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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 to participants 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 diploma

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. The Graduate Diploma in Data Science 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

Upon successful completion of the Graduate Diploma in Data Science, participants will be capable of pursuing careers and roles in a wide range of industries. Upon program completion, they will have acquired such knowledge, skills and competences that 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 and Medicine.

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.

Completion requirements

To successfully complete the academic credit-bearing Graduate Diploma in Data Science, participants must achieve a minimum GPA of 2.33 in the four courses taken. Note: A GPA of 2.33 is equivalent to a C+ (0-4 scale).

Continue your education with an MS in Data Science at Regis University

Regis University will 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).

Admission requirements

  1. A Bachelor’s degree from an accredited institution in Biology, Engineering, Information Technology, Economics, Business, Mathematics, Psychology or other Science and wish Upon program completion, the participants
  2. 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.

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

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.