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ADMISSION AND FEE
MSc Computer Science
Program Overview
Career Opportunities
After completion of Under Graduate and Post Graduate programmes offered by the department of computer science, the students get the world of opportunities in various categories as follows:
- IT organizations
- All Banking / Financial institutions
- IOT & its development
- Firmware development
- ITES organizations
- Mobile Applications Development
- Software / Hardware Entrepreneurship
- Teaching / Professional sector
- All Governmental positions which need Group-I examinations
- Research and Development (R & D) of IT sector
Programme USPs
- Most attractive courses with high caliber and lucrative career opportunities in data science and other trending technologies.
- A Plethora of career opportunities in various IT Sectors as well as other Government sectors throughout the globe.
- Progression to higher studies in various disciplines and Research Programmes in thrust areas.
Programme Outcomes
Upon completion of the programme, the students are expected to have acquired:
- Ability to write the programs in latest programming languages and analyzing the
algorithms of the same. - To get expertise in latest operating systems.
- To become conversant with cloud computing and network related security measures.
- To acquire data interpretation and visualization skills along with research
methodology.
Eligibility Criteria
A Pass in B.Sc. Computer Science / B.C.A. /B.Sc. Computer Technology / B.Sc. Information Technology / B.Sc. Software Systems/ B.Sc. Information Sciences / B.Sc. Information System / B.Sc. Software Systems / B.Sc. Software Sciences / B.Sc. Applied Sciences.
Programme Duration
2 YEARS (4 SEMESTERS)
Programme Type
Regular
Programme Structure
SEMESTER I
- Design and Analysis of Algorithms
- Wireless Networks
- Machine Learning
- Advanced Java Programming
- Advanced Java Programming Lab
- Modular: Module I – Course I:Advanced Excel
- Modular: Module I – Course II:Advanced Excel Lab
SEMESTER II
- Advanced Operating System
- Artificial Intelligence and Expert Systems
- Big Data Analytics
- Python Programming
- Python Programming Lab
- Modular: Module II – Course I: LaTeX
- Modular: Module II – Course II: LaTeX Lab
SEMESTER III
- Natural Language Processing
- Network Security
- Cloud Computing
- Linux Programming
- Linux Programming Lab
- Modular: Module II – Course III: I/UX Design
- Modular: Module III – Course I:UI/UX Design Lab
SEMESTER IV
- Data Visualization
- Knowledge Management
- Research Methodology
- Project
- Modular: Module III – Course II:MATLAB
- Modular: Module III – Course III:MATLAB Practicals
Credits & Evaluation
- Semester-wise/ year-wise
- Date of the last semester-end / year-end (for non-semester) examinations
- Date of declaration of results of semester-end/ year-end examinations
- Number of days taken for declaration of results for semester-end/ year-end examinations
