Data Science - St. Xavier's College, Ahmedabad (Autonomous), Affiliated To Gujarat University

About the Department

The Department has been established with an objective to offer academic and industry relevant programmes in emerging disciplines like Big Data Analytics, Machine Learning and Artificial Intelligence. Data Science initially introduced as a broader vision for theoretical statistics, later on focussed into a more applied, data-centric architecture. From a multi-disciplinary field, now data science is emerged as one of inevitable field, which integrated elements of machine learning and statistical computing particularly aims to train data aspirants to extract meaningful insights from data, build models and contribute to advancements in scientific and business research.
The department adopts a variety of teaching and learning methods like lectures, discussions, student centered and technology enhancement learning. It also includes hands-on learning experiences, such as laboratory work or practical classes, that allow students to apply theoretical knowledge in real-world contexts.

VISION

To become the centre of knowledge for data sciences and use that medium to transform society
To be a leading educational programme that focus on equipping students with cutting-edge big data technologies, analytical skills, and industry-relevant knowledge to support decision-making and innovation.

MISSION

To achieve excellence in teaching and research in Data Sciences and create an exceptional workforce.
Offer courses which provide strong foundation in Statistics, Data science, Data analytics, Machine Learning, Deep Learning, Artificial Intelligence and Big data technologies which helps the students to develop problem -solving skills and critical thinking to interpret and derive insights and make evidence-based decisions.
It also bridges the gap between academia and industry by incorporating case studies, projects and internship as part of curriculum.

VISION

Growing into a globally recognized teaching and research facility.

MISSION

Excel in Biochemistry and Biotechnology teaching, create excellent students with a skill set benefiting the society.

Programmes

Undergraduate programme in Artificial Intelligence and Machine Learning

The BSc. in Artificial Intelligence (AI) & Machine Learning (ML) program provides a solid foundation in AI & ML, blending theory with practical experience. Aligned with the National Education Policy (NEP), it meets the rising demand for AI professionals across various sectors like healthcare, finance, and robotics. Key subjects include Python Programming, Data Science, and AI Fundamentals, fostering coding and analytical skills. Through practical projects, internships, and industry collaborations, students gain real-world experience. Guided by expert faculty, the program encourages critical thinking, innovation, and entrepreneurship, preparing graduates for careers in AI, data analysis, and research.

Postgraduate Programme in Artificial Intelligence

The Masters Programme in Artificial Intelligence (M.Sc. AI) is an integral part of the Department of Data Science. AI augments human capabilities, accelerates discoveries, and unravels complex phenomena that were previously challenging. Our course will impart advanced computational methods that enable to identify patterns, extract meaningful insights, and make predictions with unprecedented accuracy. Postgraduate course in AI enables students to explore exciting careers at national and international research laboratories related to the diverse branches of AI, as well as at academic institutions, space organization, meteorology departments, medical industry, electronics industry, public services, the armed forces etc.

Postgraduate Programme in Big Data Analytics

The Tata Consultancy Services (TCS) initiative has made remarkable strides in shaping the talent capability aligned to data analysis, and business requirements in order to accrue mutual benefits for academics and industry. The objective of this course is to contribute to an overall development of the student community in order to enhance the quality of talent supply by channelizing practical industry knowledge. The course-work comprises of Foundations of Data Science, Advanced Statistical Methods, Advanced Machine Learning and Big Data Technologies for Data Science etc.

The best part of the programme is that the students will work in a real-time environment during the fourth semester of their course, which will enable them to have a hands-on experience of analyzing big data. Starting from semester 2, the department along with a group of alumni, will mentor selected students to work with real-time data projects.