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.