Computer Science Acadia University

Overview

The Computer Science programme at Acadia University offers a sophisticated environment for students to advance their technical expertise and research capabilities. This graduate degree is designed to bridge the gap between undergraduate study and professional leadership or doctoral research.

Students benefit from a collaborative atmosphere within the Jodrey School of Computer Science, which maintains strong ties to the Acadia Institute for Data Analytics. This connection allows for significant engagement with industry partners and local entrepreneurs to solve complex, real-world problems using data-driven insights.

The curriculum is structured into three distinct pathways: a research-intensive thesis route, a practical project-based option, and a comprehensive course-based stream.

Why Computer Science at Acadia University?

The institution is a recognised pioneer in the field, notably being the first globally to produce a Web Census. This legacy of innovation continues through specialised research groups such as the Intelligent Information Technology Research Laboratory and the Cooperative Intelligent Distributed Systems Group.

Facilities at the university support high-level investigation into artificial intelligence, mobile computing, and multi-agent systems. Small class sizes ensure that graduate students receive personalised attention and maintain frequent contact with their faculty supervisors throughout their studies.

The programme also offers an optional Co-op Education component, allowing participants to gain eight months of paid professional experience. These industry placements are integrated into the academic journey, providing a competitive edge in the global technology job market.

Tuition Fee Breakdown

• International fee: CAD 16882 per year
• National fee: CAD 7432 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Modules may include:

Applications

• Topics in Applications in Computer Science 1
• Software Foundations
• AI in Computer Security
• Internet of Things Programming
• Neural Networks
• Machine Learning with Real-World Data

Theory

• Topics in Theory in Computer Science 1
• Advanced Algorithm Analysis
• Advanced Formal Languages and Computing Complexity
• Cryptography and Network Security
• Evolutionary Computation
• Image Processing
• Knowledge Representation and Reasoning
• Programming

Systems

• Topics in Systems in Computer Science 1
• Simulation and Modelling
• Intelligent Systems
• Data Mining
• Computer Vision
• High Performance and Parallel Computing
• Multi-Agent Systems

Core Requirements

• Research Methods in Computer Science
• Thesis
• Project

Careers with Computer Science

Graduates are well-prepared for senior roles in research and development or for pursuing a PhD in specialised computing fields. The programme's focus on artificial intelligence and data analytics aligns with high-demand sectors in the modern technology industry.

Through the Acadia Entrepreneurship Centre and local industry partnerships, students establish connections that lead to diverse career paths. Common destinations include roles in software engineering, data science, and systems architecture within both private and public sectors.