B.Sc. (Hons.) Statistics with Mathematics/Computer Science Course 2026: Admission, Fees, Syllabus, Eligibility and Career Scope | Integral University Lucknow
B.Sc. (Hons.) Statistics with Mathematics/Computer Science Admission 2026 at Integral University Lucknow

B.Sc. (Hons.) Statistics with Mathematics/Computer Science Admission 2026 at Integral University Lucknow


Introduction

The B.Sc. (Hons.) Statistics with Mathematics/Computer Science is a four-year undergraduate degree program offered by the Department of Mathematics and Statistics at Integral University. The program focuses on statistical theory and its practical applications alongside mathematics or computer science. It prepares students for careers in data analysis, research, and industries requiring strong quantitative skills.

Statistics is the science of learning from data. In today's data-driven world, statisticians are essential in every sector. From finance to healthcare, from e-commerce to government, the ability to analyze and interpret data is in high demand. This program combines the power of statistics with either mathematics or computer science. This combination makes graduates highly employable.

The program follows the National Education Policy 2020. It offers a flexible 3+1 year structure. Students can exit after three years with a B.Sc. degree or continue for the fourth year for research and specialization.

Why Choose B.Sc. (Hons.) Statistics at Integral University?

Choosing this program at Integral University is a smart decision for 2026. Here are the top reasons:

  • High Demand: Every industry needs data experts. Data science roles are projected to grow by 22.8% in the coming years.
  • Attractive Salary: Starting salaries range from INR 4 LPA to 8 LPA. With experience, salaries can go up to INR 15 LPA or more.
  • Diverse Career Options: Work in data science, business analytics, market research, actuarial science, government planning, and research organizations.
  • Research Opportunities: Pursue a PhD after the course. Integral University has strong research collaborations.
  • Global Recognition: Statistics and data science are valued worldwide.
  • Skill Development: Learn programming, machine learning, statistical modeling, and data visualization.
  • State-of-the-Art Labs: Access to modern computing facilities with the latest statistical software.
  • Experienced Faculty: Learn from industry experts and researchers.
  • Industry Connect: Regular guest lectures, workshops, and seminars from leading statisticians.
  • Affordable Fees: Quality education at a reasonable cost of ₹45,000 per year.
  • Flexible Structure: The 3+1 year structure follows NEP 2020.

Who Should Pursue This Course?

This course is perfect for students who:

Have a background in mathematics, statistics, or computer science.
Enjoy solving complex problems.
Want a career in data science and analytics.
Are interested in research and analysis.
Want to work in the IT, finance, or healthcare sectors.
Have a logical and analytical mindset.
Enjoy working with numbers and data.
Want to pursue higher studies in statistics or related fields.

The Growing Importance of Statistics in 2026

In 2026, data is everywhere. Every click, every purchase, every interaction generates data. Companies need experts who can make sense of this data. Statisticians are the people who can do this. They can find patterns, predict trends, and solve problems.

The field of statistics is evolving. It now includes machine learning, artificial intelligence, and big data analytics. This program prepares you for these emerging fields. You will learn to use tools like R, Python, and SQL. You will be ready to work in one of the most exciting and fastest-growing sectors.

B.Sc. (Hons.) Statistics Admission 2026 at Integral University

The B.Sc admission 2026 process at Integral University is transparent and student-friendly.

Eligibility Criteria for 2026

Requirement Details
Educational Qualification 10+2 examination from a recognized board
Required Subjects Physics, Chemistry, and Mathematics/Biology
Minimum Marks 50% aggregate marks
Relaxation As per university norms for reserved categories
Entrance Exam Integral University Entrance Test (IUET) 2026

Selection Process for 2026

  • IUET 2026: Candidates must be successful in the Integral University Entrance Test.
  • Merit-Based: Merit-based selection is also considered for eligible candidates.
  • Counseling: Final selection through counseling rounds.

How to Apply for B.Sc. Admission 2026

  1. Visit the official Integral University website.
  2. Fill the online application form for 2026.
  3. Upload academic certificates and documents.
  4. Pay the application fee online.
  5. Submit the form before the deadline.

B.Sc. (Hons.) Statistics Fees 2026

The fees for the B.Sc. (Hons.) Statistics program at Integral University are affordable compared to other private universities.

Fee Component Amount
Yearly Tuition ₹45,000 per year
Total Course Fee (4 years) ₹1,80,000
One-Time Admission Fee As per university norms
Examination Fees As per university norms

The fees may change as per university rules. Scholarships are available for deserving students. Students can also apply for education loans.

B.Sc. (Hons.) Statistics Syllabus 2026: Semester-Wise Breakdown

The B.Sc. Statistics syllabus at Integral University is comprehensive and updated for 2026. The program is divided into eight semesters under the 3+1 year structure. It covers core and elective subjects. Students also complete a research project in the final year.

Semester I: Foundation Subjects

Subject Code Subject Name Description Credits
STA-101 Descriptive Statistics Measures of central tendency, dispersion, and skewness 4
STA-102 Probability Theory Basic probability, random variables, and distributions 4
STA-103 Calculus I Limits, continuity, differentiation, and integration 4
STA-104 Programming in C Introduction to programming and problem-solving 4
STA-105 Practical Lab I Statistical methods and C programming lab 2

Detailed Syllabus for Semester I:

  • Descriptive Statistics: Measures of central tendency (mean, median, mode), measures of dispersion (range, variance, standard deviation), moments, skewness, and kurtosis. Graphical representation of data.
  • Probability Theory: Sample space, events, axioms of probability, conditional probability, independence, Bayes' theorem. Random variables and their probability distributions.
  • Calculus I: Limits and continuity, derivatives, applications of derivatives, integration, and applications of integration.
  • Programming in C: Basic programming concepts, loops, arrays, functions, pointers, and file handling.
  • Practical Lab I: Data analysis using statistical software. C programming exercises.

Semester II: Advanced Concepts

Subject Code Subject Name Description Credits
STA-201 Random Variables and Mathematical Expectations Discrete and continuous random variables, expectation, variance 4
STA-202 Calculus II Multivariable calculus, partial derivatives, multiple integrals 4
STA-203 Data Structures Arrays, linked lists, stacks, queues, and trees 4
STA-204 Discrete Mathematics Sets, relations, functions, combinatorics, and graph theory 4
STA-205 Practical Lab II Data structures and calculus lab 2

Detailed Syllabus for Semester II:

  • Random Variables and Mathematical Expectations: Discrete and continuous random variables, probability mass and density functions, cumulative distribution functions, expectation, variance, moment generating functions.
  • Calculus II: Functions of several variables, partial derivatives, chain rule, maxima and minima, multiple integrals, and their applications.
  • Data Structures: Arrays, linked lists, stacks, queues, trees, and graphs. Operations on data structures.
  • Discrete Mathematics: Sets, relations, functions, Boolean algebra, combinatorics, and graph theory.
  • Practical Lab II: Implementation of data structures in C. Statistical calculations.

Semester III: Core Statistical Theory

Subject Code Subject Name Description Credits
STA-301 Theoretical Discrete Distributions Binomial, Poisson, negative binomial, and geometric distributions 4
STA-302 Theoretical Continuous Distributions Normal, exponential, gamma, and beta distributions 4
STA-303 Inferential Statistics Estimation and testing of hypotheses 4
STA-304 Linear Algebra Matrices, eigenvalues, and eigenvectors 4
STA-305 Practical Lab III Statistical inference and linear algebra lab 2

Detailed Syllabus for Semester III:

  • Theoretical Discrete Distributions: Binomial distribution, Poisson distribution, negative binomial distribution, geometric distribution, and their applications.
  • Theoretical Continuous Distributions: Normal distribution, exponential distribution, gamma distribution, beta distribution, and their applications.
  • Inferential Statistics: Point estimation, interval estimation, hypothesis testing, type I and type II errors, and p-values.
  • Linear Algebra: Vector spaces, matrices, determinants, eigenvalues, eigenvectors, and applications in statistics.
  • Practical Lab III: Statistical inference using R. Linear algebra computations.

Semester IV: Advanced Statistical Methods

Subject Code Subject Name Description Credits
STA-401 Theory of Sampling Simple random sampling, stratified sampling, and cluster sampling 4
STA-402 Design of Experiments ANOVA, factorial designs, and blocking 4
STA-403 Regression Analysis Simple and multiple linear regression 4
STA-404 Numerical Analysis Numerical methods using Python 4
STA-405 Practical Lab IV Sampling, experiments, and regression lab 2

Detailed Syllabus for Semester IV:

  • Theory of Sampling: Simple random sampling, stratified sampling, systematic sampling, cluster sampling, ratio and regression estimators, sample size determination.
  • Design of Experiments: Completely randomized design, randomized block design, Latin square design, factorial experiments, fractional factorial designs.
  • Regression Analysis: Simple linear regression, multiple linear regression, estimation of parameters, testing of hypotheses, prediction, and residual analysis.
  • Numerical Analysis: Numerical integration, numerical differentiation, solving linear equations, interpolation, curve fitting, and optimization.
  • Practical Lab IV: Sampling and experimental design using statistical software. Regression analysis using R and Python.

Semester V: Applied Statistics and Specialization

Subject Code Subject Name Description Credits
STA-501 Applied Statistics Time series analysis, index numbers, and quality control 4
STA-502 Operations Research Linear programming, optimization, and simulation 4
STA-503 Elective I Machine Learning or Data Mining or Econometrics 4
STA-504 Elective II Survival Analysis or Actuarial Statistics or Big Data Analytics 4
STA-505 Practical Lab V Applied statistics and electives lab 2

Detailed Syllabus for Semester V:

  • Applied Statistics: Time series analysis (ARIMA models, forecasting), index numbers, statistical quality control (control charts, acceptance sampling).
  • Operations Research: Linear programming (simplex method, duality), transportation problem, assignment problem, network models, dynamic programming, game theory.
  • Machine Learning: Supervised and unsupervised learning, classification, regression, clustering, PCA, SVM, decision trees, neural networks. Practical applications using Python.
  • Data Mining: Data preprocessing, association rules, clustering, classification, anomaly detection.
  • Econometrics: Regression analysis, multicollinearity, heteroscedasticity, autocorrelation, simultaneous equations models.
  • Survival Analysis: Kaplan-Meier estimator, Cox proportional hazards model, log-rank test. Applications in healthcare.
  • Actuarial Statistics: Life tables, mortality, and insurance mathematics.
  • Big Data Analytics: Hadoop, Spark, and cloud platforms.
  • Practical Lab V: Applied statistics using statistical software. Machine learning and data mining using Python.

Semester VI: Advanced Topics and Project Preparation

Subject Code Subject Name Description Credits
STA-601 Multivariate Analysis Factor analysis, cluster analysis, MANOVA 4
STA-602 Nonparametric Inference Rank tests, distribution-free methods 4
STA-603 Research Methodology Research methods and thesis writing 2
STA-604 Elective III Deep Learning or Optimization Techniques or Financial Mathematics 4
STA-605 Practical Lab VI Multivariate and nonparametric lab 2

Detailed Syllabus for Semester VI:

  • Multivariate Analysis: Multivariate normal distribution, principal component analysis, factor analysis, discriminant analysis, cluster analysis, MANOVA. Applications in data science.
  • Nonparametric Inference: Sign test, Wilcoxon tests, Mann-Whitney test, Kolmogorov-Smirnov test, Spearman's rank correlation, nonparametric regression.
  • Research Methodology: Research design, literature review, data collection methods, sampling, hypothesis formulation, research report writing. Ethics in research.
  • Deep Learning: Neural networks, backpropagation, convolutional neural networks (CNN), recurrent neural networks (RNN), deep learning frameworks (TensorFlow, PyTorch).
  • Optimization Techniques: Convex optimization, gradient descent, constrained optimization. Applications in machine learning.
  • Financial Mathematics: Time value of money, bonds, stocks, option pricing, risk management, stochastic calculus.
  • Practical Lab VI: Multivariate analysis using statistical software. Nonparametric tests.

Semester VII & VIII: Research and Dissertation (Honours Year)

The final year focuses on independent research. This is the honours year where students develop advanced research skills.

Semester Subject Description Credits
Semester VII Research Project (Part I) Literature review, methodology, and data collection 6
Semester VII Seminar I Presentation on research topic 2
Semester VII Elective IV Advanced Statistical Inference or Stochastic Processes 4
Semester VIII Research Project (Part II) Data analysis, dissertation writing, and final submission 6
Semester VIII Seminar II Final presentation of research findings 2

Detailed Syllabus for Semester VII & VIII:

  • Research Project: Students work on a real-world statistical problem. They conduct literature review, design experiments, collect data, and analyze results. The project can be in data science, finance, healthcare, marketing, agriculture, or social sciences.
  • Electives: Students can choose advanced courses in their area of interest. This allows specialization.
  • Seminar: Students present their research findings to faculty and peers. This develops communication and presentation skills.
  • Dissertation: Students write a comprehensive dissertation on their research topic.

B.Sc. (Hons.) Statistics Career Opportunities 2026

The B.Sc. Statistics career scope is vast in 2026. Graduates can work in many sectors. Here are the top job roles.

Job Roles and Responsibilities for 2026

Job Role Key Responsibilities Average Salary (INR LPA)
Data Analyst Analyze data, create reports, and visualize trends 4 - 8
Statistician Design surveys, collect data, and interpret results 4 - 9
Data Scientist Build predictive models and develop AI solutions 6 - 12
Business Analyst Use data to support business decisions and strategy 5 - 10
Market Research Analyst Study market trends and consumer behavior 4 - 8
Actuarial Analyst Assess financial risks and work in insurance 5 - 12
Operations Analyst Improve business processes using analytics 5 - 10
Machine Learning Engineer Build and deploy ML models 7 - 15
Quantitative Analyst Work in finance, manage risk, and develop algorithms 8 - 18

Top Recruiting Sectors in 2026

  • Banking and Finance: ICICI Bank, HDFC, Axis Bank, SBI, investment banks, hedge funds
  • IT and Tech: TCS, Infosys, Wipro, Amazon, Flipkart, Google, Microsoft, IBM
  • Consulting: PwC, KPMG, Accenture, McKinsey, Deloitte, EY
  • Government: RBI, UPSC, Indian Statistical Service, NSSO, CSO
  • Healthcare: Pharmaceutical companies, hospitals, research institutes, clinical research organizations
  • Market Research: IMRB Kantar, Nielsen, Ipsos, GfK
  • Education and Research: Universities, research institutes, think tanks
  • E-commerce: Amazon, Flipkart, Myntra, Nykaa

Top Recruiters

Company Name Sector Role Offered
Amazon E-commerce Data Analyst, Business Analyst
Flipkart E-commerce Data Scientist, Analyst
TCS IT Services Data Analyst, Statistician
Infosys IT Services Data Scientist, Business Analyst
Wipro IT Services Machine Learning Engineer
ICICI Bank Banking Quantitative Analyst, Risk Analyst
HDFC Bank Banking Data Analyst, Statistician
Accenture Consulting Data Analyst, Consultant
PwC Consulting Statistician, Analyst
KPMG Consulting Data Scientist, Analyst
IBM IT and Consulting Data Scientist, Machine Learning Engineer
Capgemini IT Services Data Analyst, Statistician

B.Sc. Statistics Salary in India 2026

Experience Level Salary Range (INR LPA)
Fresher (0-2 years) 4 - 8
Mid-Level (3-5 years) 8 - 15
Senior-Level (5+ years) 15 - 25
Expert-Level (8+ years) 30+

Factors Affecting Salary:

  • Skills: Knowledge of machine learning, Python, and big data tools increases salary
  • Location: Metro cities offer higher salaries
  • Company Reputation: Top MNCs and tech companies pay more
  • Experience: Salary grows exponentially with experience
  • Industry: Finance and tech sectors pay the highest
  • Certifications: Additional certifications in data science or AI boost earning potential

Placement Support at Integral University

Integral University provides 100% placement support. Our Training and Placement Cell works hard to get you the best jobs in 2026.

Placement Activities

Campus Drives: Top companies visit our campus every year
Internships: Students get mandatory internships at reputed companies
Skill Workshops: We organize workshops on soft skills and aptitude
Mock Interviews: Practice interviews to build confidence
Resume Building: Learn to create professional resumes
Industry Connect: Regular guest lectures from industry experts
Career Counseling: Personalized career guidance for each student
Placement Training: Training on group discussions, technical interviews, and HR interviews

Placement Statistics

  • Placement Rate: 70% to 90% of students get placed
  • Highest Package: INR 12 LPA to 15 LPA
  • Average Package: INR 5 LPA to 8 LPA
  • Top Recruiters: Amazon, Flipkart, ICICI Bank, TCS, Accenture, PwC

Top Skills to Learn During Your B.Sc. Statistics

To get a good career in 2026, you need to upskill. Here are the top skills you should master.

Technical Skills

R Python SQL Machine Learning Tableau Power BI ggplot Hadoop Spark Cloud Platforms Deep Learning TensorFlow SAS SPSS Minitab NoSQL Data Mining Time Series Analysis Optimization

Soft Skills

  • Communication: Ability to explain complex data to non-technical stakeholders
  • Problem-Solving: Critical thinking and analytical skills
  • Teamwork: Working effectively in teams
  • Time Management: Meeting deadlines
  • Continuous Learning: Staying updated with new technologies
  • Business Acumen: Understanding business needs

Frequently Asked Questions (FAQs)

1. What is the B.Sc. (Hons.) Statistics full form?

It stands for Bachelor of Science Honours in Statistics.

2. What is the duration of the course at Integral University?

It is a four-year undergraduate program (3+1 years).

3. What is the eligibility for B.Sc. admission 2026?

You need 10+2 with Physics, Chemistry, and Mathematics/Biology with 50% marks.

4. Is there an entrance exam for B.Sc. admission 2026?

Yes, candidates have to be successful in IUET 2026.

5. What is the B.Sc. Statistics syllabus at Integral University?

The syllabus covers descriptive statistics, probability, statistical inference, sampling, regression analysis, machine learning, and a research project.

6. What is the annual fee for the course?

The annual fee is ₹45,000.

7. What are the career options after B.Sc. Statistics?

You can become a Data Analyst, Statistician, Data Scientist, Business Analyst, or Market Research Analyst.

8. Can I get a government job after B.Sc. Statistics?

Yes, you can apply for RBI, UPSC, and Indian Statistical Service exams.

9. Does Integral University provide hostel facilities?

Yes, we provide affordable hostel accommodation for students.

10. What is the scope of B.Sc. Statistics in India in 2026?

The scope is huge because of the growing IT and analytics industry.

11. Can I do a PhD after B.Sc. Statistics?

Yes, you can pursue a PhD in Statistics or related fields.

12. What is the admission procedure for B.Sc. at Integral University?

Admission is based on IUET 2026 performance.

13. What are the PG courses admission 2026 options after B.Sc. Statistics?

You can pursue M.Sc. Statistics, M.Sc. Data Science, or MBA Analytics.

14. What is the B.Sc. Statistics with Computer Science combination?

You study computer science concepts like programming and data structures alongside statistics.

15. What is the B.Sc. Statistics with Mathematics combination?

You study advanced mathematics like calculus, linear algebra, and numerical analysis alongside statistics.

16. What are the best B.Sc. Statistics subjects for 2026?

Machine Learning, Data Science, and Multivariate Analysis are highly valued.

17. Is mathematics compulsory for B.Sc. Statistics?

Yes, you need a strong background in mathematics.

18. Why choose Integral University for B.Sc. Statistics?

We offer modern labs, experienced faculty, excellent placement support, and an affordable fee structure.

19. What is the 2026 B.Sc. admission last date?

The last date is announced on the official website. Check regularly for updates.

20. Does Integral University offer B.Sc. (Hons.) Mathematics as well?

Yes, B.Sc. (Hons.) Mathematics with Physics/Chemistry/Statistics/Computer Science is also available.

21. What is the NEP 2020 structure?

It is a flexible 3+1 year structure with research in the final year.

22. Can I exit after 3 years?

Yes, you can exit with a B.Sc. degree after three years.

23. What is the honours year about?

The fourth year focuses on research and dissertation. It develops advanced research skills.

24. What are the research areas in B.Sc. Statistics?

Research areas include data science, machine learning, econometrics, biostatistics, and operations research.

25. Does the course include internships?

Yes, students have to complete mandatory internships.

26. What are the soft skills developed?

Communication, problem-solving, teamwork, and analytical skills are developed.

27. What is the placement support at Integral University?

We provide 100% placement support with campus drives and skill workshops.

28. What is the average salary for B.Sc. Statistics graduates?

The average salary is INR 5 LPA to 8 LPA.

29. What is the highest package offered?

The highest package is INR 12 LPA to 15 LPA.

30. How can I apply for B.Sc. at Integral University?

Visit the official website and fill the online application form for 2026.

Conclusion

B.Sc. (Hons.) Statistics with Mathematics/Computer Science from Integral University is your gateway to a high-paying career in data science and analytics in 2026. The program combines theoretical knowledge with practical skills. It opens doors to top companies and high salaries. With the demand for data experts growing every day, this degree is a smart investment in your future. The comprehensive curriculum, experienced faculty, and excellent placement support make Integral University the ideal choice for your B.Sc. journey.

APPLY NOW
ENQUIRE NOW