About Course
The three-year undergraduate degree known as B.Sc. (PSM) is devoted to the study of statistics as the main subject along with physics and mathematics. Statistics include the gathering, examination, interpretation, presentation, and arranging of numerical data. This field of study employs statistics to address issues in business, society, and science. The study of inference from the data is known as statistics. Additionally, students receive instructions in using several statistical programs for data analysis. There are numerous career options in statistics. Data analysis is a very popular course right now. Statistics and R software are fairly compatible. R, machine learning, and Python are excellent tools for analysing large amounts of data. This level of knowledge is particularly excellent since it provides a strong foundation for harder courses like M.Sc.in Statistics etc. The banking sector and financial firms also offer employment opportunities to Statistics students.
Eligibility Criteria & Duration
Fee Structure
| Academic | Year | Tution Fee | Book Bank | NPTEL | Examination | Fee Total |
|---|---|---|---|---|---|---|
| BACHELOR OF SCIENCE (PSM) | 3 years | 10000 | 1000 | 1100 | Semester Pattern | 21100 |
| BACHELOR OF SCIENCE (PSM) | 3 years | 10000 | 1000 | 1100 | Semester Pattern | 21100 |
Highlight
• Among students one of the best options to select is statistics.
• Variety of options in business, marketing, economics, biology, public health, sports, etc.
• B.Sc. (PSM) is prerequisite for many master’s degree programs.
• This program plays crucial role in knowing simulation.
• Encourages the advancement of research and novel ideas.
• Unit wise assignments & tests.
• Conduction of seminars, conferences and workshops to promote research.
• NPTEL/SWAYAM and NCC are part of our curriculum.
Career Prospects
Statistics is one of the most preferred careers subjects among students.
As statisticians or data analysts, the students may pursue a variety of careers in the areas of :
• Commerce,
• Marketing,
• Economics,
• Biology,
• Public health,
• Sports etc.
This course is also a prerequisite for M.Sc. (Statistics), M.Sc. (Data Science), MCA, and other Masters Degree programmes.
