Data Science is “The ability to take data — to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it — and that’s going to be a hugely important skill in the next decades.”
The Computer Science department at USAL offers a Bachelor of Science (B.S.) with a concentration in computing for Data Science. The program provides students with cross-disciplinary knowledge and skills in computer science, mathematics, statistics, and information visualization, to pursue effective careers in computing and data science.
The main focus of this program is turning data into useful knowledge through artificial intelligence and machine learning. Graduates will gain the skills in collecting and analyzing data, solving problems using intelligent techniques, and effectively communicating the solutions. Such skills are required in almost all industries making skilled data scientists increasingly demanded in companies all over the world. This field opens the door to diverse professions such as data analyst, data consultant, machine learning scientist, and data architect.
First year – fall
| Code | Course Name | Nb of weeks | Nb of Lecture hours | Nb of labs hours | credits |
| MATH203 | Linear Algebra | 15 | 30 | – | 3 |
| ENGL201 | English Communication Skills I | 15 | 45 | – | 3 |
| ARAB201 | Arabic Communication skills | 15 | 45 | – | 3 |
| CSCI206 | Introduction to Programming | 15 | 45 | 30 | 4 (3; 1) |
| CSCI 205 | Computer Science Overview | 15 | 45 | – | 3 |
| Total | 16 | ||||
First year – spring
| Code | Course Name | Nb of weeks | Nb of Lecture hours | Nb of labs hours1 | credits |
| MATH210 | Discrete Mathematics | 15 | 45 | – | 3 |
| ENGL202 | English Communication Skills II | 15 | 45 | – | 3 |
| CSCI207 | Object Oriented Programming | 15 | 45 | 30 | 4 (3; 1) |
| CSCI210 | Computer Architecture and Organization | 15 | 30 | – | 3 |
| MATH201 | Calculus | 15 | 30 | – | 3 |
| Total | 16 | ||||
First year – summer
| Code | Course Name | Nb of weeks | Nb of Lecture hours | Nb of labs hours | credits |
| CSCI212 | Computer Networks – I: Networking fundamentals | 8 | 45 | – | 3 |
| GE/DE | Elective I | 8 | 45 | – | 3 |
| Total | 6 | ||||
Second year – fall
| Code | Course Name | Nb of weeks | Nb of Lecture hours | Nb of labs hours | credits |
| CSCI311 | Introduction to Database | 15 | 45 | – | 3 |
| CSCI316 | Introduction to Data Structures and Algorithms | 15 | 45 | – | 3 |
| MATH204 | Probability and Statistics I | 15 | 45 | – | 3 |
| MATH310 | Numerical Computation and Analysis | 15 | 45 | – | 3 |
| GE/DE | Elective II | 15 | 45 | – | 3 |
| Total | 15 | ||||
Second year – spring
| Code | Course Name | Nb of weeks | Nb of Lecture hours | Nb of labs hours | credits |
| COMP305 | Advanced Programming | 15 | 45 | – | 3 |
| CSCI315 | Web Application Development | 15 | 45 | 30 | 4(3; 1) |
| CSCI317 | Software Engineering | 15 | 45 | – | 3 |
| CSCI320 | Operating Systems | 15 | 45 | 30 | 4(3;1) |
| MATH304 | Probability and Statistics II | 15 | 45 | – | 3 |
| Total | 17 | ||||
Second year – summer
| Code | Course Name | Nb of weeks | Nb of Lecture hours | Nb of labs hours | credits |
| GE / DE | Elective III | 8 | 45 | – | 3 |
| DTSC301 | Introduction to Data Science | 8 | 45 | – | 3 |
| Total | 6 | ||||
Third year – fall
| Code | Course Name | Nb of weeks | Nb of Lecture hours | Nb of labs hours | credits |
| DTSC422 | Time Series and Statistical Forecasting | 15 | 45 | – | 3 |
| CSCI410 | Artificial Intelligence and Machine Learning | 15 | 45 | – | 3 |
| MATH307 | Statistical Models | 15 | 45 | – | 3 |
| GE / DE | Elective IV | 15 | 45 | – | 3 |
| Total | 15 | ||||
Third year – spring
| Code | Course Name | Nb of weeks | Nb of Lecture hours | Nb of labs hours | credits |
| COMP411 | Advanced Data Structure and Algorithms | 15 | 45 | – | 3 |
| CSCI420 | Final Year Project | – | – | – | 3 |
| COMP412 | Advanced Databases | 15 | 45 | – | 3 |
| DTSC420 | Natural Language Processing | 15 | 45 | – | 3 |
| DTSC424 | Deep learning | 15 | 45 | – | 3 |
| Total | 15 | ||||
- Obtaining official Lebanese BACC II degree or any equivalent document.
- Conducting a placement test in Arabic language, English language, Informatics and Mathematics.
- Passing the academic orientation stage that determines the suitability of a student’s abilities and qualifications in accordance with the field of study.
