Frequently Asked Questions - Graduate Program

COURSES AND SCHEDULING:

The admission portal is now opened. Applications may be submitted beginning November 1, 2019 for the Fall 2020 semester, and will remain open until February 1, 2020 11:59PM MST for international applicants, and April 15, 2020 11:59 MDT for Canadian/Permanent Residents. 

We do not currently offer admission during any semester except Fall.

No, the application portal is now closed. No exceptions will be made.

Please go to the Dataverse Scholar's Portal to see a number of projects that were completed as part of the Fall 2018 certificate program.

There are two class schedules offered, running Monday through Thursday. The morning schedule runs 9am - 11:45am, and the evening from 5pm - 7:45pm.

Both daytime and evening options are structured the same: DATA 601 and 602 running concurrently for 6 weeks, followed by DATA 603 and DATA 604 for the remaining 6 weeks of the Fall semester.

Students will be able to determine their own course load per semester, taking 1 to 4 courses. Out of concern for enrollment imbalances between the different courses, preference will ultimately be given to applicants who are able to commit to a full course load, but we are working to be accommodating. 

Full Question: Am I able to take courses from one of the diploma specializations (DATA 605 - 608, 611 - 614, or, 621 - 624) before completing the certificate (DATA 601 - 604)? 

Students must complete the certificate in full before enrolling in any diploma courses.

Classes for the certificate program will be held on the University’s main campus (2500 University Drive NW), in the ICT building -- ICT 517.

Diploma courses for the Data Science and Business Analytics specializations will be held on the main campus; the Health Data Science & Biostatistics specialization will be on the Foothills campus.

Courses will be offered in-class. Online delivery is being considered for future semesters.

The Data Science and Analytics certificate and diploma courses will not be available for auditing.

A student enrolled in all four courses should expect to have 40+ hours of work per week (or ~20 hours of work per week, per course), this includes 12 hours of in-class learning, with the remaining hours committed to assignments, research etc. done independently.


GENERAL:

Please see Data Science section of the the academic calendar.

Students are also assessed General Fees.

A student enrolled in 4 courses per semester would be able to complete the certificate in 1 semester (4 months) or the diploma in 2 semesters (8 months). 

Students are able to enroll as either "part-time" or "full-time". This will affect the amount they are assessed for General Fees, as well as the services offered (e.g. part-time students are not eligible for health, dental or a UPASS [used for Calgary Transit]). It may also relevant regarding student loans, as a student's status as part- or full-time can impact their eligibility. 

Recent federal legislation stipulates that only certified consultants may offer advice about immigration issues. The International Student Services (ISS) at the University of Calgary specializes in this area. Go to International Student Services or contact the office at international.advice@ucalgary.ca.

A certificate or diploma in Data Science and Analytics can work within the Canada-Alberta Job Grant model if the employer and employee meet the criteria as set out in the Canada-Alberta Job Grant Applicant Guide.


REQUIREMENTS:

See the current Graduate Calendar under Admission > A.1 Qualifications for full details.

The Data Science program will follow the same guidelines as set out by the Faculty of Graduate Studies.  See the current Graduate Calendar under Admission > A.1 Qualifications > 2. for full details.

You are able to take courses to meet the prerequisites, provided they meet the following criteria:

  • They are from an accredited institution or learning resource
  • The course is evaluated/graded in some way 
  • You can produce a certificate or transcript that documents your completion and grade for the course

Students are required to have at least a “B” grade, or equivalent, to meet the minimum requirements.

Below are examples of appropriate prerequisites from our institution:

Computer Programming:

  • CPSC 217 - Introduction to Computer Science for Multidisciplinary Studies I, 
  • CPSC 219 - Introduction to Computer Science for Multidisciplinary Studies II, 
  • CPSC 231 - Introduction to Computer Science for Computer Science Majors I
  • DATA 211 - Programming with Data

When considering Computer Science courses, it’s important to ensure that programming is a main component of the course, regardless of the language used, although Python is what is used most frequently in the program itself.

Calculus / Linear Algebra:

Statistics:

  • STAT 205 - Introduction to Statistical Inquiry,
  • STAT 217 – Introduction to Statistics II,
  • STAT 321 – Introduction to Probability,
  • STAT 327 - Statistics for the Physical and Environmental Sciences

TRANSCRIPTS:

Unofficial transcripts (those uploaded or supplied by the student) can be used to evaluate an admission application to speed up the admission process. You can upload your unofficial transcripts in your Student Centre, which is accessible with your Student ID. Admission would then be offered contingent on the receipt of your transcripts by a certain date.

Official transcripts are those received by the University of Calgary directly from the issuing institution.

Official transcripts are those received by the University of Calgary directly from the issuing institution.

Where do I mail my transcripts to?
Official transcripts are to be sent in a sealed envelope or directly emailed to the program by the issuing institution. Request your transcripts to be sent to:

Data Science and Analytics 
Department of Computer Science, ICT 602
2500 University Drive NW
Calgary, Alberta T2N 1N4

When transcripts are emailed, the transcript retrieval instructions should be emailed directly to the program administrator (datascience@ucalgary.ca) by the institution or their third party contractor, with the transcript to be downloaded from a secure site by the Data Science program using a unique link/password (not sent as an attachment).

No, we are able to retrieve internal transcripts, and do not require them to be sent to the program.

We do not accept transcripts through WES or any other third party service.


INTERNATIONAL APPLICANTS:

If your original documents are not in English, we require both the original documents or certified true copies of each of your official transcripts and degree certificates in the original language, in the original sealed envelope, sent directly from the issuing University, and an English translation from the issuing University or a notarized word-for-word English translation of a duplicate copy of that origin

If you completed your previous studies in a country other than Canada, you can look up the grade equivalency for your country here: https://www.ucalgary.ca/future-students/graduate/international

We do not accept transcripts through WES or any other third party service.

Recent federal legislation stipulates that only certified consultants may offer advice about immigration issues. I have been instructed by International Student Services (ISS) at the University of Calgary to direct any permit or immigration inquiries directly to their office, who specialize in this area. You can go to http://www.ucalgary.ca/iss/immigration  for details, or contact international.advice@ucalgary.ca  for email inquiries

Do you have a question about the program? Get in touch