School of Engineering

Master of Computer Applications (M.C.A.)

MCA programme designed and aligned with industry Standards and benchmark. It aims to provide a solid foundation in Mathematics, Statistics, Competitive Programming, Internship and Research to develop the younger minds to work as a team and improve programming and leadership skills. At the end of program, the learner can become a computer software expert and join in any software industry. The MCA programme comprised of different specializations such as Data Science, Software Engineering & Management, Cyber Security, Graphics Visualization, Theoretical Computer Science and Cloud Computing.

Programme Highlights

MCA programme at Chanakya University aims to impart computer application knowledge and computer application research for learners that makes them industry ready responsible citizen. The objectives of the programmes are as follows

  1. To provide in-depth domain knowledge to learners
  2. To equip learners with problem-solving, programming Skills and application knowledge c) To train learners in developing software packages
  3. To make learners proficient in communication and presentation Skills
  4. To prepare the learners to become responsible citizen

Semester I

Semester II

#

Course Title

Credits

#

Course Title

Credits

1

Mathematical Foundation for Computer Applications

4

1

Object-oriented Programming

4

2

Database Management Systems

4

2

Full Stack Development

4

3

Computer Systems

4

3

Machine Learning

4

4

Data Structures & Algorithms

4

4

Elective 1

4

5

Graduate Core 1

4

5

Graduate Core 2

4

6

Graduate Core 3

4

Semester Credits

20

Semester Credits

24

Core Credits

16

Core Credits

16

Graduate Core Credits

4

Graduate Core Credits

8

Accumulated Credits

44

Semester III

Semester IV

#

Course Title

Credits

#

Course Title

Credits

1

Python Programming

4

1

Internship

12

2

Elective 2

4

3

Elective 3

4

4

Project

4

5

Graduate Core 4

4

6

Graduate Core 5

4

Semester Credits

24

Semester Credits

12

Core Credits

16

Core Credits

12

Graduate Core Credits

8

Graduate Core Credits

0

Accumulated Credits

68

Accumulated Credits

80

 

Elective 1Elective 2Elective 3
Statistical Methods for Data ScienceDeep LearningReal Time Analytics
Software EngineeringSoftware Project ManagementSoftware Testing
Cryptography and Network SecurityEthical Hacking and Digital ForensicsCloud Security
Computer GraphicsVirtual Reality and Augmented RealityUI-UX HCI
Theory of ComputationDesign and Analysis of AlgorithmsSystem Simulation
Cloud ComputingCloud Services and NetworkingCloud Security

 

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