The field of Artificial Intelligence (AI) is a dynamic and rapidly evolving domain, characterized by its interdisciplinary nature and profound impact on diverse industries. An overview of an AI program might mirror the structure of the BSc in Data Science, adapting it to the unique facets of AI education. The AI program is designed as a comprehensive and engaging 3 years initiative, equivalent to 180 ECTS credits, aimed at providing students with a holistic education in artificial intelligence. Core areas of focus include Natural Language Processing, Deep Learning, Computer Vision, ensuring that students develop a robust understanding of the fundamental principles underpinning AI.
The BSc in Artificial Intelligence program offers a wealth of opportunities and unique features, including:
Graduates of the BSc in AI program can pursue various career opportunities including:
During the BSc in Artificial Intelligence program, the following tools and technologies may be used:
These tools are essential for developing practical skills in AI and are widely used in the industry.
BSc in Artificial Intelligence |
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Year |
BIG Code |
Course Code |
Bloc |
Course Title |
Credits |
Yr-1 |
BSC101 |
OS |
- |
Operating Systems |
5 |
BSC102 |
DSPP |
- |
Data Structures & Python Programming |
5 |
|
BSC103 |
DDD |
- |
Database Design and Development |
5 |
|
BSC104 |
CSNS |
- |
Computer Systems and Networks Security |
5 |
|
BSC105 |
IDDA |
- |
Introduction to Data and Data Analysis |
7.5 |
|
BSC106 |
IDS |
- |
Introduction to Data Science |
7.5 |
|
BSC107 |
IAI |
- |
Introduction to Artificial Intelligence |
7.5 |
|
BSC108 |
CS |
- |
Cyber Security |
7.5 |
|
BSC109 |
DM |
- |
Discrete Mathematics |
5 |
|
BSC110 |
IES |
- |
Innovation and Entrepreneurship for Start-ups |
5 |
|
|
|||||
Yr-2 |
BSC201 |
CC |
- |
Cloud Computing |
5 |
BSC202 |
WT |
- |
Web Technologies |
5 |
|
BSC203 |
RP |
- |
R Programming |
5 |
|
BSC204 |
RM |
- |
Research Methods |
5 |
|
BDS201 |
LADA |
- |
Linear algebra for Data Analytics |
7.5 |
|
BDS202 |
PIS |
- |
Probability and Inferential Statistics |
7.5 |
|
BSC207 |
ML |
- |
Machine learning |
7.5 |
|
BSC208 |
IOT |
- |
Internet of Things |
7.5 |
|
BSC209 |
INTRN |
- |
Internship |
10 |
|
|
|||||
Yr-3 |
BSC301 |
GDPR |
|
General Data Protection Regulation |
5 |
BSC302 |
BSTRT |
|
Business strategy |
5 |
|
BSC303 |
CINT |
|
Computer integration |
5 |
|
BSC304 |
CSPEC |
|
Computer specifications |
5 |
|
BSC305 |
PMDA |
- |
Project Management for Data Science and AI |
7.5 |
|
BDS304 |
CAP |
- |
DS Capstone Project |
10 |
|
BDS301 |
DVIS |
- |
Natural Language Processing |
7.5 |
|
BDS302 |
BDA |
- |
Deep Learning |
7.5 |
|
BDS303 |
DWH |
- |
Computer Vision |
7.5 |
|
Total Credits (ECTS) |
180 |
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BLOC |
Competencies |
Programme |
Year of Entry |
Total Credits Required |
Total Credits Earned |
Progression Route |
Awarding body |
MSc Computing |
1st Year |
60 |
120 |
MSc in Artificial Intelligence |
Euclea, France |
Eucléa Business School is a higher education institution that is a member of the Collège de Paris, specialised in business, technology and alternating management. With four campuses strategically located in Strasbourg, Metz, Mulhouse and Reims, Eucléa offers a complete range of training, ranging from Post-Bac to Bac+5 level. Our school is dedicated to pedagogical excellence and personal development. Euclea’s goal is to help you develop your skills, explore new perspectives and prepare for a bright future while fostering a student life rich in opportunities.
Britts Imperial University College (UAE) is renowned for its outstanding technology and business education. The College, with its exceptional offerings, has gained immense popularity as one of the most desirable institutions in the Middle East and beyond. With a student population of over 3000 students, Britts Imperial University college has established a solid reputation in the field of Education. The institution has gained recognition for its innovative online and blended learning approach. The institution prioritises student placements and strives to make them more accessible by partnering with a wide range of organisations.
Staff Name |
Qualification |
Exp. |
Specialisation |
Dr. Paul Dudley |
PhD Strategic Management |
31 |
Leadership, Strategic Management |
Dr. Sujith Jayaprakash |
PhD Computer Science |
17 |
Machine Learning, Artificial Intelligence |
Dr. Fatma Ben Mesmia |
PhD Computer Science |
13 |
NLP, Deep Learning |
*Dr. Zainab Rasheed |
Doctorate in Education, MSc Database |
17 |
Databases, Metaverse, Information tech |
Dr. Nusrat Fatma |
PhD Computer Science and Engineering |
13 |
Computer Science, Artificial Intelligence |
Ms. Annette Nayana |
M.Tech and Embedded Systems |
10 |
Data Science, Data Analytics |
Dr. Rukshanda Kamran |
PhD Computer Science |
9 |
Cybersecurity, Cloud Computing |
* Adjunct Professor