarships in data science for five of our students

Research scholarships in data science for five of our students

September 18, 2019

Four HEC Montréal PhD and Master’s students have been chosen to take part in the NSERC–CREATE Program on Machine Learning in Quantitative Finance and Business Analytics (Fin-ML CREATE).

The scholarships are worth $17,500 for the Master’s students and $20,000 for the PhD students, and include at least $10,000 in remuneration for an industrial internship of about 12 weeks.

This multidisciplinary program aims to form a new generation of finance professionals to meet modelling and implementation needs and challenges in the Canadian quantitative financial industry, and to facilitate students’ integration into the job market.

Students are selected through competitions at six universities: HEC Montréal, Université de Montréal, Concordia University, University of Waterloo, Queen’s University and University of Calgary.

 

Recipient
Supervising professor
Program

Jérémi DeBlois-Beaucage

Laurent Charlin

Maîtrise en gestion (MSc) – intelligence d’affaires

Audrey Leduc

Denis Laroque

Maîtrise en gestion (MSc) – intelligence d’affaires

Rémi Galarneau Vincent

Geneviève Gauthier

Doctorat en administration (PhD) – ingénierie financière

Ahmadreza Tavasoli

Michèle Breton

Doctorat en administration (PhD) – ingénierie financière

 

IVADO scholarships

One of our MSc students has also received an IVADO Excellence Scholarship for a research project.

These scholarships, worth up to $20,000 per year for a maximum of six sessions or two years, are awarded by the Institute for Data Valorization (IVADO).

The objective of this program is to help promising students become players in the field of data science or researchers, professors or professionals. Scholarship recipients must specialize in one of the fields of excellence of IVADO members, i.e. operational research, machine learning or management sciences.

 

Recipient
supervising professor
Program

Enora Georgeault

Marie-Ève Rancourt

Master of Science (MSc) – Data Science and Business Analytics