Course content, course fees, location, co-op opportunities. The program helps to get a good indepth idea of data engineering and data science and enables students to learn and build industry relevant projects in these areas.
Course Curriculum :
The course curriculum is pretty diverse with options from visualization, statistics, big data, machine learning and research grade AI.
Exams :
There are no strict admission requirements for my university. TOEFL is mandatory I guess. All this info is available on the course website and the admission portal. My scores: GRE 157 Verbal 157 Quant 4.5 Writing; TOEFL 104
Placement :
There are various companies coming to campus for internships. There are no full-time placements and all full time opportunities are seeked by self.
Internship :
Two Hat, Data Scientist Intern. I am really sorry, I cannot disclose my stipend. Technical Interview and HR interview
Fees :
40000 CAD
Scholarship :
No
Faculty :
Faculties are good and help in understanding concepts. There are ample faculties to teach the students. They are approachable during TA hours and personal hours and help in understanding various concepts.
Campus Life :
Sorry, I did not take part in any extracurricular activities. They are more suited for undergraduates. The WiFI and the libraries are well maintained and have all books(research/study) and various academic journals to read.
Hostel :
I am not aware of the college accomodation facilities. Generally, stay outside and share room with other fellow students. Average rentals around 800 CAD per month.
