Master of Computer Application(MCA)(AICTE Approved) Back
Reception Desk : 0181-2296605, 2296606
For Admission related queries : 7009969253,9814406986
Email Id : kmvoffice1886@gmail.com,
kmvjalandhar@yahoo.com, kmviqac127@gmail.com
- Only College under GNDU to be bestowed with FIST & CURIE grant by DST- Govt. of India
- Star College by DBT- Govt. of India
- Designated College with Potential for Excellence
- Accredited ‘A’ by UGC-NAAC
- Recognised as a Center of Excellence by RASCI, Government of India
- Best College in Punjab as per the Surveys
- Kaushal Kendra by UGC, MHRD, Govt. of India and first College under GNDU to have been granted Kaushal Kendra
Faculty of Computer Science & Information Technology (Post Graduate Programmes)
- Continuous Industry Interface and Collaborations for Internship and Placements
- Dedicated and highly qualified faculty & ICT based teaching
- Credit based system at par with International requirements
- State of the Art Infrastructure, MCA curriculum well aligned with the frameworks and criteria of AICTE, UGC, NASSCOM and NIRF
- Multidisciplinary Approach with Electives and MOOCS
- Strong inclusion of cutting-edge technologies like Machine Learning, Deep Learning, Data Science, Full Stack Development, DevOps, Big Data and Information Security
- Focus on Innovation and Real World Problem solving
Eligibility
Passed any graduation degree (e.g.: B.E./ B.Tech./ B.Sc./ B.Com./ B.A./ B.Voc./ BCA/ B.Sc. IT etc.) preferably with Mathematics at 10+2 level or at Graduation level, obtained at least 50% marks aggregate or 5.0 CGPA (45% marks in case of candidates belonging to SC/ST category) in the qualifying examination.
(For students having no Mathematics background, compulsory bridge courses related to computer subjects will be framed by the College as per the norms of the AICTE/UGC/College.)
Duration
2 YearsSemesters
4 SemestersSemester Details
-
Semester-I
-
- Design and Analysis of Algorithm
- Web Technologies
- Data Science Foundation
- Probability and Statistical Techniques
- Information Security (General Elective)
- Programming Lab based on Web Technologies
- Programming Lab based on Data Science
- *Fundamentals of Computers (Bridge Course)
- *Programming in C (Bridge Course)
**Students can opt any one of the following interdisciplinary courses
* For students having no mathematics background at 10 +2 or graduation level , compulsory bridge courses have to be qualified . Credits and grade points of these courses will not be included to the SGPA/CGPA of the semester/programme.
- IDEC-1101- Effective Communication Skills
- IDEM-1362- Basics of Music (Vocal)
- IDEI -1313- Human Rights and Constitutional Duties
- IDEW-1275- Indian Heritage: Contribution to the world
Options for General Elective
- Option I- Advanced Computer Graphics
- Option II- Information Security
- Option III- ***Skill Oriented MOOCS (related to IT/AI/Computer)
***Skill Oriented MOOCS courses can be explored on Swayam Portal and other websites offering MOOCS with at least 4 credits, otherwise Dept. will provide a list of available MOOCS Courses.
Note: Student can opt any of one General Elective Courses.
-
-
Semester-II
- Full Stack Development
- Advanced Database Management System
- Machine Learning
- Software Project Management
- Theory of Computation (General Elective –II)
- Programming Lab based on Advanced Database Management System
- Programming Lab based on Full Stack Development
- Human Rights and Constitutional Duties (VAC)
Options for General Elective-II
- Option I- Big Data Analytics and Business Intelligence
- Option II- Theory of Computation
*Skill Oriented MOOCS courses can be explored on Swayam Portal and other websites
offering MOOCS with at least 4 credits, otherwise Dept. will provide a list of available
MOOCS Courses.
Note: Student can opt any of one General Elective Courses.
-
Semester-III
-
Semester-IV
Quick Links
Semester-I
-
- Design and Analysis of Algorithm
- Web Technologies
- Data Science Foundation
- Probability and Statistical Techniques
- Information Security (General Elective)
- Programming Lab based on Web Technologies
- Programming Lab based on Data Science
- *Fundamentals of Computers (Bridge Course)
- *Programming in C (Bridge Course)
**Students can opt any one of the following interdisciplinary courses
* For students having no mathematics background at 10 +2 or graduation level , compulsory bridge courses have to be qualified . Credits and grade points of these courses will not be included to the SGPA/CGPA of the semester/programme.
- IDEC-1101- Effective Communication Skills
- IDEM-1362- Basics of Music (Vocal)
- IDEI -1313- Human Rights and Constitutional Duties
- IDEW-1275- Indian Heritage: Contribution to the world
Options for General Elective
- Option I- Advanced Computer Graphics
- Option II- Information Security
- Option III- ***Skill Oriented MOOCS (related to IT/AI/Computer)
***Skill Oriented MOOCS courses can be explored on Swayam Portal and other websites offering MOOCS with at least 4 credits, otherwise Dept. will provide a list of available MOOCS Courses.
Note: Student can opt any of one General Elective Courses.
Semester-II
- Full Stack Development
- Advanced Database Management System
- Machine Learning
- Software Project Management
- Theory of Computation (General Elective –II)
- Programming Lab based on Advanced Database Management System
- Programming Lab based on Full Stack Development
- Human Rights and Constitutional Duties (VAC)
Options for General Elective-II
- Option I- Big Data Analytics and Business Intelligence
- Option II- Theory of Computation
