Electrical & Computer Engineering

About course

Northeastern’s Master of Science in Electrical and Computer Engineering offers the opportunity to pursue cutting-edge learning and research in the following areas: computer architecture; parallel computing; fault tolerance; performance analysis and modeling; security; embedded systems; VLSI; algorithms; data mining; testing; machine learning; machine vision and software engineering; signal and image processing; biomedical signal processing and brain-computer interface; pattern recognition; adaptive signal processing; wireless and underwater communications; information theory and coding; robust and distributed control; optics, photonics, acoustics, and magnetics sensors; radio frequency chip design; digital and mixed-signal integrated circuits; low-power very-large-scale integration; modeling and analysis of large scale power grids during normal operation and under faults; dc-dc converters, inverters, rectifiers, and ac-ac converters; as well as modulation techniques used in power electronics. This MS in Electrical and Computer Engineering program offers the following concentrations: Concentration 1: Communications, Control, and Signal Processing Concentration 2: Computer Systems and Software Concentration 3: Computer Networks and Security Concentration 4: Computer Vision, Machine Learning, and Algorithms Concentration 5: Electromagnetics, Plasma, and Optics Concentration 6: Microsystems, Materials, and Devices Concentration 7: Power Systems Concentration 8: Hardware and Software for Machine Intelligence


Programme overview

Master’s degree
Level degree
To be advised
Estimated Fee
Full-time
Programme type
English
Primary Language
24 Months
Duration

Grade & score

Test score

  • IELTS

    6.5

  • TOEFL IBT

    79

  • DUOLINGO

    105

Grade

  • GPA

    3.00

  • CGPA10

    7.50

  • CGPA5

    4.00

  • percentage

    73

  • British Degree

    Lower-second class honours

  • letter

    B