Program Overview

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- Degree Awarded
- Career Prospects
- Program Structure and Requirements
- Program Courses
- Academic Calendar

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Simulation and Data Science is a unique course in Cyprus that combines Simulation with the new field of Data Science. As computers speed up and instruments and sensors become more advanced, the amount of data collected is increasing exponentially, needing large-scale computing to analyse it. All disciplines, such as environmental, biological, chemical, physical sciences, financial economics, and the humanities are generating massive amounts of data, and only by using computational and data science we can address the current and future data challenges.

The Master of Science in Simulation and Data Science is a program that will provide a unique interdisciplinary approach to solve critically important problems, using applied mathematics, physics, chemistry, biology, statistics and computing. Through modeling, simulation, data mining, and study of specific phenomena via computer analysis, students will learn to apply computation and data analytics to gain new insights.

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The objective of the program is to prepare students for a career as computational and data scientists in the private or public sector in fields such as physical sciences, life sciences, environmental science, health, medicine, and digital humanities. Students may also pursue doctoral studies in a variety of computational and data science related fields.

Combining theoretical with practically focused training in mathematical and statistical modeling, machine learning, feature engineering, programming, data management and visualization, the Master of Science in Simulation and Data Science program aims to provide a well-rounded education for students who wish to advance in the data science field.

Degree Awarded

Students who graduate form the program will be awarded an MSc degree. This is a one year / 90 ECTS program. The program is accredited by The Cyprus Agency of Quality Assurance and Accreditation in Higher Education.

The language of instruction and communication of The Cyprus Institute is English.

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Career Prospects

Program alumni will be prepared for a career as computational and data scientists in the private or public sector in fields such as environmental science, health, medicine, digital humanities, market modeling.

Qualified students may continue on to a PhD, which offers generous financial support options.

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Program Structure and Requirements

MSc Degree
Term 1 (Fall Semester)	ECTS
3 Mandatory Courses	30
Term 2 (Spring Semester)	ECTS
1 Mandatory Course	10
2 Elective Courses	20
Term 3 (Summer Period)	ECTS
Research Project including submission of Master's Thesis and Viva*	30

*The Research Project can start earlier following a discussion and approval of the Supervisor.

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Program Courses

Mandatory Courses		ECTS
SDS 401	Mathematical Modeling and Algorithms	10
SDS 402	Introduction to High Performance Computing	10
SDS 403	Fundamentals of Data Science and Statistics	10
SDS 404	Machine Learning and its Applications	10
Elective Courses
SDS 416	Visualization and Advanced Data Structures	10
SDS 417	Advanced Computer Architectures	10
SDS 418	Deep Learning Approaches	10
SDS 419	Modeling and Simulation for Scientific Applications	10
Students who continue on to a PhD at The Cyprus Institute may have certain courses, and possibly research requirements waived, resulting in a shorter PhD program. The Cyprus Institute Graduate School reserves the right to make any changes to the program upon approval of the Ministry of Education, Culture, Sport and Youth.