B.Sc Applied Statistics & Data Science

Bachelor of Science Applied Statistics with Data Science (Honours) - B.Sc Applied Statistics & Data Science

The B.Sc Applied Statistics & Data Science program at the University of Calicut is a three-year undergraduate course designed to provide students with a strong foundation in statistical theory, methods, and real-world data applications. Structured under the Choice Based Credit and Semester System (CBCSS), the program combines statistical concepts with essential data science tools and techniques. The B.Sc Applied Statistics & Data Science course focuses on both theoretical knowledge and practical skills, preparing students for careers in data analysis, research, and technology-driven industries.

B.Sc Applied Statistics & Data Science Course Overview & Curriculam

Program Overview

  • Duration: 3 years (6 semesters)

  • Eligibility: Candidates who have passed the Higher Secondary Examination (Plus Two) of the Kerala State Board or any equivalent examination with Mathematics or Statistics as one of the subjects are eligible for admission.

  • Medium of Instruction: English

  • Program Structure: The curriculum includes core statistics courses, complementary subjects (such as Mathematics and Actuarial Science), and practical sessions.

Curriculum Structure

The B.Sc Statistics program encompasses a blend of core subjects, complementary courses, and practical sessions:

  • Core Subjects:

    • Descriptive Statistics and Probability

    • Probability Distributions

    • Statistical Inference

    • Sampling Theory

    • Time Series Analysis

    • Index Numbers

    • Statistical Computing

    • Regression Analysis

    • Design of Experiments

    • Operations Research

  • Complementary Subjects:

    • Mathematics

    • Actuarial Science

  • Practical Sessions:

    • Statistical Computing using R: Students gain hands-on experience in data analysis, statistical modeling, and graphical representation using the R programming language.

    • Use of MS Excel: Training in data analysis techniques using Excel, including hypothesis testing, regression analysis, and non-parametric tests

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