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For young aspirants, Computer Engineering has always been one of the most in-demand job options. This is because the subject is divided into several specializations resulting in various job opportunities for Computer Engineers. We have heard about how computer engineering opens fields and gives you numerous opportunities. If you are wondering what to do after engineering in Computer Science, you are not alone. It is true that this is a relatively fast-growing field and an in-demand career option.
Many students get confused about what to do after B. Tech in CSE. It’s natural, but there is no one answer to that question — and that’s the beauty of it. There are multiple career options after the degree and one can choose according to their interests and needs — some might be interested in good pay, while others opt for a field that’s close to their passion or one that lets them explore their potential skills. The choice is yours and only you know what you wish to pursue; but whatever it may be, we assure you that you will find a path that fits you right — whether it’s Data Scientist or Cyber Security Specialist — or something else.
We will soon take you through the career options. But before that, let’s dive into the higher education options for students after completing engineering in computer science.
Higher Education Options for Students after Engineering in Computer Science
Getting qualified in the relative field is the first step toward exploring your passion and skills in Computer Science. There is a huge demand for qualified computer science experts who are talented and can work comprehensively. Whether you choose to do a Cloud Computing course or Python, the potential skills you gain from them will help you bag the right job. Let us now explore the important higher education options for you to land a lucrative job in the booming field of Computer Science.
- M.Tech or MS in Computer Engineering: If you are looking for higher study options in the same field of computer science, this is the best option for you. Higher studies can help you bond with the course better. The M. Tech is a 2-year-long course while the MS in computer is a 3-year-long course. You can start applying after the master's or even opt for Ph.D. in the research field.
- Ph.D.: If you have an instinct or passion for research, opt for the Ph. D program. The program can opt right after the master’s degree. This is important, and many students opt for Ph. D to make a better impact on their profile. And who wants to miss the ‘Dr’! These are 5 years-long integrated courses where you would be asked to research for 3 years before giving your thesis. Some students opt for a master's degree along with a Ph. D. This is also known as the dual- degree or the dual-education.
- Post-graduation in Machine Learning Data Science or Business Analytics: These are the hot sellers or takers in the data scientist field. You can opt for post-graduation programs and get qualified for trending fields like artificial intelligence, machine learning, and deep learning. For all the big data and science data it is one of the most trending fields.
- MBA: you can opt for MBA if you have an interest in management. It can be directly related to computer work and can help you with better planning and go insights into the business world.
After higher studies, it is also important to gain relative experience. Make sure you take up some internships and freelancing work. These not only help you gain experience but also inform you of your potential skills in the relative fields. Now that we have the education in hand let us explore the career options ahead.
Career Options after Completing Engineering in Computer Science
For a long time, Computer Engineering has remained the primary career focus for young, smart, and ambitious — and has been in high demand because of the opportunities it presented for lucrative careers in the booming IT field. Computer Engineers have the option to pick a career path from a wide range of specializations because the field branches into many interesting ones. However, the numerous choices spread out in front of them often make it difficult to find the right path in an ocean full of opportunities. If you feel the same way, read on. We have a list of career paths that you can consider taking after computer engineering.
- Software Developer
The role of a Software Developer is one of the best career options after computer engineering which is best suitable for those who love coding and programming. Software Developers have high demand in the IT sector. They create innovative software programs and applications that cater to specific customer needs.
Skills Required:
- Specialization in programming languages like C, C++, Java, Python, etc.
- Technical creativity and analytical thinking skills to solve software-related issues
- Effective communication and problem-solving skills
Salary
India: For freshers, salary ranges between Rs. 3-7 LPA, and after years of experience, it increases up to 10-15 LPA.
USA: The average salary is $110,638
- Data Analyst
Data Analysts act as a bridge between data science and business. Data Analysts gather relevant data from various sources and must be able to present their findings in a way that all project stakeholders can understand. They perform Data Mining, Analysis, Inspection, Predictive Modelling, and Report Generation to ensure good business and technology decisions for a company.
Skills Required:
- Specialization in Statistical Programming Languages like Python
- Strong Analytical skills, decision-making powers, SQL skills, and Database Knowledge
Salary
India: Income ranges from Rs. 3-10 LPA, but most of the companies offer a bit static salary ranging between Rs. 5 to Rs. 8 LPA.
USA: The average salary is $ 70,684.
- Data Scientist
Data Scientists are primarily focused on creating and deriving values from Data Analysts' findings. They revolve around the ideologies of a company utilizing a variety of resources to generate a valuable idea that will make the organization more profitable and commendable in terms of its position and competition.
Skills Required:
- Analytical and Statistical Skills
- Strong knowledge of Mathematics
- Development and Programming skills
Salary
India: Average salary ranges from Rs. 4-20 LPA with years of experience
USA: The average salary is $ 81,361 (1-3 years of experience) and; 143,648 (8+ years of experience)
- Database Administrator
Databases are a valuable asset to any business, and it's crucial to ensure strong security and administration to manage them effectively. Database Administrators are responsible for managing and ensuring the proper functioning and access to databases. They are responsible for quality control and reporting on various components of software design.
Skills Required:
- Ability to use database design techniques
- Ensuring a secure DB infrastructure and proper data integrity
- Knowledge of ERP and business-oriented reporting and writing efficient SQL code
Salary
India: The average salary ranges between Rs. 3-10 LPA
USA: The average salary is $ 85,533.
- Data Engineer
With efficiency and scalability, infrastructure and management systems are maintained to ensure data storage. A Data Engineer’s job is to create software components and tools that will be useful for the infrastructure.
Skills Required:
- DBMS Knowledge
- Known to Big Data frameworks
- Knowledge of Scripting languages
Salary
India: The average salary Income ranges between Rs. 3-20 LPA
USA: The average salary is $ 115,737
- Cyber Security Specialist
Cyber security entails a wide range of technical and logical skills. A Cyber Security Specialist examines the security of various networks and the apps that are connected to them.
Skills Required:
- Strong knowledge of Security and Network
- Strong IT skills
- Strong Problem-Solving and Analytical skills
Salary
India: The average salary ranges between Rs. 7-15 LPA
USA: The average salary is $ 100,000
- Machine Learning Engineer
The ML Engineers specialize in designing and developing intelligent systems for usage in a variety of software systems and by businesses for various objectives. They create AI-powered systems based on machine learning and deep learning that are highly advanced.
Skills Required:
- Strong Mathematics
- State-of-the-art ML Algorithms and NN based Algorithms
- Capacity to develop ML and DL Systems