Computing for Data Science
- 105 Credits
- Intakes: Fall, Spring, Summer
Overview
The Computer Science department at USAL offers a Bachelor of Science (BS) with a major in Computing for Data Science. The program provides students with cross-disciplinary knowledge and skills in computer science, mathematics, statistics, machine learning, artificial intelligence, 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.
Courses of the Curricula
University Requirements & Electives (22 credits)
Code | Subject | Credits |
GENR201 | Religion and public life | 1 credit |
ENGL201 | English communication skills I | 3 credits |
ENGL202 | English communication skills II | 3 credits |
ARAB201 | Arabic communication skills I | 3 credits |
General elective 1 | 3 credits | |
General elective 2 | 3 credits | |
Department elective 1 | 3 credits | |
Department elective 2 | 3 credits | |
Total | 22 | |
Core Courses (52 credits)
| Code | Subject | Credits |
| MATH203 | Linear Algebra | 3 credits |
| MATH201 | Calculus | 3 credits |
| MATH210 | Discrete Mathematics | 3 credits |
| MATH204 | Probability and Statistics I | 3 credits |
| CSCI205 | Computer Science Overview | 3 credits |
| CSCI206 | Introduction to Programming | 4 credits (3;1) |
| CSCI207 | Object Oriented Programming | 4 credits (3;1) |
| CSCI210 | Computer Architecture and Logic Design | 3 credits |
| CSCI212 | Computer Networks I | 3 credits |
| CSCI311 | Introduction to Database Systems | 3 credits |
| CSCI315 | Web development | 4 credits (3;1) |
| CSCI316 | Data Structure and Algorithms | 3 credits |
| CSCI317 | Software Engineering | 3 credits |
| CSCI320 | Operating Systems | 4 credits (3;1) |
| CSCI410 | Artificial intelligence and Machine learning | 3 credits |
| CSCI420 | Final Year Project | 3 credits |
| Total | 52 | |
Major / Concentration courses (31 credits)
Code | Subject | Credits |
DTSC301 | Introduction to Data Science | 3 credits |
DTSC302 | Data Visualization | 1 credit |
DTSC420 | Natural Language Processing | 3 credits |
DTSC422 | Time series and statistical forecasting | 3 credits |
DTSC424 | Deep learning | 3 credits |
MATH304 | Probability and Statistics II | 3 credits |
MATH307 | Statistical Models | 3 credits |
MATH310 | Numerical Computation and Analysis | 3 credits |
COMP305 | Advanced Programming | 3 credits |
COMP411 | Advanced Data Structure and Algorithms | 3 credits |
COMP412 | Advanced Databases | 3 credits |
Total | 31 | |
Courses Distribution Plan
- First Year - Fall
- First Year - Spring
- First Year - Summer
- Second Year - Fall
- Second Year - Spring
- Second Year - Summer
- Third Year - Fall
- Third Year - Spring
| Code | Course Name | # of weeks | # of Lecture hours | # of labs hours | Credits |
| GENR201 | Religion and Public Life | 15 | 15 | - | 1 |
| 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) |
| CSCI205 | Computer Science Overview | 15 | 15 | - | 3 |
| Total | 17 | ||||
| Code | Course Name | # of weeks | # of Lecture hours | # of labs hours | 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 | ||||
| Code | Course Name | # of weeks | # of Lecture hours | # of labs hours | credits |
| CSCI212 | Computer Networks – I : Networking fundamentals | 8 | 45 | - | 3 |
| GE/DE | Elective I | 8 | 45 | - | 3 |
| Total | 6 | ||||
| Code | Course Name | # of weeks | # of Lecture hours | # of labs hours | credits |
| CSCI311 | Introduction to Database Systems | 15 | 45 | - | 3 |
| CSCI316 | Data Structure 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 | ||||
| Code | Course Name | # of weeks | # of Lecture hours | # of labs hours | credits |
| COMP305 | Advanced Programming | 15 | 45 | - | 3 |
| CSCI315 | Web 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 | ||||
| Code | Course Name | # of weeks | # of Lecture hours | # of labs hours | credits |
| CSCI410 | Artificial Intelligence and Machine Learning | 8 | 45 | - | 3 |
| DTSC301 | Introduction to Data Science | 8 | 45 | - | 3 |
| Total | 6 | ||||
| Code | Course Name | # of weeks | # of Lecture hours | # of labs hours | credits |
| DTSC424 | Deep learning | 15 | 45 | - | 3 |
| GE / DE | Elective III | 15 | 45 | - | 3 |
| DTSC420 | Natural Language Processing | 15 | 45 | - | 3 |
| MATH307 | Statistical Models | 15 | 45 | - | 3 |
| GE / DE | Elective IV | 15 | 45 | - | 3 |
| Code | Course Name | # of weeks | # of Lecture hours | # of labs hours | credits |
| COMP411 | Advanced Data Structure and Algorithms | 15 | 45 | - | 3 |
| DTSC422 | Time Series and Statistical Forecasting | 15 | 30 | - | 3 |
| CSCI420 | Final Year Project | - | - | - | 3 |
| COMP412 | Advanced Databases | 15 | 45 | - | 3 |
| Total | 12 | ||||
Scholarship Programs
At USAL, we provide accessible funding and resources that help alleviate the cost of education, ensuring that all individuals have the opportunity to pursue their academic and career aspirations.
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