The expected admission process at IGNOU (Indira Gandhi National Open University) for July session will start from 15th May 2025* to 15th June 2025*. To continue a MCA Online program from IGNOU students need to complete a bachelor degree like BCA, BSc in Computer Science, or related programs with a minimum of 45-50% score. The total or entire fee of this online MCA program IGNOU charges INR 50,800.
IGNOU Online MCA course
IGNOU offers this online MCA (Master of Computer Applications) program with many specializations like software engineering, artificial intelligence and machine learning and data analytics. The MCA program is also available in the Open Distance Learning (ODL) mode. This course takes 2 years to complete which IGNOU parted in 4 semesters. Online MCA program focuses on practical and theoretical concepts of computer science and its applications. A wide range of subjects are available for Online MCA program like software development, database management, data analysis & data science, web technologies and networking and cyber security.
Admission Highlights IGNOU Online MCA Program
| Particulars | Details of the course |
| Course Name | MCA (Online) |
| Full name of course | Master of Computer Science |
| Type of course | Postgraduate course |
| University | IGNOU (Indira Gandhi National Open University) |
| Application Process | Students can apply for admission by online mode |
| Eligibility Criteria | Having a Bachelor degree |
| Minimum Aggregate | 45-50% is compulsory aggregate marks for admission |
| Duration of course | 2 years (4 semesters) |
| Medium of program | English & Hindi |
| Age restrictions | No specific age criteria required for online MCA course |
| Entrance Exams | Merit-based admissions available there |
| Total course fee | INR 50,800 |
| Career job profiles | Software Developer, System Analyst, Network Administrator, IT Project Manager, Cybersecurity Analyst and Web Designer |
| Official Portal | ignou.ac.in |
| Fee of Application | INR 300 |
Eligibility Criteria for IGNOU online MCA
To take admission in an online MCA course at IGNOU university, students must complete the required eligibility criteria, including specific academic qualifications:
- Having a bachelor degree preferred in computer science or related fields.
- Need to have marks around 45-50% approx for the course admission.
- There is no entrance exam conducted for pursuing an Online MCA program.
- No age requirement needed for admission.
Application Process IGNOU Online MCA
Step 1: Visit the official portal of IGNOU.
Step 2: Click on the “admission portal” or “apply now”.
Step 3: Create a new student account there for registration.
Step 4: Choose the MCA course with the desired specialization.
Step 5: Fill out the application form by providing all personal details.
Step 6: Upload the required documents.
Step 7: Pay application fee.
Step 8: Submit the form by checking if all details are correct or not.
Step 9: Check the admission status.
Required Documents
- Bachelor Degree Certificate
- Passport size photo
- Signature
- 10th and 12th mark sheets
- Category Certificate (If applicable)
- Work Experience if worked
- Identification Proof like Aadhaar or PAN Card
Fee Structure IGNOU Online MCA
Before getting admitted to the online MCA course from IGNOU, students are advised to check the fee structure of the program:
Total Fee: INR 50,800
Per Semester Fee: INR 12,700
Registration Fee: INR 300
Exams Fee: Included in the total fee of the course.
Syllabus IGNOU Online MCA program
| First Year | |
| Semester I | Semester II |
| Design & Analysis of Algorithms | Data Communication & Computer Networks |
| Discrete Mathematics | Object Oriented Analysis & Design |
| Software Engineering | Web Technologies |
| Professional Skills and Ethics | Data Warehousing and Data Mining |
| Security & Cyber Laws | OOAD & Web Technologies Lab |
| DDA & Web Design Lab | Computer Networks and Data Mining Lab |
| Software Engineering Lab | —- |
| Second Year | |
| Semester III | Semester IV |
| Artificial Intelligence & Machine Learning (AI & ML) | Digital Image Processing & Computer Vision |
| Accountancy and Financial Management | Mobile Computing |
| Data Science & Big Data | Project |
| Cloud Computing & IoT | — |
| AI and ML Lab | — |
| Cloud & Data Science Lab | — |
