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MSc Computer Science is a two-year postgraduate programme that aims to develop advanced programming skills and strategies for solving various logical challenges using various programming languages.
MSc Computer Science, also known as MSc CS, focuses on developing software and networking skills. After obtaining an M.Sc. in Computer Science, you can work as a Networking Master, Software Developer and Tester, Web Developer, Cryptography, etc.
MSc in Computer Science is one of India's most sought-after computer courses. According to a census, 81.3 thousand male and 79.2 thousand female candidates graduated with degrees in computer science in 2016.
The scope of computer science cannot be measured because everyone uses it. While Btech and BE Computer Science are the most popular courses, some students choose BSc Computer Science to gain more theoretical knowledge on the subject. However, what do these students do after they finish their bachelor's degrees? Many people get jobs, while others pursue higher education. The MSc Computer Science programme is ideal for such students. Before enrolling in a degree programme, it is critical to understand the course content. As a result, we have created this blog on the MSc Computer Science syllabus to assist students!
Level of Programme |
Postgraduate |
Duration of Programme |
02 Years full time |
Eligibility Criteria |
A Bachelor's degree in relevant subjects from a recognised university is required. |
Admission Process |
Both entrance based and merit-based |
Course Fee |
Between Rs 30,000 to Rs 3,50,000 |
Minimum Percentage |
50% |
Subjects Required |
Physics, Mathematics, Computer Science |
Examination Type |
Semester or Yearly wise |
Top Entrance Exams |
|
Average Salary |
Between Rs 15,000 to Rs 2,00,000 |
Recruiting Sector |
Data Science companies, IT companies, Banks, etc |
Job Profile |
Software Engineer,Technical Architect, Principal Software Engineer, Data Scientist, Lead Software Engineer , Project Manager - Information Technology (IT), etc. |
The MSc Computer Science Syllabus includes a variety of core and elective subjects that cover all of the major topics. Because the actual course curriculum may differ depending on the university, we have listed all of the major subjects covered by the MSc computer science syllabus:
The course syllabus will differ depending on the specialisation chosen by the student and the university. Certain topics are covered in almost all courses.
Aside from final year projects and internships, the following are the common subjects:
Quick Read: Computer Science Engineering Subjects
The goal of the Basic Programming Laboratory is to provide a learning environment and a better understanding of the fundamental concepts and methods of computer programming. Instead of focusing on programming languages, this lab encourages students to focus on developing programming skills. Students investigate object-oriented programming features in C++/JAVA/Python.
A programming language is a computer language used to interact with computers by programmers (developers). It is a set of instructions written in any language (C, C++, Java, Python) to accomplish a specific task.A programming language is primarily used to create desktop applications, websites, and mobile apps.
Regular and context-free languages, decidable and undecidable problems, reducibility, recursive function theory, time and space computation measures, completeness, hierarchy theorems, inherently complex problems, oracles, probabilistic computation, and interactive proof systems are some of the topics covered.
Algorithm design fundamentals include top-down design, divide and conquer, average and worst-case criteria, and asymptotic costs. Asymptotic cost recurrence relations with simple recurrence relations. Arrays, lists, stacks, queues, trees, heaps, priority queues, and graphs are examples of appropriate data structures.
This course will provide a graduate-level introduction to mathematical logic with a strong emphasis on various mathematical applications. There is no presumption of prior knowledge of mathematical logic. However, some mathematical sophistication and knowledge of abstract algebra will be beneficial.
Computer algorithms and systems have been using logical notation to define and reason mathematically about the fundamental data types and structures (such as numbers and sets) being used.
In its most basic form, a distributed system is a group of computers that work together to appear to the end-user as a single computer. These machines share a state, run concurrently, and can fail independently without affecting the overall system's uptime.
To evaluate process types, designs, layouts, analysis, product forecasting, capacity planning, and knowledge of current manufacturing technologies and automation.
Complexity strategy, also known as complex adaptive organisations, applies complex system research to strategic management and organisational studies. It is based on natural science research into uncertainty and non-linearity.
Operations Research, also known as Decision Science or Operations Analysis, is the study of how to apply mathematics to business problems. As a subfield of Applied Mathematics, it occupies an intriguing position alongside fields such as Data Science and Machine Learning.
It is related to artificial intelligence (AI), which provides frameworks with the ability to learn and improve machine systems by explicitly customising them. The iterative aspect of AI is important because models can freely adjust as new information is presented to them. They learn from previous calculations to produce repeatable choices and outcomes. It is not a new science but rather one that has gained new traction.
Cryptography is a method of securing information and communications by using codes that only the people who are supposed to understand and process the information can understand and process. As a result, unauthorised access to information is prevented. The topic is about the security of data and interpretations. There is a role for mathematical operations and data analysis in cryptography.
Probability and statistics are branches of mathematics concerned with the laws governing random events and the collection, analysis, interpretation, and presentation of numerical data.
Also Read: MSc in Geology
Every university has different criteria while selecting their elective subject that depends on students and faculty.
Data Structures |
Operating Systems Laboratory – Unix and Shell Programming |
Operating Systems |
Computer Graphics |
Structured and Object-Oriented Programming |
Design and Analysis of Algorithms |
Mathematical Foundations of Computer Science |
Database Management System |
Computer Networks |
Visual and Dot Net (.NET) Programming |
Database Management and Case Tools Laboratory |
Dot Net (.NET) Laboratory |
Java Programming |
Web Tech/ Java Laboratory |
Web Technology |
Software Engineering |
Project Work |
Elective 1 |
Elective 2 |
Mini Project |
Ms in computer science has become the most popular programme among students worldwide. The reason for this is obvious. Technology pervades every aspect of life, and it is only getting better in the coming years. As a result, obtaining an MS in computer science will provide you with the skills needed for a lucrative career in a field that shows no signs of slowing down. The course introduces students to software development and computer science disciplines such as networking, systems, programming, algorithms, and theory. By the end of the course, the student has acquired the necessary skills and knowledge to work with computer technologies and is qualified for well-paying positions such as software engineer, software developer, programme analyst, and many other job profiles.
When you study computer science abroad, you will have the opportunity to select from a wide range of programmes offered by some of the world's most prestigious universities and colleges. It will also expose you to a new culture and approach to the subject, which may broaden your understanding of it.
Every subject has assigned reading, and Computer Science is no exception. Like any other field of study, computer science has a history, various processes, and enough opposing viewpoints to fill a library.
MSc Computer Science Reference Books: Reference books are useful for quickly searching topics. Candidates taking the exam will need reference books in order to study properly. The competition in the Entrance exam is so fierce that the candidate must put in a lot of effort, planning, and concentration for the exam.
Reference books can help you improve your problem-solving skills and practice thoroughly.
The average salary after MSc Computer Science is over INR 7.17 per year.
Yes, doing your MSc in Computer Science is worth it, especially because the course has a great demand in the job market both in India and abroad.
MS in Computer Science is not a difficult course, but you must study and prepare well to get a good score.
Still unclear about anything? Well, not to worry. Contact AECC and get your queries answered today!
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