Data Science is popular in all academia, business sectors, and research and development to make effective decision in day-to-day activities. The Master of Data Science (MDS) is a postgraduate program that combines computer science and statistics to foster proficiency in data-driven decision-making. It is a two-year course comprising six trimesters.

This programme aims to provide opportunity to all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in theory of data science with hands on experience in relevant domains and tools. Candidate gains exposure to research models and industry standard applications in data science through guest lectures, seminars, projects, internships, etc.

MSc in Data Analytics is a six trimester inter-disciplinary post-graduate degree programme conducted by Department of Statistics and Data Science. This programme is designed for working professionals and graduates who want to launch their career in the in-demand and lucrative field of data analytics. As organizations are looking ways to exploit the power of big data, technology professionals who are experienced in analytics are in high demand. This programme aims to offer thorough knowledge of the theory and practice of data analytics to become a leading practioner in the field of data analytics. This programme accommodates a wide audience of learners whose specific interests in data analytics may be either technical or business focused.

The Doctor of Philosophy programme in Data Science is a distinctive offering that integrates principles from Computer Science, Statistics, and Mathematics. Given the pivotal role of data science and its computational models in decision-making processes across various domains, it has become a highly sought-after field in research, academia, and industry. The Department of Computer Science is dedicated to delivering a comprehensive curriculum that seamlessly combines theoretical research with practical applications in the realm of data science.

This programme is designed to cultivate dynamic researchers capable of designing sophisticated mathematical and statistical models for extracting knowledge from data. By fostering a blend of creativity and innovation, students are equipped with the skills to address complex data research problems, showcasing intellectual excellence in the fields of Computer Science, Mathematics, and Statistics.

Statistics is a discipline of scientific principles and methodologies to extract valuable and comprehensive information from data to conclude any phenomenon. It is a discipline that studies the best ways of dealing with randomness, or, more precisely and broadly, variation.

It is the profound interplay between application, computation and theory and the backbone of data science. It renders a good combination of pure and applied statistics with software skills,  enabling students to successfully participate in professional life by gaining knowledge.

The Doctor of Philosophy in the field of Statistics develops students as researchers to pursue careers as teachers in higher education or scientists in the government or private sector. Technological advances made it easier to collect big data and make correct decisions with the help of apt statistical models. This made Statistics as one of the most sought-after fields of science research.

The Department of Statistics is committed to excellence in teaching and research. PhD programme in Statistics offered by the department enables students to develop novel statistical models, validate their statistical properties mathematically and implement them in applied fields through collaborative interaction with researchers in interdisciplinary fields.

The undergraduate programme BSc (Data Science, Statistics) is a novel three-year dual major, interdisciplinary degree programme. The students are given the option to pursue fourth year for the award of Honors degree. It has been specifically designed for the current Information and Knowledge Creation Era. This Programme will equip the students to learn about querying, 

acquiring and understanding the categories of data and its analysis,methods to extract insights from data and to visualize and report the results.It also helps students to make formal and informal inferences based on statistical data and to understand classical and modern data analytics techniques, artificial intelligence techniques and machine-learning concepts

MSc (Computational Statistics and Applied AI) is a two-year postgraduate programme offered in partnership with CleverInsight, Bangalore. The programme consists of four semesters where the classes are conducted during weekends. The industry-integrated MSc programme in Computational Statistics and Applied AI is an excellent opportunity for professionals who want to transition into the data science and AI fields.The programme structure is designed to equip students with industry-focused data science, data engineering, and applied AI modules

The programme's practical training and hands-on experience will give students the skills and knowledge to become data-driven decision-makers. Collaborating with industry experts and working on live projects provides students real-world experience, making them industry-ready.
Class Timings: 
Saturday and Sunday: 09:00 am to 05:00 pm (Hybrid Mode)

The Master of Science in Data Analytics and Artificial Intelligence offered by Christ University and Master of Arts in Data Analytics and Artificial Intelligence by Steinbeis University, Germany is a two year collaborative Dual Degree programme. The programme consists of four semesters, in which students will learn first year in Christ University, India and Second year in  Steinbeis University, Germany. This programme is designed to meet the rising demand for AI professionals who are essential in today’s data-driven world.

With organisations across various sectors, including technology, finance, healthcare, and e-commerce, increasingly relying on data insights, the need for experts who can analyze, interpret, and apply data is at an all-time high. This programme equips graduates with cutting-edge skills in advanced analytics, machine learning, and big data technologies, making them highly competitive candidates for high-paying job roles in top-tier companies. Additionally, the foundation in research methodologies opens opportunities for pursuing PhD programs across multiple disciplines, enabling graduates to contribute to innovative research and academic advancements.