Applied Machine Intelligence
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.
Part-Time
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.
Looking for something different?
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.
Admissions Dates
| Recommended Admissions Deadline: | |
|---|---|
| International out-of-country application complete (Start date: September 14, 2020) | July 13, 2020 |
| International in-country application complete (Start date: September 14, 2020) | August 10, 2020 |
| Domestic application complete (First half start: September 14, 2020) | September 4, 2020 |
| Domestic application complete (Second half start: October 26, 2020) | October 16, 2020 |
| Recommended Admissions Deadline: | |
|---|---|
| International out-of-country application complete (Start date: January 11, 2021) | November 2, 2020 |
| International in-country application complete (Start date: January 11, 2021) | December 7, 2020 |
| Domestic application complete (First half start: January 11, 2021) | January 1, 2021 |
| Domestic application complete (Second half start: February 22, 2021) | February 12, 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 |
Master of Professional Studies in Applied Machine Intelligence General Requirements
Experiential Network and Capstone
Elective Courses
Complete a minimum of 10 quarter hours from the following to reach 45 quarter hours.
Concentrations
Choose one from the following:
Please note: This curriculum is for marketing purposes only and is subject to change. Official curriculum can be found within the course catalog.
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.
Our Faculty
Our faculty represents a wide cross-section of professional practices and fields ranging from finance to education to biomedical science to management to the U.S. military. They serve as mentors and advisors and collaborate alongside students to solve the most pressing global challenges facing established and emerging markets.
By enrolling in Northeastern, you gain access to a network of more than 255,000 alumni and 3,350+ employer partners, including Fortune 500 companies, government agencies, and global nongovernmental organizations. Our current students and faculty across strategically located regional locations further foster a lifelong, global community of learning and mentoring.
Below is a look at where our Analytics alumni work, the positions they hold, and the skills they bring to their organization.
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Where They Work
- Dell EMC
- JPMorgan Chase & Co.
- ADP
- Staples
- Interactive Data
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What They Do
- Information Technology
- Operations
- Program and Project Management
- Business Development
- Entrepreneurship
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What They're Skilled At
- Business Analysis
- Leadership
- Requirements Analysis
- Software Development Life Cycle (SDLC)
- Project Management
Learn more about Northeastern Alumni on Linkedin.