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Lecture Plan

This study programme is validated by Goldsmithsa, University of London. Seize the unique opportunity to study in English and earn Dual Degree from Algebra University College and Goldsmiths, University of London! Learn more

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



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 Lectures Tutorials Type
Innovative project 1-Product or services ideation and planning 8 15 15 0 Obligatory
Creativity and critical thinking 3 45 30 15 Obligatory
Quantitative methods and modeling 4 60 30 30 Obligatory
Advanced application development based on templates 5 45 15 30 Obligatory
Programming in Python 5 45 15 30 Obligatory

Elective courses ECTS Hours Pd Vj Type
Advanced mobile programming 5 45 15 30 DEV1
Data engineering 5 60 30 30 DS1
Data warehousing and business intelligence 5 60 30 30 DS2
Embedded platforms and OS 5 45 15 30 IOT
Cyber security defences 5 60 30 30 CS1

Semester 2

COURSES ECTS Hours Lectures Tutorials Type
Innovative project 2 - Product or services development 6 15 6 9 Obligatory
Advanced programming paradigms 5 45 15 30 Obligatory
Secure coding 5 45 15 30 Obligatory
Intro to DevOps 4 45 15 30 Obligatory

Elective courses ECTS Hours Pd Vj Type
Social network analysis 6 60 30 30 DS2
Wireless computer networks 1 5 45 15 30 IOT
Ethical hacking 7 60 30 30 CS1
Advanced information system interoperability 5 45 15 30 DEV1
Computer vision fundamentals 5 45 15 30 DEV1
Data analytics in cloud computing 4 60 30 30 DS2
Applied cryptography 3 60 15 45 CS1
Sensors and actuators 5 45 15 30 IOT
Structured analytic techniques 4 60 30 30 DS1
Introduction to machine learning 6 60 30 30 DS1

Second year

Semester 3

COURSES ECTS Hours Lectures Tutorials Type
Rapid development of Java applications using frameworks 5 45 15 30 Obligatory
Innovative Project 3 - Go to market strategies 6 15 6 9 Obligatory
Optimization algorithms based on evolutionary computation 5 45 15 30 Obligatory
Cyber security management 4 60 30 30 Obligatory

Elective courses ECTS Hours Pd Vj Type
Affective computing 6 45 15 30 DS1
Big data analysis techniques 4 60 30 30 DS2
Wireless computer networks 2 5 45 15 30 IOT
Business continuity and disaster recovery 3 60 15 45 CS1
Advanced client side scripting 5 45 15 30 DEV1
Advanced machine learning 6 60 30 30 DS2
Penetration testing 7 60 30 30 CS1
Applied DevOps 5 45 15 30 DEV1
Data visualization: Techniques and tools 4 60 30 30 DS1
Web technologies for IoT 5 45 15 30 IOT

Semester 4

COURSES ECTS Hours Lectures Tutorials Type
Final thesis 30 0 0 0 Obligatory

Elective courses ECTS Hours Pd Vj Type
Student guide