Bioinformatics (3+1+1)
1. General information
Master studies in bioinformatics will enable students to understand, develop and use advanced algorithms and techniques for analysis, indexing, retrieval and use of data from biological databases, and modeling of events and processes that occur at the level of cell,organ or organism, including the latest technologies in the areas of databases, molecular biology, genetics and machine Intelligence.
- Offered by: Ss. Cyril and Methodius University - Skopje, Faculty of Computer Science and Engineering – FCSE
- Study programme: Bioinformatics master studies
- Scientific-research field: Engineering and Technology
- Category: Computer engineering and informatics
- Sub-category: Other
- The master studies cycle consists of 60 ECTS.
- Study duration: 2 semesters
- One academic year is divided into two semesters with 30 weeks each (1 semester = 15 weeks)
- The first semester is comprised of courses only, while in the second semester there are fewer courses and the rest of the time is devoted to the final project, i.e. master thesis.
- Enrollment requisites: fully completed undergraduate study cycle with a minimum of 240 ECTS with a degree in the fields of computer science and/or computer engineering. In the case of having an appropriate degree with less than 240 ECTS, the student has to enroll the introductory courses first.
- Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
- First semester: 3 compulsory courses + 2 elective courses (one of the elective courses can be chosen from the courses list offered by the University)
- Second semester: 1 compulsory course + 1 elective course (can be chosen from the courses list offered by the University only in the event that this opportunity has not been used in the previous semester) + final master thesis project that equals 18 ECTS.
- 1 ECTS = 30 hours of work load.
- Contact hours per week is 4.
Degree: Master of computer science and engineering in the field of bioinformatics
2. Introductory courses
Introductory courses: only for students that have obtained less than 240 ECTS. A number of differential introductory courses are offered in order to level up the required competences. Upon successful completion of the introductory courses, the student has the right to continue with the formal master study programme courses in the second year of studies.
Table 1: List of introductory courses
|
Course
|
Semester
|
ECTS
|
Предуслов
|
1 |
Linear transforms |
VII |
6 |
Mathematics 2 |
2 |
Probability and statistics
|
VII
|
6
|
Discrete mathematics |
3 |
Artificial intelligence |
VII
|
6
|
- |
4 |
Elective course 1 |
VII
|
6 |
- |
5 |
Elective course 2 |
VII
|
6 |
- |
6 |
WAN networks
|
VIII
|
6
|
Computer networks
|
7 |
Information systems
|
VIII
|
6
|
Databases
|
8 |
Elective course 3 |
VIII |
6 |
- |
9 |
Elective course 4 |
VIII |
6 |
- |
10 |
Elective course from University list of available courses |
VIII |
6 |
- |
Table 2: List of elective introductory courses
|
Course
|
Semester
|
ECTS
|
Предуслов
|
1 |
Modelling and simulation
|
VII
|
6
|
Mathematics 2 |
2 |
Computer graphics |
VII
|
6
|
Object-oriented programming |
3 |
Introduction to robotics
|
VII
|
6
|
-
|
4 |
Web-based systems
|
VII
|
6
|
Network programming
|
5 |
Web design |
VII |
6 |
- |
6 |
Visualization |
VII |
6 |
Object-oriented programming |
7 |
Geographic information systems
|
VIII |
6 |
Databases |
8 |
Virtual reality |
VIII |
6 |
Human computer interaction |
9 |
Mobile information systems |
VIII |
6 |
Databases, Distributed computer systems |
10 |
Computer animation |
VIII |
6 |
Computer graphics |
11 |
Intelligent information systems |
VIII |
6 |
Databases |
12 |
Biocybernetics |
VIII |
6 |
Artificial intelligence |
2.1 Studies
Courses for the Master studies for the study programme Bioinformatics can be found at
this link.