Skip to main content

Data Science (BCompSc)

This program was formerly called Computer Science – Mathematics and Statistics

Apply now
Degree
Bachelor of Computer Science (BCompSc)
Department
Faculty
Duration
3 to 4 years
Primary campus
Sir George Williams (SGW)
Experiential learning
Co-op
Start term
Fall, Winter

Why study Data Science?

Crunch numbers to the nth degree — and see what happens. When you study computer science and mathematics, you’ll use algorithms and computational theory to create mathematical models or define formulas that solve mathematical problems. In other words, you'll design new tools that can predict the future.

Computer science with mathematics and statistics gives students the flexibility to combine a traditional computer science degree with a non-traditional field. Our state-of-the-art labs for high-performance computing, networks and artificial intelligence will give you experience with the tools you’ll use in the field. Through labs, lectures and projects, you’ll also:

  • Investigate the computational limits of the algorithms and data structures that support complex software systems
  • Develop new applications and tools in multi-disciplinary areas of science and research
  • Explore opportunities for advanced computer modeling and simulation

Program highlights

  • A highly engaging blend of theory and practice instruction
  • State-of-the-art labs
  • An active student body that organizes tutorials, study groups and social events

Program structure

A Bachelor of Computer Science degree takes a minimum of three or four years (90 – 120 credits) of full-time study, depending on your academic background.

Program option

  • Major in Data Science (72 credits)

The core provides a basic and broad study of theory, mathematical basics, programming methodology, computer architecture, data structures, operating systems, and software engineering.

This degree combines a major in computer science with a major in mathematics and statistics. It provides a foundation for integrated studies in computer science and mathematics. The mathematics component of the program includes topics that overlap with computer science, such as modeling, symbolic computation, and combinations, as well as the standard topics of a mathematical curriculum.

We offer an honours program to computer science students with high academic standing. You may apply to the honours program once you have completed 30 credits.

Courses

United States students: A U.S. Federal Student Aid-eligible version of this program is offered. This version meets all U.S. regulations (such as no co-operative education or e-courses) for eligible programs.

Admission criteria

Minimum cut-off averages and course requirements for admission

  • Quebec CEGEP: 28 overall, 26 math
    • Admission is based on applicants’ overall Math CRC indicated above and completion of the following classes as part of their DEC: Calculus 1 and Calculus 2 and Linear Algebra
    • Students completing a three-year technical DEC may also be eligible for admission
      Eligible technical DECs include 420.A0/BO/AA
    • Additional information for CEGEP applicants
  • High School: A- overall, A- math
  • International Baccalaureate (IB) diploma: 33 overall, 5 HL or 6 SL math, 5 HL physics
    • Accepted math: Applications and Interpretations HL, Analysis and Approaches SL or HL
  • Baccalauréat français: 15 overall, 15 math, 14 in science
  • British system of education (GCE)
    • A-levels: At least two A-level exams AB, A in math, B in physics or
    • AS-levels: At least 4 AS-level exams with equivalent results or
    • BTEC: Level 3 Diploma or Extended Diploma in a related subject area with equivalent results
    • Students without A-level math may be admissible based on AS-level or iGCSE/GCSE/O-Level exam results. Students should include all their exam results from iGCSE (or equivalent) onwards to support their application.
    • Additional information for British System of Education (GCE) applicants
  • University Transfers (internal):  3.0 overall, 3.0 in math, 2.3 in courses offered by the Gina Cody School of Engineering and Computer Science
    • At least two of the following (or equivalent): MATH 203, 204, 205
  • University Transfers (external):  A- overall, A- in math
    • Courses in the disciplines of Calculus and Linear Algebra

Minimum cut-off averages should be used as indicators. The cut-off data may change depending on the applicant pool. Applicants who meet the stated minimum requirements are not guaranteed admission to these programs.

Application deadlines

Fall term

FALL TERM

March 1 is the deadline to apply for fall term entry. International students are encouraged to apply by February 1 to allow sufficient time for CAQ and study permit application processing.

Winter term

WINTER

November 1 is the deadline to apply for winter term entry. International students are encouraged to apply by September 1 to allow sufficient time for CAQ and study permit application processing.

Not all programs are available for winter term entry. Please check program availability for the term, before you start your application.

We reserve the right to close admission to a program at any time after the official deadline without prior notice.

After your degree

Given the range of applications in use today, mathematics, statistics and computer science alumni have established careers in fields that include mathematical modelling, data analysis, design and software development.

Other programs of interest

Data Science (BA/BSc)

In today’s economy, businesses and institutions rely on data analysis to reach their goals. Data collection is made possible by technological advancements, but insightful data analysis requires human expertise.

Department

Faculty

Computer Science (BCompSc)

The Computer Applications option gives doubly passionate students the flexibility to combine a traditional computer science degree and with a non-traditional field. Though many students complete a Major in Computation Arts or a Major in Mathematics and Statistics, students may declare a major or minor in any area outside the Faculty of Engineering and Computer Science.

Department

Faculty

Mathematics and Statistics (BA, BSc)

Mathematics is a language that answers real-world questions in science and engineering. Statistics is the science of information.

Department

Faculty

© Concordia University