MCA

For admission into Master Degree in Computer Application (MCA 2yrs)

Passed or appearing in 2022, for the Bachelor’s Degree examination of minimum three years duration in any discipline from any University of Odisha or from a recognized University as defined by UGC and must have passed in Mathematics at 10+2 level or at Graduate Level. Business Mathematics at +2 level is not permitted.

The candidate should have obtained at least 50% (45% in case of candidate belonging to SC/ST category) in the qualifying Examination.

If the candidate has passed BCA with mathematics as a subject, he/she may appear the entrance test without Mathematics at 10+2 level.

There is no upper age limit for admission to MCA course.

(FIRST YEAR)

First Semester

SI

No.

Category Sub Code Name of the subjects L- T- P Credit University Marks Internal Evaluation Total Marks
1 BS MCA01001 Discrete Mathematics 3-0-0 3 100 50 150
2 PC MCA01002 Computer System Architecture 3-0-0 3 100 50 150
3 PC MCA01003 C and Data Structure 3-0-0 3 100 50 150
4 PC MCA01004 Operating System 3-0-0 3 100 50 150
5 PC MCA01005 Database Engineering 3-0-0 3 100 50 150
TOTAL Credit (Theory) 15      
Total Marks   500 250 750

 

Practical
SI

No.

Category Sub Code Name of the subjects L- T- P Credit University Marks Internal Evaluation Total Marks
1 PC MCA01006 Data Structure Using C Lab 0-0-3 2 100 100
2 PC MCA01007 Operating System Lab 0-0-3 2 100 100
3 PC MCA01008 Database Engineering Lab 0-0-3 2 100 100
TOTAL Credit (Theory) 6      
Total Semester Credit 21      
Total Marks     300 300

 

Second Semester

SI

No.

Category Sub Code Name of the subjects L- T- P Credit University Marks Internal Evaluation Total Marks
1 PC MCA02001 Computer Networks 3-0-0 3 100 50 150
2 PC MCA02002 Analysis and Design of Algorithms 3-0-0 3 100 50 150
3 PC MCA02003 Object Oriented Programming Using Java 3-0-0 3 100 50 150
4 PC MCA02004 Object Oriented Analysis & Design 3-0-0 3 100 50 150
5 PC MCA02005 Internet and Web Programming 3-0-0 3 100 50 150
TOTAL Credit (Theory) 15      
Total Marks   500 250 750

 

Practical
SI

No.

Category Sub Code Name of the subjects L- T- P Credit University Marks Internal Evaluation Total Marks
1 PC MCA02006 Java and Python Programming Lab 0-0-3 2 100 100
2 PC MCA02007 Computer Networks Lab 0-0-3 2 100 100
3 PC MCA02008 Algorithm Design Lab 0-0-3 2 100 100
TOTAL Credit (Theory) 6      
Total Semester Credit 21      
Total Marks     300 300

Second Year

Third Semester

SI

No.

Category Sub Code Name of the subjects L- T- P Credit University Marks Internal Evaluation Total Marks
1 PC MCA03001 Software Engineering 3-0-0 3 100 50 150
2 PC MCA03002 Compiler Design 3-0-0 3 100 50 150
3 NPTEL-MOOC MCA03003 (NM-) Elective- I (To be opted from NPTEL MOOC Pool 3-0-0 3
4 NPTEL- MOOC MCA03004 (NM-) Elective-II (To be opted from NPTEL MOOC Pool 3-0-0 3
5 NPTEL-MOOC MCA03005 (NM-) Elective- III (To be opted from NPTEL MOOC Pool 3-0-0 3
TOTAL Credit (Theory) 15      
Total Marks   200 100 300
Practical
SI

No.

Category Sub Code Name of the subjects L- T- P Credit University Marks Internal Evaluation Total Marks
1 PC MCA03006 Software Engineering Lab 0-0-3 2 100 100
2 PC MCA03007 Seminar and Technical 0-0-3 2 100 100
3 PC MCA03008 Web Programming Lab 0-0-3 2 100 100
TOTAL Credit (Theory) 6      
Total Semester Credit 21      
Total Marks     300 300

NPTEL MOOC Pool (For Elective-I, Elective-II and Elective-III)

(Student must choose a Course of 8 weeks or more duration and must submit the relevant certificate from NPTEL to the University through the NPTEL Local Chapter before completion of the 4th Semester for the required credit transfer. No University examinations will be conducted for these subjects. Faculty mentors are to be assigned for guiding and monitoring these students through the corresponding NPTEL local chapters)

Subject Code Subject Name
NM-1 Artificial Intelligence
NM-2 Soft Computing
NM-3 Computer Network security
NM-4 Information System Design
NM-5 Real-time System
NM-6 Mobile Computing
NM-7 Introduction to Data Science
NM-8 Machine Learning
NM-9 Internet-of-Things
NM-10 Big-Data Analytics
NM-11 Cyber Law and Security
NM-12 Intellectual Property Rights
NM-13 Embedded System
NM-14 Management Information System
NM-15 Digital Image Processing
NM-16 Data Mining
NM-17 Advanced Computer Networks
NM-18 Distributed Operating System
NM-19 Cloud Computing
NM-20 Simulation and Modeling
NM-21 Wireless Sensor Networks
NM-22 Software Project management
NM-23 Advance Database Management Systems
NM-24 Data Analytics
NM-25 Advanced Computer Architecture
NM-26 Intelligence Data Analysis
NM-27 Deep Learning
NM-28 E-Commerce and ERP
NM-29 Computer Graphics and Multimedia
NM-30 Computer Based Optimization techniques

Fourth Semester

SI

No.

Category Sub Code Name of the subjects L- T- P Credit University Marks Internal Evaluation Total Marks
1 PC MCA04001 Comprehensive Viva – Voice 0-0-2 2 100 100
2 PC MCA04002 Internship / Major Project 0-0-8 15 500 500
TOTAL Credit (Theory) 15      
Total Semester Credit 17      
Total Marks     600 600

Tuition Fee: Rs. 62,000 per year

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