Masters Program in Statistics in Asia

Compare Masters Programs in Statistics in Asia 2017

Statistics

A masters is the first level of graduate coursework and can be obtained after you receive a bachelor’s degree. Earning a masters usually requires two years of full-time study, which amounts to 36 to 54 semester credits.

 

Statistics is a highly relevant field with applications in many different academic disciplines, such as medicine, natural sciences, education, psychology, and education. It is also a desirable skill for workers in industry, business, and government.

Students who complete a part of their degree in Asia are growing in numbers. Currently, the second and the third biggest economies are in Asia. Without limitation, students have described their time in Asia as the best experience of their lives. Today, three of the four most populated countries of the world are in Asia: China, India, and Indonesia.

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Master of Statistics (M.Stat.)

Sharda University
Campus Full time 2 years July 2017 India Greater Noida

Two years Post Graduate Course in Statistics. The course is intended for those having an inclination towards higher learning in Statistics. Statistics finds application everywhere and the degree warrants highly potential employability... [+]

Masters in Statistics in Asia 2017. Master of Statistics (M.Stat.) Two years Post Graduate Course in Statistics. The course is intended for those having an inclination towards higher learning in Statistics. Statistics finds application everywhere and the degree warrants highly potential employability. Eligibility B.Sc. with Mathematics/ Statistics with 60% marks Proficiency in English communication Career and Placement University Research or Teaching jobs, IT and Bank Jobs. Guidelines for Admissions Pre-qualification examination criteria for the Under Graduate programmes is Class 12th from any of the recognized boards of India. For foreign nationals, the pre qualification for the Under Graduate programmes is a certificate equivalent to Class 12th examination of the country and meeting the equivalence criteria of ‘Association of Indian University’. Pre-qualification criteria for the Post Graduate programmes is graduation from any recognized university in India. For foreign nationals, the pre-qualification criteria for the Post Graduate programmes is degree awarded by a University in a particular country and meeting the equivalence criteria of ‘Association of Indian Universities’. Applicants who have appeared for their final year graduation examinations in year 2015 may also apply for admission to Post Graduate programme. The University reserves its rights to judge the capability of a candidate through GD/PI before final admission. TOEFL/IELTS is compulsory for foreign nationals who do not have English as primary language in teaching and examination. To qualify for admission in Sharda University in its Under Graduate programme, the applicants must complete 17 years of age on 31st December of the academic year in which they are seeking admission. [-]

Professional Master's Degree in Data Analytics

Sabanci University
Campus Full time 1 year October 2017 Turkey İstanbul

Big data is paving the way to empower businesses to make better decisions: With the amount of digital data increasing at an enormous rate, rigorous research is carried out in an effort to extract value from the massive data sets, to turn them into smarter decisions for improving business results. The emerging field of Data Analytics holds the key to unleashing that potential. [+]

Big data is paving the way to empower businesses to make better decisions: With the amount of digital data increasing at an enormous rate, rigorous research is carried out in an effort to extract value from the massive data sets, to turn them into smarter decisions for improving business results. The emerging field of Data Analytics holds the key to unleashing that potential. Data Analytics is considered to be a relatively new field which integrates state-of-the-art computational and statistical techniques to extract business value from a rapidly expanding volume of data. Many consulting firms claim that Data Analytics will be one of the key skills of the 21st century. Most critical issue, however, is the shortage of analytical talent that could turn the high-volume data into useful information that will be used for better decision making. In a business world in which the gap between winners and losers is narrowing down, companies are increasingly turning to data analytics to gain a competitive advantage in productivity, profitability and sustainable manufacturing processes for better products and better services. To be able to do that, companies need trained workforce skilled in Data Analytics, who are equipped to manage, understand and model the data, interpret the outcome and communicate the results for business use. Professionals holding a degree in Data Analytics will be well positioned to help their organizations gain a competitive advantage in a data-driven world. This program is designed to help our participants develop the skill set needed for creating and maintaining the added competitive edge that innovative companies are trying to establish. Our curriculum will help you develop skills required for data-driven decision-making with a wide variety of courses such as: Programming, Data management and data processing, Data mining, Machine learning, Statistical models for data analysis, Optimization, Decision modeling, Exploratory data analysis and visualization, Social network analysis, Data privacy, security and forensic discovery, Information security law, Business communication, Project management, a capstone project and more. Admission Requirements Applications for non-thesis master’s programs are evaluated by the assigned Admission Jury. Suitable candidates are invited to a personal interview. Admissions are finalized by the approval of the related Graduate School Board upon the recommendation of the Jury and are announced to the applicants. Application periods can be found in the Academic Calendar of Sabanci University. Your registration will be completed upon the approval of Turkish Higher Education Council regarding the equivalence of the last graduated higher instution and the course of study. Program Structure Professional Master's Degree in Data Analytics is a 30-credit program that can be completed in one academic year. The courses are distributed across three consecutive semesters (Fall-Spring-Summer), each of which lasts 14 weeks. Students take 10 courses (excluding the Term Project) in total from various areas. The Term Project is a non-credit course. Who should apply Professional Master’s Degree in Data Analytics is designed for working professionals who are looking into developing their analytical skills with no interruption on participants’ careers. The expected participant profile: Graduates of disciplines with a solid quantitative background (e.g. computer science, engineering, mathematics, physics, statistics, economics and other fields with a quantitative focus), or All professionals who have ample work experience in a data-analytics-related area and are seeking in-depth training in Big Data Analysis. Skills Acquired Diagnose, understand, measure and evaluate data to enable better decision making within the organization. Define and apply appropriate methodologies for complex business problems. Interpret findings, present and communicate the results. Graduates can find work as data analysts, data managers, data modelers and data scientists in the financial institutions, healthcare industry, insurance industry, telecommunications industry, marketing and media firms, retail industry and government agencies. [-]

Graduate Of Statistical And Mathematical Methods Of Analysis

Moscow State University of Economics, Statistics and Informatics MESI
Campus Full time 2 years September 2017 Russia Moscow

Today we can safely say that was left virtually no branch of business, wherever required highly qualified specialists in the economic and [+]

Graduate of statistical and mathematical methods of analysis and forecasting economic

Language of instruction: Russian

Today we can safely say that was left virtually no branch of business, wherever required highqualified on economic and mathematical modeling. At the same time every year the market requires more and more complex and qualified solutions.Graduates MESI - economists have analytical thinking, which is based on a deep knowledge of economics, mathematics, statistics, and computer technology. The specifics of the program - training based on a combination of disciplines that form the core of classical education in economics, applied statistics, econometrics, economic and mathematical modeling. Competence of the graduate program: ... [-]