1.Scope of Computer Science

MASTER’S DEGREE IN COMPUTER SCIENCE WITHOUT CS BACKGROUND

CAN YOU GET A MASTER’S DEGREE IN COMPUTER SCIENCE WITHOUT CS BACKGROUND?

Index

  1. Scope of Computer Science: Future Perspective
  2. Things to Do for Securing Admission in Computer Science for Non-CS Candidates
    1. Stanford Foundations Courses
    2. CS107 Computer Organization and Systems
    3. CS110: Principles of Computer Systems.
    4. CS103: Mathematical Foundations of Computing.
    5. CS109: Introduction to Probability for Computer Scientists.
    6. CS161: Design and Analysis of Algorithms.
  3. Advantages of Pursuing MS in Computer Science
    1. Computer Science field has excellent job prospects
    2. Ample Scope for Research and Innovation
    3. Diversity and International Opportunities
    4. Computer Science is Required by Most Other Industries
  4. Tips for Non-CS Students for Applying in MS in Computer Science from U.S. and Other Countries
    1. Choosing the Right Program
    2. Admission Requirements: Resume, SOP, Internships, LoR
    3. Letters of recommendation (LoR)
    4. Other common requirements for top Universities

Scope of Computer Science: Future Perspective

Did you know? According to Code.org, there are over 5.5 lakhs computing jobs open for hiring nationwide in the U.S., while at the same time, hardly 50,000 computer science students graduated into the workforce in the previous year. A White House report forecasts the gap to widen in the years to come: i.e. by 2020, 1.4 million computer science related jobs will be scouting out candidates from a pool of only about 400,000 computer science graduates who will possess the required skills necessary to perform those jobs.

While it is not imperative to attain a master’s degree to get a job and work successfully in this field, it is a no-brainer that undertaking post-graduation in the domain from a reputed institute of global repute will not only give you inroads into the field, but also help you rise up the stairs in this career.

This brings us to the question: What if you majored in something other than computer science?

Here’s the good news – computer science is one of the most open domains that values talent from anywhere and everywhere, and non-CS candidates from across the world can pursue a career in CS successfully, provided they prepare in the right manner and fulfil all the necessary criteria. This is where we come in – we are one of the best student visa consultants in Gujarat, assisting candidates from India as well as abroad. We are here to share our experience and expertise with you and to help you understand how you can also pursue your dream career in computer science despite being a non-CS professional.

Things to Do for Securing Admission in Computer Science for Non-CS Candidates

As the leading student visa consultant in Ahmedabad, we have worked closely with hundreds of students. From our rich experience, we can tell you this – don’t let your lack of background in computer science stop you from obtaining a master’s degree. Although some universities mandate a Bachelor’s degree in Computer Science or related fields (such as Information Technology, Knowledge Management and Engineering, Artificial Intelligence and Robotics, etc.) or proven work experience in the respective areas, there are many programs and curriculum which consider applicants who do not possess any formal exposure or experience to Computer Science.

Here is a comprehensive list of all the courses that you can undertake to supplement your lack of knowledge and background in CS:

  1. Stanford Foundations Courses
  2. CS107 Computer Organization and Systems
  3. CS110: Principles of Computer Systems.
  4. CS103: Mathematical Foundations of Computing.
  5. CS109: Introduction to Probability for Computer Scientists.
  6. CS161: Design and Analysis of Algorithms.

Stanford Foundations Courses

In general, these courses are a must-do for all students in the program, but they may be exempted from one or all of these courses if they have taken a similar course earlier. As a rule, all exemptions must be ratified by a student’s advisor.

CS 107 Computer Organization and Systems

CS 107 helps students gain proficient knowledge for programming on UNIX machines. It teaches students a wide range of topics related to computer systems – covering important elements from the hardware to the source code. The topics taught include machine architecture (registers, I/O, basic assembly language), memory models (pointers, memory allocation, data representation), compilation (stack frames, semantic analysis, code generation), and basic concurrency (threading, synchronization). CS 107 Programming Paradigms is the previous version of the course that is available for free of cost.

Related Courses: CS106A – Programming Methodology, CS106B – Programming Abstractions, MIT 6.00SC Introduction to Computer Science and Programming (Spring 2011), MIT 6.01SC Introduction to Electrical Engineering and Computer Science I

CS 110: Principles of Computer Systems.

CS 110 covers how to build larger scale systems using operating system and networking abstractions. The various topics taught here are processes (threading, context switching, inter-process communication), storage and file management (file systems, virtual memory), networking (sockets, TCP/IP, routing) and the fundamentals of distributed systems.

Related Courses: MIT 6.033 Computer System Engineering

CS 103: Mathematical Foundations of Computing.

CS 103 and CS 109 are grouped together here because they are sequences.
CS 103 provides students with the mathematical foundations required as the base for computer science. Various topics taught under this course are proof techniques and logic; induction; sets, functions, and relations; an introduction to formal languages; DFA’s, NFA’s, and Regular Expressions; Context-Free Grammars, Turing Machines, and NP-Completeness.

Related Courses: MIT 6.042J Mathematics for Computer Science

CS 109: Introduction to Probability for Computer Scientists.

Probability is a fundamental requirement for Computer Science aspirants. Various topics taught include: counting and combinatorics, random variables, conditional probability, independence, distributions, expectation, point estimation, and limit theorems. Applications of probability in computer science including machine learning and the use of probability in the analysis of algorithms.

Related Courses: MIT 6.041SC Probabilistic Systems Analysis and Applied Probability

CS 161: Design and Analysis of Algorithms.

CS161 is a course that advances the students on the topics taught in CS103, and then introduces fresh topics for discourse. Students get to learn about algorithmic efficiency strategies for more advanced data structures (binary search trees, heaps, hash tables), popular algorithmic design techniques (divide-and-conquer, dynamic programming, greedy algorithms, amortized analysis, randomization) and fundamental graph algorithms (minimum-cost spanning tree, connected components, topological sort, and shortest paths).

Related Courses:Algorithms | Coursera

Advantages of Pursuing MS in Computer Science

In today’s competitive world, there are various advantages of pursuing post-graduation in Computer Science. Especially, MS in Computer Science from the US is a much coveted and sought-after qualification by serious students and professionals across the world. As one of the best student visa consultants in Gujarat, we can recommend a career in Computer Science to most professionals with keen eye for logic and a passion for technology.

Here are the top advantages of pursuing a career in Computer Science

  1. Computer Science field has excellent job prospects
  2. Ample Scope for Research and Innovation
  3. Diversity and International Opportunities
  4. Computer Science is Required by Most Other Industries

1. Computer Science field has excellent job prospects

both in terms of the number of jobs available and the salaries being offered to graduates and professionals.

2. Ample Scope for Research and Innovation

This domain is expanding with cutting edge research and innovation extremely quickly. As a professional in this sector, you can be a part of this exciting progress and contribute to the fullest of your potential.

3. Diversity and International Opportunities

Computer Science happens to be one of the most diverse programs in the world offering intrinsically wider international market opportunities. Get the opportunity to study and work abroad and learn from the best with a career in Computer Science.

4. Computer Science is Required by Most Other Industries

One of the biggest advantages of this field is that it is required by most other industries – be it services, manufacturing, retail, power, agriculture, or energy.

Tips for Non-CS Students for Applying in MS in Computer Science from U.S. and Other Countries

Did you know? As the best student visa consultant in Gujarat, every year we help hundreds of students find their dream career, and Computer Science is inevitably one of the most preferred choices.
Here, we share our experience with you and how we can help you in pursuing your career goals.

  1. Choosing the Right Program
  2. Admission Requirements: Resume, SOP, Internships, LoR
  3. Letters of recommendation (LoR)
  4. Other common requirements for top Universities

Choosing the Right Program

Here’s how you can go about selecting the program that is the best fit for you:

  1. Reason for Pursuing MS Computer Science: Before you do anything, first answer the question: why do you want to purse a career in Computer Science? Some of the top reasons include:
    1. Shifting to a new career
    2. Making yourself more employable in the existing career
    3. Research opportunities

Knowing why you want to do MS in Computer Science will help you choose the right program.

  1. Your Background in the Domain: Are you a complete novice in Computer Science with absolutely no background at all? Or, do you have some foundation of the field? There are courses that cater to both these groups, and you must take your pick accordingly.

Admission Requirements: Resume, SOP, Internships, LoR

While you may be at a slight disadvantage in comparison to candidates with a CS background, but there is no reason to believe that you will not be able to secure admission to the right University because of this. Usually, admissions department of various institutes will want a clear picture of why you are keen tohigher education in computer science despite not possessing a CS background. Remember that such programs are looking for self-driven, go-getter students who have what it takes to make the plunge into a whole new career, and contribute their best to the world

Accordingly, your Statement of Purpose (SOP)or admission essay should focus on your ability to quickly learn new concepts and generate confidence among the Admissions Committee members. We are the best foreign education consultant in Gujarat and have expert writers in the team who can help you create the most apt SOP that communicates your strengths and objectives in the best manner. Your resume should clearly indicate your background and experience in the most succinct manner, and here also we are the leading professional student advisors to help you out.

Letters of recommendation (LoR)

Letters of recommendation (LoR) are also extremely important to help highlight your potential and persuade the admissions committee that you have the capability succeed in the program. While it is important that you furnish at least one letter from a former instructor who can vouch for your dedication and drive in the classroom, it is important that the language of the letter is professional and comprehensive. We can help you edit and polish the language of your instructor so that the best value of your candidature is reflected. If you are also getting letters of recommendation from employers, request them to talk about your ability to overcome challenges and obstacles to indicate your capacity to adjust and excel in a whole new domain.

Your ability to succeed in CS also depends on your current stream or background.For example, students with background in Electronics, Electronics and Communications/Telecommunications, Information Technology etc. find it easier to transition due to several common subjects among the disciplines.

But, irrespective of whether you are from this category or not,you can take the following steps to build your profile in CS:

  1. Carry out a couple of projects related to CS: It will help reflect your acumen, aptitude and passion for CS. For instance, you can take up the role of an assistant or associate to a professor for a CS project. It will also help you get experience as well as a letter of recommendation.
  2. You can also enrol in various certification courses to add value to your profile, examples include: Data Structures, Analysis of Algorithms, JAVA, C/C++ and Database Management Systems, as these make an integral part of CS.
  3. Undertake internships inCS domain, even if it is in a small company or a technology startup. It will give you a real-life experience of the domain and make you more confident and prepared.
  4. Use platforms like hacker rank tohone your coding and problem-solving skills progressively.

Other common requirements for top Universities

  • High GRE scores
  • Experience in Python, JavaScript, and Java
  • Evidence of programs or applications you have developed
  • Proof that you can self-teach yourself the various languages to at least an intermediate level.

If you are looking for expert education and student visa assistance in studying abroad from the best foreign universities, reach out to us at darshan@dvividconsultant.com