Graduate Study Program "Master of Science in Data Science"

EXPRESSION OF INTEREST

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Academic year 2018-2019

The application period for the MSc in Data Science for the next academic year (2018-2019) is expected to to start immediately after completion of the legal reform of all postgraduate programs of the Greek Public Universities.

Interested applicants can now submit an “Expression of Interest”* electronically using the form provided below, along with scanned copies of the following documents:

  1. Completed and signed application form with photo
  2. Copy of all university degrees/diplomas received
  3. Copy of transcripts of grades in Greek or English. Accepted candidates must submit official transcripts
  4. Certificate of equivalence for degrees from foreign Universities, issued by NARIC/DOATAP (or proof that an application for certification has been filed). In case of a foreign University degree the applicant must secure recognition from the National Academic Recognition Information Center. Check on DOATAP’s University list whether your degree is subject to recognition at first place.
  5. Proof of knowledge of English: Certificate of Proficiency in English from U. of Michigan/ Cambridge, TOEFL (at least 80), IELTS (at least 7) or other equivalent
  6. GRE scores (if available – recommended)
  7. Two recommendation letters (if available at this stage)
  8. Copies of employment history records (required for the Part Time Program)
  9. CV in English

No application fee is required at this stage

You can download the “expression of interest” form here (word format) and here (pdf format)

You can download the recommendation letter form here (word format) and here (pdf format).

Please submit all material by e-mail to: datascience@aueb.gr                    

Starting Date: March 19th, 2018

*Submission and/or evaluation of the “Expression of Interest” are not binding and do not constitute any obligations to the interestees, nor to the University. “Expression of Interest” can be converted into a formal application, only after the reform is completed and published in the Official Government Gazette (FEK).

CALL FOR APPLICATIONS FOR ADMISSION

Full Time Part Time
Call for Applications for Admission PDF PDF
Call for Applications for Admission - Summary PDF PDF
Application Form Online Application form
Recommendation Letter PDF / WORD

CAPSTONE PROJECTS

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Thesis 2017 

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The Full time program of study “Master of Science in Data Science” is addressed to excellent recent graduates, or midcareer professionals looking to upskill, with strong technical/math skills, from engineering, mathematics, statistics, finance, economics, operations research, and computer science. 
 
The Part time program of study “Master of Science in Data Science” is addressed to early- and Mid-career professionals (at least 2 years full time professional experience) wanting to face the challenge of understanding and exploiting the deluge of data in their organizations. 
 
Applications are accepted until August 14th, 2017. Tuition fees for the full time program are €5.500 (EU citizens)/ €9.000 (non-EU citizens), payable in three installments. Tuition fees for the part time program are €7.500, payable in three installments. Places are limited. Limited number of merit-based scholarships is available.
 
Submit your application online at: http://e-graduate.applications.aueb.gr/  

Each online application is required to include the following:

  • Completed and signed application form with photo
  • Copy of all university degrees/diplomas received
  • Copy of transcripts of grades in Greek or English. Accepted candidates must submit official transcripts
  • Certificate of equivalence for degrees from foreign Universities, issued by NARIC/DOATAP (or proof that an application for certification has been filed -- admission is contingent on submission of the certificate by January 2017)
  • Proof of knowledge of English: Certificate of Proficiency in English from U. of Michigan/ Cambridge, TOEFL (at least 80), IELTS (at least 7) or other equivalent.
  • GRE scores (if available – recommended)
  • Copies of employment history records (required for the Part Time Program)
  • CV in English
  • Application fee of 25 euros to be deposited in National Bank of Greece, Account number: 110/001372-21, IBAN number: GR18 0110 1100 0000 1100 0137 221 (Part Time Program), Account number: 110/00155983, IBAN number: GR75 0110 1100 0000 1100 0155 983 (Full Time Program). Deposit receipt must be attached to the application.

Also two recommendation letters are required in order for your application to be valid. Recommendation letters must be sent to the program’s secretary e-mail: datascience@aueb.gr
 
Full time Program duration is 1 year. Students complete 60 units of coursework (40 units of core courses and 20 units of electives). Full courses are worth 5-6 units, half courses are worth 3 units. There are 3 teaching periods of 10 weeks each per year. After completion of coursework, students undertake an intense 3-month integrated Capstone Project in collaboration with industry, with joint academic and industrial supervision, for 15 units. 
 
Part Time Program duration is 2 years. Students complete 75 units of coursework (40 units of core courses and 35 units of electives). Full courses are worth 5-6 units, half courses are worth 3 units. There are 3 teaching periods of 10 weeks each per year. Students can replace 15 units of coursework with an integrated Capstone Project in collaboration with industry, or a faculty-supervised research thesis, with Director approval. Required classes take place twice a week, 6:00-9:00pm. 
 
Attendance of lectures and laboratory sessions is mandatory. Students are required to complete 1-3 preparatory courses in Statistics, Mathematics, and Computer Science, as decided by the Admissions Committee.  Each course comprises 4 3-hour lectures and a final exam. 

For your participation in the program, it is required for students to have access to their own appropriate computer, preferably a laptop, as certain courses require bringing a computer to class.

Curriculum

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