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Data Science

Faculty of International Economics and Administration

Department of Computer Science
Professional area: Computing and Computer Science

 

SpecialityData Science


Awarded qualification: Data Analyst

 

Level of qualification: Master (M.Sc)

Length of programme: 1 year (2 semesters); 1.5 year (3 semesters)

 

Number of credits: 
60 credits – for Bachelors or Masters in Computer Science;
90 credits – for graduates from other professional areas.

 

Field(s) of study (ISCED-F): 0613: Software and applications development and analysis (11.3, 11.4 - 481)

 

Specific admission requirementsCompleted bachelor or master degree program in the area of Computer Science and after entrance exam.

 

Specific arrangements for recognition of prior learning:
• Information and directions:
The student presents documents for prior education or sends to Department (in paper or by email). The ECTS coordinator and members of Department prepares a suggestion for recognizing and awarding credits. 
The student also states willingness to sit for exams for the certification of skills and knowledge acquired in prior education.
A selected member of Department prepares an individual study program for the student, which reflects the number of credits awarded.

• Procedures:
- An university diploma and standard documents submitted as appropriate, and within the prescribed period;
- Online interview
- Department "Computer Science" recognizes international diplomas and certificates
- Department "Computer Science" awards adequate for curriculum credits of specialty based on the results of certification of knowledge and skills by passing exams:
- Specific for the professional field knowledge and skills at the Department "Computer Science"

 

Qualification requirements and regulations, including graduation requirements:  
In order to get their qualification students must be allocated 60 credits for those who have graduated as Bachelor in Computer Science and 90 credits for other professional areas. Graduation requirements: Development and defense of a diploma thesis. 

 

Profile of the programme:
The Master's program Data Science offers specialized training in current issues of Computer science in accordance with international, European and national criteria and requirements and needs of professionals in the field of data science. 
The training of students in this program is conducted in English only in full-time or part-time training. The subjects in the curriculum are divided into: compulsoryoptional and elective are provided by joint teams of the department and the companies: ADASTRA, AltScaleand Institute for Advanced Physical Studies, etc. 

 

Programme learning outcomes:
During the training in compulsory courses, students acquire knowledge and skills in computer science such as data analytic methods, data organization and data administration, programming for data science and IoT, data integration, semantic data, data visualization, data analysis, data quality, business intelligent analysis, ect.
Students are constantly given the opportunity to complement their professional profile through participation in workshops and master classes for new technologies with experts from practice and development of leadership skills including virtual environments. During the training students will combine auditorium and extracurricular activities under guidance of leading Bulgarian and foreign lecturers.

 

Programme structure diagram with credits *:

 

ECTS Code

Course Title

Lectures and seminars

Out-of-class workload

Number of credits

1

QMS3076

Probability and Statistics

75

150

7.5

2

INF3288

Computer Architecture and Operating Systems

45

90

4.5

3

INF3294

Computer Networks and Communications

45

90

4.5

4

INF3410

Relational databases

60

120

6

5

INF3399

Programming

75

150

7.5

Adjustment Semester

300

600

30

1

INF 3399

Programming for Data Science

90

180

9

2

INF 3414

Semantic Data

45

90

4.5

3

INF 3410

Database 

60

120

6

4

 

Research and Development Internship

25

50

2.5

5   Data Science in Practice Master Class 30 60 3
6   Electronic sports   60 2

7

 

Optional Course

30

60

3

Total for semester I

300

600

30

1

INF3488

Information Management Master Class

30

60

3

2

INF 3413

Distributed and Cloud Computing

30

60

3

4

 

Elective Course 1

30

60

3

5

 

Elective Course 2

30

60

3

6

 

Master Thesis Development

 

450

15

Total for semester II

150

750

30

 

 

Total for the entire course of study :

450

1350

60

 

 

Elective courses, students choose 2

 

 

 

1

 

Exclusion of knowledge from data

30

60

3

2

INF 3419

Cryptography

30

60

3

3

INF3499

High Performance Scientific Computing

30

60

3

4

 

Smart sities

30

60

3

5

 

Learning from processes

30

60

3

 

 

Optional courses, students choose 1

 

 

 

1

 

 Data Security

30

60

3

2

INF3500

Neuroscience

30

60

3

3

 

Biomedical imaging Processing and Analysis

30

60

3

4

 

Internship

30

60

3

 

In Varna Free University, a credit equals 30 lessons, of which 10 contact hours (lectures and seminars) and 20 hours independent work.

 

 

Mode of study:
full-time, part-time, distance learning

 

Examination regulations and grading scale: The regulations are specific to each course (project or task; individual or group assignments, research papers, tests, project assignment, etc.).

 

Obligatory or optional mobility windows: Students can participate in Erasmus student mobility, which enables them to get to know European practices and to receive training for a successful career in international teams.

 

Work-placement: R&D internship, simulated practice in case studies; part-time practices in companies

 

Work-based learning: Students in the Master's program will have the opportunity during their education to participate in a number of initiatives with Bulgarian and foreign companies to support their achievement through new contacts, provocations, competitions, as well as master classes organized by the Department. Additionally, it will be given the opportunity to acquire professional certifications in the field.

 

Occupational profiles of graduates:
Successful graduates can work effectively as data scientists, data analysts, database administrators, data integrators, database architects, data quality assurance, data engineers, software engineers, information management experts, experts in business intelligent analysis, manager at data centers and others.

 

Access to further studiesGraduates can enter PhD programmes.

 

More information on Data Science Education at Varna Free University 
http://datascience.vfu.bg

 

Head of Department: 
M.Sc. Data Science Programme Director: 
Assoc. Prof. Galina Momcheva, PhD
Contact hours: Wednesday, room TI
Tel.:- +359 52 359574; +359 888 793785
e-mail: galina.momcheva@vfu.bggmomcheva@gmail.com

 

Contacts with Department of Computer Science
Secretary: Eng. Pavleta Krasteva
Tel.: +359-52 359564; +359 878 417494
е-mail: cse@vfu.bgpavleta.krasteva@gmail.com