Overview
About the Department
The Department of Statistics was established in 1989. The curriculum is designed to provide academic competence in both theoretical and applied statistics, enhancing the professional objectives of students. It includes classroom lectures, practical assignments, class presentations, seminars, workshops, internships, and both poster and oral presentations on topics related to the syllabus.
The Department of Statistics aims to be a leading centre of excellence by providing high-quality education, fostering higher studies, and preparing students for placements in reputed organizations. It is committed to delivering an effective undergraduate program that integrates strong theoretical and practical training, promotes professional competence, offers industry and community-based exposure, and ensures proficiency in modern data analysis and statistical software.
Facilities
Syllabus
Download Statistics Course StructureFaculty
Guest-Lectures
Blog
Academic Excellence
| 2023 Batch Progressive Report | |||||
| Semester | Fail % | Pass % | First % | Distinction % | Total Strength |
| I | 23 | 77 | 20 | 32 | 53 |
| 2022 Batch Progressive Report | |||||
| Semester | Fail % | Pass % | First % | Distinction % | Total Strength |
| I | 11 | 88 | 13 | 31 | 60 |
| I OE (SM) | 9 | 90 | 12 | 46 | 32 |
| II | 6 | 93 | 17 | 55 | 58 |
| II OE (AS) | 3 | 96 | 6 | 78 | 33 |
| III | 9 | 91 | 56 | 32 | 58 |
| III OE (BS) | 3 | 96 | 12 | 59 | 32 |
| 2021 Batch Progressive Report | |||||
| Semester | Fail % | Pass % | First % | Distinction % | Total Strength |
| I | 0 | 100 | 34 | 46 | 32 |
| I OE(SM) | 6 | 93 | 23 | 40 | 30 |
| II | 9 | 90 | 18 | 56 | 32 |
| II OE(AS) | 0 | 100 | 14 | 70 | 27 |
| III | 6 | 93 | 12 | 75 | 32 |
| III OE | 13 | 86 | 17 | 34 | 23 |
| IV | 3 | 96 | 12 | 53 | 32 |
| V (a) | 0 | 100 | 6 | 75 | 32 |
| V (b) | 0 | 100 | 9 | 65 | 32 |
Alumni
Certificate Courses
- An Introduction to Data Analysis Using Excel
- An Introduction to Data Analysis Using R
- An Introduction to Data Analysis Using Python
Staff Corner
Career Opportunities
Career opportunities
· Higher studies: MSc/MS in Statistics, Mathematics, Data Science, Economics, Econometrics, Computer Science, Artificial Intelligence, Machine learning, Software, Big Data Analytics and Applied Statistics, MA in Economics, MBA, MCA and Research
· Employment sector: IT Industries, Banking Sector, Teaching and Academics
· Professional role : Statistician, Data Scientist, Data Analyst, Financial Analyst, Data manager, Actuarial Analyst, Market Research Analyst and Operation Research Analyst, Web Developer, AI Engineer, Analytics Consultant, Computer Programmer, Application Developer, Information Security Analyst, Mathematics, Statistics and Computer Science and Statistics Professor
Industrial Visit
|
S.No |
Type of Activity |
Relevance |
Level |
Details of the activities |
|
1 |
Alumni Interaction |
Skill Development |
Regional |
Topic: "Campus to Career" Resource Person: Ms Gauthami C S, Associate Data Scientist, NielsenIQ, Pune Date: 17-07-2025 Venue: Sanidhya Participants: 105 students of BSc Statistics |
|
2 |
Alumni Interaction |
NA |
Regional |
Topic: "Beyond Windmills and Canals" Resource Person: Mr Ron Dsilva, Student of MSc Data Science in Decision Making at Maastricht University, Netherlands Date: 01-08-2025 Venue: X 601 Participants: 115 students of BSc Statistics |
|
3 |
Alumni Interaction |
Skill Development |
Regional |
Topic: "Science your way to Success" Resource Person: Mr Abhay Bharath Bisht, Data Scientist, ADA Global Bangalore Date: 09-08-2025 Venue: X 604 Participants: 90 students of BSc Statistics. |
B.Sc Statistics
This programme is vigorous and application oriented under graduate degree that focuses on the collection, analysis, interpretation of data for informed decision making. The objective of the programme is to develop strong analytical, quantitative and problem-solving skills while providing a solid foundation in statistical theory, mathematics, probability and data analysis tools. A unique feature of the programme is its balanced integration of theoretical concepts with practical exposure through statistical software, real word data set, project, and research-oriented learning. The programme offers wide academic an professional scope, preparing graduates for higher studies, career in data analytics, biostatistics, economics, finance, market research. Government services, healthcare and emerging data driven industry, making it highly relevant in today’s evidence based and technology driven world.
B.Sc Statistics - Eligibility
Required qualification: Pre- university course or equivalent courses in any stream
Subject prerequisite: Basic mathematics knowledge
B.Sc Statistics - Career Opportunities
· Higher studies: MSc/MS in Statistics, Mathematics, Data Science, Economics, Econometrics, Computer Science, Artificial Intelligence, Machine learning, Software, Big Data Analytics and Applied Statistics, MA in Economics, MBA, MCA and Research
· Employment sector: IT Industries, Banking Sector, Teaching and Academics
· Professional role : Statistician, Data Scientist, Data Analyst, Financial Analyst, Data manager, Actuarial Analyst, Market Research Analyst and Operation Research Analyst, Web Developer, AI Engineer, Analytics Consultant, Computer Programmer, Application Developer, Information Security Analyst, Mathematics, Statistics and Computer Science and Statistics Professor
B.Sc Statistics - Program Combinations
- B.Sc. – Physics, Statistics, Mathematics
- B.Sc. - Computer Science, Statistics, Mathematics
- B.Sc. - Statistics, Computer Science, Economics
- B.Sc. - Statistics, Economics, Mathematics
