The Master of Science is designed to build computer science depth and research competence, to prepare students for advanced careers in computing fields. Students completing the M.S. degree are also well-prepared for doctoral study in computer science.

Data Science and Big Data Concentration

Students in the M.S. in Computer Science program may opt to declare a concentration in “Data Science and Big Data.” For most students, this concentration can be obtained with careful selection of appropriate elective courses, not requiring any additional courses beyond the regular MS requirements. The concentration will be an official degree designation that is shown on a student’s transcript, indicating that the student has studied key courses in this in-demand field.

The Data Science and Big Data concentration is designed to provide students key knowledge of appropriate theories, algorithms, and technologies, towards development of analytical systems/models for disparate, complex, and small/large scale datasets. Students completing this concentration will have learned skills necessary to tackle a wide variety of data-focused scientific, social, and environmental challenges.

Core Courses (Take All – 12 credits):

• CSC 505 – Data Science
• CSC 510 – Big Data and Machine Learning
• CSC 555 – Algorithm Analysis and Design
• CSC 671 – Advanced Database Systems

Elective Courses (Take One – 3 credits):

• CSC 526 Bioinformatics
• CSC 529 Artificial Intelligence
• CSC 550 Combinatory on Words
• STA 573 Theory of Linear Regression
• STA 682 Theory of Time Series
• STA 661 Advanced Statistics in the Behavioural and Biological Sciences I