The one-year Specialized Diploma in Applied Data Science & Analytics is designed for working professionals or individuals with education in relevant disciplines to advance their careers. The curriculum focuses on Data visualization and wrangling, Design of Experiments, Business Analysis, and ML frameworks that help individuals to enhance their careers as Data Scientists/Analysts.
The program concentrates on teaching real practical skills with hands-on workshops using Python and real-world analytical problems. The course has a capstone project that involves building a data product using the skills from the course material.
Successful interview with school administration required of all applicants. Students must meet ONE of the following criteria:
Standard Admission
- Alberta high school diploma, verified by transcript, or non-Alberta equivalent.
- High School diplomas that are not from Canada must be verified by IQAS or the World Education Services Gateway Program.
- 55% in Math 30-1 or 60% in Math 30-2 and 55% in English language Arts 30-1 or 60% English Language Arts 30-2.
Mature Admission
- Must be 18 years or older.
- Must complete an academic achievement test to demonstrate required competency.
- Passing score on CAST level 3 OR Grade 12 equivalent on Wonderlic (Verbal 303-321; Quantitative 294-313)
Additional Requirements
In addition to the criteria listed above, all applicants must:
- Minimum 1 year experience working in related discipline. OR,
- Prior Knowledge in Data/Software Development or related discipline. It will be evaluated and tested as part of admission screening process. OR,
- 1 year Certificate/Diploma in the field of IT/Business/Data related courses.
Residency and English Language Proficiency requirements
Graduates of this course can earn upto $80K-$150K per year. For more info please visit Government of Canada - Alberta Wages
Graduates of a Applied Data Science and Analytics program have a range of career opportunities available to them in various sectors. Here are some potential career paths:
- Data Scientist/Analytics
- Junior Data Analytics
- Technical Analyst
- System and Data Analyst
- Data Engineer
