The Master of Computer Applications (MCA) Department at Viswam Engineering
College, Madanapalle, established in the academic year 2024–25, offers a two-year full-time
postgraduate program designed to equip students with advanced knowledge and skills in
computer applications, artificial intelligence, data science, and emerging technologies. the
department focuses on academic excellence, research, and industry-oriented learning,
supported by highly qualified faculty, state-of-the-art laboratories, a digital library, and Wi-
Fi-enabled infrastructure. Accredited with an A grade by NAAC, approved by AICTE, and
affiliated to JNTUA, Anantapur, the institution ensures quality education combined with
practical exposure through workshops, webinars and industry collaborations. The department
also emphasizes student development through technical clubs, research initiatives and
placement training, preparing graduates to meet the dynamic demands of the IT industry and
contribute to innovation in next-generation computing.

Vision: Empowering the minds through innovative technology, fostering research excellence, and
nurturing the global leaders in Computer Applications. 
Mission: 

• M1: To provide a comprehensive education in computer applications that equips students
  with the skills and knowledge needed to excel in the dynamic tech industry.
• M2: To promote cutting-edge research and innovation, encouraging students and faculty to
  explore new frontiers in computer science and applications.
• M3: To foster a collaborative and inclusive environment that supports continuous learning,
  professional growth, and the development of ethical technology leaders.

Dr. M. Jayakameswaraiah is a Professor and Head of the Department of MCA at Viswam Engineering College (UGC-Autonomous). He holds MCA, M.Tech., and Ph.D. qualifications and has 14 years of teaching experience and 10+ years of research experience.

He has published multiple research papers in reputed journals and has participated in numerous national and international conferences. Currently leading the Department of MCA, he is actively involved in academic development and guiding departmental initiatives in Artificial Intelligence, Data Science, and Industry-Oriented Learning.

His areas of teaching and research interest include Data Structures and Algorithms, Data Mining, Cloud Computing, Internet of Things (IoT), Artificial Intelligence, and Data Science.

Areas of Expertise: Data Structures and Algorithms, Data Mining, Cloud Computing, IoT, Artificial Intelligence, Data Science
Email: drjayakameswaraiah@gmail.com
Phone: 9441653580

Program Educational Objectives (PEO’s)

• PEO 1: Professional Excellence Graduates will excel in the computing profession by applying their strong foundation in computer science and applications to develop real-time software solutions in various domains.
• PEO 2: Lifelong Learning and Research
  Graduates will engage in continuous learning through higher studies, certifications, or research to
  keep pace with emerging technologies and contribute effectively to academic and professional advancements.
• PEO 3: Leadership and Entrepreneurship
  Graduates will demonstrate leadership qualities, communication skills and ethical values while
  working as team members or entrepreneurs in diverse environments.
• PEO 4: Social responsibility and Ethics Graduates will contribute to society by applying their technical skills responsibly, adhering to professional ethics and being sensitive to environmental and societal issues.
• PEO 5: Global Competency
  Graduates will be able to compete globally by adapting to multicultural work environments and
  functioning effectively as professionals in the global IT industry.

Program Outcomes (PO’s)

• Apply computing and mathematical knowledge in the development of software applications.
• Identify, design and solve complex computing problems.
• Function effectively in teams and multidisciplinary environments.
• Communicate effectively in both technical and non-technical domains.
• Understand professional ethics and societal responsibilities.

Program Specific Outcomes (PSO’s)

PSO 1: Software Development and Application Design
Apply programming concepts, algorithms and software engineering principles to design,
develop, test and maintain high-quality software solutions for real-world problems across
various domains.

PSO 2: Data Management and Analysis Utilize modern tools and techniques for data modelling, database design, data mining and
analytics to manage and extract insights from structured and unstructured data.

PSO 3: Emerging Technologies and Innovation Adapt and apply contemporary technologies such as Artificial Intelligence, Cloud
Computing, Internet of Things (IoT) and Cybersecurity to create innovative solutions and
services.

Guest Lectures: Cloud Computing Technologies and Applications for the Real World

Workshops: Visual Effects in Photoshop 7.0