The B.Tech in Data Science and Cloud Computing at HRIT University is designed to address the demands of the rapidly evolving digital landscape, where data plays a pivotal role in business decision-making and cloud infrastructure enables scalable, flexible technology solutions. This program blends two critical disciplines: Data Science, which focuses on extracting actionable insights from vast datasets, and Cloud Computing, which enables on-demand access to computing resources and services.
With a curriculum that bridges theoretical knowledge and hands-on skills, this program equips students with the ability to manage, process, and analyze data, as well as design, deploy, and optimize cloud-based applications. It offers a unique learning experience where students gain proficiency in data analytics, cloud architecture, and modern computing tools. Graduates will be well-prepared to solve complex real-world problems by integrating their expertise in data science techniques with the power of cloud platforms.
This course is for individuals who are passionate about data and the endless possibilities it offers. If you are excited by the idea of building scalable applications, mining data for insights, and creating cloud infrastructures, this program is the perfect fit. If you enjoy solving complex problems, experimenting with new technologies, and working in a dynamic, forward-thinking field, this course will equip you with the tools to succeed.
Students who are looking for a career in data science, cloud computing, or technology innovation will find a world of opportunities. The ever-increasing demand for cloud and data experts means this field offers exceptional job security, career growth, and intellectual challenges. A career in this domain promises diverse opportunities, from building robust cloud infrastructures to unlocking the potential of big data across various industries.
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Programme Educational Objectives
- PEO-1: Graduates will establish themselves as skilled professionals, leveraging their expertise in Data Science and Cloud Computing to develop innovative solutions for real-world challenges.
- PEO-2: Graduates will apply their knowledge and skills to conduct impactful research and drive technological advancements in interdisciplinary areas.
- PEO-3: Through strong Industry-Academia partnerships, graduates will be highly employable and capable of becoming successful entrepreneurs in the data and cloud domains.
- PEO-4: Graduates will demonstrate professional ethics and leadership qualities while contributing to sustainable, socially responsible solutions in industry and research environments.
Programme Outcomes (POs)
- PO1: Engineering knowledge – Apply advanced mathematics, data science, and cloud computing principles to solve complex technical problems.
- PO2: Problem analysis – Formulate, investigate, and analyze problems in data management, analytics, and cloud system architecture using foundational engineering knowledge.
- PO3: Design/development of solutions – Design effective and innovative data-driven and cloud-based solutions that meet safety, societal, and environmental requirements.
- PO4: Conduct investigations – Employ research methodologies to analyze data sets, optimize algorithms, and derive meaningful insights for technological development.
- PO5: Modern tool usage – Master state-of-the-art tools for cloud computing, machine learning, big data analytics, and IT infrastructure management.
- PO6: The engineer and society – Evaluate societal, legal, and ethical issues associated with data privacy, cloud security, and data-centric applications.
- PO7: Environment and sustainability – Contribute to solutions that address the sustainability of cloud services and data practices in today’s environmental context.
- PO8: Ethics – Uphold the highest standards of professional ethics in dealing with sensitive data and cloud infrastructure management.
- PO9: Individual and teamwork – Work effectively in teams to develop and deploy integrated data science and cloud computing solutions.
- PO10: Communication – Articulate complex ideas and present data-driven solutions through well-crafted reports and presentations.
- PO11: Project management and finance – Demonstrate project management skills, ensuring efficient cloud deployments and budget-conscious data solutions.
- PO12: Lifelong learning – Commit to continuous learning in this ever-evolving field, staying updated with new trends and technologies.
Programme Specific Outcomes (PSOs)
- PSO1: Develop and innovate in data science and cloud computing domains, applying research-driven insights to societal and technological challenges.
- PSO2: Build and optimize data-driven systems that leverage cloud infrastructure, artificial intelligence, machine learning, and cybersecurity.
- PSO3: Employ best practices in software development to create scalable, efficient, and secure cloud-based applications that meet business objectives.
Graduates of a B.Tech in CSE have a wide array of career options, such as:
- Software Developer/Engineer
- Data Scientist/Analyst
- Systems Analyst
- Cybersecurity Expert
- Web Developer
- Database Administrator
- Cloud Computing Engineer
- AI/Machine Learning Engineer
- Mobile App Developer
- Network Engineer
