Master of Engineering in Electrical and Computer Engineering—Duke Kunshan University

Program Code: K-EGR-ECE
Degree Designation: Master of Engineering
Department: Electrical & Computer Engineering Department
Website: iapse.dukekunshan.edu.cn/ece

Program Summary

Duke Kunshan University (DKU) is a partnership of Duke University and Wuhan University to create a world-class university offering a range of academic programs and conferences for students from China and throughout the world. Duke Kunshan University is located in Kunshan, Jiangsu province, China. Located near both Shanghai and Suzhou, and connected to both by high- speed rail, the city of Kunshan is a center for business and has been one of the fastest growing economies in China.

This two-year master’s degree program is built upon Duke’s Master of Engineering Program in electrical and computer engineering. This program was designed with Chinese industrial needs in mind—exposing students to US-style education as well as modern Chinese industry practices and industry standards. Seeking to develop tech leaders with a global perspective, the program affords students the opportunity to learn business and industrial management fundamentals, as well as core engineering skills. The curriculum as a whole is designed to develop engineers who have the knowledge, leadership skills, and creative problem-solving abilities necessary to thrive in the global tech sector.

Students enrolled in the two-year program will spend their first year at Duke Kunshan University and their second year at Duke in the Pratt School of Engineering. Upon graduation, students will receive a Duke Master of Engineering degree and become alumni of both Duke University and Duke Kunshan University.

Academic Requirements

30 credits

• Industry Preparatory Courses (complete all)

  • MENG 540  Management of High Tech Industries

  • MENG 570  Business Fundamentals for Engineers

• Concentration Areas (complete any subrequirement, 15 credits)

  • Data Analytics and Machine Learning (complete all)

    • ECE 580K  Introduction to Machine Learning

    • ECE 586K  Vector Space Methods with Applications

    • ECE 551K  Programming, Data Structures, and Algorithms in C++

    • ECE 581K  Random Signals and Noise

    • Elective (3 credits)

      • ECE 582, ECE 587, ECE 588, ECE 682D, ME 542, ME 548, STA 601

      • CEE 690 (topic: NUMERICAL OPTIMIZATION)

      • ECE 590 (topics: AUTONOMOUS SYSTEMS ENGINEERING; TEXT DATA AQUISITION ANALYSIS; TEXTUAL DATA ACQ.&ANALYSIS; TXT DATA ACQUISITION ANALYSIS)

      • ECE 590K (topic: Introduction to Deep Learning)

      • ME 555 (topics: AUTONOMOUS SYSTEMS ENGINEERING; HUMAN FACTORS ENGINEERING)

  • Software Development (complete all)

    • ECE 650K  Systems Programming and Engineering

    • ECE 651K  Software Engineering

    • ECE 550K  Fundamentals of Computer Systems and Engineering

    • ECE 551K  Programming, Data Structures, and Algorithms in C++

    • Elective (3 credits)

      • ECE 553, ECE 555, ECE 558, ECE 563, ECE 564, ECE 565, ECE 566

      • ECE 590 (topics: ENGINEERING ROBUST SERVER SOFT; ENTERPRISE STORAGE ARCH; ENTERPRISE STORAGE ARCHITECTUR)

• General Electives (9 credits)

  • ECE 899 (can count up to 2 times)

  • AIPI 510 to AIPI 590

  • BME 500 to BME 850

  • CEE 500 to CEE 500

  • COMPSCI 507 to COMPSCI 699

  • CYBERSEC 510 to CYBERSEC 590

  • ECE 500 to ECE 781

  • EGRMGMT 510 to EGRMGMT 590

  • FINTECH 510 to FINTECH 590

  • IDS 590 to IDS 990

  • ME 500 to ME 775

• Internship/Project and Assessment (complete all)

  • MENG 550K  Master of Engineering Internship/Project

  • MENG 551  Master of Engineering Internship/Project Assessment

• Additional Requirements (complete all)

  • ECE 701K  Being a Successful ECE Masters Student

  • GS 720K  Academic Writing for EFL Students

  • GS 721K  Academic Communication Skills