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Master of Computer Applications (MCA) Course

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MCA

Programme prepares the students to take-up a suitable career in the software industry including design, development and testing. The programme is divided into 4 semesters and the 4th semester is dedicated for Industry Internship. Thus, students acquire the necessary knowledge, skills and aptitude to become future software professional.

Eligibility
Criteria

A candidate shall have passed the qualifying examination BCA/Bachelor Degree in Computer Science Engineering or Equivalent Degree OR Passed B.Sc. /B.Com/B.A. with Mathematics or Business Mathematics or Statistics at (10+2) level or at Graduation level (With Additional bridge courses as per norms of Concerned University) from recognized institutes/ universities with 50% marks(45% in case of SC/ST category).

Programme
Duration

The duration of the programme shall be 2 years divided into 4 semesters.

Course
Highlights

This course is inclined more towards Application Development. The course content can be broadly classified into Foundation, Programming Concepts & Tools, and Advanced Technologies with the last semester dedicated for industry internship.

MU MCA
Advantages

  • Industry linked Curriculum
  • MOOC for selected advanced topics
  • Specialization tracks to choose
  • Life Skills and Professional Skill
  • Certifications by Oracle and Google

Opportunities

  • Software Architect
  • Mobile Application Developer
  • Web & Software Developer
  • Database Administrator
  • Software Tester
  • Cloud Architect
  • Data Scientist

Distinguishing
Features

  • CONSISTENCY : ACADEMICS | PLACEMENTS | SYSTEMS & PRACTICES
  • STRONG ALUMNI NETWORK
  • INDUSTRIAL LINKAGE INTERNSHIPS & PLACEMENTS EXPERT LECTURES & SKILL DEVELOPMENT
  • FACULTY STRENGTH : ENRICHED WITH PhD | AVERAGE EXPERIENCE – 8 YEARS
  • ENGLISH SPEAKING CLUB

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Master of Computer Applications (MCA) Course Details

Semester I
Subject Code Subject Name Elaboration Teaching Scheme (Hours) Credits Theory Marks Practical Marks Total Marks
Theory Practical Tutorial ESE(E) IA CSE Viva (V) Term work (TW)
05MC0101 Data structure using C Core 3 4 0 5 50 30 20 25 25 150
05MC0102 Web application development using PHP Core 0 4 0 2 0 0 0 25 25 50
05MC0103 Object oriented programming using Java Core 3 4 0 5 50 30 20 25 25 150
05MC0104 Operating Systems Core 4 2 0 5 50 30 20 25 25 150
05MC0105 Relational Database Management Systems Core 2 4 0 4 50 30 20 25 25 150
05MC0106 MOOC – HTML / CSS / JS Ability Enhancement 0 0 0 2 0 0 0 0 0 0
05YO0101 Yoga Physical Education (Tertiary) 0 2 0 1 0 0 0 0 0 0
Total 12 20 0 24 650
Semester II
Subject Code Subject Name Elaboration Teaching Scheme (Hours) Credits Theory Marks Practical Marks Total Marks
Theory Practical Tutorial ESE(E) IA CSE Viva (V) Term work (TW)
05MC0201 Computer Networks Core 4 2 0 5 50 30 20 25 25 150
05MC0202 Python Programming Core 3 4 0 5 50 30 20 25 25 150
05MC0203 Mobile Programming Core 3 4 0 5 50 30 20 25 25 150
05MC0204 Mini Project – 1 Core 0 4 0 2 00 00 00 25 25 50
05MC020x Elective -1 Core 0 4 2 4 0 0 0 25 25 50
05MC0209 MOOC – Node / Angular / Express / React JS Ability Enhancement 0 0 0 2 0 0 0 0 0 0
05SL0205 Communication Skills Physical Education (Tertiary) 0 2 0 1 0 0 0 0 0 0
Total 10 20 2 24 550

List of electives – I
1) 05MC0205 – NoSQL Databases
2) 05MC0206 – Image Processing
3) 05MC0207 – Data Analytics and Visualization
4) 05MC0208 – C#.Net

Semester III
Subject Code Subject Name Elaboration Teaching Scheme (Hours) Credits Theory Marks Practical Marks Total Marks
Theory Practical Tutorial ESE(E) IA CSE Viva (V) Term work (TW)
05MC0301 Software Engineering Core 4 0 1 5 50 30 20 0 0 100
05MC0302 Cryptography Core 4 2 0 5 50 30 20 25 25 150
05MC0303 Artificial Intelligence Core 4 2 0 5 50 30 20 0 0 100
05MC0304 Mini Project – 2 (Previous semester electives) Core 0 4 0 2 00 00 00 25 25 50
05MC030X Elective – 2 Core 0 4 2 4 0 0 0 25 25 50
05MC0309 MOOC – Cloud Computing Ability Enhancement 0 0 0 2 0 0 0 0 0 0
05CE0301 Corporate Etiquettes Ability Enhancement 0 2 0 1 0 0 0 0 0 0
Total 12 14 3 24 500

List of electives – II
1) 05MC0305 – Big Data Tools
2) 05MC0306 – Machine Vision
3) 05MC0307 – Machine Learning
4) 05MC0308 – ASP.Net

Semester IV
Subject Code Subject Name Elaboration Teaching Scheme (Hours) Credits Theory Marks Practical Marks Total Marks
Theory Practical Tutorial ESE(E) IA CSE Viva (V) Term work (TW)
05MC0401 Industry Defined Project (Internship) Core 0 36 0 18 0 0 0 250 50 300
Total 0 36 0 300
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