Course Overview
The Data Science program under the Computer Science & Engineering department focuses on the ever-growing field of data-driven decision-making and analytics. The curriculum covers key areas such as data mining, big data analytics, machine learning, and statistical modeling. Students work on projects that involve extracting meaningful insights from vast datasets, such as hybrid pattern mining from high-dimensional data and geo-spatial data analytics for effective asset management. Graduates from this program are equipped with the skills to solve complex, data-intensive problems across industries, from finance to healthcare and technology.
Dr. O. Obulesu
Associate Professor & Head CSE (Data Science)
Program Curriculum
Discover the pivotal moments that have shaped the institution’s growth, from its foundational years to its emergence as a leading engineering college.
Why Choose GNITS For B.Tech
Focus on Women’s Empowerment
GNITS is dedicated to advancing women's education in engineering and technology. The college offers a supportive environment that nurtures female talent, preparing students for leadership roles in the tech industry.
Innovative Research and Development
The college boasts state-of-the-art Centers of Excellence in emerging fields like AI & ML and IoT & Analytics, offering students opportunities for research, innovation, and hands-on experience with cutting-edge technologies.
Outstanding Placement Record
GNITS has a proven track record of high placement rates, with students securing positions in top-tier companies such as Microsoft, Amazon, and Goldman Sachs, ensuring excellent career opportunities right after graduation.
Outcome Based Education
- The student should be able to apply their knowledge in Mathematics, Science, Engineering as well as Computer Science along with programming skills in their Engineering education and career advancement.
- They are expected to communicate well and get ready for understanding the importance of social, business, technical and ethical aspects with which a process or product is designed.
- They should be able to excel in multidisciplinary teams, develop leadership roles and inculcate problem solving capability, design skills and other diverse career paths.
- They should be able to develop an interest in knowledge enhancement with the evolving technologies.
Engineering knowledge: To acquire firm knowledge of Mathematics, Science, Engineering & Computer Science.
Problem analysis: To identify, formulate & analyze requirements of IT Applications.
Design/development of solutions: To effectively apply engineering principles to the design of computer & IT based Systems.
Conduct investigations of complex problems: To synthesize research based knowledge in the design of programming and analysis of data for providing valid conclusions to complex problems.
Modern tool usage: To possess skills for creating and selecting modern software development tools.
The engineer and society: To apply conceptual knowledge relevant to professional engineering practices in societal, health, safety, legal and cultural issues and their
consequences.Environment and sustainability: To understand the impact of engineering solutions in social and economic environments and work towards sustainable development.
Ethics: To understand contemporary legal, social & ethical issues in computing.
Individual and team work: To effectively work as an individual and adapt to a team environment.
Communication: To communicate precisely and effectively both in oral and written in all engineering activities.
Project management and finance: To apply engineering and management principles for managing and leading economically feasible projects in multi disciplinary environments as an individual and team member.
Life-long learning: To develop confidence to engage in independent & lifelong learning in the context of Technological changes.
- The ability to develop software projects using standard practices and suitable programming environment.
To apply computer science knowledge in exploring and adopting latest technologies in different co-curricular activities.
Career Path
Discover the pivotal moments that have shaped the institution’s growth, from its foundational years to its emergence as a leading engineering college.
- Data Analyst
- Business Intelligence (BI) Developer
- Data Scientist
- Machine Learning Engineer
- Lead Data Engineer
- Principal Data Scientist
- Data Science Manager
- Head of Data Science
Our Impeccable Faculty
Discover the pivotal moments that have shaped the institution’s growth, from its foundational years to its emergence as a leading engineering college.
Infrastructure
Achievements and Extras
GNITS excels in academics, top placements, and pioneering research, with students and faculty earning national and international recognition. Vibrant extracurriculars further enrich campus life.