Frequently Asked Questions - Graduate Program

COURSES AND SCHEDULING:

Yes, the admission portal is now open. Applications may be submitted beginning November 1, 2019 for the Fall 2020 semester.

Fall 2020 Application Deadlines

Canadians and Permanent Residents: 

  • Applications received by May 15, 2020 will automatically be considered for the Fall 2020 semester. 
  • Applications received between May 16 and August 20, 2020 will be accepted but may be considered for a later term. 
    • Please note applications submitted during this period are required to be complete. To be considered complete the application will need to include:
      • Unofficial transcripts*
      • Resume
      • Paid application fee – application assessment will not commence until the application fee has been paid

International students:

  • Application Deadline was February 1, 2020 (now closed).
  • Applicants interested in applying after the deadline will be considered on a case-by-case basis. Contact datascience@ucalgary.ca for more details.

 

*for the Fall 2020 semester we will be working on solutions for students who are unable to access their official transcripts due to COVID-19

Yes, the program will begin accepting applications for Winter 2021 on March 1, 2020. Please note: our Winter intake will only be for a part-time course schedule. Enrolling as a part-time student can have implications, see the International Student Services' Immigration Page and the Government of Canada’s Eligibility Criteria for more details. The intention is for students to take DATA 602 and 603 in Winter 2021, and DATA 601 and 604 in Fall 2021.

Winter 2021 Application Deadlines

Canadian and Permanent Residents:

  • Applications received by August 15, 2020 will automatically be considered for the Winter 2021 semester.
  • Applications received between August 16 and December 15, 2020 will be accepted but may be considered for a later term. 
    • Please note: applications submitted during this period are required to be complete. To be considered complete the application will need to include:
      • Official transcripts
      • Resume
      • Paid application fee – application assessment will not commence until the application fee has been paid

International students:

  • Application Deadline: June 15, 2020 -- extended from June 1, 2020
  • Applicants interested in applying after the deadline will be considered on a case-by-case basis. Contact datascience@ucalgary.ca for more details.

Yes, our application portal is now open for both international applicants as well as Canadian/Permanent Residents. This semester will offer options for both full-time and part-time applicants. 

Fall 2021 Application Deadlines

Canadians and Permanent Residents:

  • Applications received by April 15, 2021 will automatically be considered for the Fall 2021 semester. 
  • Applications received between April 16 and August 20, 2021 will be accepted but may be considered for a later term.
    • Please note applications submitted during this period are required to be complete. To be considered complete the application will need to include:
      • Official transcripts
      • Resume
      • Paid application fee – application assessment will not commence until the application fee has been paidInternational students:

International students:

  • Application Deadline: February 1, 2021 
  • Applicants interested in applying after the deadline will be considered on a case-by-case basis. Contact datascience@ucalgary.ca for more details.

Fall is devoted to our Certificate program's courses DATA 601-604. 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.

Our Diploma classes (DATA 605-624) run exclusively in the Winter semester. Classes will run Monday through Thursday, in the evening from 5pm - 7:45pm.

We additionally anticipate offering our Certificate's DATA 602 and 603 in Winter 2021, however this will be subject to student demand. To this end we will also be accepting applications for students to enter in Winter 2021.

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.

Students looking to enroll on a Part-Time basis would take DATA 601 and 604 in Fall 2020. We anticipate offering DATA 602 and 603 in Winter 2021, however this will be subject to student demand.

Students can expect approximately 20 hours of work per week for from September – April, 2 consecutive terms, culminating in a certificate; this includes 5.5 hours per week of in-class learning, with the remaining time devoted to assignments, research etc. done independently.

 

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.

In response to the COVID-19 global pandemic, all Data Science classes in Fall 2020 will be offered exclusively online, as opposed to an in-class model. Students will be expected to remotely attend courses according to the schedule that they are registered for. We are working to find ways to maintain the level of networking opportunities offered in previous semesters and intend to offer events online.  

Whether Winter 2021 and Fall 2021 classes will be held in-person or online will be determined in the coming months.

Since its inception, our program exclusively utilized an in-class model, that allowed for ample interaction and collaboration between students, and encouraged networking.

In response to the COVID-19 global pandemic, all Data Science classes in Fall 2020 will be offered exclusively online, as opposed to an in-class model. Students will be expected to remotely attend courses according to the schedule that they are registered for. We are working to find ways to maintain the level of networking opportunities offered in previous semesters and intend to offer events online.  

Whether Winter 2021 and Fall 2021 classes will be held in-person or online will be determined in the coming months.

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

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.


GENERAL:

Official Transcripts:

We are very aware and empathetic to the issues COVID-19 has created globally; many institutions are closed, or unable to deliver official transcripts to other institutions on behalf of the student.

Applicants without access to official transcripts (issued by the institution) are able to have their applications assessed using unofficial transcripts (those uploaded by the student to their Student Centre after an application has been submitted). Once an application has been assessed, we will work with the applicant to determine whether the official transcripts can be received by a certain deadline, or whether an exception can be made.

 

English Language Proficiency Exams:

As in-person tests have been cancelled or postponed, the Faculty of Graduate Studies, which governs our program has made a contingency plan for instances such as this:

On a temporary basis, the University of Calgary will accept both the Duolingo English Test and the TOEFL iBT Special Home Edition specifically for admission in the Fall 2020, and Winter 2021 terms for graduate programs. PLEASE NOTE: TOEFL iBT should be used as the preferred test in any country that it is available.

See https://grad.ucalgary.ca/future-students/temporary-admission-regulations-covid-19 for full details.

 

Course Offerings:

We are currently developing an online offering for Fall 2020. We are working to ensure that the same hands-on learning style and networking opportunities that existed in-person will be available in an online setting. As this decision was made in mid-May 2020, there are no further details are available at this time. We will be updating our website and sending out communications as soon as more information is available. 

 

Immigration:

See https://www.ucalgary.ca/student-services/iss/covid-19-faqs for information at a University of Calgary level. See https://www.canada.ca/en/immigration-refugees-citizenship/news/notices/pgwpp-rules-covid19.html for details made available by the Government of Canada.

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. 

If you have any questions regarding immigration/visas, federal legislation stipulates that only certified consultants may offer advice about immigration issues. Students who have been accepted to the University of Calgary will have access to International Student Services (ISS) at the University of Calgary, who are certified in this area. See the following websites for more details:

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

CLICK HERE to view the prerequisite pre-assessment for you to review. If you are comfortable answering the questions listed, this is a good indicator that you are prepared for the material found in our fast-paced, graduate level program. 


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.

Federal legislation stipulates that only certified consultants may offer advice about immigration issues. Students who have been accepted to the University of Calgary will have access to International Student Services (ISS) at the University of Calgary, who are certified in this area. See the following websites for more details:

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