STUDY ALPHA ACADEMY

If you want to crack ISI M.STAT. EXAMINATION, Then this STUDY ALPHA ACADEMY is the best for you! Joining the course in STUDY ALPHA ACADEMY can help you gain the finest experience, improve and harness your skills in various domains marketing. At the same time, you get to do it in a competitive context against thousands of participants where each one tries to build the most predictive path. STUDY ALPHA ACADEMY will show you the path to achieve your goal. Pushing your limit can result in better performance and smaller prediction errors. Being able to achieve high ranks consistently STUDY ALPHA ACADEMY can help you accelerate your career in ISI M.STAT. EXAMINATION. 

In STUDY ALPHA ACADEMY we have highly qualified teachers and researchers have combed through several books and journals, having collected and processed all the information so that it becomes easily accessible to the student. The study material is prepared in a time tested fashion with the student kept in mind in such a fashion that the student can catch up on the various topics in the event of missed lectures. Besides the theory being extensively discussed, an enormous collection of problems has been added so that the student can learn to apply the concepts over a diverse spectrum of difficulty. All the problems have been worked out thoroughly so that in case the student gets stuck, we've got you covered !

ISI M.STAT COURSES

The Indian Statistical Institute (ISI) has a world class course for Masters in Statistics: the M.Stat. course. Besides the enormous amount of pride and confidence that comes on getting selected for any of the courses, a candidate goes through rigorous grooming and training, and at the end of the three-year long course,  becomes a cut above the rest. Not only does the candidate get to work with stalwarts in the field of Mathematics and Statistics, but the student also gets the orientation and mentoring from the best, in order to be the best on a worldwide level. It is a well-known fact that many Fields Medallists visit the campus and conduct seminars, which the students of the Institute are encouraged to attend and interact.

Besides the academic prospects, a student may also get to apply for jobs with high remuneration from multinational companies as a mathematician or statistician. 

M. Stat. is a 2-year postgraduate course, the minimum eligibility for admission to which is the successful completion of graduation in a relevant discipline, from a recognized university. The course is essentially about collecting and interpreting statistics.

Social Sciences, Finance, and Econometrics are all covered as potential areas for gathering statistical data. The program involves components such as:

• practical math, like algebra, calculus.

• design side of statistics, like survey sampling and experiment implementation.

Admission to the course is based on the candidate’s test score, academic profile, performance in the round of interview.

2-year M Stat: 3-year Bachelor's degree with Statistics as a full subject, or a B Stat/B Math Degree/a Statistician's Diploma/Senior Diploma/Post-Graduate Diploma in Statistical Methods with Applications from the Indian Statistical Institute. Stipend Rs.5000/- permonth (Offered at Delhi and Chennai).

EXAM PATTERN

The entry into the M.Math. the course is governed by a tough entrance examination consisting of a two-round written exam and an interview.

For now, let us take a look at the pattern for the written interview: 

Round 1: MCQ

• There will be 30 questions of 4 marks each

• An unattempted question fetches 1 mark

• A wrong answer fetches 0 marks

• Time allotted: 2 hrs

There are no provisions for awarding negative marks.

Interview Round :

Conceptual Questions will be asked pertaining to the syllabus

WE ARE COVERING THE ENTRANCE EXAMS OF THE FOLLOWING INSTITUTIONS

• ISI KOLKATA

• ISI NEW DELHI

• ISI CHENNAI

• ISI COIMBATORE

• ISI HYDERABAD

• ISI MUMBAI

• ISI PUNE

• ISI VADODORA

• ISI GIRIDIH

• ISI BANGALORE

INTERVIEW SPECIAL GUIDENCE

• Special guidance for ISI M.STAT. COURSES

• Special notes

• Question discussion on the basis of our successful past student's discussion

CHECK OUT SOME OF OUR SAMPLE  VIDEOS

SPECIAL FEATURES

• Regular live classes are conducted by our prestigious faculty over Skype as they go over numerous concepts and problem-solving tricks.

• Special doubt-clearing classes are conducted regularly as the student progresses through the course.

• Mock tests are conducted on a weekly basis to track the progress of the student.

• A thorough analysis of the tests are conducted so that the student gets to work on weak points.

• Pre-recorded video lectures by our esteemed faculty are available for those who cannot attend regular classes.

• Lectures are custom tailored according to the course requirement, adhering strictly to the latest syllabus.

• Special doubt clearing classes are conducted regularly as the student progresses through the course.

OFFLINE CLASSES

• Offline live classes are held every day at our prestigious study centres, conducted by our esteemed faculty.

• Regular doubt clearing sessions one to one clearing is conducted.

• Video backups are provided for students who have missed the classes.

• Weekly mock tests are conducted to track the progress of the students.

• A complete analysis of the tests are conducted so that the student gets to work on the weak points.

WANT TO KNOW HOW STUDENTS DID IN THE PAST?

As a working professional, I always found it hard to take time out for ISI M.STAT preparation given the demanding nature of my job. So, the meticulously planned online classes, the ISI of Study Alpha Academy, which ran all the way down to the midnight hours, came as a boon to me and many others of my kind. 

I am extremely glad that I chose Study Alpha Academy. The faculties are highly knowledgeable and dedicated and never hesitate to explain a concept any number of times, till we are clear with it.

- Surjay Sahani(ISI M.STAT)

STUDY MATERIAL

WE ARE COVERING

ISI M.MATH. SYLLABUS:

First Year Curriculum

First Year, First Semester

B-Stream

1. Statistical Inference I

2. Regression Techniques

3. Multivariate Analysis

4. Stochastic Processes

5. Categorical Data Analysis

* Even though the course “Introductory Computer Programming” is meant to be a one-semester course, the course may be spread over two semesters. Also, it is not mandatory to have a final written examination for this course.

First Year, Second Semester

B-Stream

1. Large Sample Statistical Methods

2. Measure Theoretic Probability

3. Resampling Techniques

4. Optional Course

5. Optional Course

List of Optional Courses for B-Stream in First Year, Second Semester:

1. Metric Topology and Complex Analysis (pre-requisite for Probability Specialization)

2. Abstract Algebra

3. Optimization Techniques

4. Sample Surveys and Design of Experiments (pre-requisite for Applied Statistics Specialization)

List of Optional Courses for NB-Stream in First Year, Second Semester:

1. Nonparametric and Sequential Methods (pre-requisite for Theoretical Statistics Specialization and Applied Statistics Specialization)

2. Measure Theoretic Probability (pre-requisite for Theoretical Statistics Specialization and Probability Specialization)

3. Analysis II (pre-requisite for Probability Specialization)

4. Sample Surveys and Design of Experiments (pre-requisite for Applied Statistics Specialization)

5. Discrete Mathematics

6. Categorical Data Analysis

7. Optimization Techniques

8. Stochastic Processes

Second Year Curriculum

A student in the second year of M. Stat. will have to choose one from among the three specializations: (a) Probability, (b) Theoretical Statistics, (c) Applied Statistics. The Applied Statistics specialization consists of four different tracks as given below and a student opting for this specialization will also have to choose the track that he/she wants to pursue. The specializations and tracks, if relevant, to be offered at different centres in a particular academic year are to be announced by the Dean of Studies at least four months prior to the beginning of the Academic year. Each student is required to give his/her option of the specialization that he/she wishes to take at least two months prior to the beginning of the academic year. Students opting for the Applied Statistics specialization should, at the same time, also mention the track that he/she wishes to pursue. A student is required to take five courses in each semester of the final year. In addition to the compulsory courses for the various specializations as listed in the detailed syllabus, a student has the option of choosing the remaining courses that he/she wants to take. These optional courses may be chosen from the entire list of courses offered in the second year subject to the conditions specified in the detailed syllabus. However, each student is required to inform the Dean of Studies/Associate Dean about his/her choice of optional courses for a semester at least two weeks before the beginning of that semester.

Probability Specialization

First Semester

1. Statistical Computing I

2. Time Series Analysis

3. Martingale Theory

4. Functional Analysis

5. Optional Course

Theoretical Statistics Specialization

First Semester

1. Statistical Computing I

2. Time Series Analysis

3. Martingale Theory

4. Statistical Inference II

5. Optional Course

Applied Statistics Specialization

A student in the Applied Statistics Specialization is required to choose one from the following four tracks:

1. Actuarial Statistics

2. Biostatistics

3. Computational Statistics

4. Finance

List of Optional courses for M. Stat. Second year

Any compulsory course listed above (except Introductory Economics)

1. Dissertation 2. Advanced Design of Experiments 3. Advanced Functional Analysis 4. Advanced Multivariate Analysis 5. Advanced Nonparametric Inference 6. Advanced Sample Surveys 7. Analysis of Directional Data 8. Asymptotic Theory of Inference 9. Bayesian Computation 10. Branching Processes 11. Commutative Algebra 12. Descriptive Set Theory 13. Ergodic Theory 14. Fourier Analysis 15. General Topology 16. Life Testing and Reliability 17. Markov Processes and Martingale Problems 18. Mathematical Biology 19. Ordinary and Partial Differential Equations 20. Percolation Theory 21. Random walks and Electrical Networks 22. Representation Theory of Finite Groups 23. Resampling Techniques* 24. Risk Management 25. Robust Statistics 26. Signal and Image Processing 27. Statistical Methods in Demography 28. Statistical Methods in Epidemiology and Ecology 29. Stochastic Calculus for Finance** 30. Theory of Extremes and Point Processes 31. Theory of Games and Statistical Decisions 32. Theory of Large Deviations 33. Theory of Random Graphs 34. Special Topics in Economics 35. Special Topics in Finance 36. Special Topics in Probability 37. Special Topics in Statistics

* Open only for those students who have not taken the course in M. Stat 1st Year ** Open only to those students who have not taken Martingale Theory

SPECIAL FEATURES

• All topic with analysis

• Complete past year solution with explanation

• mock papers with solution

• More than 2600 pages +

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