Is Computer Science just limited to Software Engineering? Obviously no!! In the present time, everyone is running after SWE and SDE Job Roles and there is nothing wrong with it. The aim of this blog is to enlighten people about various paths they can explore and what all they can do with a Computer Science Degree. Here, I have included 8 possible paths along with some resources. It is to be noted that careers in CS are not just limited to these 8 paths, there are many other possible paths as well.
1. Full-Stack Developer
Full Stack Development is one of the most blooming paths which is chosen by people with CS Degree. A Full-Stack Developer is someone who manages both Front-end and Back-end of an application. The Front end is basically the client-side and the Back end is the server-side of the application.
Skills Required: HTML/CSS, JavaScript, Git and GitHub, Backend languages, Web architecture, HTTP and REST, Database storage, Basic design skills, NPM, Soft Skills
2. Data Scientist
Data scientists are analytical experts who utilize their skills in both technology and social science to find trends and manage data. They use industry knowledge, contextual understanding, skepticism of existing assumptions – to uncover solutions to business challenges.
Skills Required: Python and R programming, Hadoop platform, Good grip on SQL databases, ML and AI, Data visualization, Business strategy.
3. Product Manager
A product manager is a person who identifies the customer need and the larger business objectives that a product or feature will fulfill, articulates what success looks like for a product, and rallies a team to turn that vision into a reality.
Skills Required: Communication skills, Technical expertise, Business Intelligence, Research skills, Analytical skills, Interpersonal, marketing, delegation, and management skills
4. Business Analyst
Business analysts help guide businesses in improving processes, products, services, and software through data analysis. These agile workers straddle the line between IT and the business to help bridge the gap and improve efficiency.
Skills Required:Business management skills, Analytical thinking skills, To be flexible and open to change, The ability to use your initiative, Customer service skills, The ability to work well with others, Excellent verbal communication skills, A thorough understanding of computer systems and applications.
5. AI ML Engineer
A machine learning engineer (ML engineer) is a person in IT who focuses on researching, building, and designing self-running artificial intelligence (AI) systems to automate predictive models.As a machine learning engineer, working in this branch of artificial intelligence, you'll be responsible for creating programs and algorithms that enable machines to take actions without being directed.
Skills Required:Knowledge of programming languages like python, R, scala etc..., creativity, problem-solving ability, data manipulation and exploration skills, strong grip on mathematics and statistics, SQL
6. R & D Scientist
After a CS degree, one can explore the field more by pursuing research. A research and development scientist specializes in conducting scientific studies and experiments to develop new products and technologies. ... Additionally, as a research and development scientist, it is essential to conduct reviews and assessments to ensure products adhere to safety standards and regulations.
Skills Required:Critical and analytical thinking, Teamwork and collaboration, Attention to detail, Problem-solving, Leadership, Respect for procedures and standards, Time management, Organization.
7. DevOps Engineer
A DevOps engineer is an IT generalist who should have wide-ranging knowledge of both development and operations, including coding, infrastructure management, system administration, and DevOps toolchains.A DevOps engineer introduces processes, tools, and methodologies to balance needs throughout the software development life cycle, from coding and deployment to maintenance and updates.
Skills Required:Interpersonal skills, Strong understanding of common system architecture, provisioning, and administration, Knowledge of how to use and understand the role of Version control, Continuous Integration servers, Configuration management, Deployment automation, Containers, Infrastructure Orchestration, Monitoring and analytics, Testing and Cloud Quality tools, Network protocols
8. CS Professor
A computer science professor teaches computer science (CS) classes at a college or university. As a CS professor, your job duties involve teaching students about computers, software, and related technology. Your lessons may also go into the information technology (IT) and programming fields. Generally, a masters degree is required in India to become a professor.
Skills Required:Thorough subject knowledge, Expertise in programming, Excellent communication skills, Public speaking technique, ability to plan the coursework, management skills, Critical thinking