Brock University

Overview

The PhD in Intelligent Systems and Data Science at Brock University is an interdisciplinary, thesis-based program that integrates advanced artificial intelligence, machine learning, and data-driven statistical techniques. This program is ideal for researchers aspiring to develop intelligent software and analytical systems grounded in rigorous mathematical and statistical principles.

What you'll study

This doctoral program is structured to foster both research depth and technical breadth across the fields of computer science, mathematics, and statistics.

• Interdisciplinary coursework: Students engage in graduate-level studies tailored to their research interests and the expectations set by their supervisory committee.
• Qualifying examination: This includes a research grant application component, offering structured training in proposal development and research planning.
• Thesis research: Candidates conduct original research under faculty supervision, culminating in a doctoral thesis.
• Research communication: Students enhance their academic writing and presentation skills through various research milestones and thesis-related tasks.

Typical research themes may encompass:

• Machine learning methods and evaluation
• Intelligent and smart/connected systems
• Statistical and mathematical modeling for data analytics
• Big data infrastructure and scalable analytics
• Advanced software systems for research and deployment

Note: Specific course selections, examination timings, and thesis requirements are determined in consultation with the supervisory committee and program regulations.

Entry requirements

Academic background

• Applicants should possess an MSc in Computer Science, Mathematics, Statistics, or a closely related field, with a minimum overall average of 80% from an accredited institution.
• In exceptional cases, candidates may be eligible for admission with a four-year Honours Bachelor’s degree (or equivalent) in a relevant discipline, achieving an overall average of at least 85%.
• Those admitted through the exceptional pathway must demonstrate high research potential, which will be assessed by the graduate program committee.

English language proficiency

• TOEFL iBT: minimum 88
• IELTS: minimum 6.5
• PTE Academic: minimum 60

Standard application materials

• Transcripts
• Three academic references
• Statement of Research Interest (including potential supervisor alignment)
• CV
• GRE: optional (General or Math test)

Tip: A compelling Statement of Research Interest should clearly connect your previous training to specific research directions within Intelligent Systems and Data Science.

Career prospects

Graduates of the PhD program in Intelligent Systems and Data Science are well-equipped for advanced careers in academia, industry, and research institutions. They can pursue roles such as data scientists, machine learning engineers, AI researchers, and analytics consultants, contributing to innovative projects that leverage intelligent systems and big data analytics.