Computer Science Department
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.||27% Less Tuition: The average tuition for a Master’s degree at ITU is under $22,000|
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.
- 3 Core Courses (9 credit hours)
- Elective Courses (15 credit hours)
- Capstone course – Project or Thesis (3 credit hours)
- Internship (up to 9 credit hour)
- Nugget courses (up to 3 credit hours)
- ITU Presents (1 credit hour)
- ITU Nuggets (2 credit hours)
A sufficient number of Elective Courses must be completed to bring the total of credit hours to 39.
A minimum 3.0 cumulative GPA (Grade Point Average) is required for granting of the Master’s degree.
|CSC 681||Advanced Computer Algorithms & Data Structures|
|CSC 521||Advanced OO Programming with Java and Python|
|CSC 657||Deep Learning Programming|
SWE 690 Capstone Project or SWE 695 Master’s Thesis
INT 593 Internship (1 credit hour required)
Up to 9 credit hours from a graduate program of a regionally accredited school with department chair’s approval.
PRE 500 ITU Presents (1/3)
ITU Nugget Courses
1/3 credit to 2 credit courses
|IDS 558 1||Blockchain and Peer to Peer Software Sep 7, 2021 – Dec 19, 2021 | Weekend|
|IDS 525 1||Digital Forensic in Finance & Accounting Sep 7, 2021 – Dec 19, 2021 | Regular|
|IDS 520 1||Introduction to AI & Machine Learning Sep 7, 2021 – Dec 19, 2021 | Weekend|
|IDS 568 1||Introduction to Cryptography Sep 7, 2021 – Dec 19, 2021 | Regular|
|IDS 569 1||Introduction to Cybersecurity Sep 7, 2021 – Dec 19, 2021 | Regular|
|IDS 567 1||Introduction to Digital Forensics Sep 7, 2021 – Dec 19, 2021 | Regular|
|IDS 540 1||Introduction to Python Programming Sep 7, 2021 – Dec 19, 2021 | Weekend|
|IDS 570 1||Mobile and Wireless Ethical Hacking Sep 7, 2021 – Dec 19, 2021 | Regular|
|IDS 515 1||Mobile Applications (iOS, Android, and IoT) Sep 7, 2021 – Dec 19, 2021 | Regular|
|IDS 566 1||Python for Cybersecurity Sep 7, 2021 – Dec 19, 2021 | Regular|
|IDS 527 1||Python for Excel and data analysis programming Sep 7, 2021 – Dec 19, 2021 | Regular|
Elective Courses for the Three MS Programs
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.
|CSC 681 1||Advanced Computer Algorithms & Data Structures Sep 7, 2021 – Dec 19, 2021 | Regular|
|CSC 521 1||Advanced OO Programming with Java and Python Sep 7, 2021 – Dec 19, 2021 | Weekend|
|CSC 506 1||Advanced OS & Distributed System Sep 7, 2021 – Dec 19, 2021 | Regular|
|CSC 690 1||Capstone Project Sep 7, 2021 – Dec 19, 2021 | Weekend|
|CSC 657 1||Deep Learning Programming Sep 7, 2021 – Dec 19, 2021 | Weekend|
|CSC 515 1||Mobile Applications (iOS, Android, and IoT) Sep 7, 2021 – Dec 19, 2021 | Regular|
|CSC 529 1||Mobile Games Cross-platform Development C# with Unity Sep 7, 2021 – Dec 19, 2021 | Regular|
|CSC 520 1||Python Programming Sep 7, 2021 – Dec 19, 2021 | Weekend|
|AMS 510||Linear Algebra (3)|
|AMS 540||Discrete Mathematics (3)|
|AMS 750||Abstract Algebra (3)|
|AMS 760||Practical Number Theory (3)|
|CEN566||Routing in Computer Networks (3)|
|CSC505||The UNIX/Linux OS (3)|
|CSC507||Unix/Linux System Administration (3)|
|CSC509||Windows Administration (3)|
|CSC511||OO Programming with C++ (3)|
|CSC512||Data Structures (3)|
|CSC515||I-Phone Application Development (3)|
|CSC518||OO Programming with Java (3)|
|CSC519||Android Application Development (3)|
|CSC520||Python Programming (3)|
|CSC527||Mobile Web Development (3)|
|CSC570||Web Security Fundamentals (3)|
|CSC580||Computer Algorithms (3)|
|CSC633||Machine Learning (3)|
|CSC670||Network and Data Security (3)|
|CSC730||Cryptography & Cryptanalysis (3)|
|CSC750||Coding Theory (3)|
|CSC760||Advanced Topics in Data Science (3)|
|ICS550||Security Policies (3)|
|ICS520||Personal Computer Security (3)|
|ICS620||Computer Malware (3)|
|ICS630||Digital Forensics Technology (3)|
|ICS688||Special Topics (3)|
|SWE510||Information Security Countermeasures (3)|
|SWE520||Principles of Ethical Hacking (3)|
|SWE530||Cloud Computing Security (3)|
|SWE561||Cloud Computing (3)|
- Bachelor’s degree with a minimum GPA of 2.75 or a master’s degree with a minimum GPA of 3.0.
- Test of English as a Foreign Language (TOEFL) examination; Score of 72 or better for the internet-based test (iBT). Proof of English proficiency:* All applicants whose native language is not English and who did not receive either a bachelor’s or graduate degree from an English-speaking institution must take an English proficiency test.
- International English Language Testing System (IELTS) examination; Band score of 6.0 or better for the academic module. Demonstrated commitment to contribute to and complete the program
* U.S. citizens or U.S. Permanent Residents who have earned an undergraduate or graduate degree from a regionally accredited institution in the U.S. are waived from this requirement.
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.
- 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.