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Bachelor of Science in Artificial Intelligence ( BSc - Artificial Intelligence )

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Accreditations

UK ENIC, World Education Services

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:

  • Migration Pathways: Students have access to migration pathways to prestigious universities in the UK, France, Australia, and Canada, providing global exposure and further study opportunities.
  • Practical Training: The program emphasizes hands-on practical training through well-equipped labs and facilities, ensuring students gain real-world experience in AI technologies.
  • Expert Faculty: The course is taught by expert faculty with extensive experience in AI, offering students insights from the forefront of the field.
  • Learning Opportunities in the UAE Campus: Students can opt to learn at the UAE campus, which offers a unique cultural experience and opportunities to secure valuable internships.
  • Career Coaching and Placement Assistance: The program includes career coaching to guide students in their professional journeys, along with 100% placement assistance to help secure job opportunities post-graduation.
  • Project Work Assistance: Students receive comprehensive support in their project work, enhancing their practical skills and understanding of AI applications.
  • Collaborative Projects and Competitions: Opportunities to collaborate on diverse projects and participate in competitions, fostering teamwork and innovation.
  • Postgraduate Opportunities: Graduates can pursue postgraduate programs in top universities across Canada, USA, Australia, UK, and France.
  • Capstone Projects: The curriculum includes capstone projects that allow students to apply their knowledge in a culminating, real-world scenario.
  • Access to Resources: Students have access to a wide range of projects, datasets, and lab materials, enriching their learning experience.
     

Graduates of the BSc in AI program can pursue various career opportunities including:

  • Machine Learning Engineer
  • Data Scientist
  • AI Research Scientist
  • Natural Language Processing (NLP) Engineer
  • Computer Vision Engineer 
  • AI Consultant 
  • AI Product Manager
  • Robotics Engineer
     

  • UK ENIC
  • World Education Services

  • Admission is open to students who have passed the qualifying 10+2 examination or its equivalent from a recognised board with at least 45% aggregate marks.
  • Adequate proficiency in English is a must for all programs.
     

During the BSc in Artificial Intelligence program, the following tools and technologies may be used:

 

  • Programming Languages: Python, R
  • Machine Learning: Frameworks TensorFlow and PyTorch
  • Scikit-learn
  • Deep Learning Libraries: Keras, MXNet, Caffe
  • Natural Language Processing (NLP) Tools: NLTK (Natural Language Toolkit) and Spacy
  • Big Data Tools: Apache Hadoop and Apache Spark
  • Reinforcement Learning Libraries: OpenAI Gym
  • Data Visualization Tools: Matplotlib, Seaborn
  •  Version Control Systems: Git
  • Integrated Development Environments (IDEs): Jupyter Notebooks.

 

These tools are essential for developing practical skills in AI and are widely used in the industry.
 

BSc in Artificial Intelligence

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

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 

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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. 

  • Eligibility Check
  • Application Submission
  • Application Acceptance
  • Provisional Admission
  • Document Verification
  • Admission acceptance

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

  • Prior Experience Requirement: prior experience is not required; foundational courses are provided at the program's outset.
  • Program Format: Currently, the program is only offered on campus.
  • Practical Components: It includes hands-on projects, internships, and capstone projects for real-world application.
  • Prerequisites for Modules: Some advanced modules may have prerequisites, but foundational courses are open to all students.
  • Tech Entrepreneurship Opportunities: The skills acquired are conducive to entrepreneurial pursuits in the tech industry.
  • Freelance or Consultancy Work: The skills gained are applicable to freelance or consultancy positions across various industries.
  • International Recognition: The degree offers international recognition, providing global employment opportunities.
  • Pursuing Higher Studies: Graduates can advance to higher studies, including master's and doctoral programs.
  • Support and Resources: Students have access to faculty, career services, technology labs, libraries, and extensive online resources.
  • BSc Data Science vs. BSc AI: BSc Data Science focuses on statistical analysis and handling large datasets, whereas BSc AI involves developing and implementing AI algorithms.
     
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