Data Analytics is a new way of understanding complex systems by building computational models that are consistent with the observed data about those systems. If you want to play a positive role in shaping the way people make important decisions based on the presentation of data, then this is the right certificate for you.
What is a Certificate?
Certificates are mini-credentials that appear on your official transcript.
- Certificates offered by the School of Computing are meant for non-Computing students.
- They are not a degree. Students looking for a Computing degree must still enrol in either the Computing Major or a Specialization.
- They typically consist of about 5 courses.
- Two of these electives/option courses (i.e., 6.0 units) can be used towards your degree requirements.
- They are a great way to set you apart from your competition when it comes to applying for jobs.
A complete list of certificates offered by the University can be found in the Certificates section of the Academic Calendar.
Requirements
The following are the requirements for the Data Analytics Certificate. This information is meant as a guide and is subject to change. The precise and up-to-date requirements for Computing programs can be found online in the University's Academic Calendar. In case of discrepancies, please notify the School's Curriculum Coordinator.
A half-year/one-term course is worth 3.0 units, while a full-year/two-term course is worth 6.0 units.
| Code | Title | Units |
|---|---|---|
1. Core | ||
| A. Complete the following: | ||
| CISC 251 | Data Analytics | 3.00 |
| CISC 351 | Advanced Data Analytics | 3.00 |
| CISC 451 | Topics in Data Analytics | 3.00 |
| B. Complete 3.00 units from the following: | 3.00 | |
| Introduction to Statistics | ||
| Statistics and Probability I | ||
| Probability I | ||
2. Option | ||
| A. Complete 3.00 units from the following: | 3.00 | |
| Data Analysis for Biologists | ||
| Digital Societies | ||
| Advanced Data Management Systems | ||
| Human Resource Analytics | ||
| Applied Data Science in Molecular Medicine | ||
| Advanced Statistical Inference | ||
| Sociology of Information and Communication Technology | ||
| Surveillance and Society | ||
| Statistics and Probability II | ||
| Probability I | ||
| Statistical Programming with SAS and Applications | ||
| Total Units | 15.00 | |
3. Notes
A. All 2.A. Option Courses require discipline-specific prerequisites.
B. No more than 6.00 units of core and option courses may be counted toward the requirements of both the Certificate and another program.
C. No more than 6.00 units of core and option courses may be transfer credits from outside Queen’s University.
Data Analytics Course List
The following list contains courses offered through other Departments. In accordance with Academic Regulation 2.6 (Access to Classes), students do not have enrolment priority in all of these courses. Access to these courses may only be made available during the Open Enrolment period, and then only if space permits.
STAT_Options
| Code | Title | Units |
|---|---|---|
| Statistics Course Options | ||
| BIOL 243 | Introduction to Statistics | 3.00 |
| CHEE 209 | Analysis Of Process Data | 3.00 |
| COMM 162 | Managerial Statistics | 3.00 |
| ECON 250 | Introduction to Statistics | 3.00 |
| GPHY 247 | Introduction to Statistics | 3.00 |
| KNPE 251 | Introduction to Statistics | 3.00 |
| NURS 323 | Introduction to Statistics | 3.00 |
| POLS 285 | Introduction to Statistics | 3.00 |
| PSYC 202 | Statistics in Psychology | 3.00 |
| SOCY 211 | Introduction to Statistics | 3.00 |
| STAM 200 | Introduction to Statistics | 3.00 |
| STAT 263 | Introduction to Statistics | 3.00 |