M.Sc. in StatisticsUniversity of Hyderabad
Price on request
Frequent Asked Questions
For applying for the M.Sc Courses, a candidate should satisfy the following criterion -Bachelor's degree with a minimum of 60% marks in the aggregate of optional subjects with Mathematics/ Statistics as one of the subjects; OR -At least 55% of marks for those who have done B.A./B.Sc. (Hons) course in Maths/ Statistics. Apart from this, the candidates should also clear a written entrance+interview
The School has two constituent departments namely,
a) Department of Mathematics & Statistics
b) Department of Computer & Information Sciences
Department of Mathematics & Statistics : The Department aims to train people who are oriented towards research and teaching in advanced areas of Mathematics and Statistics. Special attention is given to foundational topics.
M.Sc. in Statistics
The department offers M.Sc. courses in three streams; Mathematics, Applied Mathematics and Statistics-Operations Research.
These courses are spread over a period of four semesters. For each stream, there are separate core courses and electives.
The admission will be made separately for M.Sc. Mathematics (including Applied mathematics) and M.Sc Statistics-Operations Research. At the end of the first semester, the students of M.Sc. Mathematics will be given the option to specialize in either Mathematics or Applied mathematics. Change of option between Mathematics and Statistics is not allowed.
Each admitted student who do not possess any fellowship from any other agency will be paid a Fellowship/ Scholarship of Rs. 1000 p.m. as per the existing rules of the University.
University Achievers awards: The top two students in the class will get an achievers award @ Rs.2000/- p.m. (instead of the Rs. 1000 that other students get) for scoring highest marks in the class in the preceding semester. Its continuation depends upon the continuation of the scoring of the highest marks by the awardee.
Syllabus: M.Sc. in Statistics
Discrete Math. Structures
Elements of Prob. & Stat.
Prob. & Measure Theory
Theory of Inference-I
Linear Models & Regression
Theory of Sampling
Design & Analysis of Experiments
Theory of Inference-II
Large Sample Theory
Time Series Forecasting