BSc Statistics 2026: Course Details, Subjects, Fees, Top Colleges, Eligibility, Career & Salary in India

The BSc Statistics degree is a 3-year undergraduate program focused on data analysis, probability, and statistical methods used across business, science, and research. Students must typically complete 10+2 with Mathematics, with admission based on merit or entrance exams like CUET in top universities. The course develops analytical and problem-solving skills through subjects such as descriptive statistics, statistical inference, and time series analysis. Graduates can pursue careers as data analysts, statisticians, or research assistants in industries like IT, finance, and analytics. Entry-level salaries generally start around ₹3–8 LPA, depending on skills and employer, while course fees vary widely between government and private colleges.

What is BSc Statistics?

BSc Statistics is a three-year undergraduate program focused on data analysis, probability, and statistical modeling used across business, finance, technology, and research sectors. Admission is typically based on merit or entrance exams such as CUET for central universities. The program is gaining popularity due to rising demand in data analytics, AI, finance, and research-driven industries. Course fees vary widely depending on whether the college is government or private. Graduates commonly pursue roles such as data analysts, statisticians, and risk analysts, with entry-level salaries generally ranging between ₹3–8 LPA depending on skills and specialization.

BSc Statistics Eligibility & Admission 2026

To be eligible for a BSc Statistics programme, candidates must have completed 10+2 education from a recognised board with Mathematics as a compulsory subject, usually securing at least 50–60% aggregate marks (may vary by institution). Admission is conducted either through entrance examinations or merit-based selection depending on the university.

Central universities such as Delhi University, Banaras Hindu University (BHU), and other participating institutions generally admit students through CUET UG scores, while many private and state universities offer admission based on Class 12 merit or university-level entrance tests. Institutions like Christ University may conduct their own admission processes including entrance tests and interviews.

Candidates should regularly check official university admission portals for updated eligibility criteria, cut-offs, and admission timelines, as requirements may differ across colleges and categories.

Delhi University admissions are conducted through CUET UG, where highly competitive programmes may require scores above 700 for strong consideration depending on category and subject combinations. Central universities such as BHU and other CUET-participating institutions also rely primarily on CUET UG scores.

Many state universities and private colleges continue to offer merit-based admissions based on Class 12 marks, generally requiring at least 50% aggregate with Mathematics as a compulsory subject.  Some private institutions may conduct their own entrance exams or internal assessments, such as Christ University’s entrance test and interview process.

Exams like DSAT or GSAT are occasionally mentioned in private admission processes; however, publicly available information about their conducting bodies or widespread usage remains limited. Applicants should verify details directly from official college websites.

Top BSc Statistics Colleges in India

The following table highlights some well-known institutions offering BSc Statistics or closely related statistics programmes. Fees vary significantly based on whether the college is government-funded, aided, or private.

BSc Statistics Syllabus: Semester-Wise Subjects & Tools

The BSc Statistics syllabus is structured to develop strong foundations in statistical theory, mathematics, and practical data analysis across six semesters. Early semesters typically introduce descriptive statistics, probability theory, calculus, and basic statistical methods. As students advance, they explore statistical inference, regression analysis, sampling techniques, time series analysis, multivariate statistics, and operations research.

Most universities emphasise practical learning through software tools and real-world datasets. Students commonly work with Excel, R, Python, and SPSS during lab sessions and projects, although the exact tools and subject combinations may vary by university. Final-year electives and dissertation projects allow students to apply statistical techniques to research problems and industry-oriented case studies.

Click here to get an overview of the syllabus for B.Sc. Statistics.

Core Subjects Explained

Descriptive Statistics introduces students to data summarisation, visualisation techniques, and measures such as mean, median, variance, and standard deviation. Probability focuses on probability distributions, random variables, and theoretical concepts including Bayes’ theorem that form the basis of statistical modelling.

Calculus provides mathematical tools such as differential and integral calculus used in optimisation and analytical modelling. Statistical Inference covers hypothesis testing, estimation, regression analysis, and confidence intervals used in data-driven decision-making.

Linear Algebra introduces matrices, vector spaces, and linear transformations that support statistical modelling and computational analysis. Statistical Computing emphasises simulation methods, computational algorithms, and the use of programming tools for analysing large datasets and solving real-world problems.

Career Options & Salary After BSc Statistics

A BSc Statistics degree offers career opportunities across analytics, finance, research, IT services, healthcare analytics, and government sectors. Graduates often begin in data analysis or research-based roles and can move into specialised domains such as data science, actuarial science, risk analytics, or quantitative finance with additional certifications or postgraduate studies.

Entry-level salaries typically range from ₹3–8 LPA, depending on skills, internships, and location. With experience and advanced technical expertise, professionals can progress to senior analytical and consulting roles with significantly higher compensation.

*Higher-end roles such as Quantitative Analyst or Data Scientist usually require advanced skills, certifications, or postgraduate qualifications.

Common Recruiters

• TCS

• Infosys

• Wipro

• Accenture

• Deloitte

• EY

• Genpact

• Nielsen & Market Research Firms

• BFSI & Analytics Companies

Frequently Asked Questions (FAQs)

Written by Amay Mathur

Amay Mathur is an EdTech content and SEO professional with over 4 years of experience in building scalable education content systems. He played a key role in developing the content framework at Chegg, focusing on structure, discoverability, and student intent. Amay actively contributes to editorial education content, ensuring clarity, accuracy, and search-aligned storytelling that helps learners make informed academic decisions.

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