Program Overview

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Introduction to the Neuroscience Program

The Neuroscience program at Medipol University is designed to provide students with advanced theoretical knowledge and scientific research abilities in the field of neuroscience. The program aims to equip students with the capacity to design, conduct, and conclude novel and independent research in neuroscience.

Program Details

Aim

The aim of the Neuroscience program is to provide students with advanced theoretical knowledge regarding the mechanisms of functioning of the nervous system from molecular level to behavior and its pathological processes. The program also aims to equip students with scientific research abilities, enabling them to design, conduct, and conclude novel and independent research in the field.

Qualification Awarded

The qualification awarded to students who complete the program is a Third Cycle (Doctorate Degree) in Neuroscience.

Registration and Admission Requirements

To be admitted to the program, students must have a Bachelor's Degree and/or Master's Degree Diploma, Academic Personnel and Graduate Education Exam (ALES) Result, and a Certificate of English Proficiency.

Graduation Requirements

Students who have successfully completed all of the courses and taken a minimum of 240 ECTS with a seminar, qualifying exam, dissertation proposal, and PhD dissertation have the right to receive a diploma.

Recognition of Prior Learning

PhD students willing to transfer to Medipol University from other institutions may get recognition for their lessons if the contents are equivalent.

Course Program

The course program includes a range of compulsory and elective courses, such as:

• Advanced Neuroanatomy
• Experimental Design and Analysis with Programming
• Advanced Cellular Neuroscience
• Seminar
• Qualifying Exam Preparation
• Further Topics in Scientific Research Preparation
• Anatomical Structural Neuroimaging
• Selected Topics in Cognitive Neuroscience
• Advanced Cognitive Neuroscience
• Toolkit: The Researcher's Toolbox
• Functional Neuroimaging
• Advanced Cognitive Electrophysiology

Program Qualification

The program qualification includes:

• Knowledge: Theoretical, factual knowledge about the structure and functioning of the nervous system.
• Skills: Cognitive, practical skills, such as defining methods used in neuroscience research, using required techniques without assistance, and developing new methods and techniques.
• Competencies: Ability to work independently and take responsibility, ability to evaluate new information, and ability to communicate effectively.

Employment Opportunities

After completing a PhD in Neuroscience, graduates can pursue careers in academic research, industry, hospitals, and healthcare organizations. They can work as researchers, consultants, or experts in artificial intelligence or neuro-computer interfaces.

Upgrading

Graduates can apply to post-doctoral programs to further their education and training.

Type of Training

The program offers full-time training, with a range of learning experiences, including lectures, demonstrations, problem-solving, self-study, and project-based learning.

Assessment and Evaluation

The assessment and evaluation methods used in the program include lecture notes and exams, thesis work, written reports, oral presentations and seminars, consultant reviews, and research skills.

Head of Department/Program

The head of the department/program is responsible for overseeing the program and ensuring that it meets its aims and objectives.

Learning Experiences

The learning experiences used in the program aim to develop students' creative, critical, reflective thinking skills and higher-level thinking skills, such as logical and mathematical thinking skills. The learning experiences include:

• Discussion method
• Demonstration method
• Problem-solving method
• Self-study method
• Question-answer technique
• Project-based learning model
• Cooperative learning
• Lecture method
• Traditional written exam
• Oral exam
• Homework
• Project task

Course-Program Competencies Relations

The course-program competencies relations are outlined in the program, with each course contributing to the development of specific competencies.

Surveys for Students

Students are surveyed to evaluate the program and provide feedback on the teaching and learning experiences.

Numerical Data

The numerical data for the program includes the number of students by year, student success rates, and graduate success rates.