B.Tech. Computer Science & Engineering (Specialisation in Data Science)

About the Programme

The B.Tech. in Computer Science & Engineering with a Specialisation in Data Science at Mody University of Science and Technology is a four-year undergraduate programme that prepares students to harness the power of data in solving complex business and scientific problems. Data Science has emerged as one of the most in-demand disciplines in the modern economy, and this programme is designed to build expertise in machine learning, statistical analysis, data visualisation, and big data technologies.

As one of the premier engineering universities in Rajasthan, Mody University delivers this B.Tech. Computer Science programme through a curriculum that balances theoretical foundations with applied data science projects. Students learn to work with tools such as Python, TensorFlow, and Tableau, and engage with real datasets to develop problem-solving capabilities. For women aspiring to leadership roles in data-driven industries, Mody University provides the ideal launchpad.

Eligibility Criteria

  • Candidates must have passed Class 12 (10+2) with Physics, Chemistry, and Mathematics from a recognised board.
  • A minimum aggregate of 50% marks is required.
  • JEE Mains or equivalent state entrance examination qualification is required.
  • Proficiency in English is required.

Why Choose Mody University

  • High-Demand Specialisation: Data Science professionals are among the highest-paid in the technology sector, making this specialisation an excellent career investment.
  • Practical Projects: Students work on real-world data science projects involving industries such as finance, healthcare, and e-commerce.
  • Tech. Computer Science at a Recognised University: Mody University is a UGC-recognised private university in Rajasthan with a strong track record in engineering education.
  • Modern Computing Infrastructure: The University's technology labs are equipped with high-performance computing resources for data-intensive tasks.
  • Placement Excellence: Graduates have been placed with leading data-driven organisations across sectors.

Career Opportunities

  • Data Scientist
  • Machine Learning Engineer
  • Data Analyst
  • Business Intelligence Developer
  • AI Research Engineer
  • Data Engineer
  • Quantitative Analyst

Frequently Asked Questions (FAQs)

What is the difference between Data Science and Artificial Intelligence?

Data Science focuses on extracting insights from data using statistical and computational methods, whilst Artificial Intelligence involves creating systems that simulate human intelligence. The two fields are closely related and complementary.

Is Data Science a good career for women?

Absolutely. Data Science is one of the most gender-neutral fields in technology, and increasing diversity initiatives across global companies make it an ideal career for women.

What tools and technologies are covered in this programme?

Students learn Python, R, SQL, Tableau, TensorFlow, Apache Spark, and other widely used data science tools and frameworks.