Intelligent Systems and Data Science

Brock’s new program, The PhD in Intelligent Systems and Data Science (ISDS) is a thesis-based program that targets the need for highly qualified scientists to tackle challenges in artificial intelligence & machine learning, integrated smart systems, modern software systems, statistical/mathematical modelling & analytics, and big data infrastructure.

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Questions?

We are pleased to answer any questions about the program, goals and enrollment. Please contact our program team.

To reach the Graduate Program Director please contact Ke Qiu

The program is offered jointly by the Department of Computer Science and the Department of Mathematics and Statistics.

Graduates will proceed to research and/or teaching careers in academia, industry, government, and the community. 

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Our Ph.D. in Intelligent Systems and Data Science is unique in many ways:

  • The degree title and focus areas are distinct throughout Ontario and Canada.
  • This interdisciplinary degree directly acknowledges the fundamental and intrinsic relationship between computer science, mathematics, and statistics.
  • The degree strives to foster a cohesive interdisciplinary program and community of students.
  • The qualifying examination requires students to write a research grant application. This experience will give students unique training in grant preparation.
  • The program allows students to gain experience in developing and applying advanced AI algorithms, complex software systems, data analytics tools, and statistical models.

Why Choose Intelligent Systems and Data Science at Brock University?

  1. Expand Career Opportunities: With a degree in Intelligent Systems and Data Science, students will be primed for top-tier positions in one of the fastest-growing sectors in the global job market.
  2. Practical Skills: The program offers hands-on experience, ensuring that students are not only theoretically sound but also equipped with practical skills needed in real-world scenarios.
  3. Interdisciplinary Learning: Intelligent Systems and Data Science are inherently interdisciplinary. At Brock University, students will gain exposure to a variety of domains, ranging from computer science to business analytics, ensuring a holistic learning experience.
  4. Stay Ahead of the Curve: With the rapid advances in technology and increasing reliance on data, expertise in Intelligent Systems and Data Science is more than just a skill – it’s a necessity. By choosing this program, students are setting themselves up for a future-proof career.
  5. Networking: Being part of a prominent university program ensures opportunities to connect with industry leaders, attend workshops, and participate in internships that can pave the way for a promising career.

Embark on a journey that promises a bright future. Choose Intelligent Systems and Data Science at Brock University, and lead the next wave of technological innovation!

Career Opportunities:

  1. Data Scientist: Tasked with deriving meaningful insights from vast amounts of data using various statistical, mathematical, and computational methods.
  2. Machine Learning Engineer: Specializes in designing and implementing machine learning applications.
  3. Data Engineer: Focuses on building robust, efficient, and reliable data pipelines.
  4. Business Intelligence Analyst: Uses data to inform business decisions, often creating visualizations and reports for stakeholders.
  5. AI Specialist: Develops algorithms and models that can perform tasks without using explicit instructions.
  6. Research Scientist (AI & ML): Works on cutting-edge technologies and methodologies in AI and machine learning.
  7. Data Analytics Consultant: Offers solutions to businesses based on data-driven insights.
  8. Robotics Scientist: Designs and tests robots and autonomous systems.
Learn More

Admission requirements

  1. Check the university requirements and the program requirements.
  2. Complete the online application and submit the non-refundable application fee.
  3. You will need to submit your transcripts as well as the following program specific materials:
    • Three academic references
    • Completed Statement of Research Interest that indicates potential supervisors
    • CV
    • GRE Scores (general or math test) optional
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Career outcomes

Research and Teaching careers where they can tackle challenges in artificial intelligence and machine learning, mathematical modeling and analytics, and big data infrastructures:

  • Academia
  • Education
  • Government
  • Community

Research and Development Careers in Business and Industry where logical thinking, problem solving, and knowledge of qualitative methods are required:

  • Software Development
  • Information Technology
  • Startup companies
  • Business Intelligence
  • Insurances, Finances and Marketing
  • Medical and technological fields