M.S. in Information Systems Engineering
offered by John Hopkins University

Private University
140 acre campus
Estd. 1876

M.S. in Information Systems Engineering
at
John Hopkins University
Overview

Develop collaborative human-machine teams to gain insights from information, make decisions, and achieve goals

Duration	24 months
Start from	Start Now
Total fee	₹20.88 Lakh
Mode of learning	Online
Official Website	Go to Website
Course Level	PG Degree

M.S. in Information Systems Engineering
at
John Hopkins University
Highlights

Earn a a degree after completion of the course

M.S. in Information Systems Engineering
at
John Hopkins University
Course details

Skills you will learn

Software development XML Python Project Management Java Data Science Object oriented programming C Data structures

Who should do this course?

Information Technology Professionals
Software Developers and Engineers
Database Administrators
Network Engineers and Administrators

What are the course deliverables?

powered by modern artificial intelligence and machine learning algorithms
Engineer and manage the lifecycle of real-world systems of systems
Assure the performance and accuracy of high-stakes and time-critical systems that are complicated by the unpredictability of intelligent components
Develop collaborative human-machine teams to gain insights from information, make decisions, and achieve goals
Secure applications that exist in highly-connected and vulnerable cyber ecosystems
Learn on your terms and select a flexible course schedule in a format that works best for you

More about this course

This course designed to provide a balance between specialization in a chosen focus area and flexibility in course selection within related fields, allowing students to tailor their learning experience while meeting specific academic standards
This course structure is quite structured and offers a lot of flexibility within specific parameters

M.S. in Information Systems Engineering
at
John Hopkins University
Curriculum

Prerequisites

Introduction to Programming Using Java

Data Structures

Discrete Mathematics

Introduction to Programming Using Python

Foundation Courses

Foundations of Software Engineering

Foundations of Information Systems Engineering

Foundations of Information Assurance

Focus Areas

Cybersecurity

Data Engineering

Enterprise Engineering

Human-Computer Engineering

Intelligent Systems Engineering

Internet of Things

Project Management

Software Engineering

CYBERSECURITY

Protecting Critical Infrastructure Against Cyber Attacks

Cyber Operations, Risk, and Compliance

Software Analysis and Design

DATA ENGINEERING

Principles of Database Systems

Linked Data and the Semantic Web

XML Design Paradigms

ENTERPRISE ENGINEERING

Engineering Data Intensive Systems

Privacy Engineering

Data Science for the Technical Leader

HUMAN–COMPUTER ENGINEERING

Principles of Human Computer Interaction

Speech Processing

Human Robotics Interaction

INTELLIGENT SYSTEMS ENGINEERING

Intelligent Decision Support Systems

Artificial Intelligence

Deep Neural Networks

INTERNET OF THINGS

Principles of Network Engineering

Advanced Topics in Network Engineering

Cyber Operations, Risk, and Compliance

PROJECT MANAGEMENT

Data Recovery & Continuing Operations

Cyber Operations, Risk, and Compliance

Building Information Governance

SOFTWARE ENGINEERING

E-Business: Models, Architecture, Technologies, and Infrastructure

Object-Oriented Programming with C++

Agile Software Development Methods

INDEPENDENT STUDY AND SPECIAL TOPICS

Information Systems Engineering Capstone Project

Independent Study in Information Systems Engineering I

Independent Study in Information Systems and Technology II

M.S. in Information Systems Engineering
at
John Hopkins University
Entry Requirements

Eligibility criteria Up Arrow Icon

Education: Bachelors degree
One year of college math which must include Discrete Mathematics or Calculus
One semester/term of Java (C++ will be accepted but the student must be knowledgeable in Java)
One semester/term of Data Structures is conditionally required for those students seeking to take selected courses from Computer Science and Cybersecurity that require Data Structures

Conditional Offer Up Arrow Icon

Yes
Students can be admitted with the conditions that they successfully complete their undergraduate studies and submit an official transcript or evaluation verifying degree conferral prior to the course Withdraw/Audit deadline for the first semester in which they are enrolled at AAP. Once the condition is met and the final transcript is received, the conditional status will be removed. Conditional students are not eligible to receive financial aid nor permitted to register beyond the term for which they have been admitted.
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