B.Sc.(Major: Statistics)
Education goes beyond textbooks and classrooms. We believe in empowering students to explore their passions challenge conventions.
The Bachelor of Science (B.Sc.) with Major in Statistics at Prerna College of Commerce, Science and Arts, Nagpur is a three-year undergraduate program designed to develop strong analytical, mathematical, and data interpretation skills. The program focuses on the study of statistical methods and their practical applications in various fields such as business, economics, research, and data science.
Program Highlight
B.Sc. (Statistics)
Typical Program Structure
- Course Name: Bachelor of Science (B. Sc. (Major: Statistics)
- Duration: 3 Years (6 Semesters)/ 4 Years (8 Semesters)
- Mode: Full-time undergraduate program
- Eligibility:12th pass (Science stream with mathematics as one of the subjects) from a recognized board
Program Objectives
Critical Thinking
Take informed actions after identifying the assumptions that frame our thinking and actions, checking out the degree to which these assumptions are accurate and valid, and looking at our ideas and decisions (intellectual, organizational, and personal) from different perspectives.
Effective Communication
Speak, read, write, and listen clearly in person and through electronic media in English and in one Indian language, and make meaning of the world by connecting people, ideas, books, media, and technology.
Social Interaction
Elicit views of others, mediate disagreements, and help reach conclusions in group settings.
Effective Citizenship
Demonstrate empathetic social concern and equity-centred national development, and the ability to act with an informed awareness of issues and participate in civic life through volunteering.
Ethics
Recognize different value systems, including your own, understand the moral dimensions of your decisions, and accept responsibility for them.
Environment and Sustainability
Understand the issues of environmental contexts and sustainable development.
Self-directed and Life-long Learning:
Acquire the ability to engage in independent and life-long learning in the broadest context of socio-technological changes
Programme Specific Outcomes (PSOs)
Recall basic facts about statistics and should be able to display knowledge of conventions such as notations and terminology.
Get adequate exposure to global and local concerns that explore many aspects of mathematical sciences.
Be equipped with statistical modelling ability, problem-solving skills, creative talent, and the power of communication necessary for various kinds of employment.
Apply their skills and knowledge that is translate information presented verbally into statistical form, select and use appropriate statistical formulae or techniques to process the information, and draw the relevant conclusion.
Develop a positive attitude towards statistics as an interesting and valuable subject of study.
Acquire basic knowledge of diagrammatic & graphical representation of Data with and without software
| Regular Students | Required Credits |
|---|---|
| Core Courses | 30 Credits |
| Computer Science | 30 Credits |
| Artificial Intelligence | 30 Credits |
| Project and Internship | 30 Credits |
| Total | 120 Credits |
Core Courses
The Science (S) Core develops a strong foundation in scientific principles, analytical thinking, and evidence-based problem-solving These courses introduce students to the fundamental concepts of the natural world while strengthening their abilities to observe, experiment.
| Semester 1 | Courses Code | Core Courses | Credits |
|---|---|---|---|
| Foundations in Communication & Critical Thinking (12 Required Credits) | IBS301 | International Business Management | 3 Credits |
| BUS109 | Introduction to Microeconomics | 3 Credits | |
| MKT200B | Principles of Marketing | 3 Credits | |
| BUS308B | Strategic Management | 3 Credits | |
| Accounting | BUS325B | Introduction to Operations Management & Decision Science | 3 Credits |
| FIN305 | Introduction to Corporate Finance | 3 Credits | |
| BUS110 | Introduction to Macroeconomics | 3 Credits | |
| ACC101 | Introduction to Accounting | 3 Credits | |
| Management | BUS100A | Introduction to Business | 3 Credits |
| BUS211C | People and Organization | 3 Credits |
Science (S) Core
The Science (S) Core develops a strong foundation in scientific principles, analytical thinking, and evidence-based problem-solving These courses introduce students to the fundamental concepts of the natural world while strengthening their abilities to observe, experiment.
| Semester 2 | Courses Code | Science | Credits |
|---|---|---|---|
| Science | PHY 101 | Conceptual Physics | 3 Credits |
| BIO 105 | Introduction to Life Sciences | 3 Credits | |
| PHY 101 | Introduction to Physical Science | 3 Credits | |
| ENV 110 | Environmental Science | 3 Credits | |
| Technology | CS 101 | Digital Foundations and Applied Programming | 3 Credits |
| TECH 205 | Management Information Systems (MIS) | 3 Credits | |
| ENGR 100 | Introduction to Engineering Principles | 3 Credits | |
| DATA 210 | Data Management and Visualization | 3 Credits | |
| Mathematics | MATH 115 | College Algebra and Trigonometry | 3 Credits |
| STAT 201 | Probability and Statistics | 3 Credits |
Business (B) Core
The Business Core, requiring 30 credits (typically eleven 3-credit courses), is the largest component of the foundational curriculum. It ensures students gain a comprehensive, interdisciplinary understanding of the functional areas necessary to operate and manage an organization.
| Semester 3 | Courses Code | Business Core | Credits |
|---|---|---|---|
| Finance | IBS301 | International Business Management | 3 Credits |
| BUS109 | Introduction to Microeconomics | 3 Credits | |
| MKT200B | Principles of Marketing | 3 Credits | |
| BUS308B | Strategic Management | 3 Credits | |
| Accounting | BUS325B | Introduction to Operations Management & Decision Science | 3 Credits |
| FIN305 | Introduction to Corporate Finance | 3 Credits | |
| BUS110 | Introduction to Macroeconomics | 3 Credits | |
| ACC101 | Introduction to Accounting | 3 Credits | |
| Management | BUS100A | Introduction to Business | 3 Credits |
| BUS211C | People and Organization | 3 Credits |
Dr Liladhar Rewatkar
M. Sc. (CS), M. Phil. (CS), Ph.D.
Head, Senior Assistant Professor (Grade 11)
Dr Debasis Das
MCA, M. Sc., MBA, Ph. D.
Assistant Professor
Dr Avinash Hedaoo
M. Sc. (CS), Ph. D. SET
Assistant Professor
Dr Vijay Nikam
MCA, Ph. D.
Assistant Professor
Mr. Chandrashekhar Tople
M.Sc. [CS], SET, B. Ed
Assistant Professor
Ms. Priyanka Chandawar
MCA, NET
Assistant Professor
Ms. Poorva Wagh
MCA, M. Sc. NET
Assistant Professor
Ms. Sharvari Ramteke
M. Sc. (CS) NET
Assistant Professor
Mr. Ajay Nanwatkar
MCA,SET
Assistant Professor
Ms. Neha Samundre
MCM, M. Sc.
Assistant Professor
Ms. Rupali Surve
M. Sc. (CS) M.Phil. B. Ed.
Assistant Professor
Ms. Rajshree K. Akare
MCA
Assistant Professor
Ms. Mrunali A.Nikure
M. Sc. (CS)
Assistant Professor
Ms. Anamika Bhagat
M. Sc. (CS), SET
Assistant Professor
Ms. Nancy Purohit
M. Sc. (CS), MGSC
Assistant Professor
Ms. Shikha Gajbhiye
M. Sc. (Maths)
Assistant Professor
Ms Naina Khokad
MCA
Assistant Professor
Ms. Harshita Nagpure
M. Sc. (CS)
Assistant Professor
Ms. Sneha Ambekar
MCA
Assistant Professor
Ms. Nayana Puri
B. E.
Assistant Professor
Ms. Jyoti Yadav
M. Sc. (Stats)
Assistant Professor
Ms. Mansi Dhenge
MCA
Assistant Professor
Ms. Gitanjali Kale
M. Sc. (CS)
Assistant Professor
Publication
| Sr.No. | Year | Title of Papers | DOI |
|---|---|---|---|
|
1 |
2025 |
Rewatkar L & Awasare P. ‘Customer Churn Prediction from Large Datasets in Python’, STAP Journal, Vol. 11(3), 2025, pp.300-305. |
https://doi.org/24.20089.STAPS.2025.V11.3.01630 |
|
2 |
2025 |
Rewatkar L & Choudhary S. ‘Predicting Disease Outbreak from Healthcare Data Using Python’, STAP Journal, Vol. 11(3), 2025, pp.306-313. |
https://doi.org/24.20089.STAPS.2025.V11.3.01631 |
|
3 |
2025 |
Rewatkar L & Gaikwad S. ‘Customer Purchase Pattern Analysis in Retail Using Power BI’, STAP Journal, Vol. 11(3), 2025, pp.314-322. |
https://doi.org/24.20089.STAPS.2025.V11.3.01632 |
|
4 |
2025 |
Rewatkar L & Rokde S. ‘Visualizing an Interactive Sentiment Analysis Dashboard for Social Media Data with Python’, STAP Journal, Vol. 11(3), 2025, pp.323-329. |
https://doi.org/24.20089.STAPS.2025.V11.3.01633 |
|
5 |
2025 |
Rewatkar L & Khadatkar T. ‘Cloud-based Data Lake Implementation Using Python’, STAP Journal, Vol. 11(3), 2025, pp.330-337 |
https://doi.org/24.20089.STAPS.2025.V11.3.01634 |
| Sr.No | Faculty Name | Books Titles | National / International | ISBN | Publisher |
|---|---|---|---|---|---|
|
1 |
Dr Liladhar Rewatkar, Dr Nirzar Kulkarni, Dr Ujwal Lanjewar & Dr Manjiri Pathak |
Computer Application in Business |
National |
978-93-91322-82-3 |
Alliance & Co., Nagpur |
|
2 |
Dr Liladhar Rewatkar, Dr Nirzar Kulkarni, Dr Ujwal Lanjewar & Dr Manjiri Pathak |
Content Writing |
National |
978-93-91322-90-8 |
Alliance & Co., Nagpur |
|
3 |
Dr Liladhar Rewatkar, Dr Ujwal Lanjewar & Dr Nirzar Kulkarni |
Internet of Things |
National |
978-93-91322-83-0 |
Alliance & Co., Nagpur |
|
4 |
Dr Liladhar Rewatkar, Dr Ujwal Lanjewar & Dr Mahendra Dhore |
Basics of Python |
National |
978-93-91322-83-0 |
Alliance & Co., Nagpur |
|
5 |
Dr Liladhar Rewatkar, Dr Ujwal Lanjewar & Dr Jageshwar Keche |
Desktop Publishing |
National |
978-93-91322-92-2 |
Alliance & Co., Nagpur |
- Name of the Inventor :Dr Liladhar Rewatkar
- Patent Journal Publication Date :3rd June 2022
- Application No. :202221028424 A
- Title of the Invention :Systematic Approach to improve bug life cycle using agile methodology for quality software
- Patent Status : Published
- Name of the Inventor : Dr Liladhar Rewatkar
- Patent Journal Publication Date :9th February 2023
- Application No. :202441033647 A
- Title of the Invention :An e-Authentication system based on Artificial Intelligence, Big Data, and cybersecurity using QR codes and OTPs.
- Patent Status : Published
About Programs Fees
The cost of the B.Sc.(Major: Statistics) program at Prerna College includes tuition fees, examination fees, and other academic charges as prescribed by the institution and affiliated university.
Tuition Fees: Competitive and student-friendly fee structure
Examination & Enrollment Fees: As per RTM Nagpur University norms
Additional Charges: Laboratory, library, and extracurricular activities
| Spring 2025 | Summer 2025 | Fall 2025 | Winter 2025 | Annual | |
|---|---|---|---|---|---|
| 17 weeks | 6 weeks Summer 1 3 Weeks Summer 2 3 Weeks | 16 weeks | 17 weeks Winter 1 3 Weeks Winter 2 3 Weeks | Costs USD | |
| Enrollment Fee (Onetime fee) | $560 | $560* | $660 | ||
| Orientations Fee (Onetime fee) | $159 | $159* | $159 | ||
| Medical Insurance (Yearly) | $68 | $68 | |||
| Tuition | $4,129 | $1,139 | $5,138 | $1,028 | $11,434 |
| Residence | $728 | $364 | $728 | $364 | $2,184 |
| Breakfast Fee | $448 | Not offered | $448 | Not offered | $896 |
| Activity Fee | $100 | $100 | $200 | ||
| Total Fast Year | $6,192 | $1,503 | $7,133 | $1,392 | $16,220 |
| Total Second Year | $5,192 | $1,503 | $7,133 | $1,392 | $15,220 |
Apply Now
Our program costs are designed to remain transparent competitive and accessible for students from diverse backgrounds. Each academic program includes tuition fees, registration charges and essential learning resources ensuring students receive high-quality education and comprehensive academic support Costs may vary based on program type, course load, and mode of study (on-campus, hybrid, or online) We aim to provide exceptional value through modern facilities, expert faculty, and industry aligned curriculum making your investment in education both meaningful and future-focused.
Admissions Requirements
Document Required
- Completed application form
- HSC/12th mark sheet and passing certificate
- SSC/10th mark sheet and passing certificate
- School leaving certificate
- Recent passport-sized photographs
- Caste certificate/category Certificate as per Maharashtra norms (if applicable
- Valid ID proof