Program Overview
- Degree Awarded
- Career Prospects
- Program Structure and Requirements
- Program Courses
- Academic Calendar
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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.
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.
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.
Program Structure and Requirements
| MSc Degree |
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| 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 |
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 |
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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. |
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Academic Calendar
| TERM 1 (Fall Semester) 16 weeks: 14 weeks teaching, 1 week revision, 1 week exam |
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| October 7 - November 22, 2019 | First Slot |
| November 25 - November 29, 2019 | Revision Week |
| December 2, 2019 - January 31, 2020 | Second Slot |
| December 23, 2019 - January 6, 2020 | Winter Break |
| February 3 - February 7, 2020 | Evaluation - Examination Period for Term 1 |
| February 7, 2020 | End of Term 1 |
| TERM 2 (Spring Semester) 16 weeks: 14 weeks teaching, 1 week revision, 1 week exam |
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| February 10 - March 27, 2020 | First Slot |
| March 30 - April 3, 2020 | Revision Week |
| April 6 - June 5, 2020 | Second Slot |
| April 17 - May 1, 2020 | Spring Break |
| June 8 - June 12, 2020 | Evaluation - Examination Period for Term 2 |
| June 12, 2020 | End of Term 2 |
| TERM 3 16 weeks: 14 weeks research project, 1 week perparation for viva, 1 week viva |
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| June 15, 2020 | Beginning of Term 3 |
| August 10 - August 14, 2020 | Summer Break |
| September 28 - October 2, 2020 | Viva Preparation Week |
| October 5 - October 9, 2020 | Viva |
| October 9, 2020 | End of Term 3 |
The Academic Calendar is subject to change.
The Cyprus Institute reserves the right to not offer the program or any of the suggested courses.
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ACADEMIC CALENDAR 2020-2021
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TERM 1/SEMESTER 1 PhD, MSc, MSc/MPhil |
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| Registration (for all degree programs) |
30 September 2020 |
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Commencement of Lectures |
5 October 2020 |
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Last day to select courses |
9 October 2020 |
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Last day to withdraw from a course |
3 weeks after classes begin |
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Winter Break |
24 December 2020 - 6 January 2021 |
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End of Lectures |
22 January 2021 |
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Revision Week |
25 - 29 January 2021 |
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Evaluation/Examination Period |
1 - 5 February 2021 |
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End Term |
5 February 2021 |
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TERM 2/SEMESTER 2 PhD, MSc, MSc/MPhil 16 weeks |
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|
Registration (for PhDs) |
3 February 2021 |
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Commencement of Lectures |
8 February 2021 |
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Last day to select courses |
12 February 2021 |
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Last day to withdraw from a course |
3 weeks after classes begin |
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Spring Break |
26 April - 7 May 2021 |
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End of Lectures |
28 May 2021 |
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Revision Week |
31 May - 4 June 2021 |
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Evaluation/Examination Period |
7 - 11 June 2021 |
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End Term |
11 June 2021 |
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TERM 3 PhD, MSc, MSc/MPhil 16 weeks |
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Commencement of Term |
14 June 2021 |
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Viva Preparation Week for MSc |
20 - 24 September 2021 |
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Viva for MSc |
27 September - 1 October 2021 |
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End of Term |
1 October 2021 |
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TERM 4 MSc/MPhil 16 weeks |
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Commencement of Term |
4 October 2021 |
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Winter Break |
24 December 2021 - 6 January 2022 |
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End Term |
4 February 2022 |
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TERM 5 MSc/MPhil 8 weeks |
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Commencement of Term |
7 February 2022 |
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Viva Preparation Week for MSc/MPhil |
21 - 25 March 2022 |
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Viva for MSc/MPhil |
28 March - 1 April 2022 |
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End of Term |
1 April 2022 |
Public Holidays |
2020 1 October I Cyprus Independence Day 28 October I Ochi Day 2021 15 March I Green Monday 25 March I Greek Independence Day 1 April I National Day 21 June I Whit Monday 1 October I Independence Day 28 October I Ochi Day 2022 7 March I Green Monday 25 March I Greek Independence Day 1 April I National Holiday |
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The Academic Calendar is subject to change |
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