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Data Science

Mount Royal University

Computing and Software: blue ink subject illustration
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AI-generated ink illustration

Conceptual study artwork, not a photograph of teaching facilities.

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Checked 2026-11-05

Symbolic subject artwork; no university facility depicted

Deadlines

February 2027

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Next deadline

  • Early admission application

    2027/2028 · All Fall 2027 applicants; programme-specific earlier dates still apply

    Official deadline
Other deadline details
No central deadline published by ApplyAlbertaApplyAlberta, deadlines are set per institutionRecurring annual · Every year
  • No central deadline published by ApplyAlberta
  • ApplyAlberta handles applications, but each institution publishes its own deadlines and fees
Full source wording

ApplyAlberta publishes NO deadline dates at all on its public pages. Its How to Apply page describes the process only: verbatim, "Now you will 'Start a New Application' at the institution of your choice. You will be directed to the institution's application portal where you will apply and pay any application fees", and "All application fees are paid directly to the institution you are applying to. Each institution has its own unique application fees". Deadlines must be read from each of Alberta's 26 publicly-funded institutions.

SourceChecked

Requirements

Admission requirements

High-school prerequisites
  • English Language Arts 30-160% min.
  • Math 30-165% min.
Mount Royal University current programme admission chart
Application steps
  1. Step 1Check the admission requirements
    • Check the published entry route for your applicant category.
    Mount Royal University current programme admission chartMount Royal University current programme admission chart
  2. Step 2Apply through ApplyAlberta
    • Create your application and select this program.
    ApplyAlbertaApplyAlberta
  3. Step 3$100 application fee
    • The online undergraduate application requires a non-refundable $100 fee.
    Mount Royal undergraduate application instructionsMount Royal undergraduate application instructions
  4. Step 4Official academic transcripts
    • Applicants list every high school and postsecondary institution attended. Applications are reviewed after all required transcripts are received.
    Mount Royal transcripts and supporting documentsMount Royal transcripts and supporting documents
Applicant pathways
Exact programme academic admission requirements

Data Science BSc; Alberta Grade 12 subjects or published equivalents

  • English Language Arts 30-1: 60%; Math 30-1: 65%
  • Minimum final average for high-school/mature applicants: 65%.
  • Minimum final GPA for post-secondary applicants: 2.0.
  • Competitive ranges are previous-year guidelines, assessed separately from minimum final eligibility.
Mount Royal University current programme admission chart
General Admission Requirements

General Admission Requirements; applicants in this explicitly named programme, major or alternate category only; Alberta courses or their equivalents

  • All students must meet the general admission requirements for Mount Royal University programs, as indicated in the Admission section of this calendar.
Mount Royal University 2026/27 exact programme calendar admission
Additional Admission Requirements

Additional Admission Requirements; applicants in this explicitly named programme, major or alternate category only; Alberta courses or their equivalents

  • In addition to meeting the general admission requirements indicated in the Admission section of this calendar, applicants must also satisfy the following criteria.
Mount Royal University 2026/27 exact programme calendar admission
Academic Course Requirements

Academic Course Requirements; applicants in this explicitly named programme, major or alternate category only; Alberta courses or their equivalents

  • The following specific courses (or equivalencies) with the specified minimum grades are required for admission into the Bachelor of Science - Data Science program:
  • English Language Arts 30-1 - 60%
  • Mathematics 30-1 - 65%
  • Although Conditional Admission may be granted in advance of receipt of final/official transcripts, confirmation of the achievement of specified minimum grades will take place after all final/official transcripts have been received by the University. Applicants who do not meet these minimum grade requirements will be denied admission.
Mount Royal University 2026/27 exact programme calendar admission
High school applicant

High school applicant; programme-specific criteria also apply

  • You will be considered a high school applicant if you meet the following criteria: you are in your final year of high school, or you have left or completed high school, and you have completed fewer than eight post-secondary courses
Mount Royal University current high-school, mature and post-secondary admission categories
Post-secondary applicant

Post-secondary applicant; programme-specific criteria also apply

  • You will be considered a post-secondary applicant if you meet the following criteria: Fall Semester: if you have completed four or more transferable post-secondary courses (minimum 12 credit hours) by Dec. 31 and will have completed eight or more (minimum 24 credit hours) by June 30 . Winter Semester: if you have completed eight or more transferable post-secondary courses (minimum 24 credit hours) by Aug. 31.
Mount Royal University current high-school, mature and post-secondary admission categories
Mature applicant

Mature applicant; programme-specific criteria also apply

  • You will be considered a mature applicant if you meet the following criteria: you do not meet the high school applicant requirements, you have not completed sufficient courses to be considered as a post-secondary applicant, and you are 21 as of Sept. 1 for the Fall Semester or Jan. 1 for the Winter Semester
Mount Royal University current high-school, mature and post-secondary admission categories
General admission qualification

High-school, mature or post-secondary applicants as explicitly named

  • Your general admission requirements are determined based on your applicant category:
  • High school : High School applicants must present five Grade 12 level courses for admission. Included in these five courses, applicants must present the required subjects for their intended program of choice. The specific courses required for your program count towards your Group A courses. The additional subject(s) which may be presented for admission include the following courses from Group A, B, or C.
  • Post-secondary: To be eligible for admission, you must present a minimum GPA. Unless a specific (higher) GPA has been indicated for your program of choice, post-secondary applicants are normally required to have a minimum 2.0 Grade Point Average (GPA). Some programs require a minimum GPA of 2.5.
  • Mature: Mature applicants must present at least two Grade 12 level courses for admission. More than two may be required depending on the specific high school courses required for your program choice. The specific courses required for your program count towards your Group A courses.
  • For high school course work to be used for admission purposes, courses must be completed by June 30 for the Fall Semester . When completing your application, report all 5-credit Group A and B courses (or equivalents) that will be completed by June 30.
Mount Royal University current high-school, mature and post-secondary admission categories

Degree requirements

Required courses and electives
  • Curriculum: The B.Sc. in Data Science consists of 20 core courses, a choice of one 6-course concentration, 10 General Education courses, and 4 electives.
  • Electives: Complete four elective courses.
ReferencesMRU current catalog12 named requirement groupsMount Royal current Bachelor of Science ; Data Science (B.Sc.): published programme durationMount Royal: science named academic-unit location
Credits and degree requirements
  • Core Courses: All of the following courses are required.
  • Concentration in Finance: Take the following four courses:
  • Concentration in Computer Science and Big Data: Take the following course:
  • Concentration in Logistics and Supply Chain Management: Take the following three courses:
  • Concentration in Mathematics and Statistics: Take the following course:
ReferencesMRU current catalog12 named requirement groupsMount Royal current Bachelor of Science ; Data Science (B.Sc.): published programme durationMount Royal: science named academic-unit location
Foundation requirements
  • General Education Requirements: Ten courses must be completed to meet the General Education requirements to graduate with a B.Sc. in Data Science. Four courses will be taken at the foundational level: one from each of the thematic clusters. Three courses will be taken at the second tier: no more than one from each of the three thematic clusters: Values, Beliefs and Identity, Community and Society, and Communication. Three courses must be taken at the third tier, selected from at least two of the thematic clusters.
ReferencesMRU current catalog12 named requirement groupsMount Royal current Bachelor of Science ; Data Science (B.Sc.): published programme durationMount Royal: science named academic-unit location

Program facts

Academic minimum65% minimum
Mount Royal University program admission requirements
Co-opCo-op option

Data Science requires a Work Integrated Learning course and also offers an optional Co-operative Education route.

MRU catalog12 exact published work-integrated study
MRU catalog12 exact published work-integrated studyCheck work experience options

Majors & specializations

Computing and Big Data

BSc

Study big data database management with approved computing and data science options such as artificial intelligence and distributed systems.

Published requirements

Courses

Named courses in the 2026/27 degree and major requirements, including option banks and alternatives. This is a course menu, not a timetable or a list every student takes.

Curriculum / Core Courses20 listed

Published requirement group, not an academic term or a claim that every alternative is required. All of the following courses are required.

MRU current catalog12 named requirement groups
Curriculum / Core Courses / One of3 listed

Published requirement group, not an academic term or a claim that every alternative is required.

MRU current catalog12 named requirement groups
Curriculum / Concentration in Finance8 listed

Published requirement group, not an academic term or a claim that every alternative is required. Take the following four courses:

MRU current catalog12 named requirement groups
Curriculum / Concentration in Computer Science and Big Data9 listed

Published requirement group, not an academic term or a claim that every alternative is required. Take the following course:

MRU current catalog12 named requirement groups
Curriculum / Concentration in Logistics and Supply Chain Management9 listed

Published requirement group, not an academic term or a claim that every alternative is required. Take the following three courses:

MRU current catalog12 named requirement groups
Curriculum / Concentration in Mathematics and Statistics7 listed

Published requirement group, not an academic term or a claim that every alternative is required. Take the following course:

MRU current catalog12 named requirement groups
Elective choices
  • Curriculum: The B.Sc. in Data Science consists of 20 core courses, a choice of one 6-course concentration, 10 General Education courses, and 4 electives.
  • Electives: Complete four elective courses.
  • General Education Requirements: Ten courses must be completed to meet the General Education requirements to graduate with a B.Sc. in Data Science. Four courses will be taken at the foundational level: one from each of the thematic clusters. Three courses will be taken at the second tier: no more than one from each of the three thematic clusters: Values, Beliefs and Identity, Community and Society, and Communication. Three courses must be taken at the third tier, selected from at least two of the thematic clusters.
Study locations
Published academic-unit location
The Faculty of Science and Technology lists its contact office at Lincoln Park Campus, room B287. This is the faculty contact office; individual course rooms and field sites are separate.Mount Royal: science named academic-unit location
ReferencesMRU current catalog12 named requirement groupsMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMRU 2026–2027 · official individual course description excerptMount Royal current Bachelor of Science ; Data Science (B.Sc.): published programme durationMount Royal: science named academic-unit location

Careers

Career examples

  • Data scientist
  • Data analyst
  • Data and AI domain architect
Scope and qualifications

University-published career examples for Data Science, including its published routes; some require further training or registration. These are examples, not ranked graduate outcomes.

Costs

Bachelor of Science (all majors and Spatial Data Science certificate)

Published cost estimate

2026–27 · One full course · 2–5 credits · CAD

Canadian students example · Choose your category

Tuition$728.75
Books and suppliesNot researched
Residence
Not estimated
Meal plan
Not estimated
Estimated subtotalNot available

Published tuition · Other charges extra

Housing and meals are outside this estimate.

Last updated

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