MS in Computer Science - ITU
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Computer Science Department
Overview
MS Software Engineering
MS Computer Science
MS Information Cybersecurity
Master of Science in Computer Science
With a focus on cutting-edge and emerging technologies, the Computer Science program at ITU can prepare you for a successful career as a computer scientist in fields like technology, research, business, finance, and more.
In ITU’s M.S. Computer Science program, you’ll prepare for a successful career as a computer scientist or in any field that utilizes computerization. As essential portion of your studies will be dedicated to understanding and researching algorithms, as well as developing new ones. You’ll master operating systems, compilers, internals of databases, visual and sound recognition, and robotics—as well as acquire in-depth theoretical knowledge to contribute to computerization in fields not yet discovered.
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.
Program Structure
Degree Requirements
Credits
Core Courses
Required Capstone Courses
Required ITU Presents
Required Nugget Courses
Internship
Elective Courses
23
Total
39
CORE COURSES
CSC 681 Advanced Computer Algorithms & Data Structures
CSC 521 Advanced OO Programming with Java and Python
CSC 657 Deep Learning Programming
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
In each of the 3 MS programs (MSCS, MSIC, 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.
List of Elective Courses for all 3 MS Programs
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
ITU’s Computer Science program is ideal for students who want to acquire in-demand technology skills while learning in a collaborative and entrepreneurial environment in Silicon Valley.
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Learning Outcomes
Lead and organize Information Technology (IT) implementations at companies and institutions.
Invent and improve algorithms for storing, accessing, processing, and analyzing data.
Invent real-time computation methods for analysis and processing of data in robotics on optical, sound, and other real-time data from digital sensors
Create innovative and useful features for modern operating systems such as multiprocessor, multiprocessing, and distributed.
Contribute to research and development of algorithms in all areas that are now and in the future subject to computerization.
Clearly explain Computer Science concepts in research, development, and educational institutions.
Show proficiency and skills in the most important areas of state of the art computer science.