The field of Computer Science has excellent employment potential in the present explosion of technological development. The Department is offering 2 years Master of Computer Applications (MCA) programme with Choice Based Credit System in semester pattern. The Department is also offering Ph.D./M.Phil. Research programme on Full-time time and Part-time basis. The Department is providing training in all branches of Computer Science to meet the requirements of industry needs. The Department of Computer Science has an e-Class room, APSSDC Employability Skill Center, Digital Class Room and a Computer lab with high configured systems connected through LAN facility and latest Software.

In MCA III semester, Internship/Mini project is introduced to train the students in project development. In MCA VI semester, the students are deputed to external organizations for Major project work to get the exposure of the industrial needs and to enhance the project development skills. Campus interviews are conducted by many reputed organizations like TCS, Infosys, Mahindra, Wipro, Capgemini etc. to provide the job opportunities for the students.

 
Year of Establishment 1983 with PGDCA
MCA Course 1987
Research Programme (Ph.D./M.Phil.) 1998
Vision :

To achieve excellent standards of quality education by keeping pace with rapidly changing technologies and create manpower of global standards with capabilities of accepting new challenges

Mission :
  • To offer high-grade, value-based Post-graduate and Doctoral programmes in the field of Computer Science & Applications.
  • To bridge the gap between industry and academia by framing curricula and syllabi based on industrial and societal needs.
  • To offer tasks for experimental technology-intensive knowledge through collaborative and interdisciplinary activities.
  • To provide appropriate platforms in support of innovative talents, practice ethical values and inculcate as enduring learners.
Programmes
Programme Name Duration Regular Seats Self-Finance
Master of Computer applications 2 Years
(4 Semesters)
44 66

Eligibility : Eligibility: Admissions are made through Integrated Common Entrance Test (ICET) conducted by A.P. State Council of Higher Education, Hyderabad.

Programme Content

Value-added Courses:
  • Communicative English (1 st Semester)
  • Life Skill Education (1 st Semester)
  • Soft-Skill Education (1 st Semester)
  • Foundation Course in Computer Applications (2 nd Semester)
Core Subjects :

Computer Organization & Architecture, Programming in C++, Data Structures & Algorithms, Operating System, Principles of Management & Professional Communication, Principles of Probability & Statistics, Core Java, Data Communications and Computer Networks, Relational Database Management Systems, Software Engineering, Artificial Intelligence & Machine Learning, Advanced Java & Web Technologies, Computer Graphics, Cloud Computing & Technologies.

Elective Subjects :

Mobile Devices Application Development, Software Testing Methodologies, Design and Analysis of Algorithms, Linux Programming, Cryptography & Network Security, Distributed Systems, Internet of Things, Web Commerce, Multi Media Systems and Applications, Optimization Techniques, Cyber Security, Data Analytics, Software Production Management, Programming in Dot Net Technologies, Bioinformatics, Neuro Fuzzy and Genetic Algorithms, Digital Image Processing, Innovation and Entrepreneurship, Python & R Programming, Block Chain Technology.

External Electives :
  • Web Designing
  • C Programming
  • Python Programming
Research Programmes

The Department is actively involved in the Research Programmes on various thrust areas. The Ph.D. Research Programme is offered by the Department on Full-time and Part-time basis by following the UGC guidelines.

Key Areas of Research

Artificial Intelligence, Bigdata Analytics, Internet of Things, Block Chain Technology, Cloud Computing, Machine Learning, Data Science, Data Mining, Deep Learning, Soft Computing, Neural Networks, Image Processing, Pattern Recognition, Bio-Computing, Bio Informatics, GIS & Remote Sensing.