Optimize your skills
Data scientists are among the top 15 tech jobs in demand through 2023, and the demand for digitally-skilled talent in Canada is projected to reach more than 305,000 in the next three years. Claim your spot in our country's growing tech economy with a multidisciplinary education from professionals in the Faculty of Science, Haskayne School of Business and the Cumming School of Medicine, and tailor your education to your interests.
Upgrade your career
Earn a relevant graduate-level credential to advance your career.
Shift your skillset
Transition your career to tech with any background.
Get a head start
Recent grad? Stand out with a masters degree in a high-demand field.
Design your experience
Our curriculum was developed collaboratively to ensure that we provide you with a multidisciplinary education in data science and analytics that leverages the expertise of leading researchers and instructors at the university. You will learn the fundamental concepts and tools of data science and analytics, machine learning, and artificial intelligence (AI), as you refine your professional and leadership skills while developing and applying your technical knowledge and abilities. You will be able to use concepts and tools across multiple contexts, industries, and sectors. Choose your area of specialization, in either Data Science, Business Analytics, or Health Data Science and Biostatistics.
You can choose one of two pathways to achieve the Master of Data Science and Analytics degree; study full-time through the direct-entry pathway (1 year), or work at your own pace through the part-time, laddered certificate and diploma pathway (4 to 6 years).
The MDSA will require 36 units of coursework, including a 6-unit internship. You will be able to choose one of the following three specializations: (1) Business Analytics; (2) Data Science; or (3) Health Data Science and Biostatistics. You will complete 12 units of core data science and analytics courses that build and enhance your theoretical and technical proficiency in computer science and statistics, as well as 12 units in your chosen specialization, 6 units in an integrated topics course that will blend technical, business, and professional skills, and 6 units of internship.
There is no better time than the present to get training in Data Science and Analytics. The job field is still very new, so job opportunities are diverse. The program was an accelerated way to start building those skills. It allowed me to get a bit of a head start.
Tim Cruz, BComm’18
2019 graduate from the Data Science & Analytics diploma program