Data Science
Undergraduate Program Overview
All Students
Unlock the Power of Data to Shape the Future
Data is the foundation of decision-making in today’s world, and a Data Science undergraduate degree from Nipissing University will equip you with the skills to transform complex data into actionable insights. As industries continue to evolve, the demand for data-driven professionals is growing, making this program a stepping stone to an exciting career in one of the fastest-growing fields worldwide.
Program Highlights
The Bachelor of Science in Data Science at Nipissing University provides a comprehensive understanding of the principles of data science and prepares you to work in a variety of data-driven roles, including:
- Data Collection & Management – Learn how to gather, clean, and store data for analysis.
- Machine Learning & Artificial Intelligence – Master the algorithms and techniques that power predictive models and AI systems.
- Statistical Analysis & Data Visualization – Develop the skills to analyze data, identify trends, and communicate results using visual tools.
- Big Data & Cloud Computing – Understand how to manage large datasets and utilize cloud platforms for data processing.
- Data Ethics & Privacy – Examine the ethical implications of data usage and learn best practices for data security.
- Advanced Programming – Become proficient in programming languages such as Python, R, and SQL, essential for data manipulation and analysis.
Program Related Certificates:
Resources
Program Related
Why Nipissing's Data Science Program?
Comprehensive Curriculum
Gain deep expertise in data analysis, machine learning, artificial intelligence, and statistical techniques.
Hands-On Learning
Apply your knowledge through practical projects, data analysis challenges, and internships that provide real-world experience.
Small Class Sizes & Personalized Attention
Benefit from one-on-one interaction with expert faculty who are passionate about data science and student success.
Industry-Relevant Skills
Learn to solve problems using data-driven solutions and get familiar with tools and technologies used by top companies in the field.
Flexible Learning Options
Study full-time or part-time to match your personal schedule and career goals.
Admission Requirements
To qualify for admission, students must meet the General Admission Requirements, plus program specific prerequisites.
General Admission Requirements include:
Ontario Secondary School Diploma including six 4U/4M courses
Future Careers
A Data Science degree from Nipissing University equips graduates with advanced analytical, computational, and problem-solving skills to interpret complex data and support decision-making across industries. Graduates may pursue roles in:
Data Analytics & Insights
Data analysts, data scientists, statistical analysts, or business intelligence analysts.
Artificial Intelligence & Machine Learning
Machine learning engineers, AI specialists, predictive modelling analysts, or automation developers.
Business & Industry Applications
Business intelligence analysts, operations analysts, market research analysts, or data consultants.
Healthcare & Public Systems
Healthcare data analysts, health informatics specialists, or systems optimization analysts.
Finance & Risk Analysis
Financial analysts, risk analysts, investment data analysts, or quantitative analysts.
Real People, Real Impact
Kitt L.
Class of 2025
The program gave me the tools to turn curiosity into real-world impact, from uncovering patterns to making smarter decisions with data. The hands-on experiences prepared me to step into my career after graduation.
Sarah L.
Class of 2021
Program Requirements
How the Common Degree Structure Works
At Nipissing, you can choose a minor, major, specialization, or honours specialization—each offering a different level of focus and flexibility to match your goals.
Check out this breakdown of the Common Degree Structure to see how you can make your interests fit your degree.
Program Options & Course Requirements
Find required courses for each type of specialization using this link.
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Disclaimer:
While every effort is made to ensure accuracy on this site, in the event of a discrepancy, Nipissing’s Academic Calendar is the official reference.