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Master's

Artificial Intelligence and Machine Learning, MSAIML

Drexel University School of Computer and Information Sciences 49 courses 45-46 total credits

About This Program

The Master of Science in Artificial Intelligence and Machine Learning provides a strong foundation in the artificial intelligence and machine learning fields with foci on mathematical foundations, algorithms, tools, and applications as they pertain to artificial intelligence and machine learning. Students will pursue an applied or computational track and will gain competency in fundamental methods and techniques in artificial intelligence and machine learning. Their fundamental understanding will be applied to real data sets and data analysis tasks with the help of state-of-the-art technologies, tools, and platforms.β€―The Master of Science in Artificial Intelligence and Machine Learning program culminates with a two-term capstone experience where students work on a real world or research problem using the knowledge they have gained throughout the program.

Degree Requirements

Total Credits 45-46 credits

Applied

Code Course Title Credits
CS 501 or CS 570 Introduction to Programming or Programming Foundations 3
CS 614 Applications of Machine Learning 3
INFO 629 Applied Artificial Intelligence 3
DSCI 501 Quantitative Foundations of Data Science 3
DSCI 511 Data Acquisition and Pre-Processing 3
DSCI 521 Data Analysis and Interpretation 3
DSCI 631 Applied Machine Learning for Data Science 3
DSCI 632 Applied Cloud Computing 3
DSCI 641 Recommender Systems 3
INFO 623 Social Network Analytics 3
INFO 659 Introduction to Data Analytics 3
CS 502 Data Structures and Algorithms 3
CS 503 Systems Basics 3
CS 510 Introduction to Artificial Intelligence 3
CS 613 Machine Learning 3
DSCI 691 Natural Language Processing with Deep Learning 3
INFO 612 Knowledge-based Systems 3
INFO 692 Explainable Artificial Intelligence 3
CT 620 Security, Policy and Governance 3
INFO 508 Information Innovation through Design Thinking 3
INFO 590 Foundations of Data and Information 3
INFO 608 Human-Computer Interaction 3
INFO 693 Human-Artificial Intelligence Interaction 3
INFO 725 Information Policy and Ethics 3

Computational

Code Course Title Credits
CS 510 Introduction to Artificial Intelligence 3
CS 613 Machine Learning 3
CS 615 Deep Learning 3
CS 660 Data Analysis at Scale 3
DSCI 501 Quantitative Foundations of Data Science 3
DSCI 511 Data Acquisition and Pre-Processing 3
DSCI 521 Data Analysis and Interpretation 3
DSCI 631 Applied Machine Learning for Data Science 3
DSCI 632 Applied Cloud Computing 3
INFO 623 Social Network Analytics 3
INFO 659 Introduction to Data Analytics 3
CS 521 Data Structures and Algorithms I 3
CS 522 Data Structures and Algorithms II 3
CS 525 Theory of Computation 3
CS 540 High Performance Computing 3
CS 567 Applied Symbolic Computation 3
CS 616 Robust Deep Learning 3
CS 770 Topics in Artificial Intelligence 3
ECES 521 Probability & Random Variables 3
MATH 504 Linear Algebra & Matrix Analysis 3
MATH 510 Applied Probability and Statistics I 3
CS 583 Introduction to Computer Vision 3
CS 589 Responsible Machine Learning 3
CS 610 Advanced Artificial Intelligence 3
CS 611 Game Artificial Intelligence 3
CS 614 Applications of Machine Learning 3
CS 618 Algorithmic Game Theory 3
CS 630 Cognitive Systems 3
DSCI 641 Recommender Systems 3
DSCI 691 Natural Language Processing with Deep Learning 3
INFO 629 Applied Artificial Intelligence 3
INFO 693 Human-Artificial Intelligence Interaction 3
BMES 547 Machine Learning in Biomedical Applications 3
ECE 612 Applied Machine Learning Engineering 3
ECE 613 Neuromorphic Computing 3

Optional Coop Experience

Code Course Title Credits
COOP 500 Career Management and Professional Development for Master's Degree Students 1
Total Optional Coop Experience 0-1 credits

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