M.Sc. in Intelligent Systems Engineering at Indiana University: Fees, Eligibility, Entry Requirements, Admission Deadlines & Scholarships

Years

 Core Modules

 Optional Modules

Year 1

• Introduction to HCI/d

• Introduction to the Intelligent Systems Engineering Program

• Introduction to selected specialization tracks (e.g., Computer Engineering, Intelligent Systems, Bioengineering, etc.)

• Mathematical Methods (choose from options like Real Variables, Numerical Methods, Partial Differential Equations, etc.)

• Engineering Cloud Computing

• Data Science Tools

• Advanced Scientific Computing

• Specialization Track Core Courses (based on chosen track):

• Bioengineering:

  • Image Processing for Medical Applications

  • Computational Methods for Biomaterials and more.

• Computer Engineering:

  • Distributed Systems

  • Advanced Computer Architecture and more.

• Cyber-Physical Systems:

  • Embedded Systems

  • Internet of Things and more.

• Environmental Engineering:

  • Fundamentals of Air Pollution

  • Environmental Toxicology and more.

• Intelligent Systems:

  • Machine Learning for Signal Processing

  • Deep Learning Systems and more.

• Nanoscale & Molecular Engineering:

  • Simulating Nanoscale Systems

  • Microfluidic Devices and Systems and more.

• Neuroengineering:

  • The Brain and Cognition

  • Foundations of Neural Science and more.

• Additional ISE Electives

• Internship-based learning

• Capstone Project

• Research Thesis