Delhi NCR Campus

Doctor of Philosophy (PhD) in
Statistics

Open from: 03-Mar-2026 | Open until: 14-Jun-2026

0
Semester
Specialisations
0 Yrs
Duration
Top 50
B-School India
Applications OpenUntil 14-Jun-2026
3
Years (Minimum to Maximum Research Duration)
6 +
Active Research Areas in Statistics & Data Science
35 +
PhD Scholars Guided by the Department
100 %
Commitment to Excellence in Teaching & Researchrn
Programme Overview

About the Programme

The Doctor of Philosophy (PhD) in Statistics at CHRIST (Deemed to be University), Delhi NCR Campus, develops students as researchers to pursue careers as teachers in higher education or as scientists in the government or private sector. Technological advances have made it easier to collect big data and make correct decisions with the help of apt statistical models  making Statistics one of the most sought-after fields of research in science today. The Department of Statistics is committed to excellence in teaching and research. The PhD programme in Statistics offered by the department enables students to develop novel statistical models, validate their statistical properties mathematically, and implement them in applied fields through collaborative interaction with researchers across applied disciplines.

Novel Statistical Model Development

The core of the PhD programme is training scholars to independently develop original statistical models tailored to real-world problems. Scholars learn rigorous model formulation, theoretical derivation of statistical properties, and simulation-based validation methods.

Big Data & Applied Statistical Decision Making

With technological advances enabling large-scale data collection across healthcare, finance, industry, and government, the programme equips scholars with statistical tools and frameworks to extract meaningful insights and support sound decision-making from big data environments.

Mathematical Rigour & Statistical Theory

Scholars develop a deep theoretical foundation mathematically validating the statistical properties of new models (consistency, efficiency, robustness, unbiasedness) and grounding their research in the classical and modern statistical theory that underpins the discipline.

Collaborative Applied Research

The PhD programme places strong emphasis on interdisciplinary collaboration. Statistics PhD scholars work alongside researchers from applied fields including biostatistics, econometrics, environmental science, social science, and engineering implementing novel statistical methods to solve domain-specific challenges.

Why at Delhi NCR Campus

Why Choose This Programme?

Statistics  One of the Most Sought-After Research Fields : Technological advances in big data collection have propelled Statistics to the forefront of scientific research. A PhD in Statistics from CHRIST positions you in one of the most globally in-demand research disciplines, with applications spanning healthcare, finance, public policy, industry, and artificial intelligence.

Develop Original, Mathematically Validated Statistical Models : The PhD programme is specifically designed to train scholars to create novel statistical models from scratch  formulating, mathematically validating their properties, and testing them in real-world applied contexts. This rare, rigorous capability is highly valued in academia and industry research alike.

Department Committed to Excellence in Teaching & Research : The Department of Statistics at CHRIST is committed to the highest standards in both teaching and research. Scholars benefit from a research culture that values precision, originality, and academic integrity  guided by faculty with active publication records and domain expertise in diverse statistical fields.

Dual Career Pathways  Academia & Industry : The PhD programme explicitly prepares scholars for two high-value career paths: teaching in higher education (as professors or lecturers at colleges and universities) and research-based roles as scientists in government organisations (e.g. NSSO, ICAR, ICMR, DRDO) or the private sector (data science, analytics, pharmaceutical research).

Applied Research through Interdisciplinary Collaboration : Statistics PhD scholars at CHRIST are encouraged to collaborate with researchers across disciplines  implementing statistical methods in fields like biostatistics, agricultural science, social science, economics, and engineering. This applied focus ensures research impact that extends well beyond the statistics department.

Timely, Relevant Research in the Age of Big Data : As big data becomes central to decision-making in every sector, the ability to build, validate, and apply sophisticated statistical models is an invaluable skill. The PhD programme at CHRIST ensures scholars are at the cutting edge of statistical methodology  equipped to work with modern data environments and computational statistical tools.
 

Areas of Specialisation

Choose Your Track

Statistical Theory & Probability

Focuses on developing and validating new statistical distributions, estimation theory, hypothesis testing frameworks, Bayesian methods, stochastic processes, and probability theory. Ideal for scholars pursuing academic careers in statistics or foundational research roles at statistical institutes.

Applied Statistics & Biostatistics

Covers statistical modelling for real-world applications including regression and multivariate methods, survival analysis, clinical trial design, epidemiological modelling, environmental statistics, agricultural statistics, and econometrics. Ideal for scholars aiming for roles in government research, pharmaceutical companies, health organisations, and applied research institutions.

Data Science, Computational Statistics & Big Data Analytics

Explores statistical machine learning, high-dimensional data analysis, time series modelling and forecasting, statistical computing (R, Python, SAS), Bayesian computation (MCMC), and statistical methods for big data platforms. Ideal for scholars targeting data science leadership roles, analytics firms, or interdisciplinary research at the intersection of statistics and computing.

Learning Outcomes

What You Will Learn

Novel Statistical Model Development: Learn to independently formulate and construct new statistical models defining their theoretical structure, deriving their mathematical properties, and demonstrating their superiority over existing methods through rigorous analytical and simulation-based comparisons.
Mathematical Validation of Statistical Properties: Develop the ability to rigorously prove the statistical properties of new models including consistency, efficiency, sufficiency, unbiasedness, and asymptotic behaviour using the tools of mathematical statistics and probability theory.
Applied Implementation & Collaborative Research: Gain expertise in applying novel statistical models to real datasets from applied fields working collaboratively with researchers in healthcare, agriculture, economics, social science, or engineering to address domain-specific analytical challenges.
Big Data & Computational Statistical Methods: Master modern computational statistics tools (R, Python, SAS, MATLAB) and learn to handle large-scale datasets using statistical machine learning, time series analysis, Bayesian computation, and high-dimensional data methods.
Scholarly Communication & Academic Dissemination: Develop advanced skills in statistical writing, conference presentation, and peer-reviewed journal publication enabling you to contribute meaningfully to the global statistical research community and establish your academic or research profile.
Admissions

Eligibility & Fee Structure

Eligibility Criteria
Fee Structure (Indicative)
After Graduation

Career Paths

Professor / Lecturer in Statistics (Higher Education)
Statistician / Research Scientist Government (NSSO, ICAR, ICMR, CSO)
Biostatistician (Pharmaceutical & Healthcare Research)
Actuary & Statistical Consultant
Machine Learning Engineer (Statistical Foundations Track)
Statistical Programmer (Clinical Trials / SAS / R)
Postdoctoral Research Fellow (Statistics / Biostatistics)
Data Scientist / Principal Data Scientist (Industry)
Quantitative Analyst / Risk Modeller (Banking & Finance)
Epidemiologist / Statistical Epidemiologist
Operations Research Analyst
Entrepreneur / Analytics Startup Founder
From the Department

Message from the HOD

HOD Name
Computer Science, Mathematics and Statistics)
Delhi NCR Campus

Welcome to the Department of Computational Sciences, CHRIST(Deemed to be University), NCR Campus. Soon, India will be a talent provider to the world of computational sciences. To meet the demanding educational requirements in the field of sciences and preparing young minds to set a high benchmark in society, the University has started the School of Sciences with the Department of Computational Sciences as a separate wing.  The mission of the budding department is to utilize the power of computational sciences to mould the young minds, to take up the challenging industry innovations for the betterment of society. Computational  Science has marked its importance in our professional and personal life.

The curriculum is designed to

Read more...

Computer Science, Mathematics and Statistics, Delhi NCR Campus
How to Join

Admission Process

1
Register
  • Register with your Email ID
  • Login to the Admission Portal
2
Apply Online
  • Fill the Application Form
  • Pay Application Fee
3
Entrance Test
  • Entrance Test (If Applicable)
  • Assessment
  • Interview
4
Result
  • Check login page for result
  • If selected, Offer Letter attached
5
Fee Payment
  • Pay Course Fee Online
  • Complete Admission Process
Ready to Apply?

Applications for the 2026 batch are open. Deadline: 14-Jun-2026.

CHRIST
(Deemed to be University) Delhi NCR Campus

Mariam Nagar, Meerut Road, Delhi NCR, Ghaziabad - 201003

Tel: 01206666100

Email: mail.ncr@christuniversity.in

Web: https://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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