General Information
MCDA MSc Programme
Computational and Statistical Data Analytics
Computational and Statistical Data Analytics (MCDA) — a Master's Programme offered by the Department of Mathematics of the University of Patras.
Since the academic year 2018–2019, the Department of Mathematics has organised and offered the Master's Programme in Computational and Statistical Data Analytics (MCDA) at the University of Patras (Government Gazette 1534/B/04-05-2018), in accordance with the provisions of Law 4485/2017 (Government Gazette 114/A). In accordance with the applicable legislation, the operation of the Programme was extended through the academic year 2025–2026 (Government Gazette 2992/B/08.05.2023).
Government Gazette 1534/B/04-05-2018 Establishment and operation of the MSc Programme
Scope
Specialised interdisciplinary education in data science
The Master's Programme in Computational and Statistical Data Analytics provides specialised interdisciplinary postgraduate education in data management, representation and processing, together with the computational techniques required for their effective analysis.
Students receive both theoretical and applied training through hands-on activities and laboratory work. The Programme provides students with the scientific knowledge and practical skills required to select and use appropriate tools from Information Systems, Operations Research and Statistical Analysis for the effective management and analysis of data arising in industry, public administration and business.
In this way, graduates of the Programme are equipped to assume positions of increased responsibility in the public and private sectors, evaluate appropriate solutions to a wide range of data-related problems, and contribute to improving the quality of services and/or products.
Degree Awarded
Master's Degree
The Programme awards a Master's Degree (MSc) in Computational and Statistical Data Analytics.
Accreditation
Accreditation Report of the External Evaluation and Accreditation Panel appointed by the Hellenic Authority for Higher Education (HAHE) to evaluate the Master's Programme in Computational and Statistical Data Analytics (MCDA) of the University of Patras for the purpose of accreditation.
View the report HERE
Curriculum
Structure, duration and language of instruction
The curriculum comprises 6 compulsory courses, 2 elective courses and a Master's thesis, corresponding to a total of ninety (90) ECTS credits.
Courses are semester-long and are taught in Greek and/or English. The standard duration of the Programme leading to the award of the Master's Degree is 3 semesters.
Admissions
Eligible Applicants
Each year, the Programme admits up to thirty (30) holders of first-cycle higher education degrees from Departments or Schools in the Natural Sciences, Technological Sciences, Engineering, Economics and Business Administration, awarded by Higher Education Institutions in Greece or by higher education institutions abroad.
For degrees awarded by institutions abroad, the Programme Secretariat verifies, in accordance with the applicable legislation, whether the awarding institution is included in the National Registry of Recognised Foreign Higher Education Institutions and whether the type of degree is included in the National Registry of Types of Degrees awarded by Recognised Foreign Higher Education Institutions maintained by DOATAP.
Graduates of Military Academies and graduates of former Technological Educational Institute (TEI) Departments in relevant fields are also eligible for admission.
The admission procedure, including eligibility requirements and selection criteria, is described in detail in the Programme's updated regulations.
Up to 30 students admitted per year
Study
No tuition fees and support for academic excellence
No tuition fees
Students are not required to pay tuition fees for their studies in the Programme.
Excellence Award
In addition, through the Research Committee (ELKE) of the University of Patras, the Programme provides a financial award based on academic excellence to at least one newly admitted Master's student.
Support for Research Activities
The Programme provides financial support for the presentation and/or publication of selected Master's theses, in accordance with criteria and procedures announced by the Programme.
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