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Why Online MCA
at DSU
The online MCA course is designed keeping in mind the flexible and self-paced requirements of the learners. Its holistic features make way for every learner’s all-round development.
Online MCA Program Electives
Cloud Computing Technologies
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Data Science
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Blockchain Technologies
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Quantum Computing
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Artificial Intelligence
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Deep Learning
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Big Data Analytics
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Internet of Things (IoT)
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Natural Language Processing
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Mobile Application Development
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Data Analytics & Visualization
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Industrial IoT & Automation
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Business Intelligence Technology
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Business Data Analytics
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Quantum Machine Learning
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What Our Students Say
Real experiences from learners across our online programs
“The flexibility of this online program helped me balance work and studies effortlessly.”
“A smooth enrollment process and a program that truly supports working professionals.”
“Well-structured learning with excellent support throughout the journey.”
“Flexible schedule and strong academic support made learning comfortable.”
“Supportive faculty and recorded sessions helped me learn at my own pace.”
“A supportive learning environment that boosted my skills, confidence, and overall understanding.”
“Supportive faculty, flexible learning, and interactive sessions helped me build strong IT skills.”
“Well-structured study materials and flexible classes made learning convenient and effective.”
“DSU Online helped me balance sports, recovery, and studies through flexible recorded classes.”
“Engaging lectures, strong faculty support, and flexible learning exceeded my expectations.”
“Industry-focused curriculum and hands-on learning made me confident and career-ready.”
“Clear explanations, patient faculty, and recorded sessions made learning smooth and easy.”
“Affordable fees, flexible weekend classes, and excellent support for working professionals.”
“Live sessions and practical assignments strengthened my skills and shaped my career path.”
Online MCA Course Fees Structure
| Particulars | Amount (INR) |
|---|---|
| 1st Semester Fee | 30,000 |
| 2nd Semester Fee | 30,000 |
| 3rd Semester Fee | 30,000 |
| 4th Semester Fee | 30,000 |
| Total Program Fee | 1,20,000 |
Career Path
Industries
Online MCA Program Curriculum
| Course Code | Title of the Course | Credits |
|---|---|---|
| MCAOL101 | ADVANCED DATA STRUCTURES AND ALGORITHMS | 3 |
| MCAOL102 | ADVANCED PYTHON PROGRAMMING | 3 |
| MCAOL103 | ADVANCED OPERATING SYSTEMS | 4 |
| MCAOL104 | RELATIONAL DATABASE MANAGEMENT SYSTEMS | 3 |
| MCAOL105 | MATHEMATICAL METHODS | 4 |
| MCAOL106 | ADVANCED DATA STRUCTURES AND ALGORITHMS LAB | 2 |
| MCAOL107 | ADVANCED PYTHON PROGRAMMING LAB | 2 |
| MCAOL108 | RDBMS LAB | 2 |
| Total Credits | 23 | |
| Course Code | Title of the Course | Credits |
|---|---|---|
| MCAOL201 | MACHINE LEARNING WITH PYTHON | 3 |
| MCAOL202 | ADVANCED JAVA PROGRAMMING | 3 |
| MCAOL203 | DESIGN AND ANALYSIS OF ALGORITHMS | 4 |
| MCAOL204 | FULL STACK DEVELOPMENT | 3 |
| MCAOL205 | COMPUTER COMMUNICATION NETWORK | 3 |
| MCAOL206 | ADVANCED JAVA PROGRAMMING LAB | 2 |
| MCAOL207 | MACHINE LEARNING WITH PYTHON LAB | 2 |
| MCAOL208 | FULL STACK DEVELOPMENT LAB | 2 |
| MCAOL209X | ELECTIVE – I | 4 |
| Total Credits | 26 | |
| Course Code | Title of the Course |
|---|---|
| MCAOL201 | CLOUD COMPUTING TECHNOLOGIES |
| MCAOL202 | BIG DATA ANALYTICS |
| MCAOL203 | DATA SCIENCE |
| MCAOL204 | QUANTUM ALGORITHMS |
| MCAOL205 | BLOCKCHAIN TECHNOLOGIES |
| Course Code | Title of the Course |
|---|---|
| MCAOL3031 | CLOUD SECURITY & INFRASTRUCTURE |
| MCAOL3032 | DATA ANALYTICS & VISUALIZATION |
| MCAOL3033 | ARTIFICIAL INTELLIGENCE |
| MCAOL3034 | QUANTUM INFORMATION |
| MCAOL3035 | RESEARCH METHODOLOGY & IPR |
| Course Code | Title of the Course |
|---|---|
| MCAOL3041 | IOT |
| MCAOL3042 | DATA MINING |
| MCAOL3043 | DEEP LEARNING |
| MCAOL3044 | QUANTUM ERROR CORRECTION |
| MCAOL3045 | MOBILE APPLICATION DEVELOPMENT TECHNIQUES |
| Course Code | Title of the Course |
|---|---|
| MCAOL3051 | INDUSTRIAL IOT AND AUTOMATION |
| MCAOL3052 | BUSINESS INTELLIGENCE TECHNOLOGY |
| MCAOL3053 | NATURAL LANGUAGE PROCESSING |
| MCAOL3054 | QUANTUM MACHINE LEARNING |
| MCAOL3055 | SOFTWARE PROJECT MANAGEMENT |
| Course Code | Title of the Course | Credits |
|---|---|---|
| MCAOL301 | CYBER SECURITY | 4 |
| MCAOL302 | EMBEDDED SYSTEMS AND INTERNET OF THINGS | 3 |
| MCAOL303X | Elective - II | 4 |
| MCAOL304X | Elective - III | 4 |
| MCAOL305X | Elective - IV | 4 |
| MCAOL306 | DESIGN AND ANALYSIS OF ALGORITHMS LAB | 2 |
| MCAOL307 | MINI PROJECT | 4 |
| Total Credits | 25 | |
| Course Code | Title of the Course | Credits |
|---|---|---|
| MCAOL401X | GENERAL ELECTIVE | 4 |
| MCAOL402 | PROJECT | 6 |
| Total Credits | 10 | |
| Grand Total | 84 | |
GENERAL ELECTIVE
| Sem | Code | GENERAL ELECTIVE | Credits |
|---|---|---|---|
| 3 | MCAOL4011 | BUSINESS DATA ANALYTICS | |
| 3 | MCAOL4012 | INDUSTRIAL SAFETY | >|
| 3 | MCAOL4013 | OPERATIONS RESEARCH |
Our Faculty
Dr. KAVITHA S N
Program Coordinator and Associate Professor
MCA Department
Qualification:
MCA, Ph.D
PROF. K. TASMAYUN SULTANA
Assistant Professor and Course Coordinator
MCA Department
Qualification:
MCA
PROF. SONI AGRAWAL
Assistant Professor and Course Coordinator
MCA Department
Qualification:
MCA
e-Tutorials
(Video and Audio Content)
- Live and recorded lectures by experienced faculty members and industry professionals.
e-Content
(Digital Resources)
- Self-paced learning modules accessible 24/7.
- Extensive digital library with e-books and journals.
- Downloadable notes, infographics, and templates.
- Real-world case studies and scenarios.
Web Resources
(Discussion Forums and Interaction)
- Interactive forums for peer learning.
- Virtual events with industry leaders.
Assessment
(Tests and Assignments)
- Regular quizzes and reflective exercises.
- Real-world business projects.
- Automated LMS feedback.
- End-term examination.
Eligibility Criteria
| Minimum Qualification | Bachelor's Degree of minimum 3 years duration recognized by the University. |
|---|---|
| Equivalent Examination | Any exam recognized as equivalent to a Bachelor's Degree. |
| Minimum Marks Required | 50% aggregate marks in all years of the degree examination. |
| Relaxation for Reserved Categories | 45% aggregate for candidates belonging to SC / ST / OBC categories. |
How to Apply:
A Step-by-Step Guide
Step 1: Register Yourself
Create your account on the admission portal to begin your journey.
Step 2: Verify Email ID & Phone Number
Confirm your email and mobile number through OTP for secure access.
Step 3: Pay Application Fee
Complete the one-time non-refundable application fee of ₹1,000/- through our secure payment gateway to proceed further.
Step 4: Fill Application Details
Provide your personal, academic, and professional information accurately.
Step 5: Upload Your Documents
Submit scanned copies of your photographs, certificates, and ID proofs.
Step 6: Submit Application
Review all details and submit your application for processing.
Step 7: Get Admission Enrolled
Receive your admission confirmation and join the Online MCA batch!
