The program is designed to build career-ready skills through a structured curriculum that includes four core courses, four specialization courses, an integrated topics course, and a research or internship project. 

In this guide, you will find a clear overview of the Master of Data Science and Analytics at University of Calgary, including program structure, eligibility requirements, application process, required documents, deadlines, and key academic considerations. 

Why Choose the Master of Data Science and Analytics at University of Calgary? 

The Master of Data Science and Analytics at the University of Calgary is designed for students seeking advanced analytical training within a research-intensive academic environment.  

It combines structured coursework with interdisciplinary exposure to build strong, career-ready data skills. 

Key Reasons to Choose This Program:  

Structured graduate framework: The University of Calgary follows a centralized graduate system with clearly defined academic policies, progression criteria, and evaluation standards, ensuring a transparent and consistent learning experience. 

Advanced analytical skill development: The program focuses on building strong capabilities in data analysis, statistical methods, and applied analytics relevant across multiple industries. 

Interdisciplinary learning environment: Students benefit from cross-faculty collaboration, allowing them to apply data-driven approaches to real-world problems across diverse domains. 

Research-focused academic setting: As a research-intensive university, it promotes analytical thinking, evidence-based learning, and strong methodological foundations. 

Clear policies and student support: The university provides well-defined admission processes, documentation requirements, and academic guidelines, helping students navigate their academic journey with clarity. 

Curriculum and Courses in the Master of Data Science and Analytics at University of Calgary 

The Master of Data Science and Analytics (MDSA) at the University of Calgary follows a course‑based curriculum designed to provide students with a strong foundation in data science concepts, analytical methods, and applied data tools.  

The curriculum is developed collaboratively by the Faculty of Science, Haskayne School of Business, and the Cumming School of Medicine, ensuring an interdisciplinary academic framework.  

Core Courses in the Master of Data Science and Analytics at University of Calgary 

All students complete a set of foundational core courses that introduce essential concepts and techniques used in data science and analytics. 

Core areas covered include: 

• Working with Data and Visualization 

• Statistical Data Analysis 

• Statistical Modeling with Data 

• Big Data Management 

These courses focus on data handling, analytical reasoning, modeling techniques, and working with large‑scale datasets across applied contexts.  

Specialization Courses in the Master of Data Science and Analytics at University of Calgary 

Beyond the core curriculum, students complete four courses in one specialization area, allowing for focused academic and applied learning. 

Available specialization areas include: 

• Data Science 

• Business Analytics 

• Financial and Energy Markets Data Modelling 

• Health Data Science and Biostatistics 

Each specialization allows students to apply foundational data science concepts within a specific domain, strengthening subject‑matter expertise while retaining transferable analytical skills. 

The curriculum is designed to ensure graduates can apply data‑driven thinking across industries, research contexts, and professional settings, rather than limiting learning to a single application domain. 

Eligibility Criteria for the Master of Data Science and Analytics at University of Calgary 

Admission to the Master of Data Science and Analytics (MDSA) at University of Calgary is governed by the Faculty of Graduate Studies (FGS) and follows the general graduate admission requirements outlined in the University of Calgary Academic Calendar.  

Applicants must meet academic and English language proficiency requirements before their application is considered.  

Academic Qualification Requirements for Master of Data Science and Analytics at University of Calgary   

To be eligible for admission, applicants must hold: 

• A four‑year baccalaureate degree or its academic equivalent from a recognized post‑secondary institution 

• A minimum GPA of 3.00 on a 4.00 scale, calculated on the second half of the undergraduate degree, the last 60 units (or last two years) of full‑time study 

Academic records from international institutions are evaluated to determine equivalency to University of Calgary standards.  

Admission requirements may vary depending on the country in which the previous education was completed.  

English Language Proficiency Requirements for Master of Data Science and Analytics at University of Calgary  

Proficiency in English is mandatory for all graduate programs at the University of Calgary. Applicants whose primary language is not English must demonstrate English proficiency through one of the accepted methods unless officially exempted. 

Accepted evidence of English language proficiency includes: 

Note: Test scores are valid for two years from the test date. Some graduate programs may require English proficiency scores higher than Faculty of Graduate Studies minimums.. 

Exemptions and Special Consideration 

• The English language proficiency requirement may be waived for applicants who have completed a recognized degree where English was the language of instruction 

• In exceptional cases, applicants who do not meet standard academic requirements may still be considered if they demonstrate significant academic or professional achievement, subject to approval by the Dean of the Faculty of Graduate Studies 

• Students may be advised to complete additional undergraduate‑level coursework to improve their academic record, though successful completion does not guarantee admission 

Notes:  

• Meeting minimum eligibility criteria does not guarantee admission 

• Admission decisions are competitive and program‑specific 

• Final authority for admission rests with the Faculty of Graduate Studies 

Tuition Fees for the Master of Data Science and Analytics at University of Calgary 

The Master of Data Science and Analytics (MDSA) is a course-based program where tuition is charged per 3-unit course rather than as a fixed annual fee. The total cost varies based on the number and type of courses taken. 

International Tuition Fees per Course 

How Tuition Is Charged:  

• Each course carries 3 units  

• Fees are charged per course, not per semester  

• Most courses fall under the standard tuition rate  

• Project or internship courses are comparatively lower in cost  

• Additional non-instructional and general fees may apply  

Intakes and Application Deadlines for the Master of Data Science and Analytics at University of Calgary 

The Master of Data Science and Analytics at the University of Calgary admits students primarily for the Fall intake.  

Application timelines differ for international applicants, and candidates are advised to apply early due to competitive admissions and study‑permit processing requirements. 

Fall Intake Deadlines:  

Important Admission Notes 

• The Fall intake is the main admission cycle for the MDSA program 

• International applicants should apply directly to the Master’s program 

• To support longer study‑permit processing timelines, Iranian applicants are eligible for an extended application deadline of December 1 

• Domestic (Canadian/Permanent Resident) applicants must apply through the Certificate → Diploma → Master’s laddered pathway, and therefore do not apply directly to the Master’s program 

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

Applying to the Master of Data Science and Analytics (MDSA) at the University of Calgary is a structured process managed through the Faculty of Graduate Studies.  

You need to complete an online application and submit supporting documents, after which your profile is reviewed at both the faculty and program level. 

Here is the step-by-step procedure: 

Step 1: Create and Submit an Online Application 

Start by applying through the University of Calgary’s Graduate Application Portal. 

• Select Master of Data Science and Analytics (course-based) as your program  

• Choose the Fall intake, which is the primary admission cycle  

• Complete all sections of the application carefully and accurately  

Once submitted, you will receive a UCalgary ID number, which is used for all further communication. 

Step 2: Upload Required Supporting Documents 

After submitting the application, upload your documents through the online system. 

Required documents typically include: 

• Unofficial transcripts from all post-secondary institutions attended  

• Degree certificate (if awarded)  

• Proof of English language proficiency (if required)  

• Any additional documents requested by the program  

Ensure all documents are clear, legible, and uploaded in the correct format. Official documents are generally required only after admission is offered. 

Step 3: Check Academic Eligibility 

Make sure your academic background meets the graduate admission requirements. 

• A four-year undergraduate degree (or equivalent) is required  

• GPA is assessed based on the last two years of full-time study  

International qualifications are evaluated for equivalency to University of Calgary standards. 

Step 4: Submit English Language Test Scores (if required) 

Applicants whose first language is not English must provide valid test scores unless exempt. 

• Scores must meet Faculty of Graduate Studies minimum requirements  

• Results should be valid (typically within two years)  

• Some programs may require higher scores than the minimum  

Upload your test results as per the application guidelines. 

Step 5: Application Review and Decision 

After submission: 

• Applications are reviewed by the Faculty of Graduate Studies and the program  

• Decisions are based on academic eligibility, document verification, and program capacity 

• Applicants are notified through the application portal and email  

Regularly check your email and application portal for updates or additional document requests. 

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

The Master of Data Science and Analytics at University of Calgary builds strong capabilities in data analysis, computation, and interpretation.  

These skills are widely applicable across industries where data-driven decision-making plays a key role. 

Career Pathways and Work Domains 

Graduates move into roles across a range of sectors, including: 

• Technology and data-driven industries  

• Business analytics and strategy functions  

• Financial services and energy analytics  

• Healthcare data analysis and biostatistics  

• Research and applied data science roles  

• Start-ups and innovation-led organizations  

The program prepares students to work with complex datasets, identify trends, and generate insights that support business and research outcomes. 

Skill Alignment with Career Growth 

The curriculum is designed to build practical, industry-relevant skills such as: 

• Statistical analysis and data modelling  

• Data visualization and interpretation  

• Use of big data tools and analytics platforms  

• Cross-disciplinary problem-solving  

These skills allow graduates to work across industries rather than being restricted to a single domain. 

Long-Term Professional Development 

The MDSA is a course-based master’s degree that supports career progression in applied analytics and data-focused roles.  

It also provides a foundation for leadership positions and further specialization in data science or research-oriented fields. 

Conclusion 

The Master of Data Science and Analytics at University of Calgary is a focused, course‑based graduate program that builds strong capabilities in data analysis, statistical modeling, and applied analytics.  

With its interdisciplinary curriculum, specialization options, and structured academic design, the program supports practical, data‑driven skill development. 

Overall, the MDSA is a suitable choice for international students seeking advanced training in data science and analytics within a rigorous Canadian university environment.