Bachelor of Science in Data Science and Business Analytics

Duration: Four years (8 semesters) for full-time students or eight years (16 semesters) for part-time students.

Credit Hours: A total of 123 credit hours.

Language of Instruction: English.

The study plan consists of (123) credit hours and is distributed as follows:

1. General Education Diploma or High School Diploma:

o Applicants must have completed a General Education Diploma, or a high school diploma recognized in Oman.

o Certificates from outside Oman must be equivalent to those issued by the Ministry of Education in Oman.

2. Minimum Grades:

o A high school percentage of 65% or above.

o A score of 65% or above in Pure Mathematics or Applied Mathematics and English.

3. Foundation Program:

o Students must pass the General Foundation Program, which includes courses in English, Mathematics, Computer, and Learning Skills, as a general requirement for all students before starting the program.

4. Transfer Students:

o Students from other recognized educational institutions may transfer if they have a Grade Point Average (GPA) of 2.0 or higher on a four-point scale.

o Transfer credits will be evaluated by the head of the academic department or dean based on courses in which the student earned a grade of C or above.

• Per Credit Hour: 81.6 Omani Rials (OMR)
• Total Credit Hours Required: 123
• Estimated Total Tuition Cost: 10,036.8 OMR

Graduates will be well-prepared for careers in diverse fields and roles, including:

1. Data Science and Analytics Positions:

o Data Analyst

o Data Scientist

o Data Engineer

o Data Architect

o Chief Data Officer

2. Business Analytics and Intelligence Roles:

o Business Intelligence Analyst

o Business Analytics Manager

o Marketing Analyst

o Risk Analyst

3. Specialized Technical Roles:

o Machine Learning Engineer

o Statistician

o Quantitative Analyst

Graduates can work in various sectors such as government, private enterprises, retail and e-commerce, logistics, finance, banking, and healthcare, addressing the critical demand for data science and business analytics professionals in the labour market.