Founded
in 1991, the Department of Statistics at Shahjalal University of Science and
Technology (SUST) is a pioneer in higher education in Bangladesh, particularly
within the realms of science and technology. As the country's first science and
technology university, SUST has built a reputation for academic excellence and
innovative research, with the Department of Statistics recognized as one of its
largest and most influential entities, now also focusing on the growing field
of data science.
Academic
Program Overview
The
Department's distinguished faculty comprises 23 dedicated members, including 18
Professors, 1 Associate Professor, 3 Assistant Professors, and 1 Lecturer, all
devoted to enhancing statistical education, research, and data science
applications. Currently, the department serves 431 students at both
undergraduate and graduate levels, offering a comprehensive suite of programs
including Bachelor of Science (B.Sc. Honors), Master of Science (MS), MPhil,
and PhD degrees. Each year, approximately 80 undergraduates and 50 graduate
students enroll, highlighting a robust demand for its diverse programs,
especially in data sciences.
To
date, the department has celebrated numerous academic accomplishments: 5 PhD
graduates, 3 MPhil graduates, 72 MS thesis students, 749 MS graduates, and 986
B.Sc. (Honors) graduates. Presently, 4 PhD candidates and 14 MS thesis students
are conducting advanced research, making significant contributions to
statistical methodology and the expanding field of data sciences.
Cutting-Edge
Resources and Research Environment
The
Department of Statistics is equipped with two modern computer laboratories
featuring over 140 computers and extensive internet access, which allows
students to work with state-of-the-art statistical software and data science
tools essential for their academic and research pursuits. The seminar library
boasts a vast collection of books, journals, periodicals, and other scholarly
publications, providing students with abundant resources to support their
learning and research initiatives in statistics and data sciences.
Furthermore,
the department actively promotes research output, with faculty and students
frequently publishing their findings in reputable scientific journals and book
chapters. The department also hosts seminars and workshops centered on
contemporary research topics and data science advancements, fostering an
environment of intellectual exchange and continuous learning among faculty and
students.
Extracurricular
Engagement and Community
The
department's vibrant academic atmosphere is enriched by its extracurricular
activities, organized under the "Parishankhyan Paribar" banner. This
association coordinates a variety of events, including cultural programs,
sports, and social outings, cultivating a sense of community and encouraging
well-rounded development among students.
Grants
and Initiatives for Improvement
The
Department has secured various grants aimed at enhancing educational quality
and infrastructure, particularly through the Higher Education Quality
Enhancement Project (HEQEP). These initiatives demonstrate the department’s
commitment to upholding high educational standards and promoting research
excellence in statistics and data sciences.
Career
Prospects and Opportunities
Graduates
from the Department of Statistics enjoy robust and diverse employment
opportunities. Alumni have successfully secured roles in research
organizations, governmental sectors, universities, financial institutions, the
central bank (Bangladesh Bank), insurance companies, and numerous national and
international NGOs. Additionally, many graduates further their studies at
prestigious foreign universities, often supported by financial aid.
In conclusion, the Department of Statistics at Shahjalal University of Science and Technology is a leader in statistical education and a nurturing ground for future researchers and professionals in data sciences. With its steadfast commitment to academic rigor, innovative research, and comprehensive student support, SUST continues to cultivate excellence in science, technology, and data sciences for the future.
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