Graduate Study Program "Master of Science in Data Science"

Data Science is the study of data through computational and statistical techniques, in order to answer questions, develop explanatory and predictive models, perform analyses and communicate the results in revealing ways. Data science draws from a wide variety of disciplines such as computer science, artificial intelligence, statistics, economics, and operations research. It applies quantitative methods to uncover relationships in data drawn from business, medicine, financial, social or other domains. It is a key driver of improvements to all aspects of business, including strategy, operations, marketing, finance, and human resource management.

The Master of Science in Data Science, the first of its kind in Greece, offers students in-depth focus in data science while allowing them to tailor it their particular interests. Students will be interacting with diverse faculty members and other students, given the opportunity to complete innovative data science projects and be exposed to industry needs and real-life data science challenges. 

The program focuses on computation and quantitative techniques and offers students new opportunities for building sustainable competitive advantage through data analysis. The full-time program consists of an academic year of taught courses and a 3 month-long Analytics Capstone project that enables students to work on a real-world data-intensive problem using the tools and skills learned in the program.  The part-time program consists of two academic years of taught courses. 
The program is offered jointly by the Departments of Informatics and Statistics in the School of Information Sciences and Technology of the Athens University of Economics and Business.

Target audience

For the full-time program: 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. Prospective students get excited about gathering, measuring and analyzing information and want to focus on quantitative, computational methods to unlock the potential of data assets to reveal patterns, make predictions and improve decision-making. All applicants should have demonstrated academic success as evidenced by undergraduate and graduate courses and grades.

For the part-time program: Early- and Mid-career professionals (at least 2 years full time professional: experience required) wanting to face the challenge of understanding and exploiting the deluge of data in their organizations. Any professional (in private or public sector) with a mandate to gather, measure and analyze information. Professionals especially in business consulting, retail banking, market research, quantitative marketing, IT, Business Intelligence, finance, operations as well as managers focused on using data to extract business value. Recent programming experience and facility with basic mathematical concepts and quantitative techniques are necessary.

The Program does not discriminate on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, age or disability. Our nondiscrimination policy applies to all phases of the admission and scholarship process, and to all aspects of the educational programs and activities.

Candidates profile - Admission requirements

Each candidate is required to include according to each year’s call for admission approximately the following:
•    Application 
•    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 DOATAP/Hellenic NARIC (or proof that an application for certification has been filed -- admission is contingent on submission of certificate by the Program enrollment date)
•    Proof of excellent  knowledge of English: Certificate of Proficiency in English from U. of Michigan/ Cambridge, or other equivalent to C2
•    GRE scores (if available)
•    Two recommendation letters (to be sent via post to the Program Administrator or via email to datascience@aueb.gr)
•    Proofs of employment (optional for full time program, required for part time program)
•    CV in English

Program Structure

The Full Time (FT) program is a 1-year program. Students need to complete 60 units of coursework, of which 46 units of core courses and 14 units of electives. 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. Attendance of lectures and laboratory sessions is mandatory.

The Part Time (PT) program is a 2-year program. Students need to complete 75 units of coursework, of which 46 units of core courses and 29 units of electives. Students can under special circumstances 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. 

Full courses are worth 5-7 units, half courses are worth 3 units. Before the beginning of classes, students are required to complete 1-3 preparatory courses in Statistics, Mathematics, and Computer Science, as decided by the Admissions Committee.  Each course comprises 5 3-hour lectures and a final exam. 
 

CALL FOR APPLICATIONS FOR ADMISSION – SUMMARY
GRADUATE STUDY PROGRAM "MASTER OF SCIENCE in DATA SCIENCE" 
Full Time and Part Time Programs 2018-2019

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

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 required) wanting to face the challenge of understanding and exploiting the deluge of data in their organizations
Applications are accepted until August 11th, 2018. Tuition fees are €6.000 for Full Time Program and €7.500 for Part Time Program, payable in three installments. Places are limited. Limited number of merit-based scholarships is available.
Each 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 DOATAP/Hellenic NARIC (or proof that an application for certification has been filed -- admission is contingent on submission of certificate by the Program enrollment date)
  • Proof of knowledge of English: Certificate of Proficiency in English from U. of Michigan/ Cambridge or other equivalent
  • GRE scores (if available)
  • Two recommendation letters (to be sent via post to the Program Administrator or via email to datascience@aueb.gr)
  • Proofs of employment (optional for full time program, required for part time program)
  • CV in English

Applications are accepted until August 11th, 2018. Places are limited.
Applications will be filled online at http://e-graduate.applications.aueb.gr/ and printed copy must be submitted to the secretary of the program during the application period at the following address:
Secretariat for Graduate Programs, Informatics Department, Athens University of Economics and Business, Evelpidon 47A & Lefkados, Athens 11362 Greece, 7th Floor, Office 707 (Monday- Friday 12:00-18:00, tel.: (+30) 210-82.03.860, e-mail: salexandri@aueb.gr  Ms. Simone Alexandri).
The Full Time (FT) program is a 1-year program. Students need to complete 60 units of coursework, of which 46 units of core courses and 14 units of electives. 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. Attendance of lectures and laboratory sessions is mandatory.
The Part Time (PT) program is a 2-year program. Students need to complete 75 units of coursework, of which 46 units of core courses and 29 units of electives. Students can under special circumstances 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. 
 

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 €6.000 , 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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