Master of Science in Applied Artificial Intelligence (2024)

Degree Programs Master of Science in Applied Artificial Intelligence

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At a Glance

Earn your master’s degree online in just 20 months.

Summer, Fall and Spring Start Dates

20 Months

30 Units

$965

September 3

August 2

Program Details

Quick Facts

Program consists of five semesters: two courses per semester, and seven weeks per course (taken one at a time).

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Program Overview

Admission Requirements

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YOUR FUTURE IN ARTIFICIAL INTELLIGENCE

TRAINING AI EXPERTS FOR CAREER SUCCESS

The University of San Diego’s innovative online AI master’s degree program is committed to training current and future artificial intelligence professionals for the important and fascinating work ahead. The strengths of our program include a significant emphasis on real-world applications, ethics, moral responsibility, and social good in designing AI-enabled systems.

Designed to prepare graduates for success in this vitally important and fast-growing field, this master’s in applied artificial intelligence online degree program has been developed by AI experts in close collaboration with key industry and government stakeholders to provide in-depth practical and technical training. This cutting-edge program:

$116,510

Average salary reported by MS-AAI graduates

$15.7trillion

AI’s potential addition to global economic growth by 2030

Where MS-AAI Graduates Work

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who is this program for?

Our applied artificial intelligence master’s degree program is ideally suited to those with a background in science, mathematics, engineering, healthcare, statistics, or technology.

Potential candidates for the University of San Diego’s online AI master’s degree program include:

  • Offers a robust, state-of-the-art online learning experience that guides students in mastering the technical skills, practical expertise, and soft skills necessary for career success.
  • Employs highly skilled faculty with a passion for teaching, many of whom are applied artificial intelligence practitioners in key roles at a wide range of commercial, academic, and government organizations.
  • Integrates ethics, social good, and moral responsibility in applying artificial intelligence tools and techniques across the entire curriculum.
  • Is one of the nation’s only 100% online master’s in artificial intelligence programs.

We ask that applicants review the complete list of our admission requirements before applying.

USD Artificial intelligence STUDENT INSIGHTS

FROM THE AAI Academic Director & Faculty

Master of Science in Applied Artificial Intelligence

Job opportunities in AI are rising rapidly in various industries. Our mission is to offer one of the most practical artificial intelligence Master’s programs for online learners at USD. In the AAI program, our graduate students develop and practice technical and soft skills that are critical for building and deploying AI solutions ethically and socially.

My time working in the tech industry has taught me that an AI specialist’s technical abilities are only as good as their ability to apply those skills in a way that creates value for their company. Our program focuses on maintaining that balance between the technical and practical, and this sets our students apart from those coming out of many other AI programs.

How to Apply

For details on admission requirements and how to begin your application, please visit our Admission Requirements page.

See Admissions Details

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Artificial Intelligence Careers

High-paying career opportunities in artificial intelligence and related disciplines continue to expand across a broad spectrum of industries, public agencies, and nonprofits. With a master’s degree, graduates are well positioned to compete for advanced leadership and management opportunities in AI.

Artificial Intelligence Programmer

  • $126,472

Artificial Intelligence Engineer

  • $164,769

Business Intelligence Developer

  • $98,283

Machine Learning Applied Researcher

  • $139,795

Applied Machine Learning Specialist

  • $121,299


Salary data from employment websites including Indeed, LinkedIn, ZipRecruiter, PayScale, Salary, Glassdoor and U.S. Bureau of Labor Statistics.

Academic Calendar

Degree candidates are admitted throughout the year to begin their degree during one of three semesters (spring, summer and fall). Students take two courses during each 14-week semester, focusing on one 7-week course at a time. This degree program can be completed in 5 semesters (20 months).

Download the MS-AAI program plan (PDF)

CUTTING-EDGE CURRICULUM

The University of San Diego’s Master of Science in Applied Artificial Intelligence degree program features an innovative, hands-on AI curriculum tailored to the needs of industries and employers.

Taught by expert practitioners, the online Master of Science in Applied Artificial Intelligence (MS-AAI) curriculum is designed to equip graduates with the technical strategies and skills they will use to apply powerful analytical tools to real-world applications in the workplace. The program culminates in a Capstone experience that pairs them with fellow students, instructors, and potential industry partners on an in-depth project that showcases their ability to apply their AI knowledge and skills.

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Featured Courses

Details

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Teaching and Learning Methods

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Recorded Lectures
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Recorded Computer Programming Videos
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Live Weekly Office Hours
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Channel-based Messaging Platform
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Supervision of Teamwork Final Projects
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Real-world Dataset Applications

Assessment Methods

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Programming-based Assignments
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Interactive Discussions
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Online Short Quizzes and Tests
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Teamwork Final Projects
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Oral Presentations
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Writing Professional Reports
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A Comprehensive Capstone

Program Goals

The University of San Diego’s online master’s degree in Applied Artificial Intelligence differentiates itself from other similar programs in several significant ways. The program:

  • Offers a robust, state-of-the-art online learning experience that guides students in mastering the technical skills, practical expertise, and soft skills necessary for career success.
  • Employs highly skilled faculty with a passion for teaching, many of whom are applied artificial intelligence practitioners in key roles at a wide range of commercial, academic, and government organizations.
  • Integrates ethics, social good, and moral responsibility in applying artificial intelligence tools and techniques across the entire curriculum.
  • Is one of the nation’s only 100% online master’s in artificial intelligence programs

accreditation

Accreditation is an important quality indicator for college and university degree programs, generally regarded as a stamp of approval that ensures you will be able to apply for financial aid and transfer your credits if you decide to switch schools. Most state universities and private non-profit universities will have a regional accreditation. The University of San Diego has earned both regional and national accreditations.

Accreditations include:

Master of Science in Applied Artificial Intelligence (21)The WASC Senior College and University Commission– WASC is a regional accrediting agency that is recognized by the U.S. Department of Education as certifying institutional eligibility for federal funding in a number of programs, including student access to federal financial aid. Learn more aboutthe importance of selecting a regionally accredited program.

MS-AAI Recognition

USD’s MS in Applied Artificial Intelligence program has been recognized for ranking as one of the top artificial intelligence programs (7th overall by Tech Guide and 12th Most Affordable by MastersinAI.org).

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EXPERT FACULTY

View Faculty

The faculty is composed of experienced artificial intelligence instructor-practitioners — real-world experts who work with students to ensure that the learning experience is contextualized for individualized development, while also sharing valuable information and insights regarding careers in AI.

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Ebrahim Tarshizi, PhD

Academic Director

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Edwin Addison, JD, MS, MBA

Adjunct Professor

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Ying Lin, PhD

Adjunct Professor

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Amit P. Manghani, MS, MBA

Adjunct Professor

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Kahila Mokhtari, PhD

Adjunct Professor

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Som Shahapurkar, PhD

Adjunct Professor

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Tuition and Financial Aid

Program tuition is competitive with other top institutions. Federal financial aid can help you fund your degree. Scholarships and grants may also be available.

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affordable tuition

Find helpful information on tuition and financial aid.

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Frequently Asked Questions

Is a GRE or GMAT required for admission?

Candidates who have a GPA above 2.75 are not required to take a GRE or GMAT; however, a standardized test such as GRE or GMAT is recommended for applicants with a GPA under 2.75.

Do I need an undergraduate degree in science or engineering?

One of the program’s admission requirements is a bachelor’s degree in Software Engineering, Statistics, Computer Science, Data Science, IT, Electrical Engineering or a related STEM field from an accredited institution. Candidates who possess real-world experience or research experience will be best positioned for acceptance into the program.

How much does the online artificial intelligence master’s degree cost in tuition?

The Master of Science in Applied Artificial Intelligence online program is 30 total credits at $965 per credit, for a total tuition of $28,950.

Please note this covers only the cost of courses; any additional expenses, such as books and other fees, are not included.

What is the duration of the program?

Designed to be completed in 20 months over five semesters, the program requires students to complete two 7-week-long courses each semester — beginning with two introductory courses — for a total of 30 academic units. The master’s degree you will earn as an online graduate student is of the same quality and rigor as that earned by campus-based students.

What skills and experience are important for success in the Master of Science in Applied Artificial Intelligence program?

Applicants should have some knowledge and experience with Calculus and Linear Algebra. Students will also be expected to have some familiarity with reading and writing computer code.

How much programming experience is required?

Applicants should have some knowledge and experience in at least one of the following programming languages: Python, C, and MATLAB.

Are there some recommended resources to help prepare for the MS-AAI program?

Here are some free recommended resources for preparing for the Master of Science in Applied Artificial Intelligence program:

Khan Academy: Calculus
Khan Academy: Statistics
Math is Fun: Statistics
Khan Academy: Linear Algebra
Active Calculus: Free open-source texts
LearnPython.org: Free interactive Python tutorial
Introduction to R by Udemy
Free Matlab tutorial

Does USD offer career development/advising support?

The University of San Diego is committed to steering you on a path toward educational and professional success. Right from the start, you’ll receive support and guidance from experienced University of San Diego advisors who are invested in helping you achieve your education goals!

Is it true you offer the MS in Applied Artificial Intelligence online for students in India? What is the difference?

Yes! We are proud to offer the MS in Applied Artificial Intelligence from the Shiley-Marcos School of Engineering to students who wish to study online in India. These students will get the same credential as an on-campus student or an online student in the US. The curriculum is just as rigorous and holistic as it is on campus, however it is globalized for the Indian audience so that the coursework applies to both Indian and the international job markets. In addition, to minimize language and cultural barriers the instructors are all from India and hired at the same standard as our campus faculty – with real-world experience and impressive academic backgrounds.

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FAQs

How difficult is masters in Artificial Intelligence? ›

Share: Contrary to the popular misconception, AI isn't complicated or hard to learn. But you must have a knack for programming, mathematics, and statistics to grasp the fundamental concepts. These skills will empower you to analyse data, develop efficient algorithms, and implement AI models.

Is a master in AI enough? ›

Pros of Master's in AI Degrees

An AI graduate degree proves to employers that you are trained and qualified to work in this evolving field. You will develop the skills needed to work in your field of interest, whether it is AI, machine learning, data science, or something else.

Is masters in ml worth it? ›

Benefits of a Master's Degree in Machine Learning

There are many perks of pursuing a master's degree in machine learning, but the most significant ones to mention are: Enhancing knowledge in the fields of machine learning, artificial intelligence, and computer science as a whole.

Is masters in AI worth it in 2024? ›

Earning a master's degree in artificial intelligence (AI) can prepare students for careers in this cutting-edge and fast-growing field. According to the Bureau of Labor Statistics, the employment of computer and information research scientists, a common career for AI professionals, will grow by 23% through 2032.

Is AI harder than computer science? ›

Computer science requires a deep understanding of algorithms while AI requires an understanding of machine learning techniques. Overall, it's clear that AI and computer science share many similarities but also distinct differences that should be recognized when discussing or comparing them.

What is the salary of an AI engineer? ›

AI Engineer salary in India ranges between ₹ 3.0 Lakhs to ₹ 22.0 Lakhs with an average annual salary of ₹ 11.9 Lakhs. Salary estimates are based on 968 latest salaries received from AI Engineers.

What is the salary of MS in artificial intelligence? ›

7.5 lakhs per year to Rs. 23 LPA. The salary range depends on experience & additional skills.

What does a master's in AI look like? ›

Graduate AI Curriculum

A Master's in Artificial Intelligence usually has one to four required courses focusing on artificial intelligence, statistical analysis, and software development. The additional courses are graduate-level computer science courses.

What to do after a master's in AI? ›

What Career Can You Have with an MS in Artificial Intelligence & Machine Learning Degree?
  1. ARTIFICIAL INTELLIGENCE SPECIALIST/DEVELOPER. ...
  2. MACHINE LEARNING ENGINEER. ...
  3. DATA SCIENCE SPECIALIST. ...
  4. MACHINE LEARNING RESEARCHER. ...
  5. MACHINE LEARNING SPECIALIST.

Will AI replace programmers in 5 years? ›

Unlikely. Nowadays, AI acts as a support system for programmers, enhancing their capabilities and efficiency. This collaborative model suggests not a replacement but an evolution of their roles.

What jobs will AI replace by 2030? ›

At a glance, here are the jobs at risk of being replaced by 2030:
  • Transportation and Warehousing. ...
  • Food Service and Retail. ...
  • Office and Admin Support Roles. ...
  • Sales and Marketing. ...
  • Healthcare and Social Assistance Roles. ...
  • Design and Visual Arts. ...
  • Healthcare Professionals. ...
  • Education Professionals.
Mar 15, 2024

Will AI replace jobs in 2025? ›

For instance, the World Economic Forum predicts that by 2025, AI and automation will displace 85 million jobs but create 97 million new roles, reflecting a significant shift in labor dynamics between humans, machines, and algorithms.

Is Artificial Intelligence a hard major? ›

Is AI engineering hard? AI engineering can be challenging, especially for those who are new to the field and have limited experience in computer science, programming, and mathematics. However, with the right training, practice, and dedication, anyone can learn and become proficient in AI engineering.

How long does a Masters in AI take? ›

A master's in AI, similar in length to other master's degrees, takes 1-2 years to finish. Students will complete 30-50 credits, depending on the program and concentration. AI related concentrations include machine learning and computer vision.

Is AI difficult than data science? ›

Which is harder AI or data science? The difficulty of AI vs data science varies based on individual aptitudes and backgrounds. AI often requires a deep understanding of algorithms, mathematics, and computer science. In contrast, data science might focus more on statistics, data analysis, and domain expertise.

Is becoming AI engineer tough? ›

Learning to become an AI engineer can be an exciting endeavor, but it's not without its challenges. It is a broad field with many subtopics, and depending on your starting point, it may take a considerable time to pick all the necessary skills and knowledge.

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