Master in Data Science
Belgrade, Serbia
Master degree
DURATION
2 semesters
LANGUAGES
English, Serbian
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
STUDY FORMAT
* Applications are open throughout the year
Key Summary
About: Singidunum University's Master in Data Science teaches Python, R, MongoDB, Spark, and Hadoop and covers Introduction to Data Science, Programming Languages, Big Data Management, Advanced Databases, visual and textual data research, and system synthesis. The two-semester programme includes electives, an internship, a research paper, six exams, two integrative project assignments (one per semester) and a master's thesis; project work can feed into the thesis and graduates receive the master's title.
Career Outcomes: Graduates can work as data scientist, data analyst, machine learning engineer, data engineer, or business intelligence developer across tech, finance, healthcare, biotech, consulting, and research institutes globally.
People specializing in data analysis and conversion (data scientists) are the most sought-after experts in the companies such as Microsoft, Nordeus and Seven Bridges Genomics, which has made this profession the most promising one of the 21st century, with an estimated average salary of $ 116,840. Data science brings in the most popular and cutting-edge programming languages such as Python, R, MongoDB, Spark, and Hadoop.
The Data Science study program is a unique master’s degree program in Serbia, on a par with the best quality programs in Europe and the world. This program is thought in the Serbian and English Language. The program instructs candidates to design intelligent mobile and web applications, based on extremely large data sets (Big Data). Lecturers whose expertise and publications place them among the most promising young scientists in the region, use their immense enthusiasm to help candidates achieve the highest academic goals and adopt hands-on required by the highest paying jobs in the country and abroad.
Upon successfully completing the studies, students acquire the title Master Software Engineer.
Curriculum
I semester
Mandatory
- Introduction to Data Science
- Programming Languages
Elective course 1
- Big Data Management
- Advanced Databases
II semester
Elective course 2
- Researching Visual Data
- Researching Textual Data
- Research Paper
- Data Science System Synthesis and Evaluation
Mandatory
- Internship
- Master’s Thesis
The candidate takes six exams. The first project assignment integrates three courses from the first semester, whereas the second one integrates three courses from the second semester.
During the semester, the candidate defines the topic for his/her master’s thesis. The project assignments from the first and second semester can be integrated into the master’s thesis.
