Bachelor of Science (B.Sc. Hons.) in Statistics Course Syllabus - Lady Shri Ram College For Women (LSR), New Delhi

  • Years 3 Years
  • Type Course Under Graduate
  • stream Science
  • Delivery Mode
  • university verified
Written By universitykart team | Last updated date Jul, 07, 2024

The Bachelor of Science (B.Sc. Hons.) in Statistics syllabus at Lady Shri Ram College For Women (LSR), New Delhi is designed to provide overall knowledge to the students with a strong foundation. Bachelor of Science (B.Sc. Hons.) in Statistics faculty at Lady Shri Ram College For Women (LSR) specially focus on in-depth learning to relevant subjects. At first semester syllabus of Bachelor of Science (B.Sc. Hons.) in Statistics at Lady Shri Ram College For Women (LSR), students learn the basics of programme. A strong foundation is very important for comprehensive learning. Bachelor of Science (B.Sc. Hons.) in Statistics syllabus at Lady Shri Ram College For Women (LSR), New Delhi maintains a balance between theoretical knowledge and practical knowledge.

Bachelor of Science (B.Sc. Hons.) in Statistics first year students at Lady Shri Ram College For Women (LSR) are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. Lady Shri Ram College For Women (LSR), New Delhi also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Bachelor of Science (B.Sc. Hons.) in Statistics syllabus at Lady Shri Ram College For Women (LSR), New Delhi is also frequently updated to give industry relevant training and knowledge to students. Lady Shri Ram College For Women (LSR) strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at Lady Shri Ram College For Women (LSR) enable Bachelor of Science (B.Sc. Hons.) in Statistics students to apply knowledge and skills in a controlled environment and get required experience.

According to syllabus of Bachelor of Science (B.Sc. Hons.) in Statistics progress, students learn advanced topics and complex concepts. The Bachelor of Science (B.Sc. Hons.) in Statistics curriculum at Lady Shri Ram College For Women (LSR), New Delhi mainly focuses on analytical and critical thinking. As the Bachelor of Science (B.Sc. Hons.) in Statistics course unfolds, students develop several important skills that increases their employability. As per syllabus of Bachelor of Science (B.Sc. Hons.) in Statistics at Lady Shri Ram College For Women (LSR) also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.

Bachelor of Science (B.Sc. Hons.) in Statistics curriculum at Lady Shri Ram College For Women (LSR) includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Bachelor of Science (B.Sc. Hons.) in Statistics syllabus at Lady Shri Ram College For Women (LSR) aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.

Additional curriculum at Lady Shri Ram College For Women (LSR)

  1. Workshops and Seminars - Regular sessions with industry experts help Bachelor of Science (B.Sc. Hons.) in Statistics students at Lady Shri Ram College For Women (LSR) to stay updated with current trends.
  2. Group Projects - Collaborative projects according to Lady Shri Ram College For Women (LSR) syllabus develop teamwork and problem-solving skills.
  3. Case Studies - Bachelor of Science (B.Sc. Hons.) in Statistics syllabus offers analysis of real-world scenarios to apply theoretical knowledge.
  4. Extracurricular Activities - Lady Shri Ram College For Women (LSR) offers several activities like sports, clubs, societies, etc. to encourage overall development.

Note: Given below syllabus is based on the available web sources. Please verify with the Lady Shri Ram College For Women (LSR), New Delhi for latest Bachelor of Science (B.Sc. Hons.) in Statistics curriculum.

Syllabus for Bachelor of Science (B.Sc. Hons.) in Statistics Course

The Bachelor of Science (B.Sc. Hons.) in Statistics program offers a comprehensive syllabus that covers a broad spectrum of foundational and advanced topics in statistics and data analysis. Core courses typically include statistical theory, probability theory, mathematical statistics, and statistical computing. Students delve into subjects such as regression analysis, experimental design, and multivariate statistics. Advanced coursework often explores specialized areas such as time series analysis, nonparametric statistics, and Bayesian statistics. Practical components may involve data analysis projects, statistical software applications, and hands-on experience with statistical tools. Additionally, students may have the opportunity to choose elective courses to tailor their studies to specific interests like data science, biostatistics, or business analytics. This rigorous and quantitative curriculum equips graduates with the statistical expertise and analytical skills needed for careers in data analysis, research, financial modelling, and decision-making across various sectors, where they can play a crucial role in solving complex problems and making data-driven decisions.

1st Year OR 1st & 2nd Semester Syllabus of Bachelor Of Science (B.Sc. Hons.) Statistics

S.noSubjects
1Descriptive Statistics 
2Calculus
3Probability and Probability Distributions                                                                                    
4Algebra

2nd Year OR 3rd & 4th Semester Syllabus of Bachelor Of Science (B.Sc. Hons.) Statistics

S.NoSubjects
1Sampling Distributions 
2Survey Sampling and Indian Official Statistics                                                                            
3Mathematical Analysis
4Statistical Inference
5Linear Models
6Statistical Quality Control

3rd Year OR 5th & 6th Semester Syllabus of Bachelor Of Science (B.Sc. Hons.) Statistics

S.noSubjects
1Stochastic Processes and Queuing Theory
2Statistical Computing Using C/C++ Programming                                                          
3Design of Experiments
4Multivariate Analysis and Nonparametric Methods
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