Page 2 of 2, compare 22 Masters Programs in Statistics
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This master has a wide range of subjects aimed at research oriented towards the needs of technology centers and the R + D + i departments of companies with regard to Mathematics. In fact, the Master in Mathematical Modeling, Statistics and Computing, origin of which is proposed, is highly valued and all courses have enrolled students from a technology center. Finally, note that professors of the Master of the six universities have experience of projects with companies.
The Master in Statistics teaches students the difficult art of transforming data into information and helping decision-makers and researchers in other fields analyze this information most efficiently.
The MS programs in Mathematics & Scientific Computing and in Statistics & Scientific Computing prepare students for careers in research, applications, and teaching. Students choose courses from two areas of concentration for their coursework: Mathematics and Computations or Statistics and Computations.
The master 2 “Statistics and Econometrics” develops students who have previously acquired a solid skill set in economics and/or mathematical statistics.
The 1st year of the Master 1 in Econometrics and statistics provides rigorous training in the major fields of economics.
Master Program of Applied Statistics at Universitas Padjadjaran was established under the Indonesian Directorate General of Higher Education (DIKTI) Decree No. 117/D/T/2007 on January 18, 2007, extended by Universitas Padjadjaran Rector's Decree No.6626/D/T/K-N/2011. The program is managed by the Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran.
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.
This MicroMasters program in Statistics and Data Science is comprised of four online courses and a virtually proctored exam that will provide you with the foundational knowledge essential to understanding the methods and tools used in data science, and hands-on training in data analysis and machine learning. You will dive into the fundamentals of probability and statistics, as well as learn, implement, and experiment with data analysis techniques and machine learning algorithms. This program will prepare you to become an informed and effective practitioner of data scientist who adds value to an organization. The credential can be applied, for admitted students, towards a Ph.D. in Social and Engineering Systems (SES) through the MIT Institute for Data, Systems, and Society (IDSS) or may accelerate your path towards a Master’s degree at other universities around the world.
Learn fundamental, in-demand analytics skills to maximize business impact and advance your career as an analyst.
Gain the critical thinking skills and knowledge needed to become a more effective decision maker.
The Master's Degree in Statistics Techniques is organized by the three Galician universities and is taught face-to-face in the faculties of Computer Science (A Coruña), Mathematics (Santiago de Compostela) and Economics and Business Sciences (Vigo). A videoconference system allows attendance to all classes from a single Faculty. It lasts for a year and a half.
The International Master's (Second Cycle Degree) in Statistical Sciences aims to train experts able to manage, analyze and interpret data in order to produce that knowledge required to support decision-making processes in private and public companies.
Aimed at graduates in Mathematics, Physics and Engineering who wish to complete their training, either by initiating research in Mathematics or acquiring advanced training in Applied Mathematics and Statistics for incorporation into companies or technology centers.
The structure of our MMES program is nearly identical to that of the first two years of a North American doctoral program in Economics. It combines advanced training in quantitative methods with a strong foundation in economic theory and research design.
One of the principles we are bearing in mind when setting up the Distance program is to keep it as close to the On-Campus program as possible, not only its content and teaching methods but also the way of assessing students.