The program structure of the Master of Science in Data Science and Business Analytics comprises educational activities for a total of 120 credit points and has two tracks:
• Business Analytics
• Data Science
During the first year of studies, in the period 9 - 22 January 2024 students must choose between the two curricula.
Students who wish to change the first year track choice must sit all compulsory exams required for the new track. In this case track compulsory courses previously taken and passed can be recognized as elective courses or as additional courses.
The program structure is valid for the students initially enrolled in the academic years of reference for this section.
First year of studies
Track - Data Science
| |
I semester
|
|
|
Code
|
Course title
|
CP
|
|
20595
|
Business analytics
|
8
|
|
20591
|
Computer programming and database systems
|
8
|
|
20594
|
Econometrics for big data
|
8
|
|
20592
|
Statistics and probability
|
8
|
| |
II semester
|
|
|
Code
|
Course title
|
CP
|
|
20159
|
Behavioural skills seminars
|
2
|
|
20602
|
Computer science (Algorithms)
|
6
|
|
20593
|
Innovation and marketing analytics
|
6
|
|
20596
|
Machine learning
|
8
|
|
20603
|
Optimization
|
8
|
| |
Total of credit points provided for in the first year
|
62
|
Second year of studies
|
Code
|
Course title
|
CP
|
|
20601
|
Digital privacy seminar (*)
|
2
|
|
20605
|
Machine learning II (**)
|
6
|
|
20604
|
Stochastic processes (***)
|
8
|
| |
Language (lessons + exam1st sem 2nd year)
|
4
|
| |
II semester
|
|
|
Code
|
Course title
|
CP
|
| |
Thesis
|
18
|
| |
First or second semester
|
|
| |
2 elective courses
|
12
|
| |
Internship or similar activities
|
8
|
| |
Total CP of the second year of studies
|
58
|
(*) In case of programs abroad an educational activity without correspondence can also be recognized (Subject Group IUS/08), subject to approval by the MSc Program Director.
(**) In case of programs abroad a course without correspondence can also be recognized but it must refer to the Subject Group FIS/02 and be approved by the MSc Program Director.
(***) In case of programs abroad a course without correspondence can also be recognized but it must refer to the Subject Group SECS-S/01 and be approved by the MSc Program Director.
Some highly-motivated and deserving MSc students will be allowed to include up to three PhD courses in their study plan. Of these, they can request recognition of 1 course in place of an MSc elective and 2 course as an additional ones. For detailed information on how to choose such courses, rules, administrative deadlines and recognition procedures see "Higher Level Courses".
Some opportunities to study abroad such as Exchange programs lasting one semester programs are offered (see "International Opportunities").
For detailed information about language see "Languages".
Track - Business Analytics
The program structure is valid for the students initially enrolled in the academic years of reference for this section.
First year of studies
| |
I semester
|
|
|
Code
|
Course title
|
CP
|
|
20595
|
Business analytics
|
8
|
|
20591
|
Computer programming and database systems
|
8
|
|
20594
|
Econometrics for big data
|
8
|
|
20592
|
Statistics and probability
|
8
|
| |
II semester
|
|
|
Code
|
Course title
|
CP
|
|
20159
|
Behavioural skills seminars
|
2
|
|
20593
|
Innovation and marketing analytics
|
6
|
|
20596
|
Machine learning
|
8
|
20597 |
Natural language processing
|
6
|
20599 |
Simulation and modeling
|
8 |
| |
Total of credit points provided for in the first year
|
62
|
Second year of studies
| |
I semester
|
|
|
Code
|
Course title
|
CP
|
|
20600
|
Deep Learning for Computer Vision (*)
|
6
|
|
20601
|
Digital privacy seminar (**)
|
2
|
|
20598
|
Finance with big data (***)
|
8
|
|
|
Language (lessons + exam 1st sem 2nd year)
|
4
|
| |
II semester
|
|
|
Code
|
Course title
|
CP
|
| |
Thesis
|
18
|
| |
I or II semester
|
|
| |
2 electives courses
|
12
|
| |
Internship or similar activities
|
8
|
| |
Total CP of the second year of studies
|
58
|
(*) In case of programs abroad a course without correspondence can also be recognized but it must refer to the one of the following Subject Groups SECS-P/08, SECS-P/10 and be approved by the MSc Program Director.
(**) In case of programs abroad an educational activity without correspondence can also be recognized (Subject Group IUS/08), subject to approval by the MSc Program Director.
(***) In case of programs abroad a course without correspondence can also be recognized but it must refer to the Subject Group SECS-S/06 and be approved by the MSc Program Director.
Some highly-motivated and deserving MSc students will be allowed to include up to three PhD courses in their study plan. Of these, they can request recognition of 1 course in place of an MSc elective and 2 course as an additional ones. For detailed information on how to choose such courses, rules, administrative deadlines and recognition procedures see "Higher Level Courses".
Some opportunities to study abroad such as Exchange programs lasting one semester programs are offered (see "International Opportunities").
For detailed information about language see "Languages".
