Οικονομικό Πανεπιστήμιο Αθηνων- Μεταπτυχιακό πρόγραμμα στην Επιστήμη των Δεδομένων

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 part time includes 21 months of taught courses and potentially 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 Informatics Department of the Athens University of Economics and Business

The program is offered by the Department of Informatics of Athens University of Economics and Business.

The Department has been in existence, in its present form, since 1984 and is focused on providing innovative undergraduate and postgraduate education, along with research for the information and computing professions. Each year, we welcome approximately 200 undergraduate and over 100 graduate students.

Faculty members have over 20 years of academic teaching experience on average and collectively have contributed more than 1.000 research publications, which have attracted over 10.000 references from other researchers worldwide. Furthermore, more than half of our faculty have been faculty members in leading American and other European Universities.

Athens University of Economics and Business (AUEB) was founded in 1920. It is considered one of the most competitive universities, at the European level, in the fields of Economics, Business Administration, Informatics, Statistics, Marketing, Accounting and Finance. AUEB was the first Greek University to establish postgraduate studies, at the Master’s as well as the doctoral level. Today it enrolls over 2000 students in 35 part-time and full-time Master’s level postgraduate programs with a duration of 1 to 2 years. It is the first university in Greece to receive the distinction of Excellence, according to the internationally accepted EFQM (European Foundation of Quality Management) Excellence Model, and it has also received the corresponding “Ever to Excel” Greek distinction. AUEB is by far the most international of Greek universities: It has the largest ratio of Erasmus students to its active student population, as well as a large number of undergraduate and postgraduate students participating in the Erasmus and Erasmus+ programs. It also offers one of the most active branches of AIΕSEC, through which it provides valuable opportunities for internships abroad.

Program’s Target audience

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.

All applicants should have demonstrated academic success as evidenced by undergraduate and graduate courses and grades. The admissions committee considers the totality of a candidate’s experience, skills, personality and potential to reach a decision, aiming for a diverse class of motivated students who can most benefit from and contribute to our rigorous program of study.

Application process and admission requirements

The application period for the MSc in Data Science (Part-Time) for this academic year (2017-2018) is as follows: July 21st, 2017 to August 14th, 2017. The admissions committee may review submitted applications at any time and send acceptance/rejection letters earlier than the respective deadline. Acceptance letters will be sent out at the latest by August 31st.

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 certificate by September 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)
•  Copies of employment history records
•  CV in English
• Application fee of €25 to be deposited in National Bank of Greece, Account number: 110/001372-21, IBAN number: GR18 0110 1100 0000 1100 0137 221. The application fee deposit is non-refundable.  (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, (Ms Konstantina Chatzipanagiotou)

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

Applications are accepted until August 14th, 2017. Places are limited.

For clarifications and any other information, interested parties may contact the Secretariat or the Director via e-mail or phone. Information about the program can be found at http://datascience.aueb.gr/

Program Structure

The Part Time (PT) program is a 2-year program. Students need to complete 75 units of coursework, of which 40 units of core courses and 35 units of electives. Full courses are worth 5-7 units, half courses are worth 3 units. 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.

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 4 3- hour lectures and a final exam.

Required classes take place twice a week, 6:00-9:00pm. Attendance of lectures and laboratory sessions is mandatory. The maximum number of students per academic year is forty (40).

Tuition Fees

The Part Time (PT) program fees are €7500, payable as follows:

 €2000 upon enrollment in the Program (October 2nd)

 €3500 to be paid by February 9th of the first year,

 €2000 to be paid by June 8th of the first year

Tuition fees are non-refundable. Program LAEK of OAED funds part of tuition fees for a number of students, if the necessary conditions apply. A limited number of merit-based scholarships is available.