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Program Overview

CyI PhD in Computational Sciences


The COS program aims at providing highly interdisciplinary training to educate researchers to use advanced computational and data methodologies to solve complex scientific, and engineering problems. It provides a unified approach to modelling, high performance computing and data science and artificial intelligence-based approaches. Through modeling, simulation, machine learning and the study of specific phenomena, the program delivers cross-disciplinary knowledge but also domain-specific depth in fields like computational fundamental physics, climate modelling, computational fluid dynamics, computational biology, materials science, computational economics and digital cultural heritage. The program provides the necessary educational setting where excellence in education and research are fostered through interdisciplinary collaboration.

 

Learning Outcomes

The program produces researchers who will be leaders in Computational Science with specialization in important fields that require High Performance Computing and Artificial Intelligence. They learn to apply computational modelling and simulation, develop numerical algorithms, understand high performance computer architectures, use data, optimization, error quantification and statistical analysis to provide insights to the world’s most complex systems, such as Earth Systems Science, Fundamental properties of matter, Biotechnology, Genomics and Drug Design, Digital Cultural Heritage and Economic Science.


Program Structure and Requirements

The PhD in Computational Sciences is a full-time, 3-year program, structured in six semesters. It is primarily based on research leading to a written thesis, with taught elements being restricted to the beginning of the program.

The language of instruction and communication of the program is English.

To satisfy the requirements of the program, students require a total of 180 ECTS, of which 160 ECTS derive from research and 20 ECTS derive from the taught component. Specifically, 20 ECTS are earned through a mandatory course worth 10 ECTS, taken during the first semester, and through elective course(s) worth 10 ECTS, taken during semesters 1-3.

YEAR 1

Fall
Semester
YEAR 1

Spring
Semester
YEAR 2

Fall
Semester
YEAR 2

Spring
Semester
YEAR 3

Fall
Semester
YEAR 3

Spring
Semester

Course Requirements Component (20 ECTS)

1 Mandatory Course
(10 ECTS)
taken during Semester 1

         

1 or 2 Elective Courses (total 10 ECTS)
taken during Semester 1-3

     

Research Component (160 ECTS)
Research conducted throughout program

 

At end of Year 1 students take Comprehensive Examination

     

At end of program students must pass their Doctoral Examination *

* Before the student can defend their PhD thesis, they must have successfully completed their coursework, completed the Comprehensive Examination and have submitted two scientific publications (one submitted, one accepted) in appropriate for each doctoral program international journals.


The information provided in this table is indicative

 


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Program Courses

The list of courses below is not exhaustive. Students will have the option to select elective courses from any one of the other five degree programs offered by the Graduate School of The Cyprus Institute.

Course Code
Course Name
ECTS
Course Type

COS 500

Frontiers & Methodologies in Computational Sciences

10

M

COS 504

Simulations for Physical Systems

5

E

COS 506

Quantum Computing for Physical Systems

5

E

COS 510

Computational Approaches for Complex Molecular Systems

5

E

COS 514

Advanced Topics in Computational and Mathematical Biology

5

E

COS 518

Climate Modelling

5

E

COS 522

Computational Methods for Quantum Field Theories

5

E

COS 524

Large-scale Simulations for Lattice Quantum Chromodynamics

5

E

COS 528

Computational Fluid Dynamics - Finite Difference and Volume of Fluid Methods

5

E

COS 530

Computational Fluid Dynamics - The Lattice Boltzmann Method

5

E

 

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Academic Calendar


ACADEMIC CALENDAR 2020-2021

 

TERM 1/SEMESTER 1

 PhD, MSc, MSc/MPhil
16 weeks


Registration (for all degree programs)

30 September 2020

Commencement of Lectures

5 October 2020

Last day to select courses

9 October 2020

Last day to withdraw from a course

3 weeks after classes begin

Winter Break

24 December 2020 - 6 January 2021

End of Lectures

22 January 2021

Revision Week

25 - 29 January 2021

Evaluation/Examination Period

1 - 5 February 2021

End Term

5 February 2021

TERM 2/SEMESTER 2

PhD, MSc, MSc/MPhil

16 weeks

Registration (for PhDs)

3 February 2021

Commencement of Lectures

8 February 2021

Last day to select courses

12 February 2021

Last day to withdraw from a course

3 weeks after classes begin

Spring Break

26 April - 7 May 2021

End of Lectures

28 May 2021

Revision Week

31 May - 4 June 2021

Evaluation/Examination Period

7 - 11 June 2021

End Term

11 June 2021

TERM 3

PhD, MSc, MSc/MPhil

16 weeks

Commencement of Term

14 June 2021

Viva Preparation Week for MSc

20 - 24 September 2021

Viva for MSc

27 September - 1 October 2021

End of Term

1 October 2021

TERM 4

MSc/MPhil

16 weeks

Commencement of Term

4 October 2021

Winter Break

24 December 2021 - 6 January 2022

End Term

4 February 2022

TERM 5

MSc/MPhil

8 weeks

Commencement of Term

7 February 2022

Viva Preparation Week for MSc/MPhil

21 - 25 March 2022

Viva for MSc/MPhil

28 March - 1 April 2022

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

The Academic Calendar is subject to change

  +  Academic Calendar 2021-2022

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