Best Career Options to Consider after Graduating in Computer Science in 2023
Tags: beginners, career, softwareengineering, datascience
Published: 2023-05-25 07:43:26

## Overview
A popular career choice for young hopefuls has always been computer engineering. This is primarily due to the field's wide range of specializations, which gives computer engineers many employment options. However, for many, the sheer amount of employment options in computer engineering might be intimidating. after completing their education, many people become confused while looking for work as computer engineers.

In reality, there is just one difficult issue that students who are still deciding what they want in their professional lives must constantly answer:

## The question "What to do after computer engineering?"

There is no single response to this question, is our response. And that's what makes computer engineering so beautiful. After computer engineering, there are numerous employment opportunities rather than just one. Choose from a variety of computer engineering careers. After receiving your Bachelor's degree in computer engineering, many alternatives will be available.
You can select the job you want to do based on the various computer engineering fields offered. The jobs connected to some of the main categories of computer engineering are listed below.

## 1. MS in CS
The greatest option for those seeking to further their education is the M.Tech/M.S. in Computer Engineering. Typically, M.Tech programs last two years, while M.S. courses last three years. You have two options after earning your M.Tech./M.Sc. in computer engineering: you can either apply for jobs or pursue a Ph.D. in research.

Ph.D. - You can immediately enroll in a Ph.D. program after earning your M.Tech. This is a great option for students interested in researching the area. Doctoral programs typically last five years, including two years of coursework and at least three years of research. 

Dual degree (Ph.D. and M.Tech.) - This is close to the Ph.D. The sole distinction is that a dual degree requires an M.Tech. and a Ph.D.

Graduate-level course in business analytics, data science, and machine learning. Current hot trends in the industry include data science and its related technologies, including artificial intelligence, machine learning, and deep learning. Additionally, business analytics is a new field developing concurrently with big data and data science. A postgraduate degree in data science or business analytics is recommended for those who want to work in the data science and big data fields. Here is recommended course for the same - [Computer Science MS Degree](https://online.stanford.edu/programs/computer-science-ms-degree).

## 2. Data Scientist
Data Scientists are the experts in the field of data science. Their main focus is on extracting useful information from complicated data. Data scientists collect information from various external sources, including social media, websites, blogs, and other online content. They tidy up, arrange, and process this data so that they can further analyze it and find any underlying patterns. This enables them to comprehend how the data at their disposal can address the organization's current business difficulties.

Together, data scientists and analysts delve deeply into the data to glean useful insights that may be applied to solve problems with real-world commercial applications. Data scientists frequently lead when working on initiatives involving significant amounts of complicated business data (much like a project manager). Data scientists typically have in-depth knowledge of mathematics, statistics, engineering, computer science, and engineering. Here is recommended course for the same - [Scaler Data Science and Machine learning](https://www.scaler.com/data-science-course/).

## 3. Computer Network Architect
Professionals who design, develop, implement, and maintain networking and data transmission systems are known as computer network architects. This covers intranets, extranets, and local and wide area networks. Additionally, they are in charge of updating hardware (such as adapters and routers) and software (such as network drivers). Computer network architects typically collaborate with the company's chief technology officer to foresee the areas of the organization where new networks will be most useful. 

Computer network architects need a firm grasp of a company's business strategy to build and deploy the network in the proper locations. To safeguard the systems from flaws, they must also schedule the application of security updates and other remedies. Furthermore, computer network architects must also investigate new networking technologies to properly analyze present data traffic and predict how traffic growth can influence the network. Here is recommended course for the same - [Computer Networks Foundations](https://www.udemy.com/course/computer-network-system-foundations/).

## 4. Big Data Engineer
Building, testing, and maintaining scalable Big Data ecosystems for enterprises is the responsibility of big data engineers so that data scientists may run their algorithms on reliable and effective data platforms. Big Data Engineers typically collaborate closely with Data Architects, Data Analysts, and Data Scientists to assist organizations in deriving valuable insights from sizable and complicated datasets that can then be utilized to inform decision-making at the business level. After computer engineering, one of the best career paths is in big data.

As the name implies, Big Data Engineers focus largely on Big Data ecosystems, tools, and technologies. To increase the effectiveness of the databases, they must upgrade, debug, and optimize Big Data systems and software. Big Data engineers often need a few years of work experience in the business to work with Hadoop and other Big Data frameworks, SQL-based databases, as well as well-known data APIs and ETL tools. Here is recommended course for the same - [Big Data Specialization](https://www.coursera.org/specializations/big-data).

## 5. Machine Learning Engineer
Machine learning engineers are highly skilled ML professionals who specialize in creating intelligent machines and systems that can learn from experience and carry out activities that humans perform with little to no human intervention. They develop cutting-edge ML algorithms that can instruct computers on how to carry out particular jobs without having to program them to do so explicitly. Additionally, machine learning engineers are employed to create cutting-edge ML and Deep Learning systems and conduct numerous ML tests and experiments. 

Engineers in machine learning are among the most in-demand occupations today. However, the job description calls for high proficiency in computer science, statistics, and mathematics. By examining the kind of pay machine learning engineers receive, you may determine the level of demand for their services. The foundational concepts of computer science, such as data structures, algorithms, and computer architecture, must be thoroughly understood by machine learning engineers. It goes without saying that they must be highly skilled programmers fluent in various languages, including Python, R, Java, C, Ruby, Perl, Scala, etc. Here is recommended course for the same - [Machine Learning Specialization](https://www.coursera.org/specializations/machine-learning-introduction).

## 6. Blockchain Developer/Engineer
Blockchain developers/Engineers are software professionals focusing on blockchain technology, as the name suggests. The entire life cycle of a blockchain application, from research and analysis to design and implementation, is handled and supervised by blockchain developers and engineers.

They combine several Blockchain programming languages to develop sophisticated user interfaces, functionality, and architecture for Blockchain systems (Simplicity, Solidity, Rholang, JavaScript, C++, etc.). Blockchain Developers and Engineers set up the necessary infrastructure for Blockchain applications and solutions and crucial security measures to safeguard the systems from cyberattacks and create best practices.

Blockchain developers and engineers must thoroughly understand web development, smart contract creation, cryptography, data structures, and blockchain architecture. Here is recommended course for the same - [Blockchain: Foundations and Use Cases](https://www.coursera.org/learn/blockchain-foundations-and-use-cases).

## 7. Database Administrator
Database administrators play a crucial part in the industry because their main responsibility is ensuring the corporate database runs well daily. They oversee the adjustments made to existing software items, the database's upkeep, management of database access, and monitoring and tracking of database software purchases.

To safeguard and uphold the integrity and privacy of confidential data, database administrators are also accountable for the quality control and functionality of business databases.

Database administrators need to be extremely well-organized and analytical. They must be willing to keep up with the newest technological advancements and have a solid understanding of the business requirements of IT. IT companies, management consulting firms, financial institutions, academic institutions, and even government agencies that deal with massive amounts of data hire database administrators. Here is recommended course for the same - [Database Administrator (DBA) | Developer- MS SQL Server,TSQL](https://www.udemy.com/course/database-administrator-dba-developer-ms-sql-servertsql/).

## 8. Full Stack Developer
The main tasks of full-stack developers include coding and programming. They adhere to accepted HTML/CSS best practices and design and develop websites following client requests and requirements. They must also keep up with the necessary software documentation. Full Stack Developers need to be skilled in graphic design and computer programming because this position emphasizes user experience and functionality.

They continue to be in great demand because of the fierce competition between businesses in the digital and e-commerce areas. The technical knowledge of client-side elements, server-side languages, web application frameworks, and database management systems is required by full-stack engineers. Here is recommended course for the same - [Harvard Web Developer Professional Certificate](https://pll.harvard.edu/subject/web-development).

## 9. Information Systems Manager
Business executives who manage and deploy an organization's computer and information technology (IT) systems are known as information systems managers. They serve as a point of contact between an organization's top management and IT professionals. They ensure that all computer systems, software events, and other hardware/software elements an organization uses run safely and efficiently.


Other IT specialists, such as computer engineers, systems analysts, data security specialists, tech support specialists, and others, are supervised and managed by information systems managers.

Information systems managers have excellent job prospects because most employers recruit them to increase employee productivity and corporate operations. Information systems managers must have soft skills, including leadership, communication, project management, time management, customer service, and strong organizational and managerial skills. Here is recommended course for the same - [Certificate Program In Management Information Systems](https://www.udemy.com/course/certificate-program-in-management-information-systems/).

## 10. Computer Systems Analyst
Following computer engineering, computer systems analysis is a prominent professional path focusing on analyzing an organization's current computer systems, designing information systems, and business operations to develop more creative, effective, and productive solutions. Computer systems analysts contribute to bridging the information technology (IT) and business worlds since they have an in-depth understanding of both. 

To boost the effectiveness and performance of computer systems, they use a variety of strategies while designing them and intensive testing to identify any hidden patterns in the data.

Companies may hire specialized analysts, such as Systems Architects and Software Quality Assurance (Q.A.) Analysts, and Programmer Analysts, in addition to hiring computer systems analysts as general-purpose analysts who design new systems or improve current ones. Here is recommended course for the same - [Systems Analysis Certificate Program](https://www.uclaextension.edu/digital-technology/network-infrastructure/certificate/systems-analysis).

## Conclusion
These are the top 12 careers you can choose from following computer engineering. Due to the tremendous demand for various professional choices within the sector, they all offer moderate to very high yearly salaries. 

If you want to learn more about the career path after computer engineering, depending on your interests, speak with one of our career counselors. They can provide information on current market trends, the potential growth of various professions, and more.