Computer Science and Engineering roadmap
From first program to a job-ready portfolio: what to learn, build and prove in each year.
Learn to think in code
Skills to learn
- C or Python fundamentals
- Problem solving and logic
- Discrete mathematics
- Linux command line
- Git and version control
Tools to use
- VS Code
- Git and GitHub
- Ubuntu or WSL
Certifications and courses
- CS50x (Harvard, free online)
- NPTEL: Programming in Python or Java
Projects to build
- Command-line to-do or calculator app
- Personal page on GitHub Pages
- Solve 50 beginner coding problems
Build the core
Skills to learn
- Data structures and algorithms
- Object-oriented programming
- DBMS and SQL
- Operating systems
- Computer network basics
Tools to use
- IntelliJ or PyCharm
- MySQL or PostgreSQL
- LeetCode or CodeChef
- Wireshark
Certifications and courses
- NPTEL: Data Structures and Algorithms
- HackerRank SQL and Problem Solving certificates
Projects to build
- Library or inventory system with a database
- A REST API with create, read, update, delete
- 150 solved coding problems across topics
Pick a direction and go deep
Skills to learn
- Web development (React and Node) or Android
- Cloud fundamentals
- Machine learning basics
- System design basics
- Testing and debugging
Tools to use
- Docker
- Postman
- AWS or Azure free tier
- scikit-learn
- GitHub Actions
Certifications and courses
- AWS Certified Cloud Practitioner
- Microsoft Azure Fundamentals (AZ-900)
Projects to build
- A full-stack app deployed on the internet
- Two accepted contributions to an open-source project
- An internship project you can explain end to end
Become placement-ready
Skills to learn
- Advanced data structures and algorithms
- System design for interviews
- Clear technical communication
- One deep specialisation
Tools to use
- LeetCode
- Kubernetes basics
- CI/CD pipelines
Certifications and courses
- AWS Solutions Architect Associate or Azure Administrator (optional)
- GATE preparation if you plan higher studies
Projects to build
- A capstone with real users or real data
- A one-page portfolio with three strong projects
- At least 10 mock interviews
Where this can lead
Career paths
- Software developerBuild web, mobile or backend systems. The most common first role.
- Data analyst or data scientistTurn data into decisions. Strong SQL, statistics and Python.
- DevOps or cloud engineerAutomate how software is built, shipped and run.
- QA or test automation engineerMake sure software works. Good entry route with strong coding.
- Cybersecurity analystProtect systems and respond to incidents. Networking knowledge helps.
- Machine learning engineerBuild and deploy models. Needs maths, Python and software engineering.
Next steps
- Higher studiesM.Tech through GATE, MS abroad (GRE and TOEFL or IELTS), or MBA (CAT).
- Competitive examsGATE for M.Tech and many public-sector roles; state and central government technical exams.
This roadmap is a starting point. Syllabi, exams and certification rules change, so confirm details with your college and the official certification pages.