May 20, 2026  
Ohio University 2026-2027 Undergraduate Catalog 
    
Ohio University 2026-2027 Undergraduate Catalog

Accelerated Graduate Pathway: Electrical and Computer Engineering


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Accelerated Graduate Pathway code: NDAG19

Russ College of Engineering and Technology 
Electrical Engineering and Computer Science, School of
Stocker Center 171
Athens, OH 45701
740.593.1492
www.ohio.edu/engineering/eecs

Wojciech Jadwisienczak, contact person
jadwisie@ohio.edu

Program Overview

The Accelerated Graduate Pathway: Electrical and Computer Engineering program provides outstanding students the opportunity to earn a Bachelor of Science (B.S.) in Electrical Engineering while completing some courses towards a Master of Science in Electrical Engineering.

Admissions Information

Students will be eligible to apply for conditional admission to the AGP after completing 68.5 credit hours of courses in the Electrical Engineering and Computer Science curriculum; conditionally admitted students will be eligible to enroll in courses after completing 83.5 credit hours in the EECS curriculum.

Application is limited to students who:

  1. Are enrolled in the Electrical Engineering Major with Computer Engineering Track (B.S.) 
  2. Achieve a cumulative GPA of 3.25 or higher or a cumulative GPA of at least 3.0 with a GPA of 3.5 or higher in the most recent 30 hours. 
  3. Achieve a grade of ‘C’ or better in the following required junior-level Computer Engineering courses: CS 3000 , CS 3610 , EE 3954 , EE 3613 , EE 3334 , EE 3343 , EE 3713 , EE 3753 , EE 3513 , EE 3214 .*

*Note: While a ‘C’ or better is the required minimum grade for entry into the AGP, no more than six (6) semester hours of grades at B-, C+, or C may be applied toward the Master of Science in Electrical Engineering degree requirements.

Opportunities Upon Graduation

The Accelerated Graduate Pathway (AGP) program is intended to allow students to take courses towards a graduate degree while enrolled as an undergraduate student. As such, students are expected to pursue graduate coursework upon completion of their undergraduate degree.

Requirements

Students may complete up to 9 hours of graduate-level coursework under the AGP, with up to nine hours applying to the undergraduate degree requirements. The EECS courses available to be taken for dual-credit in the AGP program are all dual-listed engineering technical electives (4XXX/5XXX) as well as any required undergraduate courses that have a corresponding graduate-level version.

Note: the undergraduate program allows senior electives and technical electives to count toward the undergraduate program. Only graduate versions of courses in the senior elective and technical elective categories would count toward the graduate program requirements. 6XXX-level EE or CS courses may be taken before the conferral of a BSCpE. However, for 6XXX-level courses, students are advised to meet with the instructor to review their preparation before registering for the course. 

Register for the graduate version (5XXX) of the dual-listed course and it will also count for the undergraduate course (4XXX) in the undergraduate degree requirements.

Any EE5XXX and any CS5XXX graduate courses and 6XXX courses listed below will be 
available for the AGP involving BSCpE: 

  • EE 5003 Computational Tools for Engineers (3 credits) 
  • EE 5143 Design of Digital Circuits (3 credits) 
  • EE 5183 Micro and Nano Fabrication (3 credits) 
  • EE 5213 Feedback Control Theory (3 credits) 
  • EE 5313 Optoelectronics and Photonics (3 credits) 
  • EE 5323 Solar Cells and Photovoltaics (3 credits) 
  • EE 5403 Microwave Theory and Devices (3 credits) 
  • EE 5523 Introduction to Electric Power System Engineering and Analysis (3 credits) 
  • EE 5673 Embedded Systems (3 credits) 
  • EE 5683 Computer Architecture (3 credits) 
  • EE 5713 Communication Engineering (3 credits) 
  • EE 5773 Foundations of Hardware Security (3 credits) 
  • EE 5853 Electronic Navigation Systems (3 credits) 
  • EE 6033 Inertial Navigation Systems (3 credits) 
  • EE 6053 Satellite-Based Navigation Systems (3 credits) 
  • EE 6063 Integrated Navigation Systems (3 credits) 
  • EE 6103 Vehicle Control (3 credits) 
  • EE 6183 Nanoelectronics Devices and Applications (3 credits) 
  • EE 6333 Integrated Optoelectronics and Photonics (3 credits) 
  • EE 6633 Architecture of Parallel Computers (3 credits) 
  • EE 6663 Pattern Recognition (3 credits) 
  • EE6673 Interconnect. Networks for High-Performance Computing Systems (3 credits) 
  • EE 6713 Digital Signal Processing (3 credits) 
  • EE 6743 Information Theory (3 credits) 
  • BME 5170 Data Mining With Applications in the Life Sciences (3 credits) 
  • CS 5000D Introduction to Discrete Structures (3 credits) 
  • CS 5060 Computation Theory (3 credits) 
  • CS 5120 Parallel Computing I (3 credits) 
  • CS 5150 Data Science 
  • CS 5160 Problem Solving with Bioinformatics Tools (3 credits) 
  • CS 5180 Statistical Foundation for Bioinformatics (3 credits) 
  • CS 5200D Organization of Programming Languages (3 credits) 
  • CS 5350 Fundamentals of Game Engine Design 
  • CS 5420 Operating Systems (3 credits) 
  • CS 5440 Data Communications (3 credits) 
  • CS 5610D Data Structures (3 credits) 
  • CS 5750 Internet Engineering (3 credits) 
  • CS 5800 Artificial Intelligence (3 credits) 
  • CS 5880 Game AI 
  • CS 6050 Parallel Computation Theory (3 credits) 
  • CS 6060 Computational Complexity (3 credits) 
  • CS 6120 Real Time Systems (3 credits) 
  • CS 6150 Computational Genomics (3 credits) 
  • CS 6250 Computer Graphics and Visualization (3 credits) 
  • CS 6410 Medical Image Analysis (3 credits) 
  • CS 6420 Artificial Intelligence in Medicine (3 credits) 
  • CS 6440 Advanced Topics in Computer Networking (3 credits) 
  • CS 6571 Software Specification (3 credits) 
  • CS 6572 Software Design (3 credits) 
  • CS 6573 Software Implementation (3 credits) 
  • CS 6800 Advanced Topics in Artificial Intelligence (3 credits) 
  • CS 6820 Artificial Intelligence: Case-Based Reasoning (3 credits) 
  • CS 6830 Machine Learning (3 credits) 
  • CS 6840 Natural Language Processing (3 credits) 
  • CS 6850 Computer Vision (3 credits) 
  • CS 6860 Information Retrieval and Web Search (3 credits) 
  • CS 6880 Deep Reinforcement Learning 
  • CS 6890 Deep Learning (3 credits) 
  • CS 6040 Advanced Algorithms (3 credits)

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