Department of

Statistics and Data Science

The Department of Statistics intends to provide dynamic research environment and effective education including excellent training in scientific data collection, data management, methods and procedures of data analysis in different areas of Statistics.  For this, we are striving to make our courses challenging, relevant, and innovative to enrich the minds of the students in order to enable them to achieve academic and research excellence.

Vision

Excellence and Service.

Mission

The Department of Statistics and Data Science is committed to excellence in teaching and equipping students to become practicing Statisticians.

Department

Overview

Statistics is the body of scientific principles and methodologies that are used to extract useful and comprehensive information from data to draw conclusions about any phenomenon and is a discipline that studies the best ways of dealing with randomness, or more precisely and broadly, variation.  The Department of Statistics is the deep interplay between application, computation and theory, as well as the backbone of data science. It renders a good combination of pure and applied statistics with software skills, enabling students to successfully participate in professional life by gaining knowledge.

Message

from the HoD


Today's world has seen unprecedented events. The pandemic has forced us to invent new tools and techniques to overcome and emerge successfully out of this scenario.

Statistics is used in practically every field of life. From a small decision to a large scale policy, the knowledge of Statistics helps in understanding, analysing as well as taking good, solid decision, with scientific techniques and theory. The world today, driven by a surge of data, much of it which is unfiltered, needs a statistician to make sense of it. Software can help in analysis but to draw conclusions, we need statisticians. The Department is focused on facilitating students to understand theory as well as apply it to real life situations. The dedicated staff, syllabus at par with international universities are all geared up for this role
.

Dr Deepthi Das
hod.statistics@christuniversity.in

PROGRAMMES

Department

Activities

A bird's eye-view of all the events and activities of the department

Our

Achievements


Distinguished

  Alumni

Anna Sosa Thomas IRS

 

Batch: 2009 Program: BSc (CMS)
Position: Assistant Commissioner-Central Taxes, Bangalore.

 

Mr. Carlson Tata

 

Batch: 2010 Program: BSc (CMS)
Position: Head, Life Actuarial Service at Leadway Assurance Company Limited, Nigeria.

Dr. Sangeetha George

 

Batch: 2006 Program: BSc (CMS)
Position: Associate Professor and Head, Department of Science, CHRIST Academy

 

Mr. Stebin Xavier

 

Batch: 2010 Program: BSc (CMS)
Position: Lead Statistician, GSK, India

Ms. Radha Acharya

 

Batch: 2014 Program: BSc (CMS)
Position: Senior Analyst, Avanade, Vancouver, Canada

 

Ms. Neethu K Thomas

 

Batch: 2006 Program: BSc (CMS)
Position: Indian Statistical Service, Director, Ministry of Statistics and Program implementation, Gujarat, India.

 

Mr. Rishabh Bhandari


Batch: 2020   Program: BSc (EMS)
Position: Economist, TresVista Financial Service Ltd, Puna, India.

Ms. Sakshi Agarwal


Batch: 2017 Program: BSc (CMS)
Position: Data Analyst, Ernst and Young, Lucknow, India.

 

Ms. Richy Rachel Mathew

 

Batch: 2016 Program: BSc (CMS)
Position: Indian Statistical Service, Assistant Director, Ministry of Statistics and Program implementation, India

 

Faculty

List

Name
Specialization
Campus

Dr ARUL KUMAR N

Computer Science BANGALORE CAMPUS View

Dr AZARUDHEEN S

Statistics BANGALORE CAMPUS View

Dr BASANNA VEERANNA DHANDRA

Statistics BANGALORE CAMPUS View

Dr DALVIN VINOTH KUMAR A

Computer Science BANGALORE CAMPUS View

Dr DEEPTHI DAS

Computer Science BANGALORE CAMPUS View

Dr DIBU A S

Applied Probability and Insurer's Risk BANGALORE CAMPUS View

Dr HEMLATA JOSHI

Mathematical Demography BANGALORE CAMPUS View

Dr JIJU GILLARIOSE

Statistics BANGALORE CAMPUS View

Dr MINI JAYAN

Biostatistics BANGALORE CAMPUS View

Dr MONISHA SINGH

Computer Science BANGALORE CAMPUS View

Dr NIJU P JOSEPH

Genetic Algorithm BANGALORE CAMPUS View

Dr NIMITHA JOHN

Models for Co Integrating Time Series BANGALORE CAMPUS View

Dr RAJESH R

Computer Science BANGALORE CAMPUS View

RICHU RAJESH

Statistics BANGALORE CAMPUS View

Dr RUPALI SUNIL WAGH

Computer Science BANGALORE CAMPUS View

Dr SALEEMA J S

Computer Science BANGALORE CAMPUS View

Dr SEENA THOMAS K

Biostatistics BANGALORE CAMPUS View

Dr SHARON VARGHESE A

Lifetime Distributions BANGALORE CAMPUS View

SIVA G

Classification Techniques BANGALORE CAMPUS View

Dr SIVAKUMAR R

Science & Humanities (computer applications) BANGALORE CAMPUS View

Dr SUHAS

Statistics BANGALORE CAMPUS View

Dr TULASI B

Computer Science BANGALORE CAMPUS View

Dr UMMESALMA M

Data Mining and Knowledge Discovery BANGALORE CAMPUS View

Dr VIJAYALAKSHMI A

Computer Science BANGALORE CAMPUS View
Name
Specialization
Campus
Record not updated.
Name
Specialization
Campus
Record not updated.
Name
Specialization
Campus

AGRATA GUPTA

Data Analytics BANGALORE CENTRAL CAMPUS View

ANNA THOMAS

Statistics BANGALORE CENTRAL CAMPUS View

BASKARAN T

Statistics BANGALORE CENTRAL CAMPUS View

GYANESHWAR SINGH

DATA SCIENCE BANGALORE CENTRAL CAMPUS View

HARIPRIYA H

Statistics BANGALORE CENTRAL CAMPUS View

MEBY JOSEPH MANOJ

BANGALORE CENTRAL CAMPUS View

MUTHUKUMAR D

CHEMISTRY BANGALORE CENTRAL CAMPUS View

PREETHA THOMAS

DATA ANALYTICS BANGALORE CENTRAL CAMPUS View
Name
Specialization
Campus
Record not updated.
Name
Programme
Record not updated.

Department

Photos


CHRIST

(Deemed to be University)

Dharmaram College Post, Hosur Road, Bengaluru - 560029,
Karnataka, India

Tel: +91 804012 9100 / 9600

Fax: 40129000

Email: mail@christuniversity.in

Web: http://www. christuniversity.in

Vision

EXCELLENCE AND SERVICE

Mission

CHRIST (Deemed to be University) is a nurturing ground for an individual's holistic development to make effective contribution to the society in a dynamic environment.

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