- +242 06 113 57 01
- +242 05 693 58 11
- info@loangotech.org
- Centre-ville, Pointe-Noire, Congo
The Bachelor’s in AI & Data Science aims to provide a foundational training to gain highly demanded skills and become an expert in the fastest growing fields in the world and learn the latest techniques in AI, machine learning, deep learning and data science.
The Bachelor’s degree in AI & Data Science is designed to give you a critical knowledge to approach and solve relevant challenges in new and unique ways. The pedagogy is based on Learning by Doing, focusing on practical work: plenty of coding exercises and guided mini-projects to be completed on your computer during the courses.
Our Bachelor’s in Data Science degree focuses on acquiring practical knowledge in coding and programming languages such as Python as well as the latest advanced concepts in AI and data science. You won’t just be learning theory; you’ll be working extensively with your computer to code, code, and code again.
We will teach you the modern programming languages and tools, not outdated technologies that have been obsolete for over a decade. The program includes cross-disciplinary courses: business discovery, project management, societal issues, and enhanced English.
The Bachelor’s in Data Science has been designed to provide practical knowledge and technical skills, offering immersive industry experience through internships or projects on real-world use cases throughout your enrollment in the program. This will not only bring you early exposure to the professional world but also enable you to implement IT solutions to solve business problems.
This degree is perfect for working professionals who want a strong foundation in data science and AI or hope to pursue an advanced degree in the future such as a Master’s degree.
The first two semesters of the Bachelor’s degree will be devoted to upgrading knowledge and the Intensive English Program (IEP) which are required for successful continuation of studies.
The Bachelor’s in Data Science consists of 240 credits and it is required to earn at least 60 credits at each level.
Our professors are mostly industry professionals with extensive experience in IT, artificial intelligence, data science, and big data, and they are key players in the AI and data science ecosystem.
Upon completion of this program, students will have professional skills and know-how enabling them to:
With our Bachelor’s degree in Data Science, take your career to the next level with a valuable skillset. Several job opportunities will be open to you in the industry and the public sector. Graduates of the Bachelor’s in Data Science can work in companies developing innovative software, in start-ups or in the R&D departments of companies. They can also join a research Lab or pursue advanced degree such as a Master’s degree.
The curriculum for the Bachelor’s in Data Science has been specifically designed to provide students with the latest knowledge and skills in the ever-evolving field of technology mainly in AI and data science.
The first two semesters of the Bachelor’s degree will be devoted to upgrading knowledge in mathematics and computer science and the Intensive English Program (IEP) which are required for successful continuation of studies.
The topics covered in the Bachelor’s degree in Data Science are:
| First Year (Freshman) | Second Year (Sophomore) | Third Year (Junior) | Fourth Year (Senior) |
|---|---|---|---|
| Intensive English Program (IEP) | Python and R | Software validation and testing | Digital investigation in IT |
| Introduction to computer science tools | Operating system | Unsupervised learning and time series | Advanced concepts in cloud computing |
| Introduction to programming | Algorithms and data structures | Structured and unstructured databases | Agile project management |
| Initiation to Linux operating system | Software analysis and design | Computer security | Recommendation systems |
| Differential Calculus | Introduction to data science | Introduction to artificial intelligence | Automatic natural language processing |
| Integral Calculus | Computer networks | Analysis and design of algorithms | Decision-making tools |
| Elements of Algebra | Mathematical tools for data science | Deep Learning | Setting up a technology company project |
| Vector Algebra | Data visualization | DevOps and MLOps | The art of the Pitch |
| Applied Analysis | Machine Learning | Corporate project management | Introduction to Generative AI |
| Applied Linear Algebra | Web development | IT Project | Data security |
| Online learning strategies | Machine learning tools and software | English and communication | AI project |
| IT project | Preparing for the internship search | Stage | |
| English and communication | English and communication | English and communication |
Regular seminars are organized with local and world-class experts to give students a global view of the issues and challenges of data science, artificial intelligence and cybersecurity.
The admission selection is done by the review of the submitted application package, and if necessary, a video conference of in-person interview. The complete admission process is as follows:
The committee will look for the academic foundation needed for success in the required courses in the program you are applying to at LIAT.
Requirements
For applicants wishing to apply directly for Sophomore, the admission committee will assess their application package and take into account the applicant’s initial background, which should satisfy the following additional conditions:
Required documents
Please complete the online application form. You will need the following documents:
| First Year (Freshman) | Second Year (Sophomore) |
|---|---|
| Identity document (ID card or passport) | Identity document (ID card or passport) |
| High school degree or equivalent | High school degree or equivalent |
| High school transcripts (Première and Terminale) | High school transcripts (Première and Terminale) |
| Two (2) color passport photos | Two (2) color passport photos |
| Curriculum vitae (CV) | Transcripts of completed university years |
| Transcripts of completed university years | |
| Curriculum vitae (CV) |
Once you have applied, if your profile catches our attention, you will be contacted for an interview (by videoconference or face-to-face) with the admissions committee. During the interview, you will have the opportunity to share your motivation to join this program.
You will then receive a response to your application. If you are authorized to enroll in the Bachelor’s degree in Data Science at LIAT, you must then pay the enrollment fees in accordance with the conditions set out in your letter of admission.
Your choice of university or higher education institution should not be based on financial considerations, but rather on real criteria, such as: quality of the programs, specific features of the institution, expertise and reputation of the faculty, potential job opportunities, suitability for your personal and professional project. The timetable for the payment of the tuition fees will be sent to you.
The tuition and application fees are:
| Designation | First Year (Freshman) | Second Year (Sophomore) | Third Year (Junior) | Fourth Year (Senior) | |
|---|---|---|---|---|---|
| Application Fees | 50.000 FCFA | 50.000 FCFA | 60.000 FCFA | 70.000 FCFA | |
| Students Association | 5000 FCFA | 5000 FCFA | 5000 FCFA | 5000 FCFA | |
| Monthly cost | 75.000 FCFA | 80.000 FCFA | 90.000 FCFA | 95.500 FCFA | |
| Annual cost | 1st installment | 250.000 FCFA | 300.000 FCFA | 300.000 FCFA | 355.000 FCFA |
| 2nd installment | 250.000 FCFA | 300.000 FCFA | 300.000 FCFA | 300.000 FCFA | |
| 3rd installment | 250.000 FCFA | 200.000 FCFA | 300.000 FCFA | 300.000 FCFA | |
| Annual cost (if paid in one installment) | 750.000 FCFA | 800.000 FCFA | 900.000 FCFA | 955.000 FCFA | |
Unfortunately, we don’t have a scholarship system at this stage. However, we do offer tuition fee reductions for students who have completed their high school degree with distinction.
Moreover, through our Solidarity Fund, some assistance might be provided on a need basis.
For all admission questions, please contact us:
