- About Course
- Brochure
- Structure
- Syllabus
| Duration | Intake |
|---|---|
| 4 Years | 60 |
The department boasts state-of-the-art laboratories, the latest computer systems, open-source software, and modern digital teaching tools. The faculty consists of a mix of highly qualified, experienced, dynamic, and young professionals. The program focuses on various DSE tracks, including Software Engineering, Database Engineering, Networking, AI & ML, and Block chain Technology. This field offers numerous job opportunities, high salary packages, entrepreneurship development, and higher education prospects. Graduates can pursue careers as database administrators, network managers, data analysts, software developers, and more.
Vision
To develop highly skilled data science professionals with advanced capabilities in technology, research and social awareness empowering them to take leadership roles on a global scale.
Mission
- To provide a rigorous, industry-aligned curriculum that blends theoretical foundations with practical applications in data science and engineering.
- To foster a culture of innovation and ethical responsibility through cutting-edge research projects and real-world problem-solving experiences.
- To cultivate partnerships with global industry leaders and academic institutions to ensure our students are at the forefront of data science advancements.
- To empower students with the skills, knowledge, and ethical understanding needed to leverage data science for positive societal and economic impact.
