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Pune, Maharashtra, India

Duration

4 Years

Computer Applications

Scope Global Skills University Bhopal
Duration
4 Years
Computer Applications UG OFFLINE

Duration

4 Years

Computer Applications

Scope Global Skills University Bhopal
Duration
Apply

Fees

₹12,00,000

Placement

92.0%

Avg Package

₹7,50,000

Highest Package

₹18,00,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
Computer Applications
UG
OFFLINE

Fees

₹12,00,000

Placement

92.0%

Avg Package

₹7,50,000

Highest Package

₹18,00,000

Seats

600

Students

2,400

ApplyCollege

Seats

600

Students

2,400

Curriculum

Comprehensive Course Structure

The Computer Applications program at Scope Global Skills University Bhopal is structured over 8 semesters to provide a comprehensive and progressive learning experience. The curriculum is designed to build foundational knowledge in the first two years, deepen understanding in the third year, and culminate in advanced specialization and practical application in the final year.

First Year Courses

The first year focuses on building a strong foundation in mathematics, physics, and basic computer science concepts. Students are introduced to programming fundamentals, data structures, and algorithmic thinking through a combination of lectures, laboratory sessions, and project-based learning.

Second Year Courses

During the second year, students delve deeper into core computer science subjects such as database management systems, operating systems, computer networks, and software engineering principles. The curriculum emphasizes both theoretical understanding and practical application, with students working on hands-on projects that simulate real-world scenarios.

Third Year Courses

The third year is dedicated to advanced topics and specialization. Students can choose from various elective courses that align with their interests and career goals. The university offers a wide range of specializations, including artificial intelligence, cybersecurity, data science, cloud computing, and mobile application development.

Fourth Year Courses

The final year of the program is characterized by the capstone project, which is a comprehensive, multi-disciplinary endeavor that integrates all the knowledge and skills acquired throughout the program. Students work on a substantial project that addresses a real-world problem or develops a novel solution.

SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
1CS101Engineering Mathematics I3-1-0-4None
1CS102Physics for Computer Applications3-1-0-4None
1CS103Introduction to Programming3-0-2-4None
1CS104Computer Fundamentals3-0-2-4None
1CS105English for Communication3-0-0-3None
1CS106Workshop on Programming0-0-4-2CS103
2CS201Engineering Mathematics II3-1-0-4CS101
2CS202Chemistry for Computer Applications3-1-0-4None
2CS203Data Structures and Algorithms3-1-0-4CS103
2CS204Object Oriented Programming3-0-2-4CS103
2CS205Computer Organization and Architecture3-1-0-4CS104
2CS206Workshop on Data Structures0-0-4-2CS203
3CS301Database Management Systems3-1-0-4CS203
3CS302Operating Systems3-1-0-4CS205
3CS303Computer Networks3-1-0-4CS205
3CS304Software Engineering3-1-0-4CS204
3CS305Discrete Mathematics3-1-0-4CS101
3CS306Workshop on Software Engineering0-0-4-2CS304
4CS401Design and Analysis of Algorithms3-1-0-4CS203
4CS402Web Technologies3-1-0-4CS204
4CS403Mobile Application Development3-1-0-4CS204
4CS404Human Computer Interaction3-1-0-4CS204
4CS405Computer Graphics3-1-0-4CS203
4CS406Workshop on Web Technologies0-0-4-2CS402
5CS501Artificial Intelligence3-1-0-4CS301
5CS502Machine Learning3-1-0-4CS301
5CS503Cybersecurity3-1-0-4CS303
5CS504Data Science3-1-0-4CS301
5CS505Cloud Computing3-1-0-4CS302
5CS506Workshop on AI0-0-4-2CS501
6CS601Advanced Database Systems3-1-0-4CS301
6CS602Distributed Systems3-1-0-4CS302
6CS603Internet of Things3-1-0-4CS303
6CS604Embedded Systems3-1-0-4CS205
6CS605Computer Vision3-1-0-4CS501
6CS606Workshop on IoT0-0-4-2CS603
7CS701Research Methodology3-0-0-3CS301
7CS702Capstone Project I0-0-6-6CS501
7CS703Project Management3-1-0-4CS304
7CS704Special Topics in Computer Applications3-1-0-4CS501
7CS705Internship0-0-0-12CS601
7CS706Workshop on Capstone Project0-0-4-2CS702
8CS801Capstone Project II0-0-6-6CS702
8CS802Advanced Topics in Computer Applications3-1-0-4CS704
8CS803Professional Ethics3-0-0-3None
8CS804Entrepreneurship3-0-0-3None
8CS805Final Project Presentation0-0-4-2CS801
8CS806Workshop on Final Project0-0-4-2CS801

Advanced Departmental Elective Courses

The department offers a wide range of advanced departmental elective courses that allow students to specialize in specific areas of interest and develop expertise in cutting-edge technologies. These courses are designed to provide students with in-depth knowledge and practical skills that are highly valued in the industry.

Artificial Intelligence and Machine Learning

This course provides students with a comprehensive understanding of artificial intelligence concepts and machine learning algorithms. Students learn about neural networks, deep learning, natural language processing, and computer vision. The course emphasizes both theoretical foundations and practical implementation, with students working on real-world projects using frameworks such as TensorFlow and PyTorch. The learning objectives include developing skills in algorithm design, data analysis, and model evaluation. Students will be able to build and deploy AI applications that solve complex problems in various domains.

Cybersecurity and Network Security

This course covers the fundamental principles of cybersecurity and network security. Students study topics such as cryptography, network security protocols, ethical hacking, and security management. The course includes hands-on laboratory sessions where students practice security assessment techniques and learn to defend against various cyber threats. The learning objectives include understanding security vulnerabilities, implementing security measures, and developing skills in penetration testing and security auditing. Students will be able to design and implement secure systems that protect against cyber attacks.

Data Science and Big Data Analytics

This course focuses on the techniques and tools used in data science and big data analytics. Students learn about data mining, statistical analysis, predictive modeling, and data visualization. The course emphasizes practical application through projects that involve real-world datasets. The learning objectives include developing skills in data analysis, statistical modeling, and data interpretation. Students will be able to extract insights from large datasets and communicate findings effectively to stakeholders.

Cloud Computing and Distributed Systems

This course provides students with knowledge of cloud computing architectures and distributed systems. Students study topics such as cloud architecture, virtualization, containerization, and microservices. The course includes hands-on experience with cloud platforms such as AWS, Azure, and Google Cloud. The learning objectives include understanding cloud computing concepts, designing scalable systems, and implementing distributed applications. Students will be able to develop and deploy applications in cloud environments.

Mobile Application Development

This course focuses on the development of mobile applications for various platforms. Students learn about mobile UI/UX design, mobile development frameworks, and mobile security. The course emphasizes practical development skills through hands-on projects. The learning objectives include developing skills in mobile application design, implementing mobile features, and testing mobile applications. Students will be able to create innovative mobile applications for various domains.

Software Engineering and Systems Design

This course covers the principles and practices of software engineering and systems design. Students study topics such as software architecture, software testing, and project management. The course emphasizes practical application through real-world projects that simulate industry scenarios. The learning objectives include understanding software development lifecycle, designing scalable systems, and managing software projects effectively. Students will be able to develop high-quality software solutions and manage software development projects.

Human-Computer Interaction and User Experience

This course focuses on the design and evaluation of interactive systems for human users. Students study topics such as user interface design, usability testing, and user experience research. The course includes hands-on experience with design tools and user research methods. The learning objectives include developing skills in user-centered design, conducting usability studies, and evaluating interactive systems. Students will be able to design and prototype interactive systems that provide excellent user experiences.

Internet of Things (IoT) and Embedded Systems

This course provides students with knowledge of IoT and embedded systems. Students study topics such as sensor networks, embedded programming, and IoT security. The course includes hands-on experience with IoT development platforms and embedded systems. The learning objectives include understanding IoT architectures, developing embedded applications, and implementing IoT solutions. Students will be able to design and develop IoT systems that connect and communicate with various devices.

Computer Graphics and Visualization

This course focuses on the creation and manipulation of digital images and visual content. Students study topics such as 3D modeling, animation, and computer graphics algorithms. The course emphasizes practical application through projects that involve creating interactive 3D applications. The learning objectives include developing skills in 3D modeling, animation, and computer graphics programming. Students will be able to create compelling visual experiences for various applications.

Database Systems and Information Retrieval

This course covers the design and implementation of database systems and information retrieval techniques. Students study topics such as database design, query optimization, and information retrieval algorithms. The course includes hands-on experience with database management systems and information retrieval tools. The learning objectives include understanding database concepts, designing efficient databases, and implementing information retrieval systems. Students will be able to develop and manage database systems and information retrieval solutions.

Project-Based Learning Philosophy

The department's philosophy on project-based learning is rooted in the belief that practical experience is essential for developing competent and confident professionals. This approach emphasizes hands-on learning, collaboration, and real-world problem-solving skills. The project-based learning framework is integrated throughout the curriculum, with students engaging in both individual and group projects that mirror industry challenges.

Mini-Projects

Mini-projects are undertaken in the third and fourth years of the program, providing students with opportunities to apply theoretical knowledge to practical problems. These projects are typically completed within a semester and are designed to be manageable yet challenging. The projects are supervised by faculty members and are evaluated based on technical merit, innovation, and presentation skills. The mini-projects help students develop critical thinking skills and prepare them for more substantial capstone projects.

Final-Year Thesis/Capstone Project

The final-year capstone project is a comprehensive, multi-disciplinary endeavor that integrates all the knowledge and skills acquired throughout the program. Students work on a substantial project that addresses a real-world problem or develops a novel solution. The capstone project is typically undertaken in collaboration with industry partners, ensuring that the work is relevant and has practical implications. Students are required to select their projects and mentors based on their interests and career goals. The project is evaluated by a committee of faculty members and industry professionals, with emphasis on innovation, technical excellence, and practical impact.

Project Selection and Mentorship

Students have the opportunity to select their projects and mentors based on their interests and career aspirations. The department provides a list of potential project topics and faculty mentors, but students are encouraged to propose their own ideas. The project selection process involves discussions with faculty members to ensure that the chosen project is feasible and aligns with the student's interests. Faculty mentors provide guidance and support throughout the project development process, helping students navigate challenges and develop their skills.