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Study Master of Data Science and Analytics at University of Calgary in 2026
25 July 2026 program

Master of Data Science and Analytics at University of Calgary

Pursuing the Master of Data Science and Analytics at University of Calgary equips students with the technical expertise and business insight needed to solve real-world data challenges across industries. Offered as a multidisciplinary, course-based programme, it combines expertise from the Faculty of Science, Haskayne School of Business, and Cumming School of Medicine to deliver a well-rounded learning experience.

Students can specialise in Data Science, Business Analytics, Health Data Science and Biostatistics, or Financial and Energy Markets Data Modelling, while gaining practical experience through an internship. The programme is designed to prepare graduates for high-demand careers in technology, healthcare, finance, consulting, and beyond.

Key Highlights: Master of Data Science and Analytics at University of Calgary

Key Highlights

Course Details

Programme Duration

12 months, full-time, including internship

Degree Awarded

Master of Data Science and Analytics (Professional Graduate Program)

Delivered By

Faculty of Science, University of Calgary

University Ranking

#249, QS World University Rankings 2027

Tuition (International, Annual)

CAD 55,506-58,224 (approx. INR 38.3L-39.9L)

Total Cost of Attendance (Annual)

CAD 72,192 (approx. INR 49.5L)

Location

Calgary, Alberta

Post-Study Work Option

Post-Graduation Work Permit (PGWP), up to 3 years

Why Study Master of Data Science and Analytics at University of Calgary

Calgary's #249 QS World University Rankings 2027 position reflects a genuinely solid, broadly ranked Canadian research university, and what makes this specific programme distinctive is its structure: a genuine 12-month course-based Professional Graduate Program with an internship built directly into the timeline, rather than an optional add-on tacked onto a longer academic degree.

The Faculty of Science explicitly designed the programme to fit within 12 months precisely because it includes real workplace experience, and it's worth knowing upfront that the university won't extend this into a longer 16-month or 2-year track even if a student would prefer that pacing.

A few reasons candidates still choose this specific programme:

  • A genuinely multidisciplinary curriculum, letting students tailor coursework toward healthcare, finance, or general business analytics applications rather than a single narrow track.

  • An internship woven directly into the 12-month timeline, giving students real Canadian work experience before they've even graduated.

  • Access to Alberta's genuinely growing tech economy, where Data Scientist pay averaging over CAD 101,000 (INR 63.6 lakh)/

  • A "Be the First" tuition scholarship worth up to CAD 12,000 (INR 7.6 lakh), aimed specifically at accelerating access to high-demand digital fields.

  • Calgary's meaningfully lower cost of living compared to Toronto or Vancouver, stretching your budget further across the programme.

  • A Post-Graduation Work Permit pathway giving graduates up to three years of open Canadian work authorisation after finishing.

Course Structure of Master of Data Science and Analytics at University of Calgary

The programme runs on a course-based structure rather than a thesis, completed within 12 months for full-time students, with the internship component built directly into that timeline rather than added on afterward.

Students work with real datasets across the programme, developing skills in data visualisation, business acumen, and decision-making, with genuine flexibility to tailor their coursework toward the specific industry or application area they're most interested in.

Course Structure:

Programme Stage

What It Covers

Core Coursework

Data science fundamentals, statistical methods, data visualisation, business acumen

Applied Projects

Working with real data sets to make data-driven decisions and uncover insights

Internship

Built directly into the 12-month timeline, giving students genuine workplace experience

Programme Duration

Fixed at 12 months for full-time students; cannot be extended to 16 months or 2 years

Why the 12-Month Structure Genuinely Can't Be Extended?

Unlike many master's programmes that offer flexible pacing, UCalgary's Faculty of Science is explicit that this specific programme is designed as a 12-month package, internship included, and full-time students seeking a longer format need to look at alternative programmes entirely.

This rigid structure is actually a deliberate design choice, since compressing coursework and a genuine internship into a single year requires careful sequencing that a longer, looser timeline would undermine, making the pace intense but genuinely efficient for students who can commit to it.

Eligibility and Admission Requirements for Master of Data Science and Analytics at University of Calgary

Admission to this programme requires a four-year bachelor's degree in a relevant quantitative field, alongside a minimum GPA threshold and, for international applicants, an approved English language test score.

Academic Requirements

  • A four-year bachelor's degree in computer science, mathematics, statistics, engineering, or a closely related field

  • Minimum GPA of 3.0 out of 4.0, or an equivalent grade from a recognised institution

  • Applicants from other quantitative or technical backgrounds may also be considered

English Language Requirements

International applicants whose first language isn't English must submit an approved test score, taken through one of the university's officially accepted exams.

Test

Minimum Score Required

IELTS Academic

6.5 overall, no band below 6.0

TOEFL iBT

86 overall, no section below 20

Duolingo English Test

125 overall, no sub-score below 105

PTE Academic

59

Note: Applicants who don't yet meet the English requirement can enrol in UCalgary's Academic Communication Certificate (ACC) programme, which can lead to conditional admission once completed, a genuinely useful bridge for candidates just below the required threshold.

How to Apply for Master of Data Science and Analytics at University of Calgary

Applying to this programme follows the University of Calgary's standard graduate application process, and given the September intake's popularity, applying well ahead of the deadline is genuinely worth doing.

Step

What to Do

Step 1: Check Your Eligibility

Confirm your bachelor's degree and GPA meet the programme's minimum requirements

Step 2: Prepare Your Documents

Gather unofficial or official transcripts, degree certificates, and grade scales from all post-secondary institutions attended

Step 3: Submit English Proficiency Scores

Provide IELTS, TOEFL, Duolingo, or PTE results if English isn't your first language

Step 4: Submit Your Online Application

Apply through the University of Calgary's official graduate application portal

Step 5: Upload Supporting Documents

Include provisional and degree certificates or diplomas where applicable

Step 6: Receive Your Admission Decision

The Faculty of Science reviews your application and issues an official decision

Step 7: Accept Your Offer

Confirm your place and review your scholarship eligibility, including the Be the First Scholarship

Step 8: Apply for Your Canadian Study Permit

Once accepted, apply for your study permit through IRCC using your official offer letter

Note: For the September 2027 intake, the application deadline is 2 April 2027, so international applicants should aim to have documents ready well before that date.

Cost of Master of Data Science and Analytics at University of Calgary

The total cost of this programme comes down to the university's official per-year tuition rate, plus Calgary's cost of living, which runs meaningfully below Toronto or Vancouver.

Official Tuition Fees:

Fee Component

Tuition fee (CAD)

Tuition fee (INR)

Tuition (International, Annual)

CAD 55,506-58,224

INR 38.3L-39.9L

Total Cost of Attendance (including living costs)

CAD 72,192

INR 49.5L

Cost of Living Component (separate from tuition)

CAD 13,598

INR 9.3L

Note: Graduate student fees are reviewed annually by the Faculty of Graduate Studies and can change each academic year, so it's worth confirming the current exact rate directly on the university's Graduate Course-based Tuition page before finalising your budget.

Cost of Living in Calgary for Masters Students

One reason many international students choose Calgary is that it offers a good balance between affordability and quality of life. While it is one of Canada's largest cities, everyday expenses are generally lower than in Toronto or Vancouver.

Your monthly budget will mainly depend on where you live, how often you cook, and your personal spending habits. Students staying in University of Calgary residences also benefit from having utilities, internet, and tenant insurance included in their accommodation fees, making it easier to manage living costs.

Expense

Estimated Monthly Cost (CAD)

Approx. INR

Accommodation

CAD 900–1,500

INR 57,000–95,000

Food & Groceries

CAD 300–500

INR 19,000–32,000

Local Transportation

CAD 80–120

INR 5,100–7,600

Utilities & Internet*

CAD 100–180

INR 6,300–11,400

Personal & Miscellaneous Expenses

CAD 200–400

INR 12,700–25,300

Estimated Monthly Living Cost

CAD 1,580–2,700

INR 1.0 lakh–1.71 lakh

Note: Students living in University of Calgary on-campus residences usually have utilities, internet, and tenant insurance included in their accommodation charges, so their monthly out-of-pocket expenses may be lower than those living off campus.

Scholarships for Master of Data Science and Analytics at University of Calgary

The University of Calgary's Faculty of Science runs a dedicated scholarship specifically for students in its course-based Professional Graduate Programs, including this data science and analytics degree.

Be the First Scholarship

Eligibility:

  • Enrolled in UCalgary's course-based Professional Graduate Program in Data Science and Analytics

  • Meets ongoing academic performance criteria set by the Faculty of Science

Coverage:

  • Up to CAD 12,000 (approx. INR 8.23 lakh) toward tuition

  • CAD 6,000 (approx. INR 4.12 lakh) deposited into your student account as tuition credit each term, during the first month of the term, provided eligibility criteria are maintained

Note: This scholarship is specifically designed to accelerate access into high-demand digital fields, and it's applied directly to your tuition account rather than requiring a separate reimbursement process.

Student Visa Requirements for Master of Data Science and Analytics at University of Calgary

International students admitted to this programme must apply for a Canada Study Permit through IRCC before travelling, the standard process required for any full-time programme at a Canadian Designated Learning Institution.

Eligibility Criteria

  • Accepted admission offer from the University of Calgary with a valid letter of acceptance

  • Proof of sufficient financial resources to cover tuition and living costs

  • Valid passport with sufficient validity for the programme duration

  • No criminal record (a police clearance certificate may be required)

  • Medical examination may be required depending on country of origin

Financial Requirements

IRCC's updated minimum financial proof requirement means international students must demonstrate CAD 20,635 (approx. INR 14.2 lakh) per year for living costs, in addition to first-year tuition fees and travel costs.

Documents Required for Canada Study Permit

  • Valid passport

  • Acceptance letter from University of Calgary confirming DLI status

  • Proof of financial resources (bank statements, education loan letter, scholarship letter)

  • Completed online study permit application (IMM 1294)

  • Digital photo meeting IRCC specifications

  • Biometrics (required for most nationalities; fee CAD 85 per person)

  • Statement of purpose/letter of explanation (recommended)

  • Police clearance certificate (if required by country)

  • Medical examination results (if required by country)

Career Opportunities After Master of Data Science and Analytics at University of Calgary

Graduates of this programme move into data science, analytics, and business intelligence roles across Calgary's growing tech sector, alongside Alberta's traditional strength in energy, finance, and consulting-adjacent industries.

Top Job Roles and Salary Ranges in Calgary, AB:

Role

Calgary Salary Range (CAD)

Calgary Salary Range (INR, approx.)

Data Scientist

CAD 101,401/year (average)

INR 69.6 lakh

Machine Learning Engineer

CAD 63,521-129,422/year

INR 43.6L-88.8L

Business Analyst

CAD 70,168-107,116/year

INR 48.1L-73.5L

Data Analyst

CAD 57,000-84,000/year

INR 39.1L-57.6L

Business Intelligence Analyst

CAD 72,169-93,294/year

INR 49.5L-64.0L

BI Analyst

CAD 68,506-124,333/year

INR 47.0L-85.3L

Source: Glassdoor

Note: The amount mentioned in the table are approximate and may vary depending on the currency exchange rates.

Author's POV

The Master of Data Science and Analytics at University of Calgary stands out because it goes beyond teaching programming or statistics. Its multidisciplinary structure, combined with specialisations in Business Analytics, Data Science, Health Data Science and Biostatistics, and Financial & Energy Markets Data Modelling, allows students to tailor the degree to their career goals. The mandatory internship is another major advantage, giving students practical Canadian work experience before graduation.

While the tuition of CAD 55,506–58,224 (approx. INR 35.0–36.7 lakh) is a significant investment, scholarships worth up to CAD 12,000 (approx. INR 7.6 lakh) can help reduce the cost. For students looking for a one-year, industry-focused programme with strong links to Alberta's growing technology and energy sectors, this master's offers excellent value and career potential.

Connect with our experts for a free 1:1 counseling session to explore course options, career pathways, and more. 

Frequently Asked Questions

Yes. The Master of Data Science and Analytics at University of Calgary (MDSA) is a STEM-focused programme that combines data science, analytics, statistics, and machine learning. Students gain practical technical skills through coursework and industry projects. The curriculum is designed to prepare graduates for careers in Canada's growing data and AI sectors.

Yes, provided they meet the programme's academic prerequisites. Applicants with backgrounds in mathematics, engineering, statistics, economics, business, or related quantitative fields may also be considered if they have the required programming and mathematical foundation.

Yes. One of the biggest advantages of the Master of Data Science and Analytics at University of Calgary is its internship component. Students get the opportunity to apply classroom concepts in real business environments while building professional networks. This practical experience can strengthen employability after graduation.

The programme offers four specialisations, including Business Analytics, Data Science, Health Data Science and Biostatistics, and Financial & Energy Markets Data Modelling. The right option depends on your career goals and academic interests. Each pathway is designed to prepare students for specialised roles within the data industry.

Basic programming knowledge is recommended before starting the MDSA. Students commonly work with tools such as Python, R, SQL, and statistical software throughout the programme. Having prior coding experience helps students adjust more comfortably to the coursework.

Yes. International students enrolled in the MDSA can generally work part-time during academic sessions and full-time during scheduled breaks, provided they meet Canadian study permit conditions. Many students also use this opportunity to gain valuable Canadian work experience alongside their studies.

Graduates of the Master of Data Science and Analytics at University of Calgary can pursue roles such as Data Scientist, Data Analyst, Machine Learning Engineer, AI Specialist, Business Intelligence Analyst, and Analytics Consultant. Opportunities are available across technology, healthcare, finance, energy, and consulting sectors. The programme's multidisciplinary approach supports a wide range of career paths.

Yes. The MDSA includes subjects such as machine learning, predictive analytics, statistical modelling, and advanced data analysis. These skills are directly relevant to careers in artificial intelligence, automation, and data-driven decision-making. Graduates are well prepared for rapidly evolving technology roles.

Unlike many traditional data science degrees, the Master of Data Science and Analytics at University of Calgary allows students to specialise in multiple industry-focused areas while completing an internship. The programme also benefits from collaboration across different faculties. This multidisciplinary approach helps students develop both technical and business problem-solving skills.

Calgary has become one of Canada's fastest-growing technology hubs, with increasing investment in artificial intelligence, clean energy, fintech, and digital innovation. Students benefit from strong industry connections, networking opportunities, and a relatively affordable cost of living. This makes Calgary an attractive destination for aspiring data professionals.

The Master of Data Science and Analytics at University of Calgary is a professional, course-based degree designed primarily for industry careers. Students interested in doctoral research may still apply for PhD programmes, although admission requirements vary by university. Additional research experience may be required depending on the institution and discipline.

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