The Bachelor of Technology (B.Tech.) in Computer Science & Engineering (Data Science) is a specialized undergraduate program designed to prepare students for the rapidly evolving world of data-driven technologies. This program combines the core principles of computer science with advanced concepts of data analytics, machine learning, artificial intelligence, big data, and statistical modeling. As organizations across industries increasingly rely on data to make strategic decisions, the demand for skilled data science professionals continues to grow globally.
The curriculum is carefully designed to provide students with a strong foundation in programming, algorithms, database management systems, cloud computing, and software engineering while introducing specialized subjects such as data mining, predictive analytics, machine learning, deep learning, data visualization, and business intelligence. Students gain hands-on experience through practical laboratories, industry projects, internships, and research activities that help them solve real-world challenges using data-driven approaches.
Graduates of the program can pursue rewarding careers as Data Scientists, Machine Learning Engineers, Data Analysts, AI Specialists, Business Intelligence Developers, Data Engineers, Software Developers, and Research Associates. The program also provides a strong academic foundation for higher studies and research in emerging fields of computer science and data science.
Vision
To be a center of excellence in Computer Science & Engineering (Data Science) education by fostering innovation, research, and technological advancement to create competent professionals capable of addressing global challenges through data-driven solutions.
Mission
Program Objectives
1. To provide students with a strong foundation in computer science principles, programming, and software development.
2. To develop expertise in data collection, processing, analysis, and interpretation for informed decision-making.
3. To equip students with knowledge of machine learning, artificial intelligence, and big data technologies.
4. To enhance problem-solving, analytical thinking, and innovation skills through practical applications.
5. To prepare graduates for successful careers, entrepreneurship, higher education, and research in data science and related domains.
Program Outcomes
1. Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2. Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations. Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
3. Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
4. 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.
5. Apply the fundamentals of mathematics, science and engineering knowledge to understand, analyze and develop computer programs in the areas related to algorithms, multimedia, big data analytics, machine learning, artificial intelligence and networking for efficient design of computer-based systems of varying complexity.
6. Apply appropriate techniques and modern engineering hardware and software tools for the design and integration of computer system and related technologies, to engage in lifelong learning for the advancement of technology and its adaptation in multi-disciplinary environments.
