Programme Overview

The Bachelor of Engineering (B.E.) in Computer Science Engineering with a specialization in Data Science is designed to equip students with the skills and knowledge required to excel in the data-driven world. The curriculum integrates core computer science principles, such as programming, algorithms, and software engineering, with specialized courses in data mining, machine learning, big data analytics, and data visualization. Students gain hands-on experience through projects and lab sessions, learning to collect, process, analyze, and interpret large datasets. Emphasis is placed on practical applications, ethical considerations, and the impact of data science on society. Graduates are prepared for diverse career opportunities as data scientists, data analysts, big data engineers, and business intelligence developers. The program also provides a solid foundation for those interested in pursuing advanced studies or research in data science and related fields.

  • 4 Years

    Duration of programme

  • UG

    Level of Study

Key Highlights

Central Library
IoT & Advanced Research Lab
High-Configuration Computer Lab
Atal Incubation Centre (AIC)
Smart Classrooms

How will you benefit

Capstone Projects: Participate in capstone projects that challenge you to apply your knowledge to real-world problems, fostering critical thinking and problem-solving skills.
Advanced Laboratories: Utilise state-of-the-art laboratories and computing resources, providing hands-on experience with the latest tools and technologies in data science.
High Employability: Enter a job market with a high demand for data science professionals, ensuring numerous opportunities and competitive salaries.
Leadership Development: Develop leadership and project management skills through group projects, presentations, and collaborative learning experiences.

What will you study

Programming and Software Skills: Learning languages like Python, R, and SQL, along with tools for data analysis and visualization.

Mathematics and Statistics: Studying foundational concepts such as linear algebra, calculus, probability, and statistical methods.

Machine Learning and AI: Understanding and applying machine learning algorithms and artificial intelligence techniques.

Big Data Technologies: Gaining proficiency in tools and technologies for handling and processing large datasets, such as Hadoop and Spark.

Curriculum

  • Engineering Chemistry
  • Mathematics-I
  • Engineering Graphics
  • Basic Electrical Engineering
  • Basic Computer Engineering

CAREERS AND EMPLOYABILITY

Data Analyst
Big Data Engineer
Data Engineer
Machine Learning Engineer

ELIGIBILITY CRITERIA

12th in PCM with 45 %(40% in case of SC/ST)

3 Year diploma in any stream

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