M.C.A.
Description:
MCA program 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 program comprised of different streams such as Data mining & ML, Theory of Algorithms, Virtual reality-HCI and Software engineering & Management
Program USPs
- All courses are hands-on
- Andragogical Teaching Methodology Aligned with Industry 4.0
- Openness in deciding upon streams by electives
- Industry Mentor for every single student from III semester onwards
- Group project during the third year
- One Full Semester Internship in the relevant Industry
Stream I : Data science: This stream deals with a variety of subjects like probability & statistics, Data mining and Machine learning. Students will explore various datasets and apply mathematical algorithms to extract inferences & insights linked with data.
Stream II: Theoretical Computer Science: This stream deals with a variety of subjects like theory of computation, design & analysis of algorithms and system simulation. Students will design and trace various algorithms and apply them in different applications. Students will simulate various data structures/algorithms and retrieve inferences & insights after simulation.
Stream III: Graphics Visualization: This stream comprises various subjects like computer graphics, Virtual reality & Augmented reality, UI/UX and HCI. Students will design and develop various graphical applications using different tools related to graphics, virtual reality, UI/UX and HCI. Students will design & visualize input and output of the system.
Stream IV: Software Engineering & Management: This stream consist of various stages of software development such as software engineering, software project management and software testing. Students will analyse the problem, design & code the software, and will apply testing procedure to improve the quality of software.
Course Structure
Sem | Discipline Core (DC) (Major/Minor) | Open Elective (OE) | Foundation Course (FC) | Competence Course (CC) | Total Credits |
I |
Systems (4) |
— |
FC I (3) |
CC – I (4) |
23 |
II |
|
OE-1 (3) |
FC II (3) |
CC – II (2) |
24 |
III |
|
OE-1 (3) |
— |
CC -III (2) |
21 |
IV |
|
— |
— |
— | 12 |
| 60 | 6 | 6 | 8 | 80 |
Elective I Credit: 4 | Elective II Credit: 4 | Elective III Credit: 4 | |
Stream I : Data Science | Probability & Statistics | Data Mining | Machine Learning |
Stream II: Theoretical Computer Science | Theory of Computation | Design & Analysis of Algorithms | System Simulation |
Stream III: Graphics Visualization | Computer Graphics | Virtual Reality & AugmentedReality | UI/UX / HCI |
Stream IV: Software Engineering & Management | Software Engineering | Software Project Management | Software Testing |
· Academic Calendar
Bridge course: Introduction to C- Programming 30 hours
Mathematics: 20 hours