Informatics

The scientific name sthe qualification the student obtains upon completion of the study programDoctor of Natural and Mathematical Sciences, specialty in Informatics

The elaboration for the doctoral studies in Informatics can be found at the following LINK

Structure of the Study Program

Table 1. Structure of the study program

Structure of the Doctoral Study Program
semester	RB or code	Title of the subject/activity	Type of item / activity (mandatory / optional)	Number of ECTS credits	Subject/Activity Affiliation in accordance with the ZVO
First semester	1	Ethics in Scientific Research in Informatics	mandatory	3	academic training
	2	Methodology of Scientific Research in the Field of Informatics	mandatory	3	academic training
	3	Course for acquiring general knowledge and research skills from the university's list of elective courses.	electoral	6	academic training
	4	Course from the study program for acquiring advanced knowledge	electoral	6	academic training
	5	Course from the study program for acquiring advanced knowledge	electoral	6	academic training
	6	Course from the study program for acquiring advanced knowledge	electoral	6	academic training
TOTAL:				30
Second semester	7	Course from the study program for acquiring advanced knowledge	electoral	6	academic training
	8	Course from the study program for acquiring advanced knowledge	electoral	6	academic training
	9	Research work under mentorship (preparation of a doctoral project proposal)	mandatory	14	Independent research project under supervision (doctoral project)
	10	First Annual Conference	mandatory	4	Lectures and other types of communication activities
TOTAL:				30
Third semester	11	Proposed Doctoral Project	mandatory	27	Independent research project under supervision (doctoral project)
Third semester	12	First Doctoral Seminar	mandatory	3	Lectures and other types of communication activities
TOTAL:				30
Fourth semester	13	Dissertation Writing	mandatory	20	Preparation and public defense of the doctoral dissertation based on the doctoral project.
	14	International mobility	mandatory	6	International mobility
	15	Second Annual Conference	mandatory	4	Lectures and other types of communication activities
TOTAL:				30

Table 2. Elective courses for acquiring generic research knowledge and skills from the university's list of elective courses for third-cycle studies (Course 3 in Table 1).

Roman numeral.	Code	Subject	Semester	ECTS	Teacher
1		Writing a scientific research paper	first	6	Prof. Dr. Smile Markovski Prof. Dr. Marjan Guшев
2		Managing a scientific research project	first	6	Prof. Dr. Anastas Mishov
3		Statistical Methods in Research	first	6	Professor Dr. Zhaneta Popesk Professor Dr. Maria Mihkova Associate Professor Dr. Biljana Toytovska Ribarski

Table 3. Elective courses for acquiring generic research knowledge and skills from the university's list of elective courses for third-cycle studies (Course 3 in Table 1).

Roman numeral.	Code	Subject	Semester	ECTS	Teacher
1		Writing a scientific research paper	first	6	Prof. Dr. Smile Markovski Prof. Dr. Marjan Guшев
2		Managing a scientific research project	first	6	Prof. Dr. Anastas Mishov
3		Statistical Methods in Research	first	6	Professor Dr. Zhaneta Popesk Professor Dr. Maria Mihkova Associate Professor Dr. Biljana Toytovska Ribarski

Table 4. Elective courses for the Computer Science program (Courses 4–8 from Table 1)

Roman numeral.	Code	Subject Title	Semester	ECTS
1	Inf-S1	Algebraic Structures for Computer Science	I or II	6
2	Inf-S2	Assistive Technologies	I or II	6
3	Inf-S3	Bioinformatics	I or II	6
4	Inf-S23	Cloud-based electronic services	I or II	6
5	Inf-S6	Engineering, Verification, and Validation of Software Requirements	I or II	6
6	Inf-S9	Mathematical Logic and Lambda Calculus	I or II	6
7	Inf-S11	Software Process Management	I or II	6
8	Inf-S14	Advanced Cryptanalysis	I or II	6
9	Inf-S15	Advanced Aspects of Coding and Cryptocoding Theory	I or II	6
10	Inf-S10	Advanced intelligent systems	I or II	6
11	Inf-S16	Advanced e-government models	I or II	6
12	Inf-S17	Advanced Computational Methods	I or II	6
13	Inf-S18	Advanced e-learning systems	I or II	6
14	Inf-S19	Advanced techniques and computer systems for high-performance computing	I or II	6
15	Inf-S20	New trends in research on databases and big data	I or II	6
16	INF-S21	Practical optimization	I or II	6
17	INF-S24	Practical Cryptography	I or II	6
18	Inf-S22	Challenges in Intelligent Information Systems	I or II	6
19	Inf-S7	Applied Information Security	I or II	6
20	Inf-S25	Robotics	I or II	6
21	INF-S27	Software Engineering for Critical Systems	I or II	6
22	INF-S28	Statistical theory of learning	I or II	6
23	Inf-S30	Graph Theory with Algorithms and Applications	I or II	6
24	Inf-S31	Theory of random processes	I or II	6

By agreement with the mentor, the student may also select courses from the doctoral program in Computer Science and Engineering.

For more information, please contact the head of the study program, Assoc. Prof. Biljana Toytovska Ribarski, by email. biljana.tojtovska@finki.ukim.mk