MA in Statistics (Master of Arts in Statistics)

MA in Statistics About

MA Statistics is a 2-year full-time PG level course offering advance study in theory, research, methods and application of statistics and allied fields. The minimum eligibility is a graduation degree from a recognized university with a minimum aggregate score of 50%. Common statistics subjects included in this course are Demography, Probability Theory, Stochastic Process, Biostatics, etc. The course syllabus includes practicals and assignments which help students to understand the applicability of these subjects for different purposes. Many universities offer this course like Delhi University, Savitribai Phule Pune University, among others. Below we have discussed the top colleges to pursue MA Statistics in India: MA Statistics can be pursued full time only. Osmania University, Acharya Nagarjuna University, etc. offer masters in statistics through distance education in the form of MSc Statistics, which is slightly different from the MA course.After completing this postgraduate course, you can get hired in capacities such as Assistant Professor, Data Analyst, Risk Analyst, Research Analyst, Enumerator, Data Interpreter, Econometrician, Statistician, Lecturer, Biostatistician, Research Scholar, Statistics Trainer, and such.

MA in Statistics Course Highlights

Why study MA in Statistics?

Interest: Statistics is a highly recommended field of study if you are interested in data studies. From collection to analysis, everything is covered in this course through classroom training and practical training. This field is applied to so many disciplines such as medicine, natural sciences, education, psychology, and education. Therefore, pursuing this course will give you an extra edge over other students in this domain.

Salary: Apart from traditional jobs such as Statistician, Biostatistician, Enumerator, Data Collector, etc. people have started exploring latest jobs with respect to Data Science and Engineering such as Data Engineer, Data Analyst, Data Scientist, etc. which requires experts from Statistics background as this is the base for these studies. The lowest you can earn is around INR 4-5 LPA as a fresher, but with years of experience, you can earn more than INR 10 LPA as well in top research, business and financial companies. In late career, the average earning potential will be around INR 20 LPA.

Scope: Data Analysis is considered one of the most popular jobs of the 21st century. According to LinkedIn, the number of job posts for Data Analyst, Data Engineer, Business Analyst, etc. will increase tremendously by . Hence, it can be said that today is the right time to study this highly rewarded postgraduate course to find career stability along with your interest.

MA in Statistics Eligibility Criteria

• Graduation in Statistics or equivalent discipline, completed from a recognized university.
• A minimum aggregate score of 50% (45% for SC/ST/OBC candidates) at the level of graduation.
• Students awaiting their graduation-level examinations’ results are also eligible to apply on provisional basis.

MA in Statistics How to Apply

• Visit the official website of the institute offering the course.
• Download the application form from the website.
• Fill in the application form with the required details.
• Attach the necessary documents, such as academic records, portfolio, and photographs.
• Pay the application fee (if applicable).
• Submit the application form either online or in person.

MA in Statistics Admission Process

The admission process for a Master of Arts (MA) in Statistics typically involves several key steps. Firstly, prospective students usually need to meet certain academic prerequisites, such as having a bachelor's degree in mathematics, statistics, or a related field, with a strong background in calculus, linear algebra, and probability theory. Applicants are often required to submit their academic transcripts, letters of recommendation, and a statement of purpose outlining their academic and career goals. Some programs may also require standardized test scores, such as the GRE (Graduate Record Examination), although this requirement varies by institution. Additionally, many MA in Statistics programs require applicants to have a solid foundation in programming languages such as R or Python, as statistical analysis often involves computational methods. Demonstrating proficiency in these languages through coursework, projects, or relevant work experience can strengthen an applicant's candidacy.Finally, admitted students are usually required to confirm their intention to enroll by a specified deadline and may need to submit additional documentation, such as proof of English proficiency for international students. 

MA in Statistics Selection Process

The selection process for a Master of Statistics in India is generally the same regardless of university. In general, after receiving an application for the course, faculties make their final decision on the applicants based entirely on their overall performance in the preliminary and examination rounds.

MA in Statistics Syllabus

Semester I

• Analysis
• Probability Theory
• Statistical Methodology
• Survey Sampling
• Practical –I

Semester II

• Linear Algebra
• Stochastic Processes
• Statistical Inference-I
• Design of Experiments
• Practical –II

Semester III

• Statistical Inference-II
• Multivariate Analysis
• Generalized Linear Model
• Practical –III

Semester IV

• Econometrics and Time Series Analysis
• Demography
• Statistical Quality Control and Reliability
• Practical –IV

MA in Statistics Career Opportunities

MA in Statistics Employment Zone:

• Data Survey Agencies
• Insurance Companies
• Statistical Research Centres
• Economics
• Financing Sector
• Indian Civil Services
• Public-Sector Undertakings (PSUs)
• Statistical and Economic Bureaus
• Banks
• Stock Exchanges
• Indian Economic Services
• Business Complexes
• Commercial Hubs
• Educational Institutes
• Indian Statistical Services
• Social Research Centres
• Consulting Firms

MA in Statistics Job Scopes:

• Biostatistician
• Data Interpreter
• Econometrician
• Lecturer
• Research Scholar
• Statistician
• Data Analyst
• Research Analyst
• Assistant Professor
• Enumerator