Welcome To
School for Training and Analytical Research in Economics, Business and Society (STAREBS)
STAREBS is an online platform established to promote advanced learning, analytical training and research across Economics, Business, Social Sciences and Humanities. It provides opportunities for undergraduate, postgraduate and research students to acquire knowledge and practical skills through Advanced Data Science, Data Science and AI/ML courses, undergraduate internships, research-oriented training and Digital Humanities initiatives. Its programmes are designed to complement conventional university education through exposure to contemporary analytical tools, data-driven methods and project-based learning. Students from diverse academic disciplines are encouraged to participate, fostering an interdisciplinary environment in which knowledge, technology and research are brought together to address emerging academic and professional challenges.
Special Workshop on Applied Big Data Analytics and ML models for paper publishing.
Undergraduate & Graduate Research Internship opportunities now accepting candidates.
Upcoming International Research Seminar on Digital Humanities and Empirical Social Sciences.
Applications open for Advanced Data Science & Econometrics Certification Program 2026.
Special Workshop on Applied Big Data Analytics and ML models for paper publishing.
Undergraduate & Graduate Research Internship opportunities now accepting candidates.
Upcoming International Research Seminar on Digital Humanities and Empirical Social Sciences.
Applications open for Advanced Data Science & Econometrics Certification Program 2026.
QRSS (T)
QRSS (R)
DATA SCIENCE
DATA SCIENCE
Director's Note
It gives me great pleasure to welcome you to STAREBS (School for Training and Analytical Research in Economics, Business and Society).
STAREBS has been conceived as a platform where learning is extended beyond the conventional boundaries of classrooms and disciplines. In a rapidly changing academic and professional environment, students need not only sound conceptual foundations but also exposure to data, technology, research methods and emerging areas of knowledge. Through our courses, internships, research initiatives, Digital Humanities programmes, seminars and conferences, opportunities are created for students to explore these dimensions in an intellectually stimulating environment.
Particular emphasis is placed on interdisciplinary learning. Students from Economics, Business, Social Sciences and Humanities are encouraged to engage with contemporary analytical tools and research methods. The participation and achievements of students from diverse disciplines in our programmes have demonstrated that curiosity, creativity and the willingness to learn can transcend disciplinary boundaries.
STAREBS seeks to nurture young minds who are capable of thinking independently, asking meaningful questions, working with evidence and approaching problems creatively. It is hoped that the learning and experiences gained through STAREBS will contribute not only to academic and professional development but also to the formation of thoughtful and responsible individuals.
Former Vice-Chancellor,
University of Calcutta
Prof. Sugata Marjit ,
Director, STAREBS
Former Vice-Chancellor,
University of Calcutta
STAREBS in News
Watch media coverage and video highlights about STAREBS research programs and academic achievements.
Our Collaborations
Global Institute of Economic Studies
Academic AllianceJoint research seminars and cross-institutional paper reviews in applied econometrics.
Center for Data Analytics & Policy
Research PartnerProviding real-world dataset access and mentorship for machine learning modules.
International Social Science Forum
Global NetworkFacilitating international mentorship and recommendations for abroad PhD programs.
Youth Employability Initiative
Placement & Internship PartnerDirect placement track for STAREBS mentorship graduates into analytical roles.
Student Voices
Rohan Kapoor
Data AnalyticData Analyst
""Hands-on practice with real-world datasets helped me transition seamlessly from academia into high-impact corporate research Positions.""
Meera Das
QRSS ProgramResearch Fellow
""The Quality Research Support System (QRSS) was invaluable for my paper writing. Applying machine learning models to social science data opened new avenues.""
Siddharth Sen
Analytical SkillsUG Graduate
""Unlike conventional classroom lectures, STAREBS pushed me to think out of the box. The small batch size provided direct feedback on every research proposal.""
Ananya Roy
Research & MentorshipPG Student
""The mentorship under Prof. Marjit helped me bridge theoretical economics with Python-driven data analysis. It gave me the confidence to apply for top research programs.""