Department of Data Science & Analytics

The Department of Data Science and Analytics at the Central University of Rajasthan is dedicated to fostering excellence in the dynamic and rapidly evolving field of Data Science. Our aim is to equip students with cutting-edge skills and knowledge, enabling them to interpret and utilise the vast streams of scientific, social, and financial data generated every second. We aim to be a vibrant research hub, promoting interdisciplinary collaboration and innovation in data analysis and utilisation.

Our department officially launched in August 2018, but our story actually began earlier, in 2016. That's when we partnered with Tata Consultancy Services (TCS) to introduce the MSc CS (Big Data Analytics) program. It was the first step in our journey towards building a department focused on data science education.

This collaboration continued till 2020 and since then the dept has started working independently. MSc CS (Big Data Analytics) program marked a significant milestone in our journey, blending industry expertise with academic rigour.

M.Sc. in Computer Science (Big Data Analytics)

Launched in 2016 through a pioneering collaboration with Tata Consultancy Services (TCS), M.Sc. Computer Science (Big Data Analytics) is designed to train students in the burgeoning field of Data Science and prepare them for careers in the rapidly expanding domain of data analytics.

**Curriculum and Structure:**

The curriculum is rooted in the three foundational pillars of Data Science: Computer Science, Statistics, and Mathematics, ensuring a comprehensive and interdisciplinary approach. The program extends over two years, divided into the four semesters, with the final semester dedicated to project work, ideally within a relevant industry setting.

**Industry Integration and Internship Opportunities:**

Efforts are ongoing to extend internship possibilities to other leading companies engaged in data science and analytics.

In semester IV, Each student has to carry out Internship based projects/research projects.

**Eligibility Criterion:**

Following degree holders from recognized Universities with minimum score of 50% marks in graduation for general category and minimum 45% marks for reserved categories are eligible:

1. B.Sc. with Computer Science/Information Technology and Mathematics/Statistics as one of the subjects.

2. B. E. / B. Tech. in Computer Science / Information Technology or related streams.

Ph.D. in Data Science & Analytics

**Program Overview:**

The Ph.D. program in Data Science & Analytics at the Central University of Rajasthan is designed for advanced research in the field. It aims to develop scholars who can contribute significantly in the area of Data Science, pushing the boundaries of what's possible in big data analysis, machine learning, and statistical methods.

**Research Objectives:**

Associate Professor and Head

Ph.D. (IIT Delhi), Postdoctoral Research Fellow (University of California Berkeley USA)

[email protected]

8290076680

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The Department Lab, named Big Data Lab, is equipped with 34 computers with one video conferencing system.

•Wi-Fi & LAN Connectivity

•LED Monitor with Speakers

•Video Conferencing Equipment

•HP Desktop (Quantity: 32)

•Digital Amplifier

•Optical Air Mouse and Receiver

Achievement Title	Attached File
The success of our first cohort, all students of the 2018 batch securing positions at reputed companies , is a testament to our commitment to delivering quality education and practical training. Our graduates are not just well-versed in theoretical concepts but are also adept at applying their knowledge in real-world scenarios, making them highly sought after in the job market.

Achievement Title

Attached File

The success of our first cohort, all students of the 2018 batch securing positions at reputed companies , is a testament to our commitment to delivering quality education and practical training. Our graduates are not just well-versed in theoretical concepts but are also adept at applying their knowledge in real-world scenarios, making them highly sought after in the job market.