The American College of Greece
Master of Science in Data Science
Athens, Greece
MSc
DURATION
3 years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
EUR 10,080
STUDY FORMAT
On-Campus
* Starting dates are September, January and April. There is no deadline, it is on rolling admission.
Key Summary
About: MS in Data Science at The American College of Greece holds NECHE accreditation and Open University approval. Based in Athens' laboratory, the programme blends applied mathematics, computer science, statistics and business information skills. It offers hands-on labs, free Microsoft software, instructors and bridge courses for non-IT students. Students analyze transactional, text and image data to produce actionable insights.
Career Outcomes: Graduates enter analytics and data engineering roles: Business Data Analyst, Data Engineer, Data Scientist, and Big Data Engineer. Employers include IT, finance, insurance, retail, professional services and start-ups. Career services connect students to 50,000 ACG alumni and Alba support.
The MS in Data Science is a cutting-edge program that provides advanced knowledge and practical skills in the science of Big Data. 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.
- 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, and talks.
- 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 the Microsoft alliance
- Instructors with international teaching and research experience
- Appropriate for students with a non-IT background with preparatory bridge courses
Required Courses
- Introduction to Big Data
- Exploring and Analyzing Data
- Applied Machine Learning
- Data Visualization
- Knowledge Graphs
- Big Data Architectures
- Search Engines and Web Mining
- Machine Vision in Data Science
- Natural Language Processing
Two of the following electives
- Strategic Thinking for Data Scientists
- SAS Platform for Business Analytics
- Deep Learning
- Machine Learning and Applications
Required Project – Year 2
- Capstone Project
or - Thesis
Upon successful completion of this program, participants should be able to:
- Critically evaluate the techniques for storing and processing big volumes of data, including transaction business data, text data, and images, and apply the relevant tools.
- Analyze the basic machine learning techniques and apply the relevant tools.
- Articulate business problems using data science techniques.
- Design a comprehensive data science solution and assess it both from a technical and a business perspective.
- Successfully complete a research project in big data or in data science.
- Formulate ideas and arguments and communicate them effectively both in writing and orally in an academic or business context
- Undertake programming at an advanced level: use advanced algorithms, practice distributed computing, and use no-SQL databases.
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.
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 quality education, regardless of their financial circumstances.
Discounts
All ACG alumni are entitled to a 10% tuition fee discount on top of any other scholarship or 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.
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 Analyst, 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.
Deree graduate students receive support from the Office of Career Services, which helps them connect with the 50,000 ACG alumni around the globe, expand their professional network, and gain access to various job positions. Our graduate students and alumni may also benefit from the Alba Graduate Business School Services, including career coaching, participation in career events and workshops, participation in the Alba annual career forum, one-to-one career advice sessions, and a direct mail list for job posts and career advice.
The program is ideal for recent university or college graduates of information technology, engineering, economics, and science, or for working professionals in IT who wish to advance their careers in data science or big data. Students coming from different backgrounds, such as business or social sciences, are also encouraged to apply. Students who do not have previous programming or mathematical/statistical background may be asked to complete courses from the Graduate Certificate in Computer Science, which provides them with the basic foundations required to enter the program.