Master’s in Artificial Intelligence & Machine Learning Online
Master of Science in Artificial Intelligence & Machine Learning
Drexel University’s online MS in Artificial Intelligence & Machine Learning is an interdisciplinary program structured around three focus areas: data science and analytics, theory of computation and algorithms, and applications of artificial intelligence and machine learning. Designed for current practitioners, you’ll work with real datasets and state-of-the-art tools and systems to build knowledge and experience that can be used immediately in the workplace.
A strong background in computer science is required for this program. For those who do not have a bachelor’s or master’s degree in computer science, Drexel’s Graduate Certificate in Computer Science can serve as the entry point into the program.
The 45-quarter credit MS in Artificial Intelligence & Machine Learning is housed in Drexel’s College of Computing and Informatics. Faculty have active research experience in machine learning, computer vision, game AI, data science, cognitive science, high performance computing, software engineering, applied machine learning in gaming, and applied machine learning in security.
The MS in Artificial Intelligence & Machine Learning will prepare you to:
- Analyze a problem and identify and define the use of artificial intelligence and/or machine learning as appropriate to its solution
- Understand the implementation and use of existing artificial intelligence and/or machine learning tools and systems
- Apply mathematical foundations, algorithmic principles, and computational knowledge in the modeling and design of artificial intelligence and machine learning systems
- Design, implement, and evaluate a computer-based artificial intelligence and machine learning system, process, component, or program to meet a specific need
- Apply sound software engineering principles in the construction of computer-based artificial intelligence and machine learning systems
- Understand the ethical aspects of artificial intelligence and machine learning, and communicate these aspects as part of result interpretation
- Understand and communicate the legal and ethical aspects of using artificial intelligence and machine learning in societal contexts
What is an MS in Artificial Intelligence?
The MS in Artificial Intelligence covers theories and principles in artificial intelligence – a branch of computer science that focuses on creating machines that can perform tasks with human-like intelligence.
Is a Master’s Degree Required For Machine Learning?
While a master’s degree is not required for machine learning, it can help you stand out in the field, especially if you don’t have previous work experience in machine learning or AI. Drexel’s program focuses specifically on artificial intelligence and machine learning foundations, algorithms, and systems.
What Can You Do with a Master’s in Artificial Intelligence?
According to a 2018 LinkedIn report, AI skills were among the fastest-growing skills on the platform, and there was a 190% global increase from 2015-2017.
Common jobs within the industry include:
- Data Scientist
- Software Engineer
- Deep Learning Engineer
- Algorithm Developer
- Computer Vision Engineer
How Much Can You Earn with an MS in Artificial Intelligence & Machine Learning?
Artificial Intelligence & Machine Learning Career Opportunities
Computer and Information Research Scientist
Computer Systems Analyst
Market Research Analyst
Operations Research Analyst
*Data from Wanted Analytics
How Long Does It Take to Complete an MS in Artificial Intelligence?
The MS in Artificial Intelligence & Machine Learning can be completed on either a full- or part-time basis. You can complete the degree in as little as two years.
Unlike many universities, most of Drexel’s programs operate on a quarter system. Each quarter term is 10 weeks long, and there are four quarters in Drexel’s academic year. To learn more about Drexel’s quarter system, check out our online guide.
This program is organized into four 10-week quarters per year (as opposed to the traditional two semester system) which means you can take more courses in a shorter time period. One semester credit is equivalent to 1.5 quarter credits.
|CS 510||Introduction to Artificial Intelligence||3.0|
|CS 591||Artificial Intelligence and Machine Learning Capstone I||3.0|
|CS 592||Artificial Intelligence and Machine Learning Capstone II||3.0|
|CS 613||Machine Learning||3.0|
|CS 615||Deep Learning||3.0|
|Elective Courses *||30.0|
|One course must be selected from each of the following areas. The remaining seven courses may be selected from any focal area or a maintained list of approved courses.|
|Data Science and Analytics|
|CS 610||Advanced Artificial Intelligence|
|CS 660||Data Analysis at Scale|
|CS 661||Responsible Data Analysis|
|CS 770||Topics in Artificial Intelligence|
|DSCI 511||Data Acquisition and Pre-Processing|
|DSCI 521||Data Analysis and Interpretation|
|DSCI 631||Applied Machine Learning for Data Science|
|INFO 623||Social Network Analytics|
|INFO 629||Applied Artificial Intelligence|
|INFO 634||Data Mining|
|INFO 659||Introduction to Data Analytics|
|Foundations of Computation and Algorithms|
|CS 521||Data Structures and Algorithms I|
|CS 522||Data Structures and Algorithms II|
|CS 525||Theory of Computation|
|CS 567||Applied Symbolic Computation|
|CS 618||Algorithmic Game Theory|
|CS 620||Advanced Data Structure and Algorithms|
|CS 621||Approximation Algorithms|
|CS 650||Program Generation and Optimization|
|DSCI 501||Quantitative Foundations of Data Science|
|ECES 521||Probability & Random Variables|
|ECES 523||Detection & Estimation Theory|
|MATH 504||Linear Algebra & Matrix Analysis|
|MATH 510||Applied Probability and Statistics I|
|Applications of Artificial Intelligence and Machine Learning|
|CS 511||Robot Laboratory|
|CS 583||Introduction to Computer Vision|
|CS 611||Game Artificial Intelligence|
|CS 612||Knowledge-Based Agents|
|CS 618||Algorithmic Game Theory|
|CS 630||Cognitive Systems|
|CS 634||Advanced Computer Vision|
|DSCI 691||Natural Language Processing with Deep Learning|
|ECES 620||Multimedia Forensics and Security|
|BMES 547||Machine Learning in Biomedical Applications|
- A four-year bachelor's or master’s degree from a regionally accredited institution in Computer Science, Software Engineering, or related STEM degree, plus work experience equal to Drexel's Graduate Certificate in Computer Science
- Those without the above will have to complete the Graduate Certificate in Computer Science program (with grade B or better in each course) prior to admission to the master’s degree
- GPA of 3.0 or higher, in a completed degree program, bachelor’s degree or above
With multiple ways to submit documents, Drexel makes it easy to complete your application. Learn more by visiting our Completing Your Application Guide.
- A completed application
- Official transcripts from all universities or colleges and other post-secondary educational institutions attended (including trade schools)
- Graduate Record Examination (GRE) Scores (scores must be five years old or less) are recommended for International students and domestic students below a 3.0 GPA
- One letter of recommendation required, two suggested
- Essay/Statement of Purpose
- Additional requirements for International Students
You must have access to a computer that meets or exceeds the minimum configuration outlined in the College of Computing and Informatics's Computer and Technology Requirements Guide.
The tuition rate for the academic year 2020-2021 is $1342 per credit.
- This program is eligible for Financial Aid.
- Special tuition rates available for Drexel University Alumni, Military members, and members of our Partner Organizations
- These rates apply only to new online students and students being readmitted.
- Tuition rates are subject to increase with the start of each academic year in the fall term.
- All students must contact applyDUonline@drexel.edu within the first two weeks of the term to request tuition savings for which they qualify.
- Special rates cannot be combined. If you qualify for more than one special rate, you'll be given the one with the largest savings.
- When receiving special tuition plans with Drexel University Online, you may not combine them with other tuition benefits that may be available from Drexel University.
2019-2020 Academic Year
September 23, 2019
December 7, 2019
December 9, 2019
December 14, 2019
January 6, 2020
March 16, 2020
March 17, 2020
March 21, 2020
April 6, 2020
June 8, 2020
June 9, 2020
June 13, 2020
June 22, 2020
August 30, 2020
September 2, 2020
September 5, 2020
2020-2021 Academic Year
September 21, 2020
December 5, 2020
December 7, 2020
December 12, 2020
January 4, 2021
March 13, 2021
March 15, 2021
March 20, 2021
March 29, 2021
June 5, 2021
June 7, 2021
June 12, 2021
June 21, 2021
August 28, 2021
August 30, 2021
September 4, 2021