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Master of Science (MSc) in Computer Science (Data Science)



¿Qué aprenderé?

The Department of Computer Science offers programs of study involving interdepartmental, multi-institutional and inter-institutional collaboration that has attracted faculty members and graduate students from all over the world. Students may pursue full-time or part-time graduate study leading towards the MSc and PhD degrees.

The MSc and PhD degrees in Computer Science focus on four main areas of research: artificial intelligence; databases and information retrieval; graphics, image and audio processing; multimedia, and software engineering. Specifically, active research topics conducted by faculty members include, but are not limited to:

  • Data mining, knowledge discovery and machine learning, Bayesian networks, rough set theory, uncertainty management, quantitative and temporal reasoning
  • Graphical modeling and rendering algorithms, animation, image and signal processing, facial recognition, computational music and audio, information visualization, human computer interaction
  • Information retrieval, cognitive informatics, Web intelligence and service, electronic commerce, database theory, and information theory and its applications in communications
  • Language-based software security, data security, agent-oriented software engineering, software reuse, formal methods, and distance education
  • Algorithm design and analysis, theory of computing, computational geometry, graph theory

The Department of Computer Science maintains several research laboratories: Animation Software Design, Artificial Intelligence, Graphics, Intelligent Database System, Interactive Media, Computational Discovery, Multimedia Gaming, Open Systems, Rough Computing, Rough Music and Audio Digital Interactive, Saskatchewan Research Network Digital Media, Software Engineering, and Web Intelligence. Both the TR and New Media Studio laboratories result from collaborative research with various partners from industry, university, and government.

MSc - Data Science (30 credit hours):

A fully-qualified student may complete a Master's in Data Science by undertaking 30 credits of coursework. Students in this route who are interested in pursuing the Co-op Designation must complete CS 700, 710, 711, 712, 713, 714, 715, and 716 before they can undertake any co-op work terms.

CS 7003 cr hrs
CS 710: 3 cr hrs
CS 711: 3 cr hrs
CS 712: 3 cr hrs
CS 713: 3 cr hrs
CS 714: 3 cr hrs
CS 715: 3 cr hrs
CS 716: 3 cr hrs
CS 719: 6 cr hrs
TOTAL: 30 cr hrs

¿En cuál departamento estoy?

Faculty of Science

Opciones de estudio

a tiempo completo (30 horas de crédito)

Costos de estudio
CAD$26.810,00 (US$ 19.564) por año
Aplicaciones hasta

Esperado March 2023

Fecha de inicio

30 Agosto 2023


University of Regina

3737 Wascana Parkway,


Saskatchewan (SK),

S4S 0A2, Canada

Requerimiento de entrada

Para estudiantes de Estados Unidos

Applicants must have a graduating average of at least 70 per cent from a four-year baccalaureate degree (or equivalent). English language requirement: TOEFL (iBT): 20 each band; IELTS – Academic: 6.5 overall, 6.0 each; Pearson Test of English (PTE) Academic: 59; CanTEST: 4.5 overall, 4.0 each; MELAB: 80.

Para estudiantes internacionales

Applicants must have a graduating average of at least 70 per cent from a four-year baccalaureate degree (or equivalent).

English language requirement:

TOEFL (iBT): 20 each band

IELTS – Academic: 6.5 overall, 6.0 each

Pearson Test of English (PTE) Academic: 59

CanTEST: 4.5 overall, 4.0 each



For Fall admission only: March 15

Puede haber diferentes requisitos de IELTS en función del curso elegido.


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