Coding. More Coding. Definitely Coding.
Oh, wait did I mention Coding?
You will understand this, if and only if you are a Computer Science Engineer.
All the other engineering departments and the people your parents ever knew assume that Computer Science is only about coding.
While they are not wrong, they are also not wholly right.
From software Development to Robotics there is much more to Masters in CS than just coding.
As a CS engineer, you must be aware of how crucial it is to find your cup of tea in an ever-growing digital world.
The competition that you will be facing is pretty humongous.
No matter what your forte is for Masters in CS, there is always a huge crowd waiting in line.
What you do about it is what makes you stand out from the rest.
From Data Science and Artificial Intelligence to Human-Computer Interaction, everything is FP growth tree that branches out as a new subject.
And there is always someone reaching out to the branch like you.
With new programming languages created within the blink of an eye, you need to make sure you are on top of your game.
So what are the branches or twigs that we have been talking about?
We were referring to the most popular fields for masters in Computer Science in terms of research, job opportunities and applications.
What are they?
| Courses | Best Universities | Description |
| Data Science | Columbia University, University of California | Data science focuses on the concepts of statistics, decision making and programming. Courses offered on data science by many universities and include subjects like Statistics and probability, Visual analytics and computational math. |
| Database Management Systems | University of Maryland, Arizona State University | Database Management System involves definition, updation and retrieval of data from a given database. |
| Artificial Intelligence | Carnegie Mellon University, Stanford University, Massachusetts Institute of Technology | Artificial intelligence focuses on the study of machines and research on the possibilities of making them work smart. That is with the least or without any kind of human intervention. |
| Machine Learning | Carnegie Mellon University, Stanford University, Massachusetts Institute of Technology | Machine learning is a subset of artificial intelligence that is based on the idea of feeding the machine with data as they learn and reciprocate the process by themselves. |
| Deep Learning | Carnegie Mellon University, Stanford University, Massachusetts Institute of Technology | Deep learning is a progressive subset of machine learning which itself is a part of Artificial Intelligence. Deep learning deals with creating and memorising patterns, enabling the system to take decision based calls and choices. |
| Robotics | University of Pennsylvania, Massachusetts Institute of Technology | Robotics deals with the creation, construction and application of robots and computer information systems to control them and derive information from them. |
| Human-Computer Interaction | Carnegie Mellon University, Georgia Tech, University of Washington | HCI deals with the process of designing and implementing interfaces and technologies that adapt to the needs of the people and their experience of interacting with the computer. |
| Computer Architecture & Engineering | University of Michigan – Ann Arbor, University of Texas – Austin, University of Illinois | This field deals with the organisation, and the factors determining runtime and execution as well as an elaboration on the interplay between hardware and software. |
| Operating Systems & Networking | UT Austin, U Mich Ann Arbor | Operating system is essential for the execution of the application programs. Networking Engineering is about implementing computer network overseeing and support. |
So as you can see that there are many specializations to choose from, by the way if you want a sure shot checklist for your Masters Admissions, check out our eBook today.
These are the few branches and graduate programs that are available for someone who wants to do their Masters in CS. There are more than 1400 universities for masters in CS in the US.
Which university is the right fit for you? Which University provides the best Masters in Computer Science?
That totally depends on the branch you want to do your Masters in Computer Science. Because some universities provide the best masters courses on Data-Science. While some provide the best opportunities for specialization courses in robotics.
The International Masters Database is collated based on the information on the University Websites and other verified sources.
Massachusetts Institute of Technology
Location: Cambridge, Massachusetts Deadline: 15 December
Acceptance Rate: 23.8 % Tuition Fee: $ 49,580
Ranked 1 in the List of Best Engineering Colleges, this private university is by far the most reputed university apart from the Ivy League. MIT alumni founded or co-founded many notable companies, such as Intel, McDonnell Douglas, Texas Instruments, 3Com, Qualcomm, Bose, Raytheon, Apotex, Koch Industries, Rockwell International, Genentech, Dropbox, and Campbell Soup.
University of California, Berkeley
Location: Berkeley, California Deadline: 2 – 17 December
Acceptance Rate: 26.3% Tuition Fee: $ 13,510
With an invigorating campus and a research funding of 4.3 billion USD, UCB cliches the 3rd spot in the Top 3 Best Engineering Schools. (Source: US News). UCB also has a reputation in various sports and athletics.
University of Illinois, Urbana Champaign
Location: Illinois Deadline: 15 December
Acceptance Rate: 28.2 % Tuition Fee: $32,628
The University of Illinois Urbana–Champaign is classified as an R1 Doctoral Research University under the Carnegie Classification of Institutions of Higher Education, which denotes the highest research activity. The research funding of UIUC is 3.4 Billion USD.
As of 2017, 30 Nobel laureates have been affiliated with the University as alumni, faculty members, or researchers.
Carnegie Mellon University
Location: Pittsburgh, Pennsylvania Deadline: 14 December
Acceptance Rate: 22.1 % Tuition Fee: $42,000
Located in the city of three rivers, the Research funding of CMU 1.73 billion USD, which is the third highest research funding from Dept. of Defense in the country after MIT & Stanford. Along with its US location in Pittsburgh, CMU also has campuses in Qatar, Australia & Rwanda. It is very popular for Human-Computer Interaction & Decision Sciences.
Georgia Institute of Technology
Location: Atlanta, Georgia Deadline: 1st February
Acceptance Rate: 35.2% Tuition Fee: $15,289
The Research funding of GaTech is a hefty 1.84 billion USD. GaTech also has the 4 largest Co-Op Education Program in the US and is also very popular for interdisciplinary research in the fields of:
Location: Ann Arbor, Michigan Deadline: 15 January
Acceptance Rate: 31% Tuition Fee: $45,097
The University of Michigan is the state’s oldest university, founded in 1817 in Detroit, Michigan. With a Research Funding of over 10.9 Billion USD, it is considered one of the foremost research universities in the United States.
As of 2017, around 24 Nobel Prize winners, 6 Turing Award winners and 1 Fields Medalist have been affiliated with University of Michigan. (Source: Wikipedia)
Location: Pasadena, California Deadline: 15 December
Acceptance Rate: NA Tuition Fee: $43,710
CalTech is a Private University in California with a Research funding: 2.7 Billion USD. It holds a stellar list of past & present faculty and alumni with 37 Nobel Laureates, Mathematicians, Astronauts and other Successful Scientists & Engineers. Caltech is one the most prestigious grad schools for aspiring Astrophysicists and Aeronautical Engineers.
Location: Austin, Texas Deadline: 15 December
Acceptance Rate: 18.4 % Tuition Fee: $ 18,570
The University of Texas is a public research which also has the nation’s eighth-largest single-campus enrollment, with over 50,000 undergraduate and graduate students and over 24,000 faculties and staff. The research funding of UT, Austin is 3.4 Billion USD.
Among university faculty are recipients of the Nobel Prize, the Pulitzer Prize, the Wolf Prize, the Primetime Emmy Award, the Turing Award, and the National Medal of Science, as well as many other awards.
Location: West Lafayette, Indiana Deadline: 20 December
Acceptance Rate: 29.3% Tuition Fee: $31,536
Purdue University is the home to aeronautical icons, Neil Armstrong and Eugene Cernan. The Research funding of Purdue is 2.4 billion USD and is also Ranked 7 in the list of Best Engineering Schools. (Source: US News). The University’s alumni pool collectively holds over 15,000 United States Patents. (Source: Wikipedia)
Location: Los Angeles, California Deadline: 15 January
Acceptance Rate: 23.6% Tuition Fee: $ 38,513
USC is a reputed Private University in the heart of LA, California with a research funding of USC is 4.9 billion USD. Past & present faculty include Prominent Personalities from Actors to Presidents. Apart from CS, USC is also Ranked 10 in the list of Best Engineering Schools. (Source: US News)
So right now you know what Universities you should be targeting.
But do you know how get there?
There is a little something called the Application Process.
It is basically a bunch of Admission Prerequisites you need to follow to bag a top admit.
After taking the GRE exam, the application process takes priority. Different universities start putting out their application forms, each having their own set of unique requirements, deadlines and price.
Collect the application forms for the universities that are the most suitable for you and start arranging for the specific requirements. Find out if the university requires just a single LOR or does it require more? If they need additional essays and documents? Once you have all the requirements ready try to submit the application form well before the deadline.
Want to know how you can build your Profile from scratch? Click here.
Your GRE score is the holy grail of your whole application process.
For the few of you who are not sure about what it is, GRE is a competitive exam which is a mandatory requirement to get into top universities in the US.
If you are targeting the Top 20 Universities for Masters in CS, it is advisable to have a GRE score of 320+.
Download the FREE eBOOK on 10 common mistakes to avoid for 320+ Score.
SOP is a well written description of who you are as a person and sheds clarity on your academic and extra-curricular profile. It must comprehensively speak about your skills, achievements, aspirations and goals for the future. A good SOP must leave a mark on the admission committee and stand out against the essays of every other applicant.
Most of the universities put a very high priority on the SOP quality of the applicant. If they don’t find enough reasons to accept your application from your SOP then good GRE scores and flawless profiles can do very less.
Get your free eBook on “How to craft a great SOP?” written by our admission experts. Download Now!
A LOR is basically a Recommendation Letter for your higher education.
The only purpose of a LOR is to convince the University of your candidature.
LOR’s have three rules for them.
Who should you approach?
Understand the significance of a LOR and the credibility it can provide to your application process. Shortlist people who can provide you with a precise LOR.
And what should the LOR be like?
Have a rough flow ready that can portray your profile in the best possible light. Also, make sure you discuss the same with the writer of your LOR.
Another major factor here is the clock
Make sure you follow up on your LOR’s and get them on time so that you can review and ask for the necessary changes from the respective person.
Well that is pretty much it!
You know
{
What is out there,
What competition you are up against,
Targeting the best Universities for masters in CS and
How you should go about it
}
So what are you waiting for?
Debug your troubles and take the first step to a Top Admit Today!
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