Master of Interdisciplinary Applied Artificial Intelligence

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 2 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Next Intake TBA

Course Overview

The Master of Interdisciplinary Applied Artificial Intelligence at the University of Ottawa is designed for ambitious professionals seeking to lead in an era defined by intelligent systems. You will explore the foundational principles and advanced applications of machine learning, data science, and ethical AI, preparing you to tackle complex, real-world challenges across diverse sectors. This postgraduate programme is ideal for those aiming to develop sophisticated analytical and integration skills, fostering a broad-based perspective essential for managing and optimising intricate systems in today's technologically driven landscape.

This full-time, on-campus Master's degree is delivered over two years, immersing you in a curriculum that blends theoretical knowledge with practical application. You will engage with core subjects like machine learning, data science, and user experience principles, alongside interdisciplinary topics in engineering design and project management. Throughout your studies, you will develop critical competencies in areas such as system optimization, data analytics, and cyber security, culminating in the ability to manage complex projects and drive innovation. Graduates are prepared for impactful roles in technology, research, and strategic management.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

The Master of Interdisciplinary Applied Artificial Intelligence program offers a comprehensive curriculum designed to equip students with advanced knowledge in artificial intelligence and its practical applications. This program delves into the foundational principles of machine learning, data science, and engineering design, while also exploring critical areas such as user experience, ethics, and innovation. Students will gain expertise in project management, operations, and business intelligence, preparing them for leadership roles in diverse technological fields.

1 Course Codes and Titles:

Foundations and Applications of Machine Learning
Foundations of Machine Learning for Scientists and Engineers
Essential Concepts in Data Science
Engineering Design
Ethics for Design, AI and Robotics
User Research and User Experience Principles and Practice
Interaction Design and Design Thinking
Creativity and Innovation
Project Information Management
Product Development and Management
Taguchi Methods for Engineering R&D
Operational Excellence and Lean Six Sigma
Business Intelligence and Performance Management
Principles of Operations Management
Principles of Data Analytics
Complex Project Management
Supply Chain Management
Project Risk Management
Advanced Data Analytics
System optimization and management
Cyber Security Systems and Strategies
Strategic Knowledge Management
Integrated Networks for Enterprise

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 15,345.00
Second Year Fee Tuition fee
USD 15,345.00
Total Program Cost Estimated total tuition
USD 30,690.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 937.00 - USD 1,171.00
Food & Groceries USD 5,981.00 - USD 6,068.00
Transport USD 867.00 - USD 1,041.00
Utilities & Bills USD 1,734.00 - USD 2,167.00
Estimated Total USD 8,582.00 - USD 9,276.00

Living cost estimates are based on Ottawa Campus.

Outcomes & Employability

What happens after you graduate

97%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Corporate & Commercial LawCybersecurity & Digital ForensicsCybersecurity & Network SecurityData Science & AnalyticsHealthcare Administration & ManagementIT Support & Systems AdministrationPublic Health & EpidemiologyQuality Assurance & TestingRegulatory & Government AffairsTax & Financial Law

Top Employers Hiring for this course

Ciena

Department of National Defense

Global Affairs Canada

Government of Canada

IBM

Microsoft

Nokia

Shared Services Canada

Why Study Master of Interdisciplinary Applied Artificial Intelligence at University of Ottawa

What makes this program stand out

Top 20 in UK For Computer Science

Exeter's Computer Science department consistently ranks among the top 20 in the UK for both teaching quality and research output.

Fast Offers Quick turnaround

Exeter typically responds to applications within 2-3 weeks, giving you clarity on your options quickly.

Flexible Intakes September start

Primary intake in September with January start available for some pathways through the INTO foundation program.

Accredited Industry recognized

Accredited by BCS, The Chartered Institute for IT, meeting requirements for Chartered IT Professional (CITP) status.

Life at University of Ottawa in Canada

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Master of Interdisciplinary Applied Artificial Intelligence at University of Ottawa

Can I work while studying?

International students can work up to 24 hours per week off-campus during term time and unlimited hours during breaks. On-campus work is also available without a separate permit.

What English language score do I need for this course?

To meet English language requirements, TOEFL scores must be at least 100 overall with specific minimums in listening, reading, speaking, and writing. Alternatively, IELTS scores should be at least 7 overall with minimums of 6 in each section.

What jobs can I get after studying this course?

Possible job titles include Systems Analyst, AI Researcher, Data Scientist, and Project Manager.

What will I actually study in this course?

This program focuses on transdisciplinary work, particularly in systems analysis and the modeling of complex systems. Students will gain skills in communication, management, and the use of artificial intelligence tools.

When can I start — what are the intake months?

The intake for the Master of Interdisciplinary Applied Artificial Intelligence program is in September. Ensure to prepare your application in advance to meet all deadlines.
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