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, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
- PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
- PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
- PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).
- PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
- PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).
- PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
- PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
- PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
- PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
- PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)
