Course guide · Courses & Degrees

B.Sc Statistics

Statistics is the science of learning from data. A B.Sc in Statistics provides one of the strongest foundations for data science, analytics, actuarial work and research.

3 min read · Last reviewed 26 September 2026

Duration
3–4 years
Eligibility
Class 12 with Mathematics
Admission
CUET-UG, university processes, ISI admission test for B.Stat
Careers
Data science, analytics, actuarial, research

Course overview

Subjects include probability, statistical inference, sampling, regression, design of experiments, time series and statistical computing with R or Python. See Data Scientist.

Who this course may suit

  • Students who like maths and real-world data

Eligibility

  • Class 12 with Mathematics

Entrance exams and admission

ExamUsed forNotes
CUET-UGB.Sc programmes at participating universities
ISI Admission TestB.Stat and B.Math at the Indian Statistical Institute

Exam names, patterns, eligibility and participating institutions change. Check the official notification for the current year.

What you will study

Typical structure — varies by university
YearTypical subjects
Year 1Descriptive statistics, probability, calculus
Year 2Distributions, sampling, statistical inference, R programming
Year 3Regression, design of experiments, time series, econometrics, project

Skills you will develop

  • Statistical analysis
  • R/Python
  • Data interpretation

Where the course is offered

Universities and ISI.

Want help applying this to your own situation? Career Counselling After Class 12 on the Career Captain website.

Indicative fees

Government and aided colleges usually charge modest fees; private colleges commonly charge about ₹30,000 to ₹1.5 lakh a year.

Fees differ widely between government, aided, private and deemed institutions, and change every year. Any figures here are broad indications only — check each institution's official fee notice, and ask about scholarships and fee waivers.

Career options after the course

Data Scientist

Analytics and modelling.

Economist

Econometrics.

Higher-study options

  • M.Sc/M.Stat Statistics
  • Actuarial exams
  • Data science programmes

Advantages of this course

  • Strong data career foundation

Challenges to consider

  • Needs programming alongside theory

Is this course a good fit for you?

It may suit you if…

  • You like finding patterns in data

It may be harder if…

  • You dislike mathematics

Similar courses to compare

Frequently asked questions

Is statistics good for data science?

Yes — it is the core of data science.

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