Hostel Overview
Hostel life at St. Andrews College of Physiotherapy offers a safe, comfortable, and student-friendly living environment that supports academic focus and personal well-being. Separate hostel facilities for boys and girls are designed to provide a disciplined atmosphere, essential amenities, and a homely experience for students coming from different regions.
The hostels are equipped with well-furnished rooms, hygienic mess facilities, study-friendly spaces, and 24/7 basic support to ensure a convenient and secure stay. The environment encourages routine, peer learning, and a balanced lifestyle that complements academic and clinical training.
Living in the hostel also promotes teamwork, cultural interaction, and personal growth, helping students develop independence
Amenities and facilities
Accommodation
Separate hostel facilities for boys and girls with secure and supervised residential arrangements.
Room Types
Single, double, and shared occupancy rooms designed for comfort, ventilation, and student convenience.
Mess Facilities
Hygienic and nutritious meal services provided with a focus on health and quality food for students.
Safety & Security
24/7 security, monitoring, and hostel supervision to ensure a safe and engaging living environment.
Hostel Life
Comfortable Living
Experience a safe and well-maintained hostel environment with spacious rooms, essential amenities, and a peaceful atmosphere that supports both study and relaxation.
Daily Student Life
Safe Environment
With dedicated supervision, security measures, and student-friendly facilities, the hostel ensures a secure, hygienic, and supportive residential experience with campus.
Fee structure
Statistical Theory
- Theory of Statistical Inference, Advanced Probability Theory, Foundations of Statistics
Statistical Modeling
- Linear Models and Regression Generalized Linear Models, Multivariate Analysis.
Computational Statistics
- Statistical Programming (e.g., R and Python), Statistical Computing, Data Management
Applied Methods
- Time Series Analysis, Design and Analysis of Experiments, Sampling Theory
Modern Techniques
- Statistical Machine Learning, Advanced Statistical Learning, Data Science Methods


