Data Analytics (Post-Degree Diploma)
Curriculum Guideline
Effective Date:
Program code
PDDATA
Discontinued
No
Program
Faculty
Commerce & Business Administration
Department
Computing Studies & Information Systems
Credential type
Post-Degree Diploma
Transcript title
Data Analytics PD Diploma
Date of first offering
Start term
202330
End term
Not Specified
Credential
Post-Degree Diploma in Data Analytics
Length of program
One year
Credits
30.00
Admissions requirements
Applicants must meet the admission requirements listed below:
- General College Admission Requirements
- Applicants must have an undergraduate degree from a recognized post-secondary institution in Canada or an equivalent credential from an approved institution of a different country. Any applicant who earned their credential in a language other than English must meet the Douglas College English language proficiency requirement.
- Applicants with an undergraduate degree other than Science, Technology, Business, or Math/Statistics will need to show proficiency in Business / Technology field by way of extra course work / work experience and can be evaluated on a case by case basis.
Curriculum framework
Graduation Requirements
- Successful completion of 30 credits
- In good academic standing
- 70% (21 credits) of all coursework must be completed at Douglas College
- Must achieve a program GPA of 2.00 or higher
- Effective September 2024: Up to 50% (15 credits) of coursework used towards a previously received credential can be used to meet graduation requirements (see the Credentials Awarded Policy).
- Time limit to complete the program graduation requirements: 4 years. Any courses completed outside of that time limit will not be usable. Students may seek the permission of the Department/Program to complete a credential outside the approved time limits.
Course Requirements:
| Course Number | Course Title | Credits |
| Select one course from the following two options: | ||
| BUSN 2429 | Business Statistics | 3.00 |
| MATH 1160 | Introduction to Statistics | 3.00 |
| Required Courses: | ||
| CSIS 1175 | Introduction to Programming - I | 3.00 |
| CSIS 2200 | Systems Analysis and Design | 3.00 |
| CSIS 2300 | Database I | 3.00 |
| CSIS 3290 | Fundamentals of Machine Learning in Data Science | 3.00 |
| CSIS 3300 | Database II | 3.00 |
| CSIS 3360 | Fundamentals of Data Analytics | 3.00 |
| CSIS 3860 | Data Visualization | 3.00 |
| CSIS 4260 | Special Topics in Data Analytics | 3.00 |
| Select one course from the following options: | ||
| ACCT 3880 | Data Analytics for Managers | 3.00 |
| BUSN 3380 | Operations Management | 3.00 |
| BUSN 3390 | Continuous Improvement | 3.00 |
| BUSN 3431 | Business Statistics II | 3.00 |
| BUSN 3600 | Project Management Essentials | 3.00 |
| CMNS 3502 | Social Media & Reputation Management | 3.00 |
| CSIS 1280 | Multimedia Web Development | 3.00 |
| CSIS 3280* | Backend Web Development | 3.00 |
| CSIS 3380* | Full Stack Development With Javascript | 3.00 |
| MARK 1120 | Introductory Marketing | 3.00 |
| MARK 4360* | Customer Relationship Management | 3.00 |
| Total Credits | 30.00 | |
*Any pre-requisites for electives will not be counted towards the PDD.