Tecnia Institute of Advanced Studies | MBA, BBA, MCA, BCA, BAJMC, Best Colleges in GGSIPU University Delhi

A Unit of Health & Education Society (Regd.)

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  • Recognized Under Sec. 2(f) of UGC Act 1956,
  • Approved by AICTE, Ministry of Education, Govt. of India,
  • Affiliated to Guru Gobind Singh Indraprastha University.

ABOUT THE PROGRAMME

The MCA programme’s overarching goal is to educate graduate students for successful careers in
the software industry and academia by providing an excellent environment for teaching and
research in the discipline’s core and growing areas. The program’s emphasis is on providing
students with a solid foundation in theoretical and application-oriented courses relevant to the
most recent computer software development. The curriculum focuses on the use of software
technology to solve mathematical, computing, communications/networking, and business
problems.

This Master’s Degree Program was built with a semester structure in mind. The first-year courses
focus on theoretical knowledge and practical skills development in core computer science areas.
The second year is more focused on advanced courses that provide a conceptual basis for the
project work.

Eligibility

Master of Computer Applications (MCA 2 YEARS)
No. NAME OF PROGRAMME PROGRAMME CODE ADMISSION THROUGH Eligibility Criteria & Admission Criteria
MCA/MCA(SE) 105
  1. NIMCET
  2. CET
  3. CUET#

Eligibility Criteria of MCA/MCA (SE):

    1. Passed BCA/B.Sc. (Computer Science) /B.Sc. (Information Technology)/B.Voc.(Software Development) or equivalent*
    2. OR
    3. Passed at least 03 years Bachelors Degree with Mathematics/ BusinessStatistics/Operation Research or equivalent etc. at 10+2 level or graduation level.

    *The equivalence shall be decided by a committee constituted by Dean, USICT.

  1. The applicant must have obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination.

Note:

  1. In case any Board/University awards grades instead of marks, the calculation of equivalent marks would be based on the procedure prescribed by the Board /University awarding the qualifying degree. Document regarding the conversion must be provided by the candidate itself.
  2. In case a University does not have any scheme for converting CGPA into equivalent marks, the equivalence would be established by dividing obtained CGPA with the maximum possible CGPA and multiplying the resultant with 100.

Admissions Criteria:

The admission to MCA/MCA(SE) will be on the basis of NIMCET/CET/CUET# in following order of priority:

  1. NIMCET
  2. CET (If Seats remain vacant after admission through NIMCET counseling on the basis of merit of NIMCET, the University will consider admission in MCA/MCA (SE) on the basis of CET.
  3. The vacant seats after exhausting the merit list of CET will be filled through the merit list of CUET#

Note: The applicants, if admitted, may have to study additional bridge courses as per the norms of the University.

Duration

S.No.Course DurationAbbreviated Name of ProgrammeProgramme CodeAdmission Through TestEligibility Criteria & Admission Criteria
1.

MASTER OF COMPUTER APPLICATIONS /MASTER OF COMPUTER APPLICATIONS(SOFTWARE ENGINEERING)
Note: The admission to MCA/MCA(SE) will be on the basis of NIMCET/CET/CUET# in following order of priority:

  1. NIMCET
  2. CET (If Seats remain vacant after admission through NIMCET counseling on the basis of merit of NIMCET, the University will consider admission in MCA/MCA (SE) on the basis of CET.
  3. The vacant seats after exhausting the merit list of CET will be filled through the merit list of CUET#.
  4. Note: The applicants, if admitted, may have to study additional bridge courses as per the norms of the University.
2 yrsMCA/MCA (SE)105
  1. NIMCET
  2. CET
  3. CUET#

CURRICULAR COMPONENTS

The MCA programme is structured to provide a comprehensive and career-oriented learning experience. It combines core subjects, interdisciplinary knowledge, skill-building courses, and practical training to ensure students are well-prepared for the industry.

CREDIT DISTRIBUTION FOR 2-YEAR MCA PROGRAMME
No.
BROAD CATEGORY OF COURSE MINIMUM CREDIT REQUIREMENT
Core Courses (CCT/CCP/PCE) 40
Core Elective – I (Choose any One) 04
Core Elective – II (Choose any One) 04
Core Elective – III (Choose any One) 04
Open Elective – I (Choose any One) 04
Open Elective – II (Choose any One) 04
Value Added Courses (VA) 15
Practical & Projects 21
Dissertation (Major Project) 20
  Total 116

Generic (Open) Electives for other undergraduate programmes

The following MCA Core courses may be available as Core Electives or Generic Electives in certain Postgraduate programmes. The maximum number of students from other schools, departments, or programs may not exceed 20% of the overall program intake.

No.SEMESTERSUBJECT CODESEMESTER
FIRST SEMESTERNANA
CORE ELECTIVE-I (CHOOSE ANY ONE)
SECOND SEMESTERMCA-108Advanced Database Management Systems
MCA-110Data Warehousing and Data Mining
MCA-122Mobile Applications Design and Development
MCA-114Full Stack Development
MCA-116Web Technologies
MCA-118Theory of Computations
MCA-120Software Testing
MCA-122Microprocessors
MCA-124Embedded System
MCA-126Information Security
OPEN ELECTIVE – I (CHOOSE ANY ONE)
MCA-128Digital Marketing
MCA-130Management information System
MCA-132Management Principles and Organizational Behavior
MCA-134Finance and Accounting
CORE ELECTIVE-II (CHOOSE ANY ONE)
THIRD SEMESTERMCA-205Statistics and Data Analytics
MCA-207Enterprise Computing with JAVA
MCA-209Natural Language Processing
MCA-211Computer Graphics
MCA-213Wireless Sensor Networks
MCA-215Software Project Management
MCA-217Advanced Computer Architecture
MCA-219Distributed Systems
MCA-221Applied Cryptography
MCA-223Cloud Computing
MCA-225e-Business Systems
CORE ELECTIVE-III (CHOOSE ANY ONE)
MCA-227Web Intelligence and Big Data
MCA-229Flutter and Dart
MCA-231Service Oriented Architecture
MCA-233Multimedia Technologies
MCA-255Internet of Things
MCA-237Soft Computing
MCA-239Software Quality Management
MCA-241Digital image Processing
MCA-243Compiler Design
MCA-245Parallel Computing
MCA-247Numerical and Scientific Computing
Open Elective-II (Choose any One)
MCA-249Research Methodology
MCA-251Operational Research
MCA-253Cyber Security and Cyber Laws
MCA-255e-Content Development

GRADUATE
ATTRIBUTES (GA)

It is envisioned that the graduates passing out MCA degree, will be able to possess following Graduate Attributes and demonstrate related competencies:

Computational Knowledge

Demonstrate competencies in fundamentals of computing, computing specialization, mathematics and domain knowledge suitable for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.

Problem Analysis

Identify, formulate and analyze complex real-life problems in order to arrive at computationally viable conclusions using fundamentals of mathematics, computer sciences, management and relevant domain disciplines.

Design /Development of Solutions

Design efficient solutions for complex, real-world problems to design systems, components or processes that meet the specifications with suitable consideration to public health, safety, cultural, societal and environmental considerations.

Conduct Investigations of Complex Computing Problems

Ability to research, analyze and investigate complex computing problems through design of experiments, analysis and interpretation of data and synthesis of the information to arrive at valid conclusions.

Modern Tool Usage

Create, select, adapt and apply appropriate technologies and tools to a wide range of computational activities while understanding their limitations

Professional Ethics

Ability to perform professional practices in an ethical way, keeping in the mind cyber regulations & laws, responsibilities and norms of professional computing practices.

Life-long Learning

Ability to engage in independent learning for continuous selfdevelopment as a computing professional.

Project Management & Finance

Ability to apply knowledge and understanding of the computing and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects in multidisciplinary environments.

Communication Efficacy

Ability to effectively communicate with the technical community and with the society at large about complex computing activities by being able to understand and write effective reports, design documentation, make effective presentations with the capability of giving and taking clear instructions.

Societal & Environmental Concern

Ability to recognize and assess societal, environmental, health, safety, legal and cultural issues within local and global contexts and the consequential responsibilities applicable to professional computing practices.

Individual & Team Work

Ability to work in multi-disciplinary team collaboration both as a member and leader, as per need.

Innovation & Entrepreneurship

Ability to apply innovation to track a suitable opportunity to create value and wealth for the betterment of the individual and society at large.

No.NOTICESPDF
MCA Graduate Attributes

PROGRAM EDUCATION OBJECTIVES

It is envisioned that the graduates passing out MCA degree, will achieve the following objectives and accomplishments,in a span of 05 – 10 years’ time, after having passed the MCA degree:

PEO 1:

Exhibit professional competencies and knowledge for being a successful technocrat.

PEO 2:

Adopt creative and innovative practices to solve real-life complex problems.

PEO 3:

Be a lifelong learner and contribute effectively to the betterment of the society.

PEO 4:

Be effective and inspiring leader for fellow professionals and face the challenges of the rapidlychanging multi-dimensional, contemporary world.

No.NOTICESPDF
MCA Program Educational Objectives (PEO)

PROGRAMME OUTCOMES (POS):

It is envisioned that the graduates passing out MCA degree, will be able to possess following Graduate Attributes and demonstrate related competencies:

PO1:
Computational Knowledge

Demonstrate competencies in fundamentals of computing, computing specialization, mathematics and domain knowledge suitable for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.

PO2:
Problem Analysis

Identify, formulate and analyze complex real-life problems in order to arrive at computationally viable conclusions using fundamentals of mathematics, computer sciences, management and relevant domain disciplines.

PO3:
Design /Development of Solutions

Design efficient solutions for complex, real-world problems to design systems, components or processes that meet the specifications with suitable consideration to public health, safety, cultural, societal and environmental considerations.

PO4:
Conduct Investigations of Complex Computing Problems

Ability to research, analyze and investigate complex computing problems through design of experiments, analysis and interpretation of data and synthesis of the information to arrive at valid conclusions.

PO5:
Modern Tool Usage

Create, select, adapt and apply appropriate technologies and tools to a wide range of computational activities while understanding their limitations

PO6:
Professional Ethics

Ability to perform professional practices in an ethical way, keeping in the mind cyber regulations & laws, responsibilities and norms of professional computing practices.

PO7:
Life-long Learning

Ability to engage in independent learning for continuous selfdevelopment as a computing professional.

PO8:
Project Management & Finance

Ability to apply knowledge and understanding of the computing and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects in multidisciplinary environments.

PO9:
Communication Efficacy

Ability to effectively communicate with the technical community and with the society at large about complex computing activities by being able to understand and write effective reports, design documentation, make effective presentations with the capability of giving and taking clear instructions.

PO10:
Societal & Environmental Concern

Ability to recognize and assess societal, environmental, health, safety, legal and cultural issues within local and global contexts and the consequential responsibilities applicable to professional computing practices.

PO11:
Individual & Team Work

Ability to work in multi-disciplinary team collaboration both as a member and leader, as per need.

PO12:
Innovation & Entrepreneurship

Ability to apply innovation to track a suitable opportunity to create value and wealth for the betterment of the individual and society at large.

No.NOTICESPDF
MCA Program Outcomes (POs)

MCA COURSE OUTCOMES

First Semester Wise Course Outcomes
Code No.PaperNEP Course CategoryLT/PCreditsCOs
MCA-101Discrete StructuresCore Course Theory314

MCA-103Computer NetworksCore Course Theory314

MCA-105Operating Systems with LinuxCore Course Theory314

MCA-107Database Management SystemsCore Course Theory314

MCA-109Object Oriented Programming and JAVACore Course Practical314

MCA-161Computer Networks Lab.Core Course Practical021

MCA 163Operating Systems with Linux Lab.Core Course Practical021

MCA 165Database Management Systems Lab.Core Course Practical021

MCA 167Object Oriented Programming and JAVA Lab.Core Course Practical021

MCA 169Minor Project – ICore Course Practical063

MCA 171Professional Proficiency- I (It is suggested to have Personality Development and Communication Skills Course)—021

 Total 152128 

Note :

* NUES (Non – University Examination Subject)
Second Semester Wise Course Outcomes
Code No.PaperNEP Course CategoryLT/PCreditsCOs
MCA-102Data and File StructuresCore Course Theory314
MCA 104Object Oriented Software EngineeringCore Course Theory314
MCA 106Python ProgrammingCore Course Theory314
MCA 108Advanced Database Management SystemsCore Electives314
MCA 110Data Warehousing and Data MiningCore Electives314
MCA 112Mobile Applications Design and DevelopmentCore Electives314
MCA 114Full Stack DevelopmentCore Electives314
MCA 116Web TechnologiesCore Electives314
MCA 118Theory of ComputationsCore Electives314
MCA 120Software TestingCore Electives314
MCA 122MicroprocessorsCore Electives314
MCA 124Embedded SystemCore Electives314
MCA 126Information SecurityCore Electives314
MCA 128Digital MarketingOpen Electives314
MCA 130Management information SystemOpen Electives314
MCA 132Management Principles and Organizational BehaviorOpen Electives314
MCA 134Information SecurityCore Electives314
MCA 164Object Oriented Software Engineering LabCore Course Practical021
MCA 166Python Programming Lab.Core Course Practical021
MCA 168Lab. based on Core Elective-ICore Course Practical021
MCA 170Minor Project-IICore Course Practical063
MCA 172Environment Science (NUES)NUES303
MCA 174Professional Proficiency – II (It is suggested to have Technical Paper Writing Course)NUES021
 Total 182131 
* Non-University Examination System (NUES)
Third Semester Wise Course Outcomes
Code No. Paper NEP Course Category L T/P Credits COs
MCA 201 Design and Analysis of Algorithms Core Course Theory 3 1 4
MCA 203 Artificial Intelligence and Machine Learning Core Course Theory 3 1 4
MCA 205 Statistics and Data Analytics Core Elective II 3 1 4
MCA 207 Enterprise Computing with JAVA Core Elective II 3 1 4
MCA 209 Natural Language Processing Core Elective II 3 1 4
MCA 211 Computer Graphics Core Elective II 3 1 4
MCA 213 Wireless Sensor Networks Core Elevtive II 3 1 4
MCA 215 Software Project Management Core Elevtive II 3 1 4
MCA 217 Advanced Computer Architecture Core Elevtive II 3 1 4
MCA 219 Distributed Systems Core Elevtive II 3 1 4
MCA 221 Applied Cryptography Core Elevtive II 3 1 4
MCA 223 Cloud Computing Core Elevtive II 3 1 4
MCA 225 e-Business Systems Core Elevtive II 3 1 4
MCA 227 Web Intelligence and Big Data Core Elevtive III 3 1 4
MCA 229 Flutter and Dart Core Elevtive III 3 1 4
MCA 231 Service Oriented Architecture Core Elevtive III 3 1 4
MCA 233 Multimedia Technologies Core Elevtive III 3 1 4
MCA 235 Internet of Things Core Elevtive III 3 1 4
MCA 237 Soft Computing Core Elevtive III 3 1 4
MCA 239 Software Quality Management Core Elevtive III 3 1 4
MCA 241 Digital image Processing Core Elevtive III 3 1 4
MCA 243 Compiler Design Core Elevtive III 3 1 4
MCA 245 Parallel Computing Core Elevtive III 3 1 4
MCA 247 Numerical and Scientific Computing Core Elevtive III 3 1 4
MCA 249 Research Methodology Open Elevtive II 3 1 4
MCA 251 Operational Research Open Elevtive II 3 1 4
MCA 253 Cyber Security and Cyber Laws Open Elevtive II 3 1 4
MCA 255 e-Content Development Open Elevtive II 3 1 4
MCA 261 Design and Analysis of Algorithms Lab. Core Course Practical 0 2 1
MCA 263 Artificial Intelligence and Machine Learning Lab. Core Course Practical 0 2 1
MCA 265 Lab. based on Core Elective-II Core Course Practical 0 2 1
MCA 267 Lab. based on Core Elective-III Core Course Practical 0 2 1
MCA 269 Minor Project-III Core Course Practical 0 6 3
MCA 271 Entrepreneurship Mindset (NUES) NUES 3 0 3
MCA 273 Professional Proficiency – III (It is suggested to have IPR, Human Valuesand Professional Ethics Course) NUES 0 2 1
  Total   18 21 31  
Four Semester Wise Course Outcomes
Code No.PaperNEP Course CategoryLT/PCreditsCOs
MCA 202Dissertation (Major Project)Summer Internship0020

MCA 272One MOOC Course (from SWAYAM Platform) (NUES)NUES––2

MCA 274Professional Proficiency – lV
(Seminar and Progress Report)
—––4

 Total   26 

*Non-University Examination System (NUES) Important Notes:

  1. As mandated by the statutory bodies, every student shall be given 03 weeks induction training in the beginning of the first semester. Detailed guidelines for the same shall be finalized through Programme Co-ordination Committee.
  2. Institutions shall also be required to facilitate the non-computer science students for successfully completing the Bridge Courses from MOOC platform. If required, Institution may also conduct make-up classes or tutorial sessions for such students.
  3. In order to conduct classes for Electives (Core or Open), there must be a minimum of 20 students in that Elective. However, if the numbers of students are less than 20 in any of the Electives (Core or Open), the elective course may still be offered but no classes will be held and the students shall be required to successfully complete that course from the MOOC using SAWAYAM or other similar platforms. In that case, students shall be required to obtain prior approval of the Programme Co-ordination Committee for undertaking any course(s) from the MOOC platforms. Requirement of attendance, to such students, shall be waived off based upon the document of having completed the course from MOOC platforms. MCA-272 shall also be completed from the MOOC using SAWAYAM or other similar platforms, as detailed above. However, students shall be required to appear for the examinations conducted by the Institution as teachers' continuous evaluation to earn these credits. The MOOC course should have at least 30 hours of teaching. No direct credit transfer shall be allowed based upon the Certificate of having completed these electives courses from the MOOC platforms.
  4. Detailed modalities of all the NUES Papers and MCA-202 (Dissertation) related guidelines for assessment and evaluation shall be followed as approved by the Programme Co-ordination Committee. The dissertation should be oriented towards socially relevant projects.
  5. The total number of the credits of the MCA programme= 116.

VOCATIONAL COURSES

Code No.PaperLT/PCredits
FIRST SEMESTER EXAMINATION
MCA-171Professional Proficiency – | (lt is suggested to have Personality Development and Communication Skills Course)021
* Non-University Examination System (NUES)
SECOND SEMESTER EXAMINATION
MCA-172Environment Science (NUES)303
MCA-174Professional Proficiency – ll (lt is suggested to have Technical Paper Writing Course)021
* Non-University Examination System (NUES)
THIRD SEMESTER EXAMINATION
MCA-271Entrepreneurship Mindset (NUES)–––
MCA-273Professional Proficiency – lll (lt is suggested to have lPR, Human Values and Professional Ethics Course)–––
* Non-University Examination System (NUES)
FOURTH SEMESTER EXAMINATION
 One MOOC Course (from SWAYAM Platform) (NUES)––2
 Professional Proficiency – lV (Seminar and Progress Report)––4
* Non-University Examination System (NUES)

Important Notes:

  1. As mandated by the statutory bodies, every student shall be given 03 weeks induction training in the beginning of the first semester. Detailed guidelines for the same shall be finalized through Programme Co-ordination Committee.
  2. Institutions shall also be required to facilitate the non-computer science students for successfully completing the Bridge Courses from MOOC platform. If required, Institution may also conduct make-up classes or tutorial sessions for such students.
  3. In order to conduct classes for Electives (Core or Open), there must be a minimum of 20 students in that Elective. However, if the numbers of students are less than 20 in any of the Electives (Core or Open), the elective course may still be offered but no classes will be held and the students shall be required to successfully complete that course from the MOOC using SAWAYAM or other similar platforms. In that case, students shall be required to obtain prior approval of the Programme Co-ordination Committee for undertaking any course(s) from the MOOC platforms. Requirement of attendance, to such students, shall be waived off based upon the document of having completed the course from MOOC platforms. MCA-272 shall also be completed from the MOOC using SAWAYAM or other similar platforms, as detailed above. However, students shall be required to appear for the examinations conducted by the Institution as teachers' continuous evaluation to earn these credits. The MOOC course should have at least 30 hours of teaching. No direct credit transfer shall be allowed based upon the Certificate of having completed these electives courses from the MOOC platforms.
  4. Detailed modalities of all the NUES Papers and MCA-202 (Dissertation) related guidelines for assessment and evaluation shall be followed as approved by the Programme Co-ordination Committee. The dissertation should be oriented towards socially relevant projects.
  5. The total number of the credits of the MCA programme= 116.

Major/ Minor Project

COs & POs MAPPING

S.No. Content PDF
MCA Mapping 2021-22

COs & POs Attainment