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College of Professional Studies

Applied AI—Connect

Master's

Gain the knowledge, skills, and confidence to harness the transformative power of AI, no matter your industry or academic background. This program requires an additional nine semester hours of credit, with courses providing intensive, hands-on guidance into the essential knowledge required for the MPS in Applied AI.

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Program Format
On ground
Time Commitment
Part time, Full time
Duration
24 Months
Entry Term(s)
Fall, Spring
Meets study permit requirements
Yes

Program overview

Become a leader in AI

The MPS in Applied AI Connect program is designed to help you break into the tech industry, no matter your undergraduate degree. With just nine additional credits of study, you can gain the skills you need for a successful career in AI.

You’ll begin the program with skill-building courses that will build your foundation in essential competencies, then focus on creating and implementing AI and machine learning technologies in the traditional program, which emphasizes collaborative learning, interdisciplinary innovation, real-world applications, and ethics.

This approach and the ability to specialize your learning through concentrations and electives equip you with the computer science, analytical, and problem-solving skills to transform your workplace through AI.

This institution has been granted a consent by the Minister of Colleges, Universities, Research, Excellence and Security to offer this program for a five-year term starting February 26, 2026. Prospective students are responsible for satisfying themselves that the program and the degree will be appropriate to their needs (e.g., acceptable to potential employers, professional licensing bodies, or other educational institutions).

Admissions

Apply to the program

A graduate degree or certificate from Northeastern can accelerate your career through rigorous academic coursework and real-world professional experience in your area of interest. Apply to take your career to the next level.

Our admissions process operates on a rolling basis; however, we do recommend the application guidelines below to ensure you can begin during your desired start term:

Domestic Application Guidelines

International Application Guidelines*

*International deadlines are only applicable if the program is F1 compliant.


  • Online application

  • Professional resumé

  • Unofficial, personal copies of transcripts from all colleges and universities attended; official transcripts are required at the time of enrollment

    • The Foreign Credential Evaluation (FCE) is a required assessment of all transcripts and documents. Please review the FCE requirements by country.

  • English language proficiency proof

  • Please refer to the CPS Apply Now page to learn about additional materials that may be required.

Program objectives

Prepare for success

In this program, you’ll build a comprehensive foundation in machine learning and AI concepts, methodologies, and applications and be prepared for careers as a developer, engineer, or data scientist.

Analytical competencies

Evaluate and employ advanced data analysis methods, data management technologies, and modern AI analytical techniques to determine the most effective ones for public and private sector challenges.

Human-focused solutions

Integrate the theory and practices of human-computer interaction and usability to analyze and design solutions to key management and ethical issues throughout the complete data lifecycle.

Real-world applications

Apply strategic and effective analysis, problem-solving, decision-making, communication, and leadership skills to implement ML and AI solutions in real-world situations.

Communication skills

Communicate complex quantitative information to different audiences using exploratory data visualization, dashboard design, scorecard design, and spatial data representation.

Connect with us

Want more information?

We’re here to answer your questions about this program, the application process, and more. Complete the form below to receive additional program details and speak with a member of our enrollment team. 

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Market outlook
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Occupations

Cost of attendance

Tuition and financial aid

  • CA$42,335
    Domestic net total tuition
  • CA$56,632
    International total tuition

Estimated Total Tuition

This is an estimate based on the tuition rates for Academic Year 2025-2026 and does not include any fees or other expenses. Some courses and labs have tuition rates that may increase or decrease total tuition. Tuition and fees are subject to revision by the president and Board of Trustees at any time. Select programs at select campuses offer additional scholarships of up to 25% off the listed price for domestic students studying on campus. For more detailed information, please visit Student Financial Services.

For students interested in pursuing financial assistance or educational loans, additional educational costs, known as Cost of Attendance (COA) components, can be included in the calculation of aid and loan eligibility. Components may include food, housing, books, course materials, supplies, equipment, transportation, personal expenses, and the cost of obtaining a first professional licensure. You can find comprehensive details on the Student Financial Services website. Please keep in mind that COA can vary significantly depending on academic program, enrollment intensity, and individual circumstances.

There are many ways to pay for your education, including scholarships, financial aid, and more. Connect with a financial counselor to learn about your options and make your dream a reality.

Visit tuition & financial aid
Studying in Toronto

Canada's centre of finance and tech

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Northeastern's Toronto campus is more than a place to study. It's a pathway to tech for students of any academic background and a source of connection with local nonprofits and tech giants alike. Here, you can take on industry-aligned master's programs on a part- or full-time basis and enjoy all that downtown Toronto has to offer.

#3

Fastest-growing tech job market in North America

(CBRE, 2024)

#2

Largest financial centre in North America

(Toronto Global, 2024)

#4

Largest tech hub in North America

(CBRE, 2024)