Activities

The Department of Computational Statistics & Data Analytics was established in July 2020 at Guru Nanak Dev University inside the Maharaja Ranjit Singh Bhawan building. The Department 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. The Department currently offers two main academic tracks under the CSDA framework: the M.Sc. (Computational Statistics & Data Analytics) [Five-Year Integrated Programme] and the M.Sc. (Computational Statistics & Data Analytics) [Two-Year Programme]. These tracks are further structured into various exit and specialization points in accordance with the National Education Policy (NEP) 2020 guidelines, offering flexibility and multiple career paths to students. In addition, the curriculum emphasizes computational and analytical techniques that are essential in modern data science. Courses in statistical computing, optimization techniques, simulation, and programming with C++, R and Python ensure that students are proficient in both theory and practical implementation. Advanced topics like machine learning, data mining, and high-dimensional data analysis prepare students to work with complex data systems and algorithms.
The programmes also include contemporary subjects in data science and emerging technologies such as big data analytics, deep learning, natural language processing (NLP), and Internet of Things (IoT) analytics.
To support this learning students receive training in widely-used software and tools, including R, Python, MATLAB, SQL/NoSQL databases, Tableau, Power BI, Hadoop, and SPSS. These tools form the technological backbone of the program, ensuring that graduates are industry-ready and competent with current technologies.
In summary, the CSDA programs offered by the Department provide a rigorous, future-focused education designed to develop the next generation of data professionals. With a balance of theoretical depth, computational skill, and applied learning, graduates are well-equipped to succeed in dynamic roles such as Data Scientist, Machine Learning Engineer, Business Analyst, Data Engineer, and AI Researcher, among others. The flexible program design also enables students to enter or exit at various points with recognized qualifications, ensuring academic mobility and relevance in the evolving data-driven world.