BSc (Hons) in Data Sciences
BSc
DURATION
4 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
AED 65,100 / per year *
STUDY FORMAT
On-Campus
* all tuition fees inclusive of VAT
Key Summary
About: The BSc (Hons) in Data Sciences gives a mathematical-statistical foundation and emphasizes data computation with modern programming. The first three years build core skills in mathematics, computer science, probability, statistics, machine learning and AI. The fourth year lets you focus on advanced machine learning, statistical algorithms, data engineering or AI applications. You get research-led teaching, industry links with over 30 organizations and a student-led tech club.
Career Outcomes: Graduates enter business, finance, government, science, transportation, forensics, energy, environment and academic research. Roles include data scientist, machine learning engineer, data engineer and statistician, applying data analytics and software development skills.
Overview
Data science is the core of the modern data analytics and engineering revolution, turning data into intelligence and information for decision-making and for solving complex, multi-faceted problems. It is a young discipline, and demand for expertise in all aspects of data science is growing very quickly. Because of this strong global demand, the role of a data scientist is frequently ranked as the most promising career and consistently tops the best jobs rankings, with professionals in the field reporting high demand, high salaries and high job satisfaction.
The BSc in Data Sciences programme is based on a strong mathematical and statistical foundation and emphasises large-scale data computation using the most relevant and up-to-date programming languages. Depending on their interests, graduates may find employment in the areas of business, finance, government, science, transportation, forensics, energy, the environment or academic research.
The first three years of the programme are designed to provide the necessary core skills and knowledge in mathematics, computer sciences, probability, statistics, machine learning and artificial intelligence. The fourth year offers the option to focus on advanced machine-learning, statistical algorithms and applications, data engineering, mathematical aspects of data structures or applications to artificial intelligence.
Teaching quality
We pride ourselves in providing students with useful skills both computational and mathematical that can be used to find interesting information in large datasets either statically or dynamically in real-time. These skills can be used to find lucrative and interesting jobs in industry and commerce.
Links with industry
We have very strong links with external organisations and industry, with representatives of more than 30 companies and organisations attending our industrial advisory board. Much of our research is in collaboration with leading computing enterprises and students really value our research-led teaching by our enthusiastic staff.
Student Lead Technology Club
Our Student Lead Technology Club is an initiative to support students in using technology (either hardware, data or software) to explore the usage of and code development for new platforms, as part of a taught course or as a personal project.
Course content
First Year
Semester 1
- Mandatory courses: Calculus A, Praxis, Software Development 1
- Optional courses: Logic and Proof, Intro to Statistical Science A
Semester 2
- Mandatory courses: Calculus B, Discrete Mathematics, Software Development 2, Intro to Statistical Science B
Second Year
Semester 1
- Mandatory courses: Calculus and Real Analysis A, Linear Algebra, Probability and Statistics A, Introduction to Data Structure and Algorithms
Semester 2
- Mandatory courses: Data Structures and Algorithms, Database Management Systems, Probability and Statistics B, Numerical Analysis A
Third Year
Semester 1
- Mandatory courses: Statistical Machine Learning, Artificial Intelligence and Intel Agent, Software Engineering, Advanced Statistical Methods
Semester 2
- Mandatory courses: Professional Development, Bayesian Inference and Comp Maths, Data Visualisation Analytics, Statistical Models B
Fourth Year
Semester 1
- Mandatory courses: Optimisation, Data Engineering Pipelines, Dissertation A
- Optional courses: Industrial Programming, Statistical Computing, Stochastic Processes
Semester 2
- Mandatory courses: Big Data Management, Advanced Machine Learning, Dissertation B
- Optional courses: Data Visualisation Analytics, Applied Text Analytics, Time series