MSIT

MEGHNAD SAHA INSTITUTE OF TECHNOLOGY

Empowering Minds Through Innovation and Education
Recognized for Excellence in Technical Education and Research
Approved by AICTE, Affiliated to MAKAUT, Accredited by NBA
Building Future Leaders in Technology and Innovation

About Us | BSc Statistics Department | MSIT

The BSc Statistics Department at Meghnad Saha Institute of Technology (MSIT) is dedicated to fostering analytical thinking, statistical expertise, and problem-solving skills in students. Our program offers a rigorous curriculum, hands-on learning, and research-driven education, preparing graduates for diverse career paths in data science, research, finance, healthcare, and more.


Department Highlights

Strong Emphasis on Data Analysis – Develop a solid foundation in statistical theory and its practical applications across industries.

Experienced Faculty – Learn from highly qualified faculty with expertise in biostatistics, econometrics, machine learning, and data science.

State-of-the-Art Facilities – Gain hands-on experience with modern statistical software, high-performance computing, and advanced data analysis labs.

Research Opportunities – Engage in faculty-led research projects, contributing to advancements in the field of statistics.

Career-Oriented Approach – Develop essential data interpretation, analytical reasoning, and statistical modeling skills, ensuring successful careers in academia, industry, and research.


Undergraduate Program: BSc Statistics

Core Course

  • Probability and Statistics – Master theoretical and applied probability models.
  • Statistical Inference – Learn estimation, hypothesis testing, and confidence intervals.
  • Linear Regression – Understand statistical modeling and predictive analytics.
  • Multivariate Analysis – Analyze complex datasets with multiple variables.
  • Design of Experiments – Apply experimental design principles for data-driven decision-making.
  • Data Mining & Machine Learning – Explore statistical methods for AI, big data, and automation.

Specialization Tracks (Optional)

  • Biostatistics – Statistical applications in healthcare, epidemiology, and genetics.
  • Econometrics – Quantitative methods for economic forecasting and financial modeling.
  • Data Science – Advanced techniques for big data analytics, AI, and business intelligence.

Why Choose MSIT for Your Statistics Education?

  • Strong Industry & Alumni Network – Connections with leading companies & experienced alumni.
  • Comprehensive Curriculum – Covering a wide range of statistical methods & applications.
  • Hands-on Experience – Practical exposure to real-world datasets & industry-standard statistical tools.
  • Research & Conferences – Opportunities to publish papers and present research findings.
  • Supportive Learning Environment – Encouraging intellectual curiosity, analytical thinking, and innovation.