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Degree Requirements

To graduate from this program, it is necessary to successfully complete

  • 5 must course with 13  credits, and at least 3 elective courses with 3 credits each
  • pre-thesis seminar and thesis courses 

with a total of 120 ECTS credits.

If desired, part of the coursework may be completed at a partner EU institution within the framework of the Erasmus program. 

The curricula is as follows: 

FIRST YEAR

1. Semester

2. Semester

Code

Course Name

  T

 P

 L

C

ECTS

Code

Course Name

T

P

L

C

ECTS

IE547

Modelling and Analysis of Uncertainity

  3

 0

 0

3

7.5

ADS 542

Statistical Learning

3

0

0

3

7.5

ADS 511

Statistical Inference Methods   I

  3

 0

 0

3

7.5

 

Departmental Elective

3

0

0

3

7.5

ADS 531

Information Retrieval

  3

 0

 0

3

7.5

 

Departmental Elective

3

0

0

3

7.5

 

Departmental Elective

  3

 0

 0

3

7.5

ADS 591

Seminar

0

0

0

0

5.0

 

 

 

 

 

 

 

FBE 599

Research Methods and Academic Publication Ethics

1

0

0

1

2.5

 

Total:

 12

0

 0

12

30

 

Total:

10

0

0

10

30

SECOND YEAR

1. SEMESTER

2. SEMESTER

Code

Course Name

T

P

L

C

ECTS

Code

Course Name

T

P

L

C

ECTS

ADS 592

Thesis I

0

0

0

0

30

ADS 593

Thesis II

0

0

0

0

30

 

Total:

0

0

0

0

30

 

Total:

0

0

0

0

30