MASTER IN COMPUTER APPLICATION(MCA)
Program Details
Program Details:
MCA is a semester based 2 years program with total 4 semesters. The broad objective of the MCA program is to prepare graduate students for productive careers in software industry and academia by providing an outstanding environment for teaching and research in the core and emerging areas of the discipline. The programs thrust is on giving the students a thorough and sound background in theoretical and application -oriented course relevant to the latest computer software development. The program emphasizes the application or software technology to solve mathematical, computing, communications/ networking and commercial problems.
Duration: Minimum 2 years and Maximum 4 years
Eligibility Criteria
Passed BCA/Bachelor Degree inComputer Science Engineering or Equivalent Degree.
OR
Passed B.Sc./B.Com./B.A. with mathematics at 10+2 Level or at Graduation Level (with additional Bridge Courses)
Course Structure:
Total Course – 22
Total Credits - 80
Semester I
SN |
Course Code |
Course Title |
Credits |
1 |
MCS-211 |
Design & Analysis of Algorithms |
4 |
2 |
MCS-212 |
Discrete Mathematics |
4 |
3 |
MCS-213 |
Software engineering |
4 |
4 |
MCS-214 |
Professional Skills and Ethics |
2 |
5 |
MCS-215 |
Security and Cyber Laws |
2 |
6 |
MCSL-216 |
DAA and Web Design Lab |
2 |
7 |
MCSL-217 |
Software Engineering Lab |
2 |
20 |
Extra Course (To be opted in 1st semester)
SN |
Course Code |
Course Title |
Credits |
1 |
MCS-201 |
Programming in C and Python |
4 |
2 |
MCS-208 | Data Structures and Algorithm | 4 |
Semester II
SN |
Course Code |
Course Title |
Credits |
1 |
MCS-218 |
Data Communication & Computer Networks |
4 |
2 |
MCS-219 |
Object Oriented Analysis & Design |
4 |
3 |
MCS-220 |
Web Technologies |
4 |
4 |
MCS-221 |
Data warehousing and Data Mining |
4 |
5 |
MCSL-222 |
OOAD and Web Technologies Lab |
2 |
6 |
MCSL-223 |
Computer Network & Data Mining Lab |
2 |
20 |
Semester III
SN |
Course Code |
Course Title |
Credits |
1 |
MCS-224 |
Artificial Intelligence & Machine Learning |
4 |
2 |
MCS-225 |
Accountancy and Financial Management |
4 |
3 |
MCS-226 |
Data Science & Big Data |
4 |
4 |
MCS-227 |
Cloud Computing and IoT |
4 |
5 |
MCSL-228 |
AI and Machine Learning Lab |
2 |
6 |
MCSL-229 |
Cloud and data Science Lab |
2 |
20 |
Semester IV
SN |
Course Code |
Course Title |
Credits |
1 |
MCS-230 |
Digital Image Processing and Computer Vision |
4 |
2 |
MCS-231 |
Mobile Computing |
4 |
3 |
MCSP-232 |
Project |
12 |
20 |
Note: Students WITHOUT Mathematics at 10+2 level or at Graduation level are not eligible for ODL/Online MCA
programme.
Mandatory Documents Required During Admission:
· Bachelor's Transcript
· Bachelors Provisional/degree/ convocation certificate (Any One)
· +2 Transcript
· SLC marksheet
· Citizenship (If Date of Birth is mentioned in A.D) or Else Valid Passport
· 3 Passport size & 2 Auto size photos
Admission Session:
The admission in MCA is taken for January and July Session.
Examination:
The examination will be taken by IGNOU through ICA.
Academic Counseling Session:
1. For few programs Academic Counseling Session is provided for selective subjects only. For further details on Academic Counseling Session do kindly contact Academic Coordinator at academic@ica.edu.np.
2. Practical Lab Classes will be provided on face to face mode which will be held either in the morning shift or in the evening shift for which 75% attendance is mandatory to appear for practical TEE.