Data Science Course Rotation

Undergraduate & Graduate DTSC Courses

Course Delivery Mode:

F - Face-to-face course
O - Online course
H - Hybrid course. Face-to-face component or regular meetings with the rest of the work done online
3W1 - Course is only offered in 3W1 session in winter (spring) or summer

Course	Spring	Summer	Fall
DTSC 3010 - Introduction to Data Science	F		F
DTSC 3020 - Introduction to Computation with Python	O-3W1, F	O	F
DTSC 4050 - Statistical Methods for Data Science and Analysis	F
DTSC 4501 - Principles of Data Science and Analytics	O, F		O
DTSC 4565 - Software Engineering for Data Science			F
DTSC 5082 - Seminar in Research and Research Methodology	F, O	F	F, O
DTSC 5501 - Fundamentals of Data Science	F, O, H		F, O
DTSC 5502 - Principles and Techniques for Data Science	F, O	O	F, O
DTSC 5505 - Applied Machine Learning for Data Scientists	F, O	O	F, O
DTSC 5565 - Software Engineering for Data Scientists			F
DTSC 5777 - Virtual Reality and Its Applications	F

Courses Not in Established Rotation:

DTSC 3030 - Cyber Ethics for Data Scientists

DTSC 4221 - Applied Data Science and Machine Learning

DTSC 4410 - Network and Data Security for Data Scientists

DTSC 4420 - Principles of Data Science Forensics

DTSC 4430 - Cloud Security for Data Scientists

DTSC 5504 - Advanced Principles and Techniques of Data Science

DTSC 5510 - Applied Deep Learning for Data Scientists

DTSC 5566 - Advanced Software Engineering for Data Scientists