In addition to compulsory modules, students will be required to choose a group of optional modules from the following available:

Minor in Data science
(DS1) Programming Paradigms
(DEV2) MicroMasters®
(MIT) Full-Stack Programming
(DEV1) Show all
courses
By selecting group of optional modules, the optional modules of that group are singled out in the curriculum.

First year

Semester 1

COURSES	ECTS	Hours	Pd	Vj	Type
Innovative project 1 - Product or services ideation and planning	8	30	15	15	Obligatory
Creativity and critical thinking	3	45	30	15	Obligatory
Quantitative methods and modeling	4	60	30	30	Obligatory
Programming in Python	5	45	15	30	Obligatory
Data warehousing and business intelligence	5	60	30	30	Obligatory

Elective courses	ECTS	Hours	Pd	Vj	Type
Data Analysis: Statistical Modeling and Computation in Applications	5	60	30	30	MIT
Machine Learning with Python: from Linear Models to Deep Learning	6	75	30	45	MIT
Advanced mobile programming	5	45	15	30	DEV1
Advanced application development based on templates	5	45	15	30	DEV2
Data engineering	5	60	30	30	DS1
Probability - The Science of Uncertainty and Data	5	60	30	30	MIT

Semester 2

COURSES	ECTS	Hours	Pd	Vj	Type
Social network analysis	6	60	30	30	Obligatory
Innovative project 2 - Product or services development	6	15	6	9	Obligatory
Data analytics in cloud computing	4	60	30	30	Obligatory
Intro to DevOps	4	45	15	30	Obligatory

Elective courses	ECTS	Hours	Pd	Vj	Type
Capstone Exam in Statistics and Data Science	8	40	0	40	MIT
Data Analysis in Social Science	5	60	30	30	MIT
Fundamentals of Statistics	6	75	30	45	MIT
Advanced information system interoperability	5	45	15	30	DEV1
Advanced programming paradigms	5	45	15	30	DEV2
Computer vision fundamentals	5	45	15	30	DEV1
Secure coding	5	45	15	30	DEV2
Structured analytic techniques	4	60	30	30	DS1
Introduction to machine learning	6	60	30	30	DS1

Second year

Semester 3

COURSES	ECTS	Hours	Pd	Vj	Type
Big data analysis techniques	4	60	30	30	Obligatory
Innovative Project 3 and#8211; Go to market strategies	6	15	6	9	Obligatory
Advanced machine learning	6	60	30	30	Obligatory
Cyber security management	4	60	30	30	Obligatory

Elective courses	ECTS	Hours	Pd	Vj	Type
Affective computing	6	60	30	30	DS1
Rapid development of Java applications using frameworks	5	45	15	30	DEV2
Advanced client side scripting	5	45	15	30	DEV1
Optimization algorithms based on evolutionary computation	5	45	15	30	DEV2
Applied DevOps	5	45	15	30	DEV1
Data visualization: Techniques and tools	4	60	30	30	DS1

Semester 4

COURSES	ECTS	Hours	Pd	Vj	Type
Final thesis	30	0	0	0	Obligatory

Elective courses	ECTS	Hours	Pd	Vj	Type