12 months
Duration
9720 USD/year
9720 USD/year
Unknown
Tuition fee
Unknown
Unknown
Apply date
Unknown
Start date

About

The MS in Data Science is a cutting-edge program that provides advanced knowledge and practical skills in the science of Big Data.

Visit the official programme website for more information

Overview

The qualifications and experience provided by the program provide local and international employment prospects at a time when there is an increasing demand for Data Scientists worldwide. 

Students learn to turn real-world data into insights, solutions, and tools that drive decision-making in organizations. Students develop expertise in analyzing various types of data including business transaction data, text data, and images. The program equips participants with a well-calibrated, theoretical, and practical synthesis of applied mathematics, computer science, statistics, and business information skills.

Unique Program Features

  • NECHE Accreditation
  • Embedded Professional Certificate in Business Intelligence and Data Mining with SAS.
  • Hands-on experience and practice in lab settings.
  • Free software through Microsoft alliance
  • Instructors with international teaching and research experience
  • Appropriate for students with a non-IT background with preparatory bridge courses

Career Opportunities

There is great demand for Data Scientists in Greece as well as internationally. Graduates of the program pursue careers in the field of data science and analytics such as: Business Data Analysist, Data Engineer, Data Scientist, and Big Data Engineer. Furthermore, they are employed in companies specializing in information technologies, finance and insurance,  retail settings, professional services, manufacturing, start-ups and more.

Programme Structure

Required Courses
  • Exploring and Analyzing Data
  • Applied Machine Learning
  • Data Visualization
  • Semantic Web
  • Big Data in Business
  • Big Data Architectures
  • Search Engines and Web Mining
  • Machine Vision in Data Science
  • Natural Language Processing
  • Strategic Thinking for Data Scientists

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 36 months

Start dates & application deadlines

Language

English

Credits

36 SCH

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • A bachelor's degree from an accredited institution in Science, Engineering, Information Technology, Economics, or Business with an average grade of B or better. Applicants with an undergraduate degree in a discipline other than these above may still be admitted if they complete coursework from the Graduate Certificate in Computer Science or any equivalent conversion program.  
  • Evidence of strong motivation to undertake graduate-level study in Data Science to be determined by the interview and the personal statement submitted with the application form.
  • Proficiency in the English language evidenced through one of the following: TOEFL, IELTS, or Proficiency. DEREE College graduates and graduates from other accredited English-speaking institutions are not required to submit evidence of Proficiency in the English language.

Tuition Fee

To alway see correct tuition fees
  • International

    9720 USD/year
    Tuition Fee
    Based on the tuition of 9720 USD for the full programme during 12 months.
  • National

    9720 USD/year
    Tuition Fee
    Based on the tuition of 9720 USD for the full programme during 12 months.

Living costs for Athens

595 - 760 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data Science
-
American College of Greece

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