Bachelor of Science in Data Science
About This Programme
An interdisciplinary degree combining statistics, mathematics and computing to collect, model and interpret large datasets. Covers machine learning, data visualisation and programming for careers in analytics, AI, finance and technology.
Course Highlights
- Built on a strong core of mathematics, statistics and programming (Python and R)
- Machine learning, deep learning, data mining and applied time-series coursework
- Required data-science internship (DSC 497) plus a capstone Senior Project (DSC 490)
- 69 credits of major requirements and electives across the discipline
What You'll Study
Hands-on teaching in Python and R over real-world datasets across mathematics, statistics and computing, assessed by programming projects, a required data-science internship (DSC 497) and a Senior Project (DSC 490).
Year 1
- MTH 103 Calculus I3 credits
- MTH 104 Calculus II3 credits
- STA 201 Introduction to Statistics for Engineering and Natural Sciences3 credits
- WRI 101 Academic Writing I3 credits
- WRI 102 Academic Writing II3 credits
- Natural Sciences (General Education)4 credits
- Natural Sciences (General Education)4 credits
- General Education Core: History and Culture of the Arab World3 credits
- General Education Core: Arts and Literature3 credits
- General Education Core: Culture in a Critical Perspective3 credits
Year 2
- DSC 210 Introduction to Data Science3 credits
- DSC 220 Python Programming for Data Science3 credits
- DSC 250 Exploratory Data Analysis3 credits
- DSC 280 Introduction to Probability for Data Science3 credits
- CMP 120 Programming I3 credits
- MTH 213 Discrete Mathematics3 credits
- MTH 221 Linear Algebra3 credits
- NGN 220 Digital Technology and Citizenship3 credits
- ENG 204 Advanced Academic Writing3 credits
- Free Elective3 credits
Year 3
- DSC 310 Data Visualization3 credits
- DSC 330 Regression Modeling3 credits
- DSC 380 Introduction to Machine Learning and Data Mining3 credits
- DSC 385 Computing in Data Science3 credits
- CMP 320 Database Systems3 credits
- IEN 301 Innovation and Entrepreneurship Mindset3 credits
- Major Elective3 credits
- Major Elective3 credits
- General Education Core: Human Interaction and Behavior3 credits
- Free Elective3 credits
- DSC 497 Internship in Data Science (summer)0 credits
Year 4
- DSC 430 Applied Time Series3 credits
- DSC 470 Advanced Data Mining Techniques3 credits
- DSC 480 Deep Learning3 credits
- DSC 490 Senior Project3 credits
- Major Elective3 credits
- Major Elective3 credits
- Major Elective3 credits
- General Education Core (elective)3 credits
- Free Elective3 credits
- Free Elective3 credits
Entry Requirements
Applicants below the English threshold may enter via the Achievement Academy Bridge Program.
Careers
Prepares graduates as data scientists and analysts across healthcare, finance, technology and government, and for advanced study in data science, statistics and machine learning.
Accreditation & Professional Recognition
Licensed by the UAE Commission for Academic Accreditation (CAA); AUS holds US regional accreditation from the Middle States Commission on Higher Education (MSCHE).
Programme Details
Award
Bachelor of Science in Data Science
Start Date
August 2026 (Fall; also Spring & Summer intakes)
Typical Offer
~85% secondary-school average (curriculum-dependent) + IELTS 6.5 / TOEFL iBT 80
Duration
4 years
Qualification
Bachelors
Subject Area
Computer Science
Campus
Sharjah
Course Type
Data science degree
Study Pattern
Full time
Delivery Format
In person
Tuition Fee
AED 110,876/yr
Apply online at apply.aus.edu. A non-refundable application fee of AED 400 + 5% VAT applies, and a AED 5,000 seat-reservation deposit confirms your place. AUS offers extensive merit, need-based and athletic scholarships.