80 Days Computer Science Revision Strategy 2026
A structured revision plan beats random studying every single time.
This 80 days strategy is designed for students preparing for Computer Science competitive exams with proper subject priority, revision cycles, PYQ practice, and weekly mock tests.
Daily Time Allocation
| Task |
Time |
| Core Subject Study |
3–4 Hours |
| Secondary Subject (Maths / Reasoning / Pedagogy) |
1.5 Hours |
| MCQs / PYQs / Practice |
1 Hour |
| Quick Revision |
30 Minutes |
Topic Wise Revision Schedule (19 May – 07 Aug 2026)
| Date |
Day |
Subject |
Topic |
Estimated Time |
| 19-05-2026 | Tuesday | FOC | Computer Overview + Components | 2 hrs |
| 20-05-2026 | Wednesday | FOC | Input/Output Devices | 3 hrs |
| 21-05-2026 | Thursday | FOC | Digital vs Analog | 2 hrs |
| 22-05-2026 | Friday | FOC | Decimal/Binary/Hexadecimal | 4 hrs |
| 23-05-2026 | Saturday | FOC | Data Processing + File Types | 2 hrs |
| 24-05-2026 | Sunday | Revision | Mock Test (FOC) + PYQ + Weak Topics | 5 hrs |
| 25-05-2026 | Monday | Programming | Introduction to C and Basics | 3 hrs |
| 26-05-2026 | Tuesday | Programming | Functions, Pointers and Derived Data Types | 5 hrs |
| 27-05-2026 | Wednesday | Programming | C++ Basics | 3 hrs |
| 28-05-2026 | Thursday | Programming | Java Basics | 4 hrs |
| 29-05-2026 | Friday | Programming | OOP Concepts | 4 hrs |
| 30-05-2026 | Saturday | Programming | Advance Java Concepts | 4 hrs |
| 31-05-2026 | Sunday | Revision | Mock Test (Programming) + PYQ + Weak Topics | 3 hrs |
| 01-06-2026 | Monday | Programming | Python Basics | 4 hrs |
| 02-06-2026 | Tuesday | Programming | Dotnet | 4 hrs |
| 03-06-2026 | Wednesday | Programming | Blockchain + Machine Learning | 4 hrs |
| 04-06-2026 | Thursday | Programming | Artificial Intelligence | 3 hrs |
| 05-06-2026 | Friday | Programming | IDE Concepts | 1.5 hrs |
| 06-06-2026 | Saturday | Data Structures | Introduction to Data Structure | 3 hrs |
| 07-06-2026 | Sunday | Revision | Mock Test (Programming 2) + PYQ + Weak Topics | 5 hrs |
| 08-06-2026 | Monday | Data Structures | Arrays | 3 hrs |
| 09-06-2026 | Tuesday | Data Structures | Linked List | 4 hrs |
| 10-06-2026 | Wednesday | Data Structures | Stack + Operations | 1.5 hrs |
| 11-06-2026 | Thursday | Data Structures | Queue | 4 hrs |
| 12-06-2026 | Friday | Data Structures | Binary Trees | 3 hrs |
| 13-06-2026 | Saturday | Data Structures | Binary Search Trees | 4 hrs |
| 14-06-2026 | Sunday | Revision | Mock Test (DS) + PYQ + Weak Topics | 5 hrs |
| 15-06-2026 | Monday | Data Structures | Graphs | 3 hrs |
| 16-06-2026 | Tuesday | Data Structures | Sorting | 4 hrs |
| 17-06-2026 | Wednesday | Data Structures | Searching | 3 hrs |
| 18-06-2026 | Thursday | Operating System | Basic Structure of Computers | 3 hrs |
| 19-06-2026 | Friday | Operating System | Arithmetic Operations | 2 hrs |
| 20-06-2026 | Saturday | Operating System | CPU + Instructions | 2 hrs |
| 21-06-2026 | Sunday | Revision | Mock Test (DS) + PYQ + Weak Topics | 5 hrs |
Subject Priority Analysis
| Subject |
Approx Questions in Exam |
Preparation Priority |
| DBMS + SQL |
16–18 |
Very High |
| Networking + Security |
14–16 |
Very High |
| Operating System |
12–14 |
High |
| Data Structures |
12–14 |
High |
| Programming Concepts |
10–12 |
High |
| MS Office |
8–10 |
Medium High |
| Internet + HTML/XML |
7–8 |
Medium |
| Computer Fundamentals |
6–8 |
Medium |
| System Analysis & Design |
4–6 |
Medium |
| AI/ML/Blockchain/IoT |
2–4 |
Low |
Final Revision Strategy
- Do not study randomly. Follow the sequence strictly.
- Focus maximum effort on DBMS, Networking, Security and Operating Systems.
- Solve MCQs daily after topic completion.
- Keep Sundays reserved for full revision and mock tests.
- Maintain short handwritten notes for quick revision.
- Revise weak topics every week.
- Practice previous year questions regularly.
- Avoid collecting too many resources. One good source is enough.
- Last 10 days should be only for mock tests and revision.
Consistency matters more than motivation.
Even an average student can outperform others with disciplined revision and repeated practice.