Department of Statistics
I. Overview of the Department
About the Department
The Department of Statistics at Andhra Mahila Sabha Arts & Science College was established in 1995 and stands as a pillar of academic excellence, fostering analytical thinking and a deep understanding of statistical principles. Established with the aim of providing students with a robust foundation in statistics, the department is committed to nurturing the analytical capabilities of its students, equipping them with the tools required to solve real-world problems through data analysis and statistical methods.
The department offers undergraduate programmes that cover various branches of statistics, including probability theory, statistical inference, applied statistics, and data analytics. The curriculum is periodically updated to meet the evolving demands of industries and research, integrating modern tools and technologies like statistical software packages to enhance students’ learning experiences.
A four-year UG Programme BSc (Honors) in Computer Science was introduced in 2023.
Vision
To be recognised as a premier educational institution that practices quality methods of teaching, encourages innovation and research, providing a vibrant environment for the holistic development of students into valuable global citizens.
Mission
By strengthening the teaching-learning process through innovative practices, the institution will stimulate the spirit of scientific enquiry and discovery in academics. The institute will also impart training in entrepreneurial and life skills for enhancing employability.
Objectives
- To provide students with a strong foundation in statistical theory and methods through engaging and interactive learning experiences.
- To develop independent thinking and problem-solving skills by encouraging analytical approaches to real-world problems.
- To equip students with proficiency in using modern statistical software and tools for data analysis.
- To inform students about various career paths in statistics and related fields and support their pursuit of further education.
- To promote collaborative research opportunities that advance statistical knowledge and methodologies.
- To offer professional statistical services and expertise to the college and local community.
Best Practices
- Mentoring and Buddying
- Feedback analysis done by the Department
- Gandhi Bhavan Meetings
- Certificate Courses
- Guest Lectures
- Use of Statistical Software
- Conducting Seminars and Workshops
Innovative Ideas
- Staff incorporate ICT learning
- Alumnus Literacy Circle (ALC)
- Quantum club
- Online Learning Platforms
- Data Visualization Competitions
- Real-Life Statistics Workshops
Uniqueness
- Inviting Guest Faculty
- Conducting Workshop and seminars on advanced topics
- Teaching statistics to non-statistics background students
- Providing Skill Enhancement courses to increase their knowledge, talents, and abilities for future industry needs.
Programmes Offered
S.No |
Programmes |
1 |
BSc (Mathematics, Statistics & Computer Science) |
2 |
BSc (Honors) in Computer Science |
Programme Objectives (PO’s)
The B.Sc. (MSCs) program, combining Mathematics, Statistics, and Computer Science, is designed to provide a comprehensive education that equips students with a strong foundation in three highly complementary disciplines. The program aims to foster critical thinking, quantitative analysis, and computational skills that prepare students for a range of careers in industries like data science, information technology, research, finance, and more.
Programme Outcomes (PO’s)
- Strong Foundation: Students will gain a good understanding of mathematics, statistics, and computer science, both in theory and practical applications.
- Problem-Solving Skills: They will learn how to solve real-world problems by using math, analyzing data, and programming.
- Technical Expertise: Students will become skilled in programming languages, statistical software, and mathematical tools needed for professional work.
- Data Analysis: They will be able to collect, interpret, and analyze data, using it to make smart decisions or predictions in various fields.
- Communication and Teamwork: Students will be able to explain complex ideas clearly to others and work well in teams.
- Adaptability: They will learn to keep up with new technology and continue learning throughout their careers.
- Ethical Responsibility: Students will understand the importance of using technology and data in an ethical and responsible way.
- Career and Higher Studies Preparation: The program will prepare students for jobs in fields like IT, data analysis, and finance, or for further studies in related subjects.
Programme Specific Outcomes (PSO’s)
- Mathematical Proficiency: Graduates will apply advanced mathematical concepts and techniques to analyze and solve real-world problems, demonstrating critical thinking and analytical skills.
- Statistical Competence: Students will effectively collect, analyze, and interpret data using various statistical methods and tools, facilitating informed decision-making in diverse contexts.
- Programming and Software Development: Graduates will be proficient in multiple programming languages and software development practices, enabling them to create applications and solve computational problems.
- Data Analysis and Visualization: Students will utilize data analysis techniques and visualization tools to present complex information in an understandable and actionable manner.
- Interdisciplinary Integration: Graduates will integrate knowledge from mathematics, statistics, and computer science to address interdisciplinary challenges effectively.
- Research and Innovation Skills: Students will demonstrate the ability to conduct research, engage in scientific inquiry, and innovate within their fields of study.
- Professional Ethics and Social Responsibility: Graduates will understand the ethical implications of their work and demonstrate responsible practices in data handling and technology usage.
- Preparation for Advanced Studies: Students will be equipped with the foundational knowledge and skills necessary for pursuing further education in related fields, such as data science, finance, and academic research.
Certificate Courses
- Data Analysis using Excel
- Data Analysis using R
- Data Analysis using SPSS
Members in the Department
S.No |
Name of the Faculty |
Designation |
Experience |
1 |
Mrs. P. Priyanka |
Lecturer |
7 Years |
2 |
Mrs. G. Swathi |
Lecturer |
6 Years |
3 |
Mrs. G. Swathi |
Lecturer |
1 Year |
Composition of Board of Studies (BOS)
S.No |
Name |
Designation |
1 |
Mrs. P. Sarada |
Chairperson |
2 |
Mrs. P. Priyanka |
Faculty of the Department, AMSASCW |
3 |
Mrs. G. Swathi |
Faculty of the Department, AMSASCW |
4 |
Dr. N. Ch. Bhatacharyulu |
Professor, Department of Statistics, Osmania University, Hyderabad |
5 |
Dr. K. Supriya |
Professor, Head Department of Statistics and Mathematics, PJTSAU, Hyderabad |
6 |
R.C. Divya |
Statistical Programmer 2 – IQVIA, Hyderabad |
7 |
S. Vennela |
Alumni – Business Analyst, Advanced Medical Pricing Solutions |