Bachelor of Science (B.Sc.) Statistics Course Syllabus - Guru Nanak Khalsa College of Arts, Science and Commerce

  • 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.) Statistics syllabus at Guru Nanak Khalsa College of ArtsScience & Commerce(GNKCASC), Mumbai is designed to provide overall knowledge to the students with a strong foundation. Bachelor of Science (B.Sc.) Statistics faculty at Guru Nanak Khalsa College of ArtsScience & Commerce(GNKCASC) specially focus on in-depth learning to relevant subjects. At first semester syllabus of Bachelor of Science (B.Sc.) Statistics at Guru Nanak Khalsa College of ArtsScience & Commerce(GNKCASC), students learn the basics of programme. A strong foundation is very important for comprehensive learning. Bachelor of Science (B.Sc.) Statistics syllabus at Guru Nanak Khalsa College of ArtsScience & Commerce(GNKCASC), Mumbai maintains a balance between theoretical knowledge and practical knowledge.

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

According to syllabus of Bachelor of Science (B.Sc.) Statistics progress, students learn advanced topics and complex concepts. The Bachelor of Science (B.Sc.) Statistics curriculum at Guru Nanak Khalsa College of ArtsScience & Commerce(GNKCASC), Mumbai mainly focuses on analytical and critical thinking. As the Bachelor of Science (B.Sc.) Statistics course unfolds, students develop several important skills that increases their employability. As per syllabus of Bachelor of Science (B.Sc.) Statistics at Guru Nanak Khalsa College of ArtsScience & Commerce(GNKCASC) also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.

Bachelor of Science (B.Sc.) Statistics curriculum at Guru Nanak Khalsa College of ArtsScience & Commerce(GNKCASC) includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Bachelor of Science (B.Sc.) Statistics syllabus at Guru Nanak Khalsa College of ArtsScience & Commerce(GNKCASC) aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.

Additional curriculum at Guru Nanak Khalsa College of ArtsScience & Commerce(GNKCASC)

  1. Workshops and Seminars - Regular sessions with industry experts help Bachelor of Science (B.Sc.) Statistics students at Guru Nanak Khalsa College of ArtsScience & Commerce(GNKCASC) to stay updated with current trends.
  2. Group Projects - Collaborative projects according to Guru Nanak Khalsa College of ArtsScience & Commerce(GNKCASC) syllabus develop teamwork and problem-solving skills.
  3. Case Studies - Bachelor of Science (B.Sc.) Statistics syllabus offers analysis of real-world scenarios to apply theoretical knowledge.
  4. Extracurricular Activities - Guru Nanak Khalsa College of ArtsScience & Commerce(GNKCASC) 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 Guru Nanak Khalsa College of ArtsScience & Commerce(GNKCASC), Mumbai for latest Bachelor of Science (B.Sc.) Statistics curriculum.

Syllabus for B.Sc. in Statistics Course

The Bachelor of Science (B.Sc.) in Statistics program offers a comprehensive curriculum that focuses on the theory, methodology, and practical application of statistical analysis. The syllabus typically includes core courses in probability theory, statistical inference, regression analysis, and experimental design. Students also delve into advanced topics such as multivariate statistics, time series analysis, non-parametric statistics, and statistical software applications. The program often incorporates real-world data analysis, statistical modelling, and research projects, allowing students to develop hands-on skills and gain practical experience in applying statistical methods to solve complex problems across various fields. Graduates of the B.Sc. in Statistics program are well-prepared for careers in data analysis, market research, quality control, finance, social sciences, and academia, as they acquire a strong foundation in statistical principles and the ability to extract valuable insights from data.

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

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

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

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

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

S.noSubjects
1Stochastic Processes and Queuing Theory
2Statistical Computing Using C/C++ Programming                              
3Design of Experiments
4Practical and Lab Work
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