Master of Professional Studies in Applied Machine Intelligence – Online

If you’re looking for a successful career in applied artificial intelligence and machine learning in the fields of pharmaceuticals/healthcare, finance, human resources, and business ventures, the MPS in Applied Machine Intelligence program prepares you to excel in these fast-growing and highly in-demand fields—focusing on data, technology, and human literacy.

Take a quick look

We’re committed to creating an education as unique as your career path. So, whether your goal is a new career or moving up in your field, our innovative programs will get you going your way.


Customize your plan

We work with you to map your path to your goal.


Learn from experience

From real-world case studies to employer-based projects, we prepare you to manage what comes next.


Choose your focus

Whatever you’re passionate about, you’ll find the classes to sharpen your specialty.


Study anywhere, on your time

Part-time or full-time, we move at your speed, to get you where you’re going.


Full-Time, Part-Time

Entry Terms

Fall, Spring, Summer, Winter

Completion Time

12-18 months


In this program, you’ll take a multi-disciplinary approach to learning, creating well-rounded and sought-after innovators primed to utilize data and AI to inform domain-specific business decisions. Combining the disciplines of applied machine learning and artificial intelligence, data management, data analysis, and data visualization, a Master of Professional Studies in Applied Machine Intelligence teaches you to solve business problems within the rapidly growing field of artificial intelligence.

The diverse concentrations of healthcare, finance, human resources, and business ventures are a direct reflection of the AI value potential in these categories. Our program empowers students to apply AI models and algorithms to a chosen industry and focuses on the interpretation, operationalization, contextualization, and implementation of AI.

With a modular curriculum, you can easily customize your learning activities and experiences across multiple contexts both online and on-ground. Plus, you can earn your degree in less than two years.

More Details

Three Literacies

  • Technological literacy: evaluating and integrating tools, techniques and conceptual skills necessary for managing complex systems.
  • Data literacy: illustrating the significance of digital and global transformation leading to the creation of business strategies, to make data informed decisions, and to drive innovation as well as create competitive advantage.
  • Human literacy: lifelong learning, communication, and design, and leading innovation needed for guiding AI systems, including assessing and developing an ethical position, critical thinking and cultural agility.

Unique Features

  • Graduate with a portfolio of work samples that demonstrate your range and depth of competencies and skills with machine learning and artificial intelligence. 
  • Work closely with faculty from different fields and areas of expertise.
  • Our experiential AI curricula includes an introductory core, as well as an advanced core with an end-to-end AI education, with the goal to proactively and thoughtfully prepare students for the evolving technology and the challenges it presents.

Career Outlook

According to Gartner, an estimated 2.3 million AI jobs will be created by 2020. Now’s the time to prepare yourself for a changing industry by building desirable skills and experience with an MPS in Applied Machine Intelligence.

Hear more from industry experts speaking at Northeastern’s AI Symposium on how AI-related technologies will impact organizations and workers.

Experiential / Co-op opportunities

Northeastern's signature experience-powered learning model has been at the heart of the university for more than a century. It combines world-class academics with professional practice, allowing you to acquire relevant, real-world skills you can immediately put into action in your current workplace.

This makes a Northeastern education a dynamic, transformative experience, giving you countless opportunities to grow as a professional and person.

Learn About Getting Real World Experience

Get Set with a Custom Course Plan

General Requirements


Experiential Network and Capstone


Elective Courses

Complete a minimum of 10 quarter hours from the following to reach 45 quarter hours.



AI for Business Ventures


AI for Finance


AI for Healthcare


AI for Human Resources


Now Let's Talk Admissions

You know where you are headed and you've seen how our program will lead you there. So let's get going. Here's what you need to know before you enroll.

Application Requirements

  • Online application
  • Statement of purpose (500–1000 words): identifies your educational goals and expectations of the program; please be aware that the University's academic policy on plagiarism applies to your statement of purpose
  • Professional resume
  • Unofficial undergraduate transcripts (Official transcripts required at the time of admission) Reflecting degrees in engineering, computer technology, or coursework in place of Statistics.
  • Two letters of recommendation: from individuals who have either academic or professional knowledge of your capabilities such as a faculty member, colleague, or mentor, preferably one from your current employer
  • English Language Proficiency Proof: students for whom English is not their primary language must submit one of the following:
    • Official bachelor's degree transcript from an accredited college or university in the U.S, stating degree conferral and date
    • TOEFL, IELTS, or NU Global Exam scores

All students accepted to the MPS in Applied Machine Intelligence will be required to complete a Python Placement Exam upon acceptance. Those who achieve an 85% or greater will start with AI 6000 those 84% and below will have to take a required Python course in their first term that will count towards a required elective.

International Requirements

Are You an International Student? Find out what additional documents are required to apply.

Global Engagement Learn how our teaching and research benefit from a worldwide network of students, faculty, and industry partners.

Financing Requirements

Finance Your Education We offer a variety of resources, including scholarships and assistantships.

How to Apply Learn more about the application process and requirements.

Application Deadlines

Winter 2021

Recommended Admissions Deadline:
International out-of-country application complete (Start date: January 19, 2021) November 2, 2020
International in-country application complete (Start date: January 19, 2021) December 7, 2020
Domestic application complete (First half start: January 19, 2021) January 1, 2021
Domestic application complete (Second half start: February 22, 2021) February 12, 2021

Spring 2021

Recommended Admissions Deadline:
International out-of-country application complete (Start date: April 12, 2021) February 8, 2021
International in-country application complete (Start date: April 12, 2021) March 8, 2021
Domestic application complete (First half start: April 12, 2021) April 2, 2021
Domestic application complete (Second half start: May 24, 2021) May 14, 2021

Student Body Profile

Below is a look at where our Analytics alumni work, the positions they hold, and the skills they bring to their organization.


  • Where They Work

    • Dell EMC
    • JPMorgan Chase & Co.
    • ADP
    • Staples
    • Interactive Data
  • What They Do

    • Information Technology
    • Operations
    • Program and Project Management
    • Business Development
    • Entrepreneurship
  • What They're Skilled At

    • Business Analysis
    • Leadership
    • Requirements Analysis
    • Software Development Life Cycle (SDLC)
    • Project Management


Learn more about Northeastern Alumni on Linkedin.