Master of Computer Applications

with Curriculum Aligned to NVIDIA Deep Learning Institute (DLI)

Master of Computer Applications

Master of Computer Applications is a two-year post-graduate programme with curriculum primarily based on the development of application software in diverse areas.

The programme provides the latest elective courses and with emphasis on project work. The programme is inclined towards application development and lays emphasis on the latest programming languages like Python etc. This programme equips students with the knowledge of the development of application software for diverse fields to solve specific problems for the end users or clients. In addition, the programme also emphasizes upon planning, designing, and building of complex commercial application software and system software.

 
Program Specific Outcomes (PSO)
PSO 01

To develop the technological planning and development of software applications in the usage of the modern era.

PSO 02

To demonstrate the ability to simulate, analyse, design, and deploy the software systems in advanced level for the industry and adcademic research.

Programme Outcomes (PO)

To apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

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To identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

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o design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

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To use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

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To create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

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To apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

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To understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

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To apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

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To function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

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To communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

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

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To recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

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Curriculum Details

S.No. Course Code Course Name L T P C
1 CAP1005/CAP1005L Programming and Problem Solving using C 3 0 2 4 SEC
2 CAP4103/CAP4103L Data Structures and Applications 3 0 2 4 DSC
3 CAP4708 Computer Organization and Architecture 3 0 0 3 DSC
4 CAP4102/CAP4102L Advanced Database Management Systems / Advanced Database Management Systems Lab 3 0 2 4 DSC
5 CAP4008/CAP4008L Software Engineering / Software Engineering Lab 3 0 2 4 SEC
Total Credits 19

S.No. Course Code Course Name L T P C
1 MAT2003/MAT2003L Probability and Statistics using Python 3 0 2 4 DSC
2 CAP4005/CAP4005L Computer Networks and Security Essentials 3 0 2 4 DSC
3 CAP3004 Artificial Intelligence 3 0 0 3 DSC
4 CAP4009/CAP4009L Java Programming 3 0 2 4 SEC
5 GMT2761 Principles of Management 2 0 0 2 AEC
6 CAP2016/CAP2016L Full Stack Development 3 0 2 4 SEC
Total Credits 21

S.No. Course Code Course Name L T P C
1 CAP5006 / CAP5006L Operating System 3 0 2 4 DSC
2 CAP5707 Data warehousing and Data Mining 3 0 0 3 DSC
3 CAP5007 / CAP5007L Cloud Computing 3 0 2 4 DSC
4 Departmental elective - 1 3 0 0 3 MIC
5 Departmental elective - 2 3 0 0 3 MIC
6 CAP4013 / CAP4013L Machine Learning using Python 3 0 2 4 SEC
7 CAP4601 Minor Project 5 MDC
Total Credits 26

Course Code Course Title L T P Credits
CAP4502 Major Project 0 0 0 18 MIC
Total Credits 18

S.No. Course Code Course Name L T P C
1 CAP4707 Introduction to Social Network Analysis 3 0 0 3
2 CSE2721 Image Processing 3 0 0 3
3 CAP4704 Big Data Technologies 3 0 0 3
4 CAP5706 Artificial Neural Networks and Deep Learning 3 0 0 3
5 CAP5705 Cryptography and Network Security 3 0 0 3
6 CSE3803 Introduction to Data Science 3 0 0 3
7 CSE3704 Software Testing Methodologies 3 0 0 3
8 CAP4705 E-Commerce 3 0 0 3

Career Path

career-path
  • Database Administrator
  • System Administrator
  • Programmer
  • Full Stack Developer
  • Software Developer/Tester
  • Data Analys
  • Researcher
  • Product manager.

Fee Structure

Yearly
1st Year 2nd Year
₹1,65,000 ₹1,35,000
Semester Wise
1st Sem 2nd Sem 3rd Sem 4th Sem
₹97,500 ₹67,500 ₹67,500 ₹67,500

Admission Process

01

Complete the Application

02

Appear for Entrance test and interview

03

Get shortlisted and Received the offer letter

Master of Computer Applications

Passed BCA/ Bachelor Degree in Computer 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 as per the norms of the University). Obtained at least 50% marks in the qualifying examination.

Admission Enquiry