
MCA programme of SGVU-DE is designed to help students meet the increasing demand of qualified professionals in the field of Computer Science and Information Technology. It emphasizes on the application of software’s to solve scientific as well as commercial problems. The programme provides thorough and sound background in theoretical and practical application including latest trends in software development. MCA is the dynamic course designed to provide foundation for research in the core and emerging areas of the discipline.
Objective
- To lay sound foundation for conceptual understandingwith an insight into the intricacies of software and dynamic business environment.
- To provide excellent theoretical and practical exposure in the algorithm designing & optimization, programming, network & database management, mobile technologies and more.
- To guide the students for better knowledge of computer applications and develop programming skills coupled with managerial skills to help students meet the rising manpower demands of the global IT industry.
- To equip students with emotional maturity, analytical ability, cross functional capability and skills to operate effectively in multicultural global business environment.
Curriculum
Fundamental |
Year1 |
|
Semester 1 | Semester 2 | |
Database Management System | Enterprise Resource Planning | |
Object Oriented Prog with C++ | Advance Database Management System | |
Software Engineer | M.I.S & Business Intelligence | |
Operting System Concepts | Design & Analysis of Algorithm | |
Data Communication & computer Network | Data Structure Using C++ | |
Lab - Object Oriented Prog With C++ | Lab - Data Structure Using C++ |
Students to select any one elective bucket in second year from four options provided below
Year 2 |
Data
|
Full Stack
|
Data
|
Cloud
|
|
Semester 3 |
Essentials of Data Science | Introduction to Linux | Big Data Analytics | Linux Administration | |
Machine Learning concepts using Python | HTML, CSS and Javascript | Data Analytics Using Python | Introduction to Cloud Computing | ||
Big Data Hadoop | User Interface, Experience, Design | SQL for Data Analytics | Introduction to Amazon Web Services | ||
Business Application of Machine Learning | DevOps -1 (GIT, Jenkins, Docker) | Web Analytics | Introduction to Microsoft Azure services | ||
Statastic and Python in Machine Learning | Software Architecture | Digital Media Analytics | Cloud Programming | ||
Time Series Analysis and Forecasting Techniques | Prototyping | IOT and Data Analytics | Cloud Virtualization | ||
Lab - Cloud Programming | Lab - Cloud Programming | Lab - Cloud Programming | Lab - Cloud Programming | ||
Semester 4 |
Deep Learning and NLP | Web Services- Rest API, ReactJS, NodeJS Development | Data Analytics using R | Introduction to Google Cloud services | |
IOT Cloud and Watson Analytics | DevOps-2 (Ansible, Puppet, Nagios) | Data Analytics for Decision Making | Introduction to IBM Cloud Services | ||
Web, Social Analytics and Visualization | Python Programming | Data Analytics for Business | Cloud Computing for Businesses | ||
Spark on Azure HD | Version Control System | Google Analytics | Cloud Networking | ||
Basic R Programming | Software Deployment | Marketing Analytics | Cloud Security | ||
Lab - Data Analytics | Lab - Data Analytics | Lab - Data Analytics | Lab - Data Analytics | ||
Project | Project | Project | Project |
Students to select any one elective bucket in second year from four options provided below
Eligiblity
- Any Graduate with min 45% with Mathematics as a subject or possessing technical degree like B.Tech/ BE./ BCA/B.Sc - CS/ B.Sc-IT
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After graduation I was confused about which university should I pursue my MBA. I selected Gyan Vihar University, the staff is very polite and helpful, I am very much satisfied.