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Graduate Diploma in Data Science

Introduction

The Graduate Diploma in Data Science at ACT - The American College of Thessaloniki, aims to provide its participants with the necessary skills to comprehend big data through hands-on practice, enabling them to deliver their expertise on multiple scientific domains. Through this hybrid delivery program, you will develop an up-to-date understanding of modern data analytics, learn the foundations of data analysis, develop and practice basic and advanced methods for analysis through the use of relevant tool sets, as well as delve into the fascinating world of Machine Learning.

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Who should consider this certificate

The Graduate Diploma in Data Science is designed for professionals from diverse backgrounds such as Science (Mathematics, Physics, Chemistry, Biology), Engineering, Bio-medicine, Computer Science, Pharmaceutical and Medical sector, etc., willing to enhance their personal skills and expertise on the state-of-the-arts area of Big Data and Artificial Intelligence and directly apply this knowledge to their respective fields. The flexibility provided by the hybrid format of this program, allows candidates to balance their studies with their busy schedules and sustain their work-life balance. This certificate is an ideal choice for those seeking to make a positive impact in their organizations and industries.

Learning objectives

  • Develop a deep understanding of the principles and practices of Data Science, Big Data and Artificial Intelligence.
  • Design and implement strategies for problem solving and decision making.
  • Evaluate the effectiveness of different schemes and methodologies relevant to Big Data, Data Analytics, Databases and Artificial Intelligence.
  • Understand the role of Data Science in real-life systems.

Career outcomes

Graduates of the Graduate Diploma in Data Science will be capable of pursuing careers and roles in a wide range of industries. Their skills, knowledge and competences are highly valued by today’s competitive market, and will provide the graduates of this program the opportunity to pursue careers as Big Data Engineers, Data Architects, Database Managers, Data Scientists, Data Analysts, Database Developers, Machine Learning Engineers, Research Scientists and NLP Engineers, in diverse sectors such as Computer Science, Bio-medicine, Medicine, etc.

Courses included

Delivery

Flexible Delivery: One week face-to-face and one week online teaching (synchronous teaching and asynchronous work)

Fall 2024 - Term 2

Date Course Time Slot Delivery Format
Friday, November 29, 2024 MSDS 600 18:00 - 22:30 Face-to-Face
Saturday, November 30, 2024 MSDS 610 11:00 - 15:30 Face-to-Face
Friday, December 6, 2024 MSDS 600 18:00 - 20:00 2-hours online + asynchronous
Saturday, December 7, 2024 MSDS 610 11:00 - 13:00 2-hours online + asynchronous
Friday, December 13, 2024 MSDS 600 18:00 - 22:30 Face-to-Face
Saturday, December 14, 2024 MSDS 610 11:00 - 15:30 Face-to-Face
Friday, December 20, 2024 MSDS 600 18:00 - 20:00 2-hours online + asynchronous
Saturday, December 21, 2024 MSDS 610 11:00 - 13:00 2-hours online + asynchronous
Friday, January 17, 2025 MSDS 600 18:00 - 22:30 Face-to-Face
Saturday, January 18, 2025 MSDS 610 11:00 - 13:00 Face-to-Face
Friday, January 24, 2025 MSDS 600 18:00 - 20:00 2-hours online + asynchronous
Saturday, January 25, 2025 MSDS 610 11:00 - 13:00 2-hours online + asynchronous
February 3-7, 2025 Reading week and Final Examinations. Dates to be announced.

Spring 2025 - Term 3

Date Course Slot Delivery
Friday, February 14, 2025 MSDS 650 18:00 - 22:30 Face-to-Face
Saturday, February 15, 2025 MSDS 680 11:00 - 15:30 Face-to-Face
Friday, February 21, 2025 MSDS 650 18:00 - 20:00 2-hours online + asynchronous
Saturday, February 22, 2025 MSDS 680 11:00 - 13:00 2-hours online + asynchronous
Friday, February 28, 2025 MSDS 650 18:00 - 22:30 Face-to-Face
Saturday, March 1, 2025 MSDS 680 11:00 - 15:30 Face-to-Face
Friday, March 7, 2025 MSDS 650 18:00 - 20:00 2-hours online + asynchronous
Saturday, March 8, 2025 MSDS 680 11:00 - 13:00 2-hours online + asynchronous
Friday, March 14, 2025 MSDS 650 18:00 - 22:30 Face-to-Face
Saturday, March 15, 2025 MSDS 680 11:00 - 13:00 Face-to-Face
Friday, March 21, 2025 MSDS 650 18:00 - 20:00 2-hours online + asynchronous
Saturday, March 22, 2025 MSDS 680 11:00 - 13:00 2-hours online + asynchronous
March 31 - April 4 Final Examinations. Dates to be announced.

Admission requirements

  1. A Bachelor's degree from an accredited institution in Biology, Engineering, Information Technology, Economics, Business, Mathematics, Psychology or other Science.
  2. A CV should be submitted along with the application form.
  3. Proficiency in the English language evidenced through a B2 certification in English Language. ACT graduates and graduates from other accredited English-speaking institutions are not required to submit evidence of Proficiency in the English language.
  4. Basic Knowledge of Python

If you have already set up your mind and wish to apply to this program, please submit the application available here.

Completion requirements

To successfully complete this diploma program, students must achieve a minimum GPA of 2.33 in the four courses taken. Note: A GPA of 2.33 is equivalent to a C+.

Continue your education with an MS at Regis University

Regis University shall accept into its MS in Data Science program any recipient of ACT’s Graduate Diploma in Data Science who properly applies to Regis for admission, fulfills all applicable admission requirements, including, but not limited to, demonstrating through an official transcript issued by ACT that s/he maintained a cumulative grade point average of 3.0 or higher at ACT.

Regis University has been designated as a National Center for Excellence in Information Assurance Education by the NSA and DHS since 2007, is home to ABET- and GAC-accredited programs, and we're proud to produce graduates at both the undergraduate and graduate level who continue on to become leaders and stewards of society.

The MS in Data Science offered at Regis University has been selected as one of the Best Online Master's in Data Science Programs, as well as Most Affordable Master's in Data Science in 2023 (source: Fortune Education).

For more information

Reach out with any questions or concerns about the program:

ACT Admissions Office
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Tel: (+30) 2310 398 398

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17 Sevenidi St.
55535, Pylaia
Thessaloniki, Greece
Tel. +30 2310 398398
P.O.Box 21021
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.