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Master's

Data Analytics and Engineering, Master of Science

Johns Hopkins University Whiting School of Engineering (Engineering for Professionals) 55 courses

About This Program

Applicants (degree seeking and special student) must meet the general requirements for admission to graduate study. The applicant's prior education must include the following courses: 3. Familiarity with the programing language Python (demonstrated through credit-bearing coursework, MOOC course completion with verification, or work experience). 4. Students pursuing the Simulation and Modeling Focus Area are strongly recommended to have completed Calculus III (Multivariable Calculus) or equivalent.

Degree Requirements

Provisional Courses

Code	Course Title	Credits
EN.625.108	Calculus I	4
EN.625.109 or EN.605.156	Calculus II or Calculus for Engineers	4
EN.625.240	Introduction to Probability and Statistics	3
EN.625.250	Multivariable Calculus and Complex Analysis	3
EN.605.206	Introduction to Programming Using Python	3

Core

Code	Course Title	Credits
EN.635.631	Foundations of Data Analytics	3
EN.635.782	Ethics in Intelligent Systems	3
EN.685.652	Data Engineering Principles and Practice	3
EN.685.662	Data Patterns and Representations	3

Artificial Intelligence Focus Area Core

Code	Course Title	Credits
EN.685.621	Algorithms for Data Science	3

Artificial Intelligence Focus Area Electives

Code	Course Title	Credits
EN.605.645	Artificial Intelligence	3
EN.605.724	Applied Game Theory	3
EN.605.745	Reasoning Under Uncertainty	3
EN.635.603	AI/ML Ops	3
EN.635.627	Intelligent Decision Support Systems	3
EN.695.715	Assured Autonomy	3
AS.470.743	Data Mining and Predictive Analytics	3
AS.473.602	Intelligence Analysis	3

Cybersecurity Focus Area Core Course

Code	Course Title	Credits
EN.695.601	Foundations of Information Assurance	3

Cybersecurity Focus Area Electives

Code	Course Title	Credits
EN.625.680	Cryptography	3
EN.635.676	Cybersecurity in Information Systems	3
EN.635.775	Cyber Operations, Risk, and Compliance	3
EN.695.622	Web Security	3
EN.695.721	Network Security	3
AS.470.671	Risk Management Analytics	3
AS.470.731	Privacy in a Data-driven Society	3

Data Engineering Focus Area Core Course

Code	Course Title	Credits
EN.685.621	Algorithms for Data Science	3

Data Engineering Focus Area Electives

Code	Course Title	Credits
EN.685.603	Foundations of Algorithm Analysis	3
EN.605.741	Large-Scale Database Systems	3
EN.605.788	Big Data Processing Using Hadoop	3
EN.635.601	Foundations of Information Systems Engineering	3
EN.635.632	Data Engineering for AI Systems	3
EN.635.671	Data Recovery & Continuing Operations	3
EN.685.701	Data Science: Modeling and Analytics	3
AS.470.703	Urban Data Analytics	3
AS.470.764	Survey Methodology	3

Machine Learning and Cloud Computing Focus Area Core Course

Code	Course Title	Credits
EN.685.621	Algorithms for Data Science	3

Machine Learning and Cloud Computing Focus Area Electives

Code	Course Title	Credits
EN.605.633	Social Media Analytics	3
EN.605.635	Cloud Computing	3
EN.605.646	Natural Language Processing	3
EN.605.744	Information Retrieval	3
EN.625.742	Theory of Machine Learning	3
EN.705.601	Applied Machine Learning	3
EN.705.742	Advanced Applied Machine Learning	3
AS.470.643	Text as Data	3

Simulation and Modeling Focus Area Core Course

Code	Course Title	Credits
EN.625.603	Statistical Methods and Data Analysis	3

Simulation and Modeling Focus Area Electives

Code	Course Title	Credits
EN.605.631	Statistical Methods for Computer Science	3
EN.605.716	Modeling and Simulation of Complex Systems	3
EN.625.661	Statistical Models and Regression	3
EN.625.664	Computational Statistics	3
EN.625.695	Time Series Analysis	3
EN.625.734	Queuing Theory	3
EN.625.740	Data Mining	3
EN.625.741	Game Theory	3
EN.685.640	Mathematical Reasoning and Structure for Data Science	3
AS.470.758	Data-Driven Campaigns and Elections	3

Click a course code or title to read the full course description.

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Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.

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