PhD in Statistics Syllabus, Topics, Colleges, Salary in Andorra 2022

PhD in Statistics Admission 2022 Admission process, Courses Structure, Schedule of Entrance Exam, Date Sheet, Counselings Process , Courses Detail, Fee Information , Fees Submission Last Date

PhD in Statistics jobs in Andorra, part time PhD in Statistics in Andorra, PhD in Statistics colleges in Andorra, PhD in Statistics entrance exam in Andorra, PhD in Statistics online admission in Andorra, career opportunities after PhD in Statistics

PhD in Statistics in Andorra

Statistics comprises of a set of mathematical techniques that help in analysing collected data. Professionals use statistical thinking, parameters and methods to explain results and to anticipate possible outcomes in diverse scientific, social and business issues. Therefore, statistics is a valuable tool used in other disciplines such as medicine, natural sciences, sociology, economics, engineering and marketing. Statisticians gather data, summarise information, draw conclusions and advance predictions.

Universities offer mathematical programmes with specialisation in statistics, usually at the undergraduate level, or highly specialised degrees in statistics at the graduate level. Specialisations of statistics degrees include: statistics and measurement, statistical inference, econometrics, quantitative methods of the financial markets, statistics in life sciences, computational finance, biostatistics. Applicants are typically required to have excellent grades in mathematics and at least one other science subject. Students and professionals will use computer literacy and transferable abilities such as analytical skills, a sound logic, the capacity to interpret vast amounts of information and to effectively communicate results.

Graduates in statistics can easily find jobs wherever there is the need for decision-making based on data. They can become business analysts, economists, mathematicians, data analysts, risk analysts, environmental scientists and may naturally advance in managerial positions. Professionals work in various industries, such as medicine, health care and pharmaceuticals, marketing research, public administration, sociology, business, or insurance.

PhD Statistics Course Highlights

Highlights for PhD Statistics program are provided in the table given below:

Course LevelDoctorate
Full-FormDoctor of Philosophy in Statistics
Duration2 years
Examination TypeSemester-based
EligibilityPost-graduation (M. Stat. / M.A. / M.Sc.) with a minimum of 55% marks. 
Admission processMerit-based / Entrance Exam
Average Annual Course FeeINR 10,000–INR 1,50,000
Average SalaryINR 3,00,000 - INR 8,00,000 per annum
Top Recruiting CompaniesBlue Ocean Marketing, BNP Paribas India, Deloitte Consulting, TCS Innovations Labs, Nielsen Company, Accenture, HP, GE Capital, HDFC, Cognizant, RBI, HSBC, American Express, Indian Market Research Bureau, Genpact etc.
Job ProfilesEconometrician, Article Writer, Enumerator, Lecturer, Assistant Professor, Biostatistician, Data Analyst, Research Analyst, Data Interpreter, Research Scholar, Statistician, Content Developer, Labor Counsellor, Curriculum Trainer, Trainee Associate, Sociologist, Trainee - Teaching Associates, Asst. Professor & Lecturer etc.
Area of EmploymentEcological, Medical, Census, Election, Crime, Education, Film, Cricket, Tourism, Insurance, Statistical Research, Indian Statistical Services, Social Research, Economics, Finance, Indian Economic Services, Businesses, Commerce, Govt. Jobs Consulting Firms, Data Survey Agencies, Public Sector Undertakings (PSUs), Statistical and Economic Bureaus, Banks etc.


The Department is renowned in Canada for its research excellence and its leadership in the research community. Students are engaged through both courses and research, and develop a strong set of skills, both applied and theoretical. The Department has always valued data driven research, consulting and collaboration, and has long held communication and computing skills as crucial for success. Graduate students participate actively in our research, teaching and consulting activities, and enjoy a wide variety of opportunities for interaction with other researchers and students on- and off-campus. In addition, our graduate students run their own statistical consulting service, which provides them with professional (paid) experience even before they finish their program.

We have recently introduced a highly innovative qualifying process – instead of writing an exam, first year PhD students register in a reading and research course where they work on research papers proposed by individual faculty members.

PhD Admission Requirements

Successful candidates have a strong background in mathematics, statistics, or a related field. Outstanding performance in their course work, outstanding letters of recommendations and well-thought-out statements of intent are an asset. Prior research experience is also valuable.

You must meet all admissions requirements to be considered for entry into the program. In addition to our admissions requirements for each program, please familiarize yourself with the minimum requirements, rules, and regulations of the School of Graduate School Studies.

Please also review the School of Graduate Studies Admission & Application Requirements.

We receive many outstanding applications, and admission to our program is competitive. Unfortunately, we cannot offer admission to all qualified applicants.

What is the PhD Statistics Syllabus?

Although the PhD in Statistics program syllabus varies from institute to institute, it mostly consists of some common foundation courses that students can select based on their interests.

The Semester-wise syllabus of PhD Statistics program is provided in the table given below: 

Semester ISemester II
Research MethodologyDissertation and Viva-Voce
Advanced Trends in Statistics
Longitudinal Data Analysis
Stochastic Models in Queuing Theory
Advanced Queuing Systems
Laplace Distributions
Circular Distributions
Limit Theorems and Stability of Random Sums

Career opportunities

You will gain a qualification that is highly regarded in both academia and industry. Future career options are diverse, with past students finding positions in academic institutions, forensics, finance, law and biological and agricultural organisations.