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  • 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

    Job Title

    Salary*

    Data Scientist

    $129,000

    Computer and Information Research Scientist

    $133,750

    Computer Systems Analyst

    $111,350

    Market Research Analyst

    $87,550

    Operations Research Analyst

    $89,300

    *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.

    Related Programs


    Drexel University offers a variety of Graduate Minors that can be added to any master's degree program.
    State restrictions may apply to some programs.

    Curriculum

    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.

    Required Courses  
    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  
    Total Credits 45.0

    *No more than 5 elective courses may be taken outside of the Computer Science department.

    Admissions Criteria

    • 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
    • GPA of 3.0 or higher, in a completed degree program, bachelor’s degree or above

    Required Documents

    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
    • Resume
    • Additional requirements for International Students

    Computer Requirements

    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.

    Tuition

    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 AlumniMilitary 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.

     

    Academic Calendar

    2019-2020 Academic Year

    Term

    Classes Begin

    Classes End

    Exams Begin

    Exams End

    Fall 2019

    September 23, 2019

    December 7, 2019

    December 9, 2019

    December 14, 2019

    Winter 2020

    January 6, 2020

    March 16, 2020

    March 17, 2020

    March 21, 2020

    Spring 2020

    April 6, 2020

    June 8, 2020

    June 9, 2020

    June 13, 2020

    Summer 2020

    June 22, 2020

    August 30, 2020

    September 2, 2020

    September 5, 2020


    2020-2021 Academic Year

    Term

    Classes Begin

    Classes End

    Exams Begin

    Exams End

    Fall 2020

    September 21, 2020

    December 5, 2020

    December 7, 2020

    December 12, 2020

    Winter 2021

    January 4, 2021

    March 13, 2021

    March 15, 2021

    March 20, 2021

    Spring 2021

    March 29, 2021

    June 5, 2021

    June 7, 2021

    June 12, 2021

    Summer 2021

    June 21, 2021

    August 28, 2021

    August 30, 2021

    September 4, 2021

    Apply today for the Master’s in Artificial Intelligence & Machine Learning Online

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