Dr. Madhuchhanda Bhattacharjee

Associate Professor

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Biography

Madhuchhanda Bhattacharjee is a Reader in Statistics at the University of Manchester, where she specializes in Data Science and Statistics. With a Ph.D. in Statistics from the University of Pune obtained in 2000, she has spent over two decades conducting advanced research in statistical methodologies. Her current research interests include inference on random matrices arising from big data, regression modeling for large datasets, and parallel processing techniques. She is also engaged in the analysis of large and heterogeneous data sets, Bayesian integrated modeling of 'omics' data, and inference on stochastic processes. Bhattacharjee is an active member of several professional societies, including the International Indian Statistical Association and the Institute of Mathematical Statistics. She has contributed prominently to the field and is known for her engagement with the Royal Statistical Society since 2005. Her work supports the UN Sustainable Development Goals by addressing key challenges in data science and statistics through innovative research methods.

Research Interests

Experience

Reader

2005-01-01 — Present

University of Manchester • Manchester, England

Conducting research and teaching in Statistics and Data Science.

Awards

#

Fellow

2005-01-01

Requirements for University of Manchester

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:7
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:100
Prerequisites
Bachelor's degree in a relevant engineering or science subject Strong background in mathematics and physics
Application Checklist
  • Academic transcripts
  • Two academic references
  • Personal statement
  • CV/Resume
  • English language proficiency certificate
Specialization Notes

Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.