Msc in Data Science

at McGill University

Modules:
 

1. Framing the problem
 

• Domain knowledge

2. Data collection
 

• Database management (My SQL, PostgreSQL, MongoDB)

• Distributed processing (Apache Hadoop, Spark, Flink)

• Web scraping and using APIs

3. Data cleaning    
 

• Pandas for Python. R

4. Exploratory analysis
 

• Statistics

• Data visualization (libraries in Python: Numpy, Matplotlib, Pandas, Scipy. Packages in R: ggplot2, Dplyr)

5. Modeling and analysis    
 

• Statistical inference

• Machine Learning (scikit-learn for Python)

6. Interpretation and communication of results  
 

• Domain knowledge

• Data visualization (matplotlib, ggplot, seabron, tableau, d3j)

• Dashboards (Shine for R, Dash for Python)

• Sharing and documenting code (Jupyter notebooks, R Markdown, creating R or Python packages)

           

Academic Eligibility:
 

• Students should hold a Bachelor's degree (or equivalent as recognized by McGill University).

• The minimum Cumulative Grade Point Average (CGPA) is 3.0 out of a possible 4.0 or a Grade Point Average (GPA) of 3.2 out of 4.0 in the last two years of full-time studies.

Indian Student Eligibility:
 

• The minimum requirements are an overall average of 60% in each year, as well as in all prerequisite subjects.

• Subjects must include mathematics, chemistry, and physics in Class 11 and 12.

• GPA of 3.0/4.0 [B Grade].

Along with the minimum eligibility requirements, international students hailing from non-English speaking countries need to prove English proficiency through IELTS/TOEFL/any equivalent test.

Annual tuition fees:
 

• CA$ 30,429