Master of Science (MS) in Data Science and AI

Analyze, visualize, communicate 

Over 90% employability rate

Applications Open for Winter Term 2027

Rolling Admissions:
Next application and Libra Philanthropies Leadership Scholarship application deadline: November 27

Classes start on January 4, 2027

Program Overview

The MSc in Data Science and AI is an advanced program designed to prepare students for professional careers at the intersection of data science and artificial intelligence. The program develops expertise in analyzing complex data, building machine learning models for pattern discovery, and adapting foundation models, including Large Language Models (LLMs), for specific tasks.

Students are also introduced to core areas of artificial intelligence, including robotics, computer vision, and signal processing, with an emphasis on the design, implementation, and deployment of intelligent systems that interact with both digital and physical environments. Alongside technical expertise, the program addresses broader enterprise and societal considerations, including project management, ethics, and responsible applications of AI.

The curriculum combines theoretical foundations with practical, hands-on learning across data science, machine learning, data engineering, and artificial intelligence. Students develop the knowledge and technical skills needed to analyze real-world problems, work with different forms of data, and design effective data-driven and AI solutions.

The program is suitable for students from a broad range of academic backgrounds, including information technology, computer science, engineering, economics, business, and related disciplines.

The program is offered in a campus-based education modality.

  • Duration: One year (full-time) or up to three years (part-time).
  • Number of Courses: 12 courses (36 US credits).
  • Attendance: Classes run Monday to Thursday, from 18:30-21:30. Fridays are reserved for make-up classes and other academic activities, such as master classes, workshops, lectures, talks, etc.
  • Admission points: New students are admitted at the start of the fall, winter and spring terms
Unique Program Features
  • NECHE Accreditation
  • Hands-on experience and practice in lab settings
  • Free software through Microsoft alliance
  • Instructors with international teaching and research experience
  • Suitable for students from a range of academic backgrounds
  • Students are provided with access to a server to host AI pipelines
  • Expanded focus on Artificial Intelligence, including machine learning, Large Language Models, computer vision, robotics and signal processing
Program Structure (Curriculum)

Find details on required courses, electives, and project requirements:

Program Level Competencies

Upon successful completion of this program, participants should be able to:

  1. Critically evaluate the techniques for storing and processing big volumes of data, including transaction business data, text data and images
  2. Explain the theoretical foundations, capabilities, limitations, and applications of machine learning, deep learning, and artificial intelligence techniques across different problem domains
  3. Explain and evaluate modern approaches for the development, adaptation and deployment of AI and Intelligent systems using modern tools, and frameworks
  4. Analyze and formulate complex organizational and real-world problems using appropriate data science and/or artificial intelligence methodologies
  5. Critically evaluate, design, and justify data science and AI solutions by considering technical performance, scalability, ethical implications, and business or societal impact
  6. Critically interpret and communicate analytical results and AI model outcomes to support evidence-based decision-making
  7. Formulate ideas and arguments and communicate them effectively both in writing and orally in an academic or business context
  8. Undertake programming at an advanced level: use advanced algorithms, practice distributed computing
Tuition & Scholarships

Tuition

Tuition is payable on a course-by-course basis.

For complete information about our tuition and fees, click here.

Merit Scholarships

The School of Graduate & Professional Education offers scholarships covering a portion of the cost of tuition to all applicants who have demonstrated exceptional academic performance in their undergraduate studies.

For complete information about our merit scholarships click here.

Financial Assistance

Since its founding in 1875, The American College of Greece (ACG) has provided assistance to students needing help in meeting their educational expenses, thereby enabling students with demonstrated ability and promise to access a quality education, regardless of their financial circumstances.

For more information about financial assistance click here.

Discounts

All ACG alumni are entitled to a 10% tuition fee discount on top of any other scholarship of financial assistance program which may apply.

Corporate discount programs are also available to two or more employees from one organization who wish to study in our graduate programs.

For more information about corporate click here.

Student Profile

The program is ideal for recent university or college graduates, as well as working professionals, who wish to advance their knowledge and careers in Data Science and Artificial Intelligence. Applicants may hold a bachelor’s degree in Science, Engineering, Information Technology, Economics, Business, or a recognized equivalent, while applications from graduates of other disciplines may also be considered. Applicants are expected to have basic mathematical and programming skills.

Current Student profile

Average Age: 29.99 years
Female: 31%
Male: 69%
Student Nationality: Domestic: 92%; International: 8%
First degree obtained from: Greek AEI (59.72%); ACG-Deree (12.50%); International University (23.61%)

Career Opportunities

There is growing demand for Data Science and Artificial Intelligence professionals in Greece and internationally. Graduates of the program can pursue careers as Data Scientists, AI Engineers, Machine Learning Engineers, Computer Vision Engineers, NLP Engineers, and Data Engineers. They may work across a wide range of industries, including information technology, finance and insurance, retail, manufacturing, start-ups, and other data- and technology-driven sectors.

Deree graduate students receive support from the Office of Career Services, which helps them connect with the 70,000 ACG alumni around the globe, expand their professional network, and gain access to various job opportunities.

Faculty

  • Dimitris Vogiatzis
    Full-time Faculty – School of Science and Technology
    Computing and Mathematics
  • Nikolaos Bakas
    Full-time Faculty – School of Science and Technology
    Computing and Mathematics
  • Ioannis Christou
    Full-time Faculty – School of Science and Technology
    Computing and Mathematics
  • Vasiliki Dimitrakopoulou
    Full-time Faculty – School of Science and Technology
    Computing and Mathematics
  • Dimitrios Milioris
    Full-time Faculty – School of Science and Technology
    Computing and Mathematics
  • Evgenia Vagianou
    Full-time Faculty – School of Science and Technology
    Computing and Mathematics
  • Maira Kotsovoulou
    Associate Faculty – School of Science and Technology
    Computing and Mathematics
  • Elena Chatzimichali
    Part-time Faculty – School of Science and Technology
    Computing and Mathematics
  • Georgios Drakakis
    Part-time Faculty – School of Science and Technology
    Computing and Mathematics
  • Sofoklis Efremidis
    Part-time Faculty – School of Science and Technology
    Computing and Mathematics
  • Andreas Zaras
    Part-time Faculty – School of Science and Technology
    Computing and Mathematics

Admission Requirements

The minimum graduate admission requirements are:

1. 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 those above may still be admitted after completing some pre-required courses on the advice of the program co-ordinator. 

2. 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.

3. Proficiency in the English language, evidenced through one of the following: TOEFL, IELTS, Proficiency, or Duolingo English Test (minimum required score 125). DEREE College graduates and graduates from other accredited English-speaking institutions are not required to submit evidence of Proficiency in the English language.

Credit Transfer:
Credit transfer from previously attended graduate degree programs of accredited institutions may be allowed at a maximum limit of 9 credits and will be examined on an individual basis.

Request Additional Info

Tel.: +30 210 600 2208
E-mail: [email protected]