DURATION
4 up to 8 Months
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Request earliest start date
TUITION FEES
CAD 3,103 / per course *
STUDY FORMAT
Blended
* for International Students| 1450.93 CAD for Domestic Students| Additional fees may apply
Key Summary
Introduction
Combine math, programming & problem-solving
- Create & communicate data-driven solutions
- No experience in computer science or statistics needed
- Study online or in person
- Upgrade or change careers, no matter the industry
With the Graduate Certificate in Foundations of Data Science (GCFDS) program, you'll gain a solid foundation in data science theories, methods, and applications using complex data from a variety of fields, including business, science, health, engineering, agriculture, social science, natural resources, entertainment, communications, sports and more. In both academic and industry contexts, learn to use data management tools and gain skills in data visualization, machine learning model construction, results interpretation, and communication.
What to expect from this program:
- Learn to store, prepare, visualize, analyze, model, and communicate data
- Gain basic terminology and concepts of data science
- Understand the components of a data science workflow and
- Apply data science workflow to answer targeted questions
- Acquire advanced knowledge in data processing and machine learning, such as:
- Data cleaning
- Data wrangling
- Regression and classification tasks
- Supervised and unsupervised machine learning approaches
- Regression trees and deep neural networks
- Data visualization and communication of complex results
- Data cleaning
- Data wrangling
- Regression and classification tasks
- Supervised and unsupervised machine learning approaches
- Regression trees and deep neural networks
- Data visualization and communication of complex results
- Apply machine learning algorithms and associated tools in a cloud computing environment
- Understand limitations and ethical concerns around solving real-world problems using data collection and machine learning
- Develop competency with programming languages like Python
Career Opportunities
Career pathways
Business
- Accounting
- Computer science
- Economics
- Finance
- Management
- Marketing
- Supply-chain
- Machine learning & Artificial intelligence
Fine Arts
- Animation, design, new media & videography
- Art history, museum studies, curation & preservation
- Data visualization
- Stage management, lighting & design
Health Sciences
- Health services
- Medicine
- Nursing
- Occupational therapy & therapeutic recreation
- Public health
S.T.E.A.M.
- Agriculture
- Agronomy
- Agricultural biotechnology
- Applied statistics
- Archaeology
- Architecture
- Biology & biophysics
- Communications
- Computer science
- Economics
- Engineering
- Environmental science
- Finance
- Geography & GIS
- Kinesiology & Physical education
- Mathematics
- Materials science
- Neuroscience
- Physics
- Psychology
- Remote sensing
- Social work
- Sociology
- Urban planning
Curriculum
Courses for the Graduate Certificate in Foundations of Data Science (12.0 credit hours):
In case of discrepancies between this page and the Graduate Studies Calendar and Course Catalogue, the Graduate Studies Calendar and Course Catalogue shall prevail.
- Data Science 5010/Business Analytics 5010 - Introduction to Data Science and Analytics in Python I (3.0 credit hours)
- Data Science 5020/Business Analytics 5020 - Data Visualization (1.5 credit hours)
- Data Science 5050/Business Analytics 5050 - Data Wrangling (1.5 credit hours)
- Data Science 5110/Business Analytics 5110 - Introduction to Data Science and Analytics in Python II (3.0 credit hours)
- Data Science 5140/Business Analytics 5140 - Data Management (1.5 credit hours)
- Data Science 5180 - Final Project (1.5 credit hours)
The program consists of:
- Coursework
- Project
Admissions
Gallery
Program Tuition Fee
Scholarships and Funding
uLethbridge awards a number of internal and external scholarships, awards and bursaries. We also encourage you to utilize additional resources for award applicants, including other funding databases.
We have an admission award called the Univ. of Lethbridge Graduate Research Award (ULGRA) for which every student admitted to a full-time graduate program is considered. Please note that admission into a program is not a guarantee you’ll receive award funding. This admission award has no application and you will be assessed at the time you apply for admission. You can review the guidelines for ULGRA here.
Additionally, you will be considered for Graduate Assistantships work at the time of admission and your supervisor may be able to offer you a Research Assistantship or stipend (ask your supervisor about that possibility).
The Graduate Awards website lists many upcoming funding opportunities. Each entry provides key information about the funding opportunity, including the application deadline and information on how to apply
Program delivery
Length of program
- Full-time: 4 months
- Part-time: 8 months
Campus
- Lethbridge
- Virtual