MCA Department

About Department

The Department of Master of Computer Applications at Aravali Institute of Technical Studies was established in year 2013 and is committed to shaping the future of aspiring technocrats and IT professionals. Affiliated with Rajasthan Technical University (RTU), Kota, our MCA program is designed to offer a robust blend of theoretical knowledge and practical skills, aligning with the latest industry demands.

We aim to empower students with strong fundamentals in computer science, advanced programming, software development, data analytics, and emerging technologies. Our curriculum focuses on real-world applications, project-based learning, and industry integration to ensure students are job-ready upon graduation.

Department Vision

To promote an academic and research environment conducive for innovation centric technical education.

Department Misson

• Provide foundations and advanced technical education in both theoretical and applied computer applications in line with industry demands
• Create highly skilled computer professionals capable of designing and innovating real life solutions
• Sustain and academic environment conductive to research and teaching focused to generate up skilled professionals with ethical values.

Key Highlights of our MCA Program:

• Comprehensive Curriculum: Covers subjects like Data Structures, Object-Oriented Programming, Web Technologies, Mobile App Development, AI & Machine Learning, and Cloud Computing.
• Industry-Relevant Training: Regular workshops, seminars, and guest lectures by industry professionals.
• State-of-the-Art Labs: Well-equipped computer labs with high-speed internet and licensed software.
• Live Projects & Internships: Strong focus on hands-on experience through real-time projects and internships with leading IT firms.
• Placement Support: Dedicated placement cell with consistent recruitment from reputed companies.
• Soft Skills & Personality Development: Special sessions to prepare students for interviews and professional communication.

Program Educational Objectives (PEOs)

PEO-1: Be successfully employed in computing profession as well as multi-disciplinary domains in supportive and leadership roles.

PEO-2: Participate in life long landing through the successful completion of advanced degrees continuing education, certification and other professional developments.

PEO-3: Promote design, research product implementation and services in the field of Computer Science and applications through strong technical communication and entrepreneurial skills.

Program Outcomes (POs)

POs are statements that describe what students are expected to know and be able to do upon graduating from the program. These relate to the skills, knowledge, analytical ability attitude and behavior that students acquire through the program. The POs essentially indicate what the students can do from subject-wise knowledge acquired by them during the program.

1. Computational Knowledge:Apply the knowledge of mathematics, fundamentals of computing, and fundamentals of machine learning to solve software development problems.
2. Problem analysis:Identify, formulate, review and analyse computing processes and arrive at substantial conclusions using principles of mathematics, and computing sciences.
3. Design/development of solutions:Design and evaluate solutions for complex computing problems, along with their components, and processes that meet the requirements with appropriate consideration of public health and safety measures.
4. Conduct investigations of complex problems:Use research-based knowledge and research methods including design of experiments, analysis, and interpretation of data, and synthesis of the information to provide valid conclusions.
5. Modern tool usage:Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling for the computational problem with an understanding of its limitations.
6. Environment and sustainability:Understand the impact of developing a solution for a computational problem in societal and environmental contexts and demonstrate the knowledge context of the sustainable development environment.
7. Ethics:Apply ethical principles and commit to professional ethics and responsibilities and norms of professional computing practice.
8. Individual and teamwork:Function effectively as an individual, and as a member or leader in diverse teams, and multidisciplinary settings.
9. Communication:Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
10. Project management and finance:Demonstrate knowledge and understanding of the computing and management principles and apply these to one’s work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
11. Life-long learning:Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
12. Innovation and Entrepreneurship:Identify a timely opportunity and using innovation to pursue that opportunity to create value and wealth for the betterment of the individual and society at large.

Program Specific Outcomes (PSO’s)

PSO 1: Apply knowledge to analyze, design, develop computing solutions by employing modern computer language and platforms that can solve complex problems.

PSO 2: Anticipate the changing direction of computational technology evaluate it and communicate the likely utility of that for building of software systems that would perform task related to Industry Research and Education.

PSO 3: Inculcate the knowledge of Engineering and Management principles to manage projects effectively and create innovative career paths.

Laboratories

The Department of Master of Computer Applications at Aravali Institute of Technical Studies, Udaipur, is equipped with state-of-the-art laboratories designed to provide students with the best possible practical learning environment. Our labs are tailored to support the diverse needs of MCA students, as per the latest RTU syllabus, and to foster innovation and industry readiness.

Key Features of Our Labs:

• High-Performance Computers: All labs are equipped with the latest Intel i5/i7 processors, high-speed SSD storage, and 8–16 GB RAM, ensuring smooth execution of development tools and software.
• Licensed Software: Access to industry-standard tools such as Oracle, SQL Developer, NetBeans, Eclipse, Android Studio, Anaconda, Visual Studio, and more.
• High-Speed Internet & Wi-Fi: All labs are connected through a dedicated high-speed internet line with Wi-Fi access across the department.
• Fully Furnished & Air-Conditioned Spaces: Our computer labs are ergonomically designed, air-conditioned, and well-lit to provide a comfortable working atmosphere.
• Smart Projectors & Interactive Boards: For live demonstrations, workshops, and smart teaching practices.
• Power Backup & Security: All labs are supported by UPS and generator systems for uninterrupted power supply and are under CCTV surveillance for safety.
• Hands-on Support: Each lab is maintained by qualified technical staffand experienced faculty, offering guidance during lab sessions, projects, and assignments.

To know more about the hands-on learning and practical exposure provided in each subject, please go through the detailed lab practical’s mentioned below.

Object Oriented Programming Lab (MCA-151)

This lab introduces the fundamentals of Object-Oriented Programming using C++. Students learn to create and manage classes and objects, use constructors and destructors, handle function and operator overloading, and apply concepts like inheritance and polymorphism. The lab enables students to design reusable and modular code.

Tools Used: Turbo C++
Outcomes: Mastery of OOP principles and efficient program design.

SQL and PL/SQL Lab (MCA-152)

Students practice creating and managing relational databases. Exercises include SQL queries, data manipulation, joins, views, stored procedures, triggers, and cursors using PL/SQL. The lab strengthens understanding of database concepts and application-level data handling.

Tools Used: Oracle, MySQL, SQL Developer
Outcomes: Proficiency in backend database development.

Web Technologies Lab (MCA-153)

This lab equips students with skills to design and develop static and dynamic websites. Topics include HTML, CSS, JavaScript, and basic PHP. Students also learn web hosting fundamentals and work on mini-projects.

Tools Used: Visual Studio Code, XAMPP
Outcomes: Ability to build responsive web pages and user interfaces.

Data Structures Lab (MCA-251)

This lab focuses on implementation of key data structures such as arrays, linked lists, stacks, queues, trees, and graphs. It helps students understand the practical aspects of memory management, algorithm efficiency, and recursion.

Tools Used: C/C++
Outcomes: Strong foundational skills in efficient data storage and manipulation.

Java Technologies Lab (MCA-252)

Students learn object-oriented programming using Java. The lab includes exception handling, file I/O, multithreading, and GUI design using AWT/Swing. Students also get introduced to applets and packages.

Tools Used: NetBeans, Eclipse, JDK
Outcomes: Ability to develop standalone applications in Java.

Python Programming Lab (MCA-253)

This lab emphasizes Python basics, including syntax, data structures, functions, and file operations. Advanced topics include libraries like NumPy and Pandas for data manipulation.

Tools Used: Anaconda, Python IDLE
Outcomes: Versatile scripting and data analysis skills.

ADA Lab (MCA-351)

This lab provides implementation experience for various algorithm design strategies such as divide-and-conquer, greedy methods, dynamic programming, backtracking, and branch & bound.

Major Exercises: Sorting algorithms, Dijkstra’s, TSP, Graph coloring, Knapsack problem.
Tools Used: C/C++ or Java
Outcomes: Analytical thinking and optimization through coding algorithms.

Mobile Application Development Lab (MCA-352)

Students build real Android applications using Java or Kotlin. Concepts covered include UI design, layouts, activities, fragments, location services, notifications, and SQLite.
Mini Project: A complete mobile app using real-world features.
Tools Used: Android Studio, Kotlin, SQLite
Outcomes: Competence in developing native mobile applications.

MCA Syllabus

 MCA First Year

View

MCA Second Year

View

Academic Calendar

MCA (Odd Semester)

MCA (Even Semester)

Training & Placement

Job Oriented Training @ Aravali

As our commitment towards the industry, we strive to set a very high standard for ourselves. We are adopting globally relevant best practices to create a strong pipeline of future student leaders, who build on passed successes:

Mou With Industry

• MOU with London Business School
• MOU with IATC SIEMENS
• MOU with FUSION
• MOU with PURPLE LEAP
• MOU with Brainwave
• MOU with CAD/CAM
• MOU with MSME
• MOU with RED HAT

We continuously provide hands on training in following areas through our training partners:

Python, Full Stack Development, Language Based Trainings – C, C++, SQL, Ruby, Java Scripts

Placement