A female grad student touches a touch-screen monitor displaying the Bohemian Bookshelf

Graduate Diploma in Data Science and Analytics

Elevate your career with a graduate-level 8-course diploma taught by leading professionals on campus.

Application Portal Information


Fall 2024

  • November 1, 2023:  Application start
  • March 26, 2024:  Deadline for International applicants
  • July 12, 2024:  Deadline for Canadian/Permanent Residents

Lunch and Learn

Join our Lunch and Learn to hear more about our professional programs in the rapidly evolving fields of Quantum Computing, Data Science and Analytics and Information Security. 

Our one hour session will cover all three of our professional programs and a complimentary lunch will be provided. Faculty members will also be on hand to meet prospective students and answer questions.

Next Lunch and Learn:

Date: Thursday, June 20, 2024
Location: University of Calgary, Downtown Campus
Address: 906 8 Ave SW, Calgary, 
Time: 12 - 1 p.m.


Why a Graduate Diploma in Data Science and Analytics?

The demand for professionals trained with deep data and analytical skills is disrupting the job market. There is an incredible need for data scientists and business analytics professionals to make sense of the large amounts of data that are collected, to uncover hidden solutions to complex business problems, to present useful insights to business leaders, and to make fact-based managerial decisions.

We offer a diploma with four unique specializations in Data Science and Analytics to prepare you for a job in a variety of emerging fields.

Diploma Specializations

Business Analytics

Offered by the Haskayne School of Business, this specialization will provide you with the skills needed to support data-driven business decision-making. Students will collect and interpret big data through analysis to evaluate, predict and prescribe decisions in numerous business areas.

Learn More

Data Science

Offered by the Faculty of Science, this specialization will help you gain skills for the new digital economy. You will learn how to apply the analytical tools to work in professional fields such as data analysis and cleaning, machine learning and information visualization.

Learn More

Health Data Science and Biostatistics

Offered by the Cumming School of Medicine, this specialization will provide you with the skills  to help advance precision medicine and public health. You will learn to apply analytic techniques including machine learning, natural language processing and data visualization in the world of medicine.

Learn More

Financial and Energy Markets Data Modelling

Offered by the Faculty of Science, this specialization will give you the skills to flourish in a data-driven global economy. You will learn to apply these concepts and tools in the financial and energy industries to effectively plan future trading and transactions and manage their associated risk.

Learn More

NOTE:  Once you have initiated your application, be sure to choose "Data Science and Analytics- Diploma" from the list of programs offered.

To be considered for admission to the certificate and diploma programs in data science and analytics, you must meet the requirements outlined here.

In case of discrepancies between this page and the Academic Calendar, the Academic Calendar shall prevail. The minimum requirements are the same for all three credentials in the Data Science and Analytics graduate program, as such we recommend that students apply to the highest credential they are interested in.

Tuition information can be found here.

The curriculum depends on the diploma program. In the Fall Term (from September until December), all students from the certificate and diploma programs will start together with four courses in the fundamentals of data science and analytics (DATA 601, 602, 603 and 604).   Starting in January, students proceed to the diploma phase with domain-specific courses for each specialization. An overview is provided below:

-- Fall Term (September-December) (All students will complete the 4 certificate courses in the Fall)

DATA 601: Working with Data and Visualization

DATA 602: Statistical Data Analysis

DATA 603: Statistical Modeling with Data

DATA 604: Working with Data at Scale

 

Full-time Diploma Program – Business Analytics Specialization

-- Winter term (January-April)

DATA 611: Predictive Analytics

DATA 612: Decision Analytics

DATA 613: Introductory Data Analytics

DATA 614: Advanced Data Analytics

 

Full-time Diploma Program – Data Science Specialization

 

-- Winter term (January-April)

DATA 605: Actionable Visualization and Analytics

DATA 606: Statistical Methods in Data Science

DATA 607: Statistical and Machine Learning

DATA 608: Developing Big Data Applications

 

Full-time Diploma Program – Financial Energy Markets Data Modelling Specialization

-- Winter term (January-April)

DATA 606: Statistical Methods in Data Science

DATA 607: Statistical and Machine Learning

DATA 609: Modelling of Financial Energy Markets Data

DATA 610: Advanced Modelling of Financial Energy Markets Data

 

Full-time Diploma Program – Health Data Science & Biostatistics Specialization

-- Winter Term (January-April)

DATA 621: Advanced Statistical Modelling

DATA 622: Machine Learning for Precision Health

DATA 623: Big Data in Health

DATA 624: Advanced Exploration and Visualization in Health

 

Eight months for new full-time students starting with the certificate program, or four months for full-time students laddering from the certificate program. Maximum completion time of three years for part-time students.