Students
Tuition Fee
Start Date
Medium of studying
Duration
3 semesters
Details
Program Details
Degree
Masters
Major
Data Analysis | Data Science | Statistics
Area of study
Information and Communication Technologies | Mathematics and Statistics
Course Language
English
Intakes
Program start dateApplication deadline
2024-10-01-
About Program

Program Overview


University Program Information

The University of Patras offers a Master's program in Computational and Statistical Data Analytics (MCDA). The program is designed to provide advanced education in data management, representation, and processing, as well as the necessary computational techniques.


Program Description

The MCDA program is a three-semester full-time program that leads to the award of a Master's degree. The program consists of eight courses, four of which are compulsory, and a Master's thesis. The program is taught in English, and applicants are required to have a good command of the language.


Admission Criteria

To be eligible for the program, applicants must hold a Bachelor's degree from a recognized institution in a relevant field, such as mathematics, computer science, or engineering. Applicants must also demonstrate a good understanding of mathematical and computational concepts.


Application Procedure

Applicants must submit their application through the university's online portal, along with the required documents, including:


  • A completed application form
  • A curriculum vitae
  • A statement of purpose
  • Transcripts and diplomas
  • Proof of English language proficiency
  • Two letters of recommendation

Tuition Fees

There are no tuition fees for the program. However, students are required to cover their living expenses and other costs associated with their studies.


Research Areas

The program focuses on computational and statistical data analytics, with research areas including:


  • Data mining and machine learning
  • Statistical modeling and analysis
  • Computational methods for data analysis
  • Data visualization and communication

Career Prospects

Graduates of the program can pursue careers in a variety of fields, including:


  • Data science and analytics
  • Machine learning and artificial intelligence
  • Statistical modeling and analysis
  • Computational biology and bioinformatics
  • Financial engineering and risk management

Contact Information

For more information about the program, please visit the university's website or contact the program coordinator.


Note

The above information is based on the provided context and may not reflect the current or accurate information about the university program. It is always best to check with the university or the program coordinator for the most up-to-date information.


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