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B. Voc.
Software Development & System Administration with Big Data Analytics
The Bachelor of Vocation (B.Voc) in Software Development & System Administration with Big Data Analytics is an advanced undergraduate program designed to equip students with the skills needed to excel in software development, system administration, and big data analytics. This interdisciplinary program combines expertise in software engineering, IT infrastructure management, and data analytics, preparing students for careers in fields such as software development, system administration, data analysis, and more. The curriculum covers a wide range of topics, including programming, database management, system administration, big data technologies, and analytics techniques.
The curriculum is designed to cover core concepts in software development, system administration, and big data analytics, along with specialized training in big data technologies. It includes foundational courses, advanced topics in software engineering and system administration, and specialized big data analytics subjects.
- Introduction to Computer Science: Fundamentals of computer systems, history, and applications.
- Programming Fundamentals: Basics of programming languages such as Python, Java, and C++.
- Data Structures and Algorithms: Essential concepts and techniques for organizing and processing data efficiently.
- Database Management Systems: Concepts of databases, SQL, NoSQL databases, and database design.
- Operating Systems: Principles of operating systems, process management, memory management, and file systems.
- Software Engineering: Software development life cycle, methodologies, project management, and quality assurance.
- Computer Networks: Networking principles, protocols, network security, and administration.
- Web Development: HTML, CSS, JavaScript, front-end and back-end development, frameworks like Angular and React.
- Object-Oriented Programming: Advanced programming concepts using languages like Java or C.
- Introduction to Computer Science: Fundamentals of computer systems, history, and applications.
- Programming Fundamentals: Basics of programming languages such as Python, Java, and C++.
- Data Structures and Algorithms: Essential concepts and techniques for organizing and processing data efficiently.
- Database Management Systems: Concepts of databases, SQL, NoSQL databases, and database design.
- Operating Systems: Principles of operating systems, process management, memory management, and file systems.
- Software Engineering: Software development life cycle, methodologies, project management, and quality assurance.
- Computer Networks: Networking principles, protocols, network security, and administration.
- Web Development: HTML, CSS, JavaScript, front-end and back-end development, frameworks like Angular and React.
- Object-Oriented Programming: Advanced programming concepts using languages like Java or C.
- Introduction to System Administration: Basics of system administration, including operating system setup, configuration, and maintenance.
- Network Administration: Managing network infrastructure, including routers, switches, and firewalls.
- Cloud Computing: Understanding cloud platforms like AWS, Azure, and Google Cloud for scalable software deployment.
- Software Development Tools: Using IDEs, version control systems, and software development methodologies.
- Scripting Languages: Scripting for automation using languages like Bash, PowerShell, or Python.
- Introduction to Big Data: Fundamentals of big data technologies, including Hadoop, Spark, and NoSQL databases.
- Data Analytics: Techniques for analyzing large datasets, including data mining, machine learning, and statistical analysis.
- Data Visualization: Presenting and interpreting data visually using tools like Tableau or Matplotlib.
- Big Data Processing: Processing and managing large volumes of data using distributed computing frameworks like Hadoop and Spark.
- Big Data Applications: Applying big data analytics techniques to solve real-world problems in various domains.
- System Administrator: Managing IT infrastructure, including servers, networks, and operating systems.
- Big Data Analyst: Analyzing large datasets to extract insights and drive decision-making.
- Data Engineer: Building and maintaining big data infrastructure and pipelines for data processing.
- Cloud Engineer: Deploying and managing big data analytics solutions on cloud platforms.
- Machine Learning Engineer: Building and deploying machine learning models for data analysis.
- Data Scientist: Applying statistical and machine learning techniques to solve complex problems.
- IT Consultant: Advising organizations on software development, system administration, and big data analytics implementation.
- Project Manager: Overseeing software development, system administration, and big data analytics projects.
The B.Voc in Software Development & System Administration with Big Data Analytics is a comprehensive program that prepares students for careers at the intersection of software development, system administration, and big data analytics. With a focus on practical skills and real-world experience, graduates are well-equipped to meet the demands of the evolving technology landscape. This program opens doors to diverse career opportunities in software engineering, system administration, data analysis, and more, providing a solid foundation for success in the dynamic field of technology.
