MS in Software Engineering - ITU
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Overview
MS Software Engineering
MS Computer Science
MS Information Cybersecurity
Master of Science in Software Engineering
ITU’s Computer Science Department focuses on the software engineering and computer science disciplines. Both programs in the department place primary emphasis on the technical aspects of building and modifying high quality software systems.
Courses are available in software design, software ethics, software architectures, web programming, computer graphics, and network programming.
This graduate engineering program offers an advanced curriculum designed to hone the next generation of engineering leaders, entrepreneurs, and researchers. ITU’s Bay Area campus is ideally located for students targeting a career in Silicon Valley at institutions like NASA AMES, Lawrence Livermore National Laboratory, or Lam Research.
58%
of students are involved in internships
54
countries represented in our student body.
>50%
Annual Earnings are double the national average in Silicon Valley.
25% Less Fee:
Compared to Average Tuition for a Master’s Degree in The US. “
Finance and Fee
”.
Curriculum
Our 39 credit hour curriculum is completed in 16 months. The 39 credit hours are composed of core courses, electives, cross disciplinary electives, capstone or thesis, and an internship.
For the Class Schedule for the current term, click here.
Program Structure
Degree Requirements
Credits
Core Courses
Required Capstone Courses
Required ITU Presents
Required Nugget Courses
Internship
Elective Courses
23
Total
39
CORE COURSES
SWE 600 Advanced Software Engineering
SWE 557 Artificial Intelligence and Machine Learning Programming
SWE 685 Software & Cloud Architecture
CAPSTONE COURSES
SWE 690 Capstone Project or
SWE 695 Masterʼs Thesis
ITU PRESENTS
PRE-500 ITU Presents (1/3) *Students must take three ITU Presents courses for a total of 1credit hour.
ITU NUGGET COURSES
Nuggets courses are typically coded between IDS 500 and IDS 599. For more details, consult the Chair Department.
INTERNSHIP
INT 593 Internship
Elective Courses
1. With approval from the Computer Science Department any course from:
• Department of Business Administration
• Department of Engineering Management
• Department of Electrical and Computer Engineering
2. Internship: Click
here
to know more
3. Transfer Credits: Up to 9 credit hours from a graduate program of a regionally accredited school with department chairʼs approval.
List of Electives for all 3 MS Programs
In each of the 3 MS programs (MSCS, MSICS, MSSE) Electives must be chosen from the list below so that the total number of credit hours is at least 39. All electives count in each program, except when explicitly stated otherwise.
SWE 557 Artificial Intelligence and Machine Learning Programming
ICS 602 Cryptography and Advanced Cybersecurity »
ICS 503 Cybersecurity & Network Defense
ICS 530 Ethical Hacking & Attack Countermeasures
CSC 515 Mobile Applications (iOS Android and IoT)
CSC 529 Mobile Games Cross-Platform Development C# with Unity
SWE 645 Blockchain and Peer to Peer Software
SWE 565 Advanced Database Systems
CSC 526 HTML/CSS Programming & JavaScript
ICS 635 Penetration Testing
ICS 566 Python for Pentesters
DGA 530 Games Design and Programming 3D/ VR/ XR
ICS 637 AI for Cyber Defense: Harnessing Advanced Technologies for Cybersecurity
CSC 681 Advanced Computer Algorithms & Data Structures
CSC 521 Advanced OO Programming with Java and Python
CSC 657 Deep Learning Programming
SWE 685 Software & Cloud Architecture
AMS 510 Linear Algebra
AMS 512 Applied Mathematics Methods
AMS 520 Optimization Techniques
AMS 530 Numerical Analysis
AMS 540 Discrete Mathematics
AMS 552 Probability, Statistics, and Reliability for Engineers
AMS 722 Advanced Applied Mathematics Methods
CSC 501 Discrete Structures
CSC 502 Principles of OS & Distributed
CSC 505 The UNIX/Linux OS
CSC 509 C Programming
CSC 511 OO Programming with C++
CSC 512 Data Structures
CSC 518 OO Programming with Java
CSC 519 Android Phone Application Development
CSC 520 Python Programming
CSC 522 R Language Programming
CSC 525 HTML/CSS Programming
CSC 527 Mobile Web Programming
CSC 530 JavaScript Programming
CSC 532 Client Programming with JS/ jQuery
CSC 535 Server Programming With PHP
CSC 545 Programming In GO
CSC 550 Big Data
CSC 555 Bio Informatics
CSC 560 Introduction to Data Science
CSC 575 Topics in Computer Science
CSC 580 Computer Algorithms
CSC 610 Ruby on Rails
CSC 615 Angular JS
CSC 620 Programming Language Theory
CSC 625 Advanced HTML5
CSC 630 Scala Programming
CSC 631 Data Mining
CSC 633 Machine Learning
CSC 640 Artificial Intelligence
CSC 650 Big Data Analytics (CPO-SAS/ SPSS)
CSC 660 Advanced Data Science
CSC 680 Advanced Computer Algorithms
CSC 688 Special Topics (1to 3 credit hours)
CSC 689 Independent Study (1to 3 credit hours)
CSC 720 Formal Methods
CSC 730 Cryptography & Cryptanalysis
CSC 750 Coding Theory
ECE 502 Advanced Python Applications
ECE 503 AI Math fundamentals with Python application
ECE 505 Machine Learning Fundamentals
ECE 655 Deep Learning Fundamentals (Keras/TensorFlow 2.0, Pytorch)
ECE 656 Reinforcement Learning (Pytorch)
ECE 657 Natural Language Processing (Keras/TensorFlow 2.0, Pytorch)
ECE 660 Parallel Implementation of ML Algorithms with GPUs (Python Mumba programming, Cuda programming with C++)
ECE 661 AI application development in Engineering and Science (self-driving cars, advanced computer vision/face recognition, AI application in Cybersecurity) ECE 662 AI application development in business (Fintech/algorithmic trading)
ECE 663 Machine Learning project deployment and production (dockers and Kubernetes, Edge AI, iPhone/Android deployment)
ICS 520 Personal Computer Security
ICS 525 Principles of Ethical Hacking
ICS 535 Cloud and Virtualization Security (CPO)
ICS 550 Security Policies
ICS 570 Web Security Fundamentals
ICS 620 Computer Malware
ICS 630 Digital Forensics Technology
ICS 670 Network & Data Security
ICS 680 Theory of Cryptographic Systems
ICS 688 Special Topics (1to 3 credit hours)
ICS 689 Independent Study (1to 3 credit hours)
IDS 573 Python for Pentesters Fundamentals
SWE 500 Software Engineering
SWE 518 User Interface Design & Implementation
SWE 525 Version Control Tools/GIT
SWE 540 SQA/Manual Testing
SWE 542 SQA/manual/auto/perf Testing
SWE 544 SQA/Software Testing Tools
SWE 546 SQA/Performance Testing
SWE 550 Software Project Management (CPO-ACP)
SWE 560 Principles of Database Systems
SWE 561 Cloud Computing
SWE 562 Oracle Database Management/ Administration
SWE 570 Internet of Things Architecture and Security
SWE 600 Advanced Software Engineering
SWE 602 Software Requirements Elicitation
SWE 632 Software Risk Management
SWE 633 Software Refactoring
SWE 680 Software Architecture
SWE 688 Special Topics (1to 3 credit hours)
SWE 689 Independent Study (1to 3 credit hours)
Admission Requirements
Click
here
for Admission Requirements.
Who
should apply
This graduate engineering program is geared towards competitive, mathematically-inclined students with a high level of technical expertise, and who are interested in pursuing a career in research, biomaterials, or in emerging technologies. Graduates will be prepared for leadership roles in labs, global engineering programs, and institutes like NASA AMES or Lam Research.
Apply Now
What You Will Learn
Coursework in software ethics, software architectures, and software quality assurance and testing is supplemented by labwork, capstone projects, and a wealth of career resources.
Learning Outcomes
Be able to identify and apply current and emerging software engineering technologies required for the creation of reliable, predictable, well-engineered software systems.
Be able to utilize multiple programming paradigms, including object-oriented, functional, logic, and emerging programming technologies.
Show understanding of SE principles and practices as described in the SWEBOK, and other emerging software development processes.
Develop sufficient soft skills to be able to interact with stakeholders from multiple disciplines on the systems engineering level.
Have working skills in SE management including team building, leadership, project planning, selection of tools and processes appropriate to a project.