The Computer Science and Engineering (CSE) with a specialization in Data Science is a forward-looking undergraduate program designed to meet the growing demand for data-driven decision-making in industry, research, and innovation. This interdisciplinary program integrates the foundational concepts of computer science and engineering with advanced statistical analysis and data science techniques to derive actionable insights from large and complex datasets.
As the world becomes increasingly data-centric, this program equips students with the knowledge and practical skills required to solve real-world problems using data. From building intelligent systems to uncovering patterns in data, students learn to design and implement computational solutions that drive innovation across industries.
Key Components of the Program:
- Core Computer Science & Engineering Fundamentals: Programming, data structures, algorithms, operating systems, database management, and computer networks.
- Mathematics and Statistics: Linear algebra, probability, statistical inference, and optimization techniques that form the foundation of data science.
- Machine Learning and Artificial Intelligence: Supervised and unsupervised learning, neural networks, deep learning, and AI-driven predictive modeling.
- Big Data and Cloud Technologies: Tools and platforms for handling high-volume, high-velocity, and high-variety data, including Hadoop, Spark, and cloud-based systems.
- Data Visualization and Analytics: Techniques to transform data into interactive visual narratives using modern visualization tools and dashboards.
Career Prospects
Graduates of this program are well-positioned to pursue careers in high-demand roles such as:
- Data Scientist
- Machine Learning Engineer
- Business Intelligence Analyst
- Data Engineer
- AI Solutions Architect
- Big Data Analyst
With data science being a crucial driver across domains including healthcare, finance, e-commerce, social media, and cybersecurity, this program opens up vast and dynamic career opportunities both in India and globally.
This specialization is ideal for students who are curious about data, passionate about technology, and eager to create impact through innovation. The program nurtures analytical thinking, programming expertise, and research skills, preparing students to become industry-ready professionals and future technology leaders.
- PO1: Engineering Knowledge: Apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
- PO2: Problem Analysis: Identify, formulate, research literature and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
- PO3: Design/ Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal and environmental considerations.
- PO4: Conduct investigations of complex: Problems using research-based knowledge and research methods including design of experiments, analysis and interpretation of data and synthesis of information to provide valid conclusions.
- PO5: Modern Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering and IT tools including prediction and modeling to complex engineering activities with an under- standing of the limitations.
- PO6: The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.
- PO7: Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.
- PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
- PO9: Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.
- PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations and give and receive clear instructions.
- PO11: Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and apply these to owners own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
- PO12: Life-long Learning: Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
