The Program consists of 120 ECTS units taught over four semesters of full time study. Each course in the Program is 10 ECTS units, while an optional thesis (taken in the place of three courses) is 30 ECTS units. It is expected that courses will be offered as follows, with the possibility of repeating some course offerings in both semesters: Fall Semester: Foundations, Reasoning; Spring Semester: Perception, Learning, Systems.
Students are required to take the two introductory courses under the Foundations theme (COS511, COS512), during the first semester. The remaining program comprises electives among all the other courses, as long as at least one third of the courses come from Cognitive Psychology (CP), and one third of the courses come from Computer Science (CS). It is advisable that at least one course is taken from each theme, to guarantee breadth of coverage. All elective courses, are offered subject to sufficient demand.
Students wishing to register for certain courses and obtain a certificate of completion, without an interest in gaining the full degree, can opt to do so, with pro rata tuition fees on the number of courses for which they choose to register.
Method of Instruction
Courses are taught in English using a blended distance learning methodology. Students have live online weekly meetings with their course instructors, which are recorded and available for offline viewing as well. Course forums are used to interact with the instructors asynchronously, and all relevant educational activities, course assignments and submissions, etc., are done online via the course’s educational platform. Coursework includes biweekly assignments and class projects. Εxams are administered through the e-Class Distance Learning Platform of the University, with the use of special online proctoring software.
| Programme of Study Layout | |||||||
| Modules | Semester | Required / Elective | Pre-requisite Modules | Co-requisite Modules | Workload | ||
| Hours | ECTS | ||||||
| Common for all Specializations | |||||||
| COS511 | Introduction to Cognitive Psychology | Fall | Required | 250-300 | 10 | ||
| COS512 | Introduction to Artificial Intelligence | Both | Required | 250-300 | 10 | ||
| COS513 | Computational Intelligent Systems | Fall | Elective | 250-300 | 10 | ||
| COS514 | Computational Neuroscience | Fall | Elective | 250-300 | 10 | ||
| COS521 | Cognitive Knowledge Acquisition | Spring | Elective | 250-300 | 10 | ||
| COS522 | Learning and Memory in Humans | Spring | Elective | 250-300 | 10 | ||
| COS523 | Human Perception and Attention | Spring | Elective | 250-300 | 10 | ||
| COS524 | Natural Language Processing | Spring | Elective | 250-300 | 10 | ||
| COS613 | Cognitive Agents and Reasoning | Fall | Elective | 250-300 | 10 | ||
| COS614 | Adaptive and Interactive Systems | Spring | Elective | 250-300 | 10 | ||
| COS621 | Experimental Psychology | Spring | Elective | 250-300 | 10 | ||
| COS622 | Cognitive Neuroscience | Fall | Elective | 250-300 | 10 | ||
| COS623 | Cognitive System Design | Spring | Elective | 250-300 | 10 | ||
| COS624 | Topics in Data Science | Fall | Elective | 250-300 | 10 | ||
| COS699 | Master Thesis Induction | Both | Elective | 0 | |||
| COS701A | Master Thesis I | Both | Elective | 250-300 | 10 | ||
| COS701B | Master Thesis II | Both | Elective | 500-600 | 20 | ||
| Total | 3000-3600 | 120 | |||||
| Industry Placement | |||||||
| COS695 | Industry Placement (1st) | Both | Elective | does not count towards earning the degree | 5 | ||
| COS696 | Industry Placement (2nd) | Both | Elective | does not count towards earning the degree | 5 | ||
Each student can optionally enrol, once or twice, in the free of charge Thematic Module "Industry Placement", which awards five (5) ECTS. The module offers a structured placement, designed to offer students specific industry and professional experience in their particular field of study, and to allow them to build their skills in a real-world setting.
COS695 - Industry Placement (1st placement)
COS696 - Industry Placement (2nd placement)
Request more information by contacting the OUC Career and Liaison Office here.