QS Rank:

114

Georgia Institute of Technology

Georgia
,United States

Program Rank

7

Program Name
Master of Science in Computer Science

Deadline
February 01st, 2025
Overview

The Master of Science in Computer Science (MSCS) program offered by the Georgia Institute of Technology is an exceptional opportunity for students looking to deepen their understanding of computer technology and its applications. This program is meticulously designed to provide a comprehensive education in the essential areas of computer science, equipping graduates with the skills necessary to excel in the ever-expanding tech landscape. With a strong emphasis on both theoretical foundations and practical applications, students will have the opportunity to explore a wide range of topics that are pivotal in today’s digital world. The curriculum integrates rigorous coursework with hands-on experiences, fostering a holistic learning environment that prepares students for various roles in the technology sector.
The program encompasses core subjects such as programming languages, data structures, algorithms, operating systems, and computer architecture, ensuring that students build a solid foundation in computer science principles. Alongside these core courses, students can tailor their educational journey by selecting electives that align with their career aspirations, such as machine learning, artificial intelligence, computer graphics, and more. This flexibility allows students to specialize in their areas of interest while also acquiring a broad understanding of the field. Moreover, students will be required to complete a research thesis, a significant project that encourages in-depth exploration of a chosen topic, reinforcing their research skills and practical application of knowledge.
The faculty expertise at Georgia Tech is one of the program's standout features. The faculty members consist of renowned experts in various fields of computer science, bringing a wealth of knowledge and industry experience to the classroom. Their teaching methodologies encourage collaboration, critical thinking, and innovation, challenging students to engage actively with the material and with each other. Faculty members are highly accessible, providing mentorship and guidance as students navigate through their academic and research endeavors. This supportive environment not only enhances the learning experience but also helps students to develop a professional network that can be instrumental in their future careers.
In addition to a robust curriculum and exceptional faculty, the MSCS program at Georgia Tech offers numerous research opportunities. Students have access to state-of-the-art laboratories and resources, enabling them to engage in cutting-edge research projects. The institute fosters collaboration with various research centers, promoting interdisciplinary studies that address some of the most pressing challenges in technology today. Students are encouraged to publish their findings and participate in conferences, building their resumes and enhancing their visibility in the academic community.
Furthermore, Georgia Tech has well-established connections with leading companies in the tech industry, creating numerous internship possibilities for students. These internships often lead to full-time employment after graduation, providing students with invaluable real-world experience and a competitive edge in the job market. The program boasts a high job placement rate, with graduates finding roles as Software Engineers, Data Scientists, Product Managers, Cybersecurity Analysts, and more. The median base salary for graduates stands at an impressive $110,000, reflecting the program's emphasis on preparing students for lucrative careers.
Alumni of the MSCS program at Georgia Tech have gone on to achieve remarkable success in various sectors, including academia, research, and industry. Many alumni highlight the program as a transformative experience that equipped them with the skills and confidence needed to excel in their careers. Testimonials often mention the rigorous curriculum, supportive faculty, and the invaluable connections made during their time at Georgia Tech. The strength of the alumni network adds further value to the program, providing current students with mentorship and job opportunities.
Why Study Master of Science in Computer Science at Georgia Institute of Technology?
- Rigorous curriculum that prepares students for a variety of roles in the tech industry.
- Access to distinguished faculty members with extensive industry and research experience.
- Opportunities for hands-on research projects and thesis work that enhance practical skills.
- Strong industry connections leading to internships and high job placement rates.
- Impressive median salaries for graduates, reflecting the program's effectiveness in career preparation.
- A diverse and inclusive student body that enriches the learning experience.
- Supportive alumni network that offers resources and connections for career advancement.
The program requires a minimum undergraduate GPA of 3.0 and at least 16 years of education. Additionally, prospective students must submit standardized test scores from the GRE, IELTS, or TOEFL as part of their application. The application package must also include a resume, transcripts, a statement of purpose, and letters of recommendation.
In summary, the Master of Science in Computer Science at Georgia Institute of Technology is an exceptional program that equips students with the necessary skills and knowledge to thrive in the fast-paced world of technology. With its rigorous curriculum, expert faculty, and strong industry connections, students can expect a transformative educational experience that prepares them for successful careers in various sectors. The program not only opens doors to immediate job opportunities but also lays the foundation for long-term professional growth and success in the field of computer science.

Total Tuition Fees
$45,000

Duration
18 Months

Median Salary
$1,10,000
Ranking
#44
US World and News Report
#38
The World University Rankings
#114
QS World University Rankings

Intake
Fall ( Sept - Nov )
Class Profile

Class Size
20

Average Age
24

Average Work Experience
1 Years
Diversity
Others:
1%Two or more races:
3%White:
49%Hispanic or Latino:
10%Black or African American:
10%Asian:
27%Career Outcomes

Median Earnings After Graduation
$1,10,000 / year

Graduation Rate
90%
Prospective Job Roles
Product Manager
Research Scientist
Software Engineer
Data Scientist
Cybersecurity Analyst
Web Developer
Computer Scientist
Data analyst
Machine Learning Engineer
Computer Programmer
Computer Engineer
Computer Graphics Artist
Computer Systems Analyst
Computer Science Teacher
Top recruiters

















Eligibility Criteria

At least 3 / 4 undergraduate GPA is expected.

At least 16 years of bachelor degree.
English Proficiency Tests
IELTS
7.5
TOEFL
100
Standardised Test Score
GRE
308
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Application Fee: 105
Transcript
Passport
Resume
Statement of Purpose
GRE
IELTS
Academic LOR
Professional LOR
Academic LOR
Application Deadlines
Standard Deadline | |
---|---|
Fall | Feb 1, 2025 |
Fees and Funding

Tuition Fees
$30,000 / year

Overall Cost
$45,000 / year
FAQs
- We allow applicants an additional two weeks to submit these after the deadline. They are due no later than February 14.
- If you have a three-year bachelor's degree and a post bachelor's degree including the one-year postgraduate diploma, you should be eligible to matriculate as a degree-seeking student. The Office of Graduate Studies is the ultimate arbiter regarding whether or not a student can matriculate as degree-seeking.
- The student should have an undergraduate level of proficiency in core computer science areas including operating systems, design and analysis of algorithms, formal languages and automata theory, networking and communications, theory/algorithms, and computer architecture. If any remedial coursework is needed, it will be assessed by our faculty and discussed with you during orientation.
- The following is what we recommend for applicants without a strong undergraduate background in computer science: 1. Must know how to program 2. C programming (proficient) 3. Java 4. Algorithms You can gain this knowledge through undergrad classes, MOOC, or learn it through work experience.
- Yes, you will be considered for admission. We review applications holistically in order to determine applicant’s suitability. The admissions committee considers several factors when making admission decisions; academic performance at prior institutions (GPA), experience, background, GRE test scores, statement of purpose, and letters of recommendation. In general, we expect students who enter the program to be very comfortable working with multiple programming languages such as C, Java, and Python (there is no provision within the program for make-up any deficiencies) and to have taken several more advanced topics, such as Advanced OS, Networking, Theory, and/or Algorithms.
- Prospective students may apply for admission directly into the Ph.D. program.
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