Bachelor Of Science In Data Science

Data drives decisions across industries worldwide, and the demand for skilled professionals in data science has never been higher. The Bachelor of Science in Data Science program at the University of Regina provides you with the skills and knowledge needed to excel in the ever-growing field of data analytics, machine learning, and artificial intelligence.


What is Data Science?

Data science is an interdisciplinary field that blends aspects of mathematics, statistics, and computer science to manage, interpret, and derive insights from large data sets. It combines techniques from analytics, machine learning, programming, and artificial intelligence to help organizations make data-driven decisions and solve complex problems.

With the rapid growth in the amount of data generated across sectors such as healthcare, climate research, and biology, data science is critical for developing solutions that improve outcomes and drive innovation.


Program Overview

The Bachelor of Science in Data Science at the University of Regina is a four-year program offered collaboratively by the Department of Computer Science and the Department of Mathematics and Statistics. You’ll gain in-depth knowledge and practical experience in:

Throughout your studies, you will learn to work with large datasets, utilize statistical and machine learning techniques, and draw meaningful insights that inform strategic decision-making across industries.


Why Study Data Science at U of R?

Collaborative Learning Environment

The BSc in Data Science at U of R benefits from a strong collaborative relationship between the Computer Science and Mathematics and Statistics departments. This cross-disciplinary approach ensures that students are well-equipped with the theoretical foundation and practical skills needed in data science.

Cutting-Edge Curriculum

The program’s comprehensive curriculum covers the full spectrum of data science concepts and tools. Courses are designed to give students hands-on experience with data analysis, database management, and machine learning, preparing them to tackle real-world problems.

Industry-Relevant Skills

In addition to technical expertise, students develop essential soft skills such as problem-solving, time management, and effective communication, which are invaluable in today’s data-driven job market.


Core Courses in Data Science

Some of the key courses in the Data Science program include:

CS 210 - Data Structures and Abstractions

This course introduces fundamental data structures like stacks, queues, and trees, and covers the basics of algorithmic analysis and computational complexity.

CS 320 - Introduction to Artificial Intelligence

Learn the foundations of Artificial Intelligence (AI), including problem-solving techniques, search algorithms, and machine learning. Gain exposure to inductive learning and statistical-based learning.

CS 340 - Advanced Data Structures and Algorithm Design

This course covers graph algorithms, depth-first and breadth-first traversals, and advanced algorithmic strategies like divide-and-conquer, dynamic programming, and randomized algorithms.

CS 375 - Database and Information Retrieval

Explore the fundamentals of database management, including data modeling, querying, transaction processing, and distributed databases. You will also learn about information retrieval systems.

CS 465 - Data Mining

Focus on Knowledge Discovery from Data (KDD), including data preparation, pattern mining, classification, regression, and cluster analysis. Understand how to extract valuable insights from complex data sets.


Career Opportunities in Data Science

Graduates of the BSc in Data Science program are equipped with the skills needed for a variety of in-demand careers, including:


Why Choose U of R for Data Science?

The University of Regina offers a dynamic learning environment, cutting-edge resources, and expert faculty members who are leaders in the fields of computer science and mathematics. The BSc in Data Science is designed to help you build a solid foundation in the core principles of data science while gaining hands-on experience in industry-standard tools and techniques.


Get Started in Data Science Today

Whether you're interested in machine learning, big data analytics, or artificial intelligence, the Bachelor of Science in Data Science program at the University of Regina prepares you for a rewarding career in one of the most rapidly growing fields in the world. Apply today and start shaping the future with data.

Program Requirements
  • Academic Requirement: 70% average required
  • ELP Requirement: English Proficiency Score (Only for students of Non-English speaking countries) • IELTS: overall score of 6.5 (with no band below 6.0). • PTE: Overall 59 • TOEFL: Overall 83 ( not less than 20 ) • Duolingo : Overall 120 (not less than 105)
Refund Policy

Tuition Deposit & Partial Refund Policy for Undergraduate International Students

Undergraduate international students on a study permit are required to pay a $1,000.00 tuition deposit upon acceptance of admission. If the student's study permit application is denied, they can request a partial refund of the tuition deposit in the amount of $500.00.

Withdrawing from Courses
When you drop one or more courses by the official deadlines for your term or “part of term,” you automatically get a full or partial refund credited to your student account.

Finding Your Deadlines
Check the Academic Schedule or log in to UR Self-Service and view My Refund Schedule (or the Class Refund Schedule) to see the exact drop dates that apply to your courses.

Automatic Refund Levels
There are three refund deadlines each term:

  • Deadline 1: 100% refund of tuition and mandatory fees.

  • Deadline 2: 50% refund of tuition only (other mandatory fees are not refunded).

  • Deadline 3: No refund.

Additional Fee Adjustments
If you withdraw after Deadline 1 because of serious, unexpected events—such as your own serious illness or accident, a close family member’s death or illness, hospitalization, or an involuntary job transfer—you can apply for an extra tuition adjustment. You must submit a formal request with supporting documents; mandatory fees are not eligible for adjustment.

How Your Refund Date Is Set
We use the date you formally withdraw in Self-Service (or the date we receive your written request). If you stopped attending earlier for a documented reason (for example, the day you were hospitalized), we can use that date instead.

Part-of-Term 1 Refund Schedule
If you’re in Part of Term 1 (full semester) and withdraw after Deadline 1, here’s what you get back on tuition:

  • Week 3: 77%

  • Week 4: 69%

  • Week 5: 62%

  • Week 6: 54%

  • Week 7: 46%

  • Week 8: 38%

  • Week 9: 31%

  • Week 10: 23%

  • Week 11: 15%

  • Week 12: 8%

  • Week 13 and beyond: 0%

Withdraw later than Week 13, and you’re not eligible for a tuition refund.

Key Facts
  • Application Fee: $100
  • LOA Deposit: $1,000
  • Annual Tuition Fee: $22,000
  • Total Tuition Fee: $88,000
  • Course Duration: 4 Year
  • Credentials: Bachelor Degree
  • Intake: Sep-25
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Checklist

Checklist for UG Program’s

  • CV/Resume
  • Passport
  • Academic documents
  • Proof of English Proficiency
  • Third Party Consent Form (Signed)
  • Visa copy, PPR letter & Study permit (If Onshore)
  • Canadian address& Contact no  (If Onshore)