Artificial Intelligence and Machine Learning (Co-op)
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Program Overview
The two-year Artificial Intelligence (AI) and Machine Learning post-graduate co-op education program will focus on teaching students how to build, manage and administer systems that analyze big data and convert it into an autonomous task. If you're ready to build a highly in-demand skillset in artificial intelligence and machine learning, then this certificate will provide you with everything you need to hit the ground running in this fast-growing field of information technology.
international only
Yes
PGWP
Yes
CIP Code
11.0102
Program Details
Program Code
AIM1
Credential:
Ontario College Graduate Certificate
Duration
45 Weeks
International Students
Start Dates
Locations
Availability
Full Time Offerings
2025 January
London
Open
2025 May
London
Open
2025 September
London
Open
2026 January
London
Open
2026 May
London
Open
2024 September
London
Closed
Your Learning Experience
AIM1 is available to international students only. Domestic students can enrol in AIM2.
The AI and Machine Learning two-year graduate certificate program is specially designed for international students that have diverse software development backgrounds.
With a focus on deep learning neural networks, students will discover how to design and deploy cutting-edge technologies such as convolutional neural networks, recurrent neural networks and generative adversarial networks in areas such as healthcare, bioscience, manufacturing, financial services and supply chain sectors. Students will also work with mainstream technologies such as Google's TensorFlow to train various machine learning models using big data and state-of-the-art hardware.
Not only will students gain extensive technical knowledge of AI and Machine Learning, but they will also learn and apply skills in project management, communication and teamwork through hands-on, industry-based research projects and a comprehensive in-class capstone project.
In their final semester, students will complete a paid, co-operative work term with an industry partner.
Laptop and technical requirements
Please note, this program requires a laptop. It is recommended that students use a PC laptop vs. a Mac laptop, as Windows is required to be able to load program-specific software. For more information on specific requirements, visit the Laptop Requirements page on the Fanshawe CONNECTED website.
Career Information
Fanshawe’s AI and Machine Learning program will prepare graduates to take advantage of the growing opportunities in the AI and Machine Learning field of information technology. Graduates can expect to be hired as the following:
- AI Developer/Programmer - developing artificial intelligence software and applications, and programming systems based on the data collected and analyzed
- Machine Learning Developer - developing artificial intelligence systems that use big data to research, develop, and generate algorithms to learn and make predictions
- Data Analyst - collecting, processing and tracking down statistical information from datasets
- Computer Systems Analyst - maintaining and upgrading existing systems and designing new computer systems and frameworks
Related Programs
Academic School
Program Coordinator:
Jim Cooper
Academic Advisor:
Cynthia Lessard
Admission Requirements
An Ontario College Diploma, an Ontario College Advanced
Diploma, a Degree, or equivalent in Computer Science or a related
field with software development education.
International Admission Equivalencies
Admission equivalencies for Fanshawe depends on your country of study. Please enter your location to see the requirements for your country below.
English Language Requirements
English Language Requirements
Applicants whose first language is not English will be
required to demonstrate proficiency in English by one of the
following methods:
- A Grade 12 College Stream or University Stream English
credit from an Ontario Secondary School, or equivalent, depending
on the program�s Admission Requirements
- Test of English as a Foreign Language (TOEFL) test with a
minimum score of 88 for the Internet-based test (iBT), with test
results within the last two years
- International English Language Testing System (IELTS)
Academic test with an overall score of 6.5 with no score less than
6.0 in any of the four bands, with test results within the last two
years. SDS Program Requirements
- Canadian Academic English Language (CAEL) test with an
overall score of 70 with no score less than 60 in any of the four
bands, with test results within the last two years
- Pearson Test of English Academic (PTE) with a minimum score
of 59, with test results within the last two years
- Cambridge English Test (FCE/CAE/CPE): with an overall score
on the Cambridge English Scale of 176 with no language skill less
than 169, with test results within the last two years
- Fanshawe College ESL4/GAP5 students: Minimum grade of 80% in
ESL4/GAP5 Level 9 or 75% in ESL4/GAP5 Level 1
Applicant Selection Criteria
Applicant Selection Criteria
Where the number of program eligible applicants exceeds
available spaces, the Applicant Selection Criteria for this program
will be:
1. Preference for Permanent Residents of Ontario
2. Receipt of Application by February 1st (After this date,
Fanshawe College will consider applicants on a first-come,
first-served basis until the program is full)
3. Achievement in the Admission Requirements
Courses
| Level 1 | ||||
| Take all of the following Mandatory Courses: | ||||
| ACAD-6002 | Graduate Success Strategies | 1 | ||
| This course presents and helps to develop some of the skills required to achieve academic and career success for graduate students. Areas of focus include college resources, study skills, and time management among other skills. The importance of Academic Integrity will be a main focus. | ||||
| MGMT-6135 | Essential Skills for Mgmt Professionals | 4 | ||
| This course applies the principles of professional communication in the Canadian industry. It explores intercultural communication and the characteristics of diverse worldviews. Students will identify issues involved in communications and global diversity, and develop necessary skills to create professional documents that adhere to Canadian standards. Through presentations, case studies and thematic readings, students will learn written, verbal and nonverbal skills that are essential to business management, while maintaining sensitivity to issues involving geographic, cultural, gender and ability diversity. Throughout the course, students will work both individually and in groups to build their knowledge and skills needed to demonstrate professional communication within Canadian businesses. | ||||
| DEVL-6024 | Career Planning | 1 | ||
| This course introduces students to the importance of personal career management. Students will learn about, practice and use career (job) search, resume writing and interview skills. Students will also complete an individual career management project. | ||||
| INFO-6120 | Databases-Intro | 4 | ||
| An introduction to relational database system design and development, by creating a variety of simple databases, based upon typical business requirements. Students build complete database solutions incorporating multi-table relational databases, forms, reports, queries, and test data. Students will also be introduced to the Structured Query Language. | ||||
| INFO-6143 | Python Programming | 4 | ||
| This course is an introduction to the fundamentals of procedural / object-oriented programming using the Python language. Problem analysis and algorithmic thinking skills will be emphasized. Content will include data types, variables, sequence, selection, repetition, arrays, methods, and the use of an integrated development environment (IDE) tool for writing, testing and debugging code. | ||||
| INFO-6144 | JavaScript Programming | 4 | ||
| This course will introduce students to both client-side and server-side JavaScript. Students will be introduced to object-oriented programming concepts using the Document Object Model (DOM) and various HTML controls, including accompanying CSS style principles. Object creation and customization, exception-handling, event handling, and testing and debugging techniques will be covered. | ||||
| INFO-6145 | Data Science & Machine Learning | 3 | ||
| This course covers the fundamental principles and history of data science and machine learning. In addition, students will explore how to use modern tools to reorganize and restructure large amounts of unstructured textual data. | ||||
Tuition Summary
London
*Total program costs are approximate, subject to change and do not include the health and dental plan fee, bus pass fee or program general expenses.