Duration

1 year

Monitoring Method

Full-time

Language of Delivery

Greek

Start Date

October 2024

Location

Online, from distance

Description

This master’s degree program was designed as a bridge between undergraduate studies and doctoral research in Cognitive Neuroscience, Experimental Psychology and Neuroimaging methods.

As graduate students, you will learn to design, analyze and evaluate neuroimaging experiments, which contribute to our understanding of the brain mechanisms that underpin aspects of cognition and behavior such as memory, attention, object recognition, cerebral neurodegeneration and injury. You will receive an in-depth training in Cognitive Neuroscience research, an introduction to Neuroimaging principles and hands-on experience in Structural and Functional Magnetic Resonance Imaging (sMRI and fMRI), Electroencephalography ( electroencephalography-EEG) and Transcranial Direct Current Stimulation (tDCS).

The program is offered in partnership with Swansea University, which is ranked 20th in the UK in research according to The Times and Sunday Times Good University Guide 2022.

Objective of the program

  • You will receive a comprehensive and in-depth understanding of Cognitive Neuroscience, guided by academics and practitioners, specialized in the fields of research and clinical practice, including the fields of Clinical Psychology, Health Psychology, Neuropsychology, Neuroscience, Brain Injury, sleep, and Developmental Psychology.
  • You will gain knowledge of current research practices and findings, as well as theoretical developments in the field of Neuroscience, while the wide range of modules will help tailor your studies to your particular interests and goals for further research and study.
  • You will form your academic foundation for future doctoral level studies. Upon completion of the program, you will be able to apply to any PhD program related to Cognitive Neuroscience.
  • You will have unique networking opportunities with industry professionals and alumni.
  • You will receive a high-level education, while the opportunity to attend certified seminars and workshops alongside postgraduate studies and without additional financial burden is provided, thus building a strong CV and acquiring useful practical and research skills.

Program Structure & Design

COURSE DESCRIPTION

The module provides coverage of the fundamentals of statistical analysis through a practical/conceptual rather than a theoretical approach. Instructions are given for the use of statistical data analysis programs using a PC. The aim of this approach is to ensure an understanding of the measurement concept and the ability to perform
parametric and non-parametric statistical hypothesis tests. The course leads to the ability to perform analysis of variance (ANOVA) and other advanced multivariate
statistical analyzes using a statistical program, while allowing the interpretation of said analyses.

EDUCATIONAL OBJECTIVES

• Critical application of measurement theory to psychological data
• Differentiation between nonparametric and parametric hypothesis testing
• Selecting and performing appropriate multivariate statistical analysis
• Critical evaluation of major statistical approaches in Psychology
• Critical evaluation of contemporary research in terms of experimental design and
analysis.

COURSE DESCRIPTION

The unit provides an introduction to the basic functional neuroanatomy of the human
brain. Students will be taught the principles governing the anatomical organization and
functional division of the brain. The evolutionary and developmental origins of
brain structure and function, as well as the relationship between structure and function, will be discussed.

EDUCATIONAL OBJECTIVES

• Review of basic human functional neuroanatomy
• Critical evaluation of the anatomical organization and functional compartmentalization of the
human brain
• Critical investigation of the origins of brain structure and function
• Critical evaluation of the mapping of brain function structurally to the brain.

COURSE DESCRIPTION

Non-invasive brain stimulation techniques provide the way to
directly influence the way the brain works, and therefore have received much attention in
various cognitive and clinical disciplines. The section provides a comprehensive overview
of the use of such methodology as part of Cognitive Neuroscience research. Topics
covered during the module include: the rationale for the
use of brain stimulation techniques and its effective experimental design, the
distinction between different brain stimulation techniques and the conclusions that
each method allows us to draw, the practical considerations in conducting
brain stimulation research and analyzing the results of these methods.

EDUCATIONAL OBJECTIVES

• Evaluation of brain stimulation methodology compared to other techniques
used in Cognitive Neuroscience research
• Critical exploration of the advantages and disadvantages of brain stimulation
• Compare and contrast brain stimulation techniques
• Brain stimulation experimental design

COURSE DESCRIPTION

The module provides a comprehensive overview of basic brain recording techniques,
with particular emphasis on electroencephalography (EEG) and
magnetoencephalography (MEG). Topics covered during
the module include: the rationale for using EEG and MEG, the
research questions investigated through these techniques, the confounding variables that
arise when using them, and the research design of brain recording.

EDUCATIONAL OBJECTIVES

• Assess the importance of EEG compared to alternative techniques used
in Cognitive Neuroscience research
• Critically evaluate the contemporary use of EEG
• Compare and contrast EEG techniques
• Critically explore the importance of EEG parameters when designing a
brain recording experiment.

COURSE DESCRIPTION

Neuroimaging techniques provide the means to measure brain activity
and brain structure, and as such have received much attention from various
cognitive and clinical disciplines. The section provides a comprehensive overview of the use
of this investigative methodology as part of Cognitive Neuroscience research. Topics
covered during the module include: the rationale for using
neuroimaging and the effective experimental design of such a study,
differentiating between different neuroimaging techniques and the inferences
provided by each method, practical considerations when conducting a research neuroimaging
and the analysis of the results of these methods. This module builds on and
further enriches the knowledge of the previous modules of Experimental Designs I and II.

EDUCATIONAL OBJECTIVES

• Assess the importance of neuroimaging techniques compared to alternative techniques
used in Cognitive Neuroscience research
• Critically evaluate the contemporary use of neuroimaging
• Compare and contrast neuroimaging techniques
• Critically explore the importance of parameters when designing a
neuroimaging experiment.

COURSE DESCRIPTION

Consisting of three parts, this self-directed eLearning module will
support students to settle into college and their course, helping them
focus on their goals while teaching them new skills to succeed. They will
look at college life and study, including making the most of
your time at college, how to take charge of your own learning and where to go for advice,
guidance and support. Students will also receive a solid foundation in some key
academic skills, including different learning methods to
help them thrive and practical advice on developing
their personal and organizational skills. It is also important that they are introduced to the core values ​​of good
academic practice, such as how to demonstrate good academic integrity in
their work, how to find their own voice, and different tools and strategies to
avoid accidental plagiarism.

COURSE DESCRIPTION

Cognitive Neuropsychology is a discipline that combines the fields of Cognitive Psychology and
Clinical Neuropsychology. It involves the use of cognitive models of normal
functioning to understand the cognitive impairments seen in
brain-injured populations – with the aim of achieving both a detailed understanding of a
case study’s profile and the appropriate intervention for the case at hand. Students
will be taught about the functional anatomy of the cerebral cortex and how this
information relates to the main methods of Cognitive Neuropsychology, and will also
be introduced to the key clinically based theories that underpin the understanding of
various neuropsychological syndromes such as aphasia and amnesia – knowledge that guides the
rehabilitation methods available for brain-injured populations and the
means by which appropriate rehabilitation interventions can be selected.

EDUCATIONAL OBJECTIVES

Students will be taught the types of mental disorders that can occur as a
result of brain damage, their explanations through Cognitive Neuropsychology models
, and appropriate interventions and research based on
case studies. This includes:
• Overview of the goals and approaches of the field of Cognitive Neuropsychology
• Aphasia – speech deficits as a result of brain damage, interventions and theories
• Amnesia – memory deficits as a result of brain damage, interventions and theories
• Agnosia – visual-perceptual deficits as a result of brain damage , interventions and
theories
• Executive functions – problem solving and planning deficits as
a result of brain damage, interventions and theories.

COURSE DESCRIPTION

Neuroimaging enables in vivo investigation of brain function. The
module provides students with an introduction to functional
Magnetic Resonance Imaging (fMRI) data analysis with an emphasis on univariate analysis. Students will be taught
the preprocessing and basic analysis of functional MRI data and
how to use widely used software packages such as
Statistical Parametric Mapping (SPM) and Analysis of Functional Neuro-Images (AFNI) ).

EDUCATIONAL OBJECTIVES

• Critical evaluation of the advantages and challenges of fMRI analysis
• Conducting basic fMRI data pre-processing with slice timing,
realignment, co-registration,
segmentation ), normalization and
smoothing
• Perform the basic steps, performing first and second level analysis.

COURSE DESCRIPTION

EEG enables in vivo recording of brain function. The module provides
students with an introduction to EEG data preprocessing and analysis with an emphasis on
Event-Related Potentials (ERP). Students will be taught the preprocessing
and analysis of EEG data and how to use widely used
software packages such as EEGLab, a MATLAB toolbox.

EDUCATIONAL OBJECTIVES

• Critically evaluate the advantages and challenges of ERPs
• Perform EEG data preprocessing (eg, reset, denoising (artifacts),
epoch processing, and averaging)
• Perform EEG analysis using ERP.

COURSE DESCRIPTION

The module provides a comprehensive overview of critical issues arising in
Cognitive Neuroscience, the scientific study of the biological processes of cognition
, e.g. memory, speech and emotion processing. Special
emphasis is placed on functional and structural neuroimaging, EEG and brain stimulation.
Current research issues (eg, brain-behavior interaction,
appropriate experimental design, modularity vs. brain connectivity) are discussed,
supplemented by recent research articles and studies. Students are expected to participate
in the presentation and critical review of articles.

EDUCATIONAL OBJECTIVES

• Critically evaluate the main critical issues in Cognitive Neuroscience
• Critically evaluate research methods and techniques in Cognitive Neuroscience
• Critically evaluate current research
• Synthesize information from different fields
• Identify new research directions based on existing literature

COURSE DESCRIPTION

The crisis of reproducibility that Psychology has suffered means that many established
results are not statistically robust, jeopardizing the integrity of the discipline as
a science. The section provides a comprehensive overview of these issues. Students
will learn to use the general-purpose programming language Python to
manipulate, model and visualize their data, and to ensure
that their research reports are accurate and transparent.

EDUCATIONAL OBJECTIVES

• Critical application of best practices for research openness in Psychology
• Implementation of Python code to manipulate raw data in an
analysis -ready form
• Construction and interpretation of standard statistical data analysis models
using the Python programming language (e.g., analysis of variance and
regression)
• Constructing graphical representations to interpret the data

The module covers planning, conducting and reporting a significant body
of cognitive neuroscience research relevant to any branch of cognitive
neuroscience. The thesis is intended to take the form of a scientific paper combined
with a reflective review of the research process.

You may also be interested in:

Learn more
Express your interest here! ➜