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Bachelor of Science in Data Science

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In today’s data-driven world, the ability to extract insights from vast amounts of information is a game changer across industries. The Bachelor of Science in Data Science (BSc in DS) transforms students into next-generation data experts—armed with cutting-edge skills in AI, machine learning, and predictive analytics to solve real-world challenges.

Our dynamic programme fuses mathematics, statistics, and advanced data technologies to prepare you for high-impact roles in business intelligence, AI-driven automation, and big data innovation. Through hands-on projects and industry-aligned training, you’ll master the art of extracting game-changing insights from complex datasets—turning raw numbers into strategic decisions that shape industries.

Why enrol on this programme?

Data Science is at the heart of modern decision-making, and this programme is designed to meet the growing demand for skilled data professionals. Graduates will:

  1. Master cutting-edge tools and techniques for big data management, data visualisation, and machine learning.
  2. Gain the ability to extract actionable insights from complex datasets using analytical reasoning.
  3. Gain practical experience through projects and internships, bridging the gap between theory and industry applications.

This programme is ideal for students seeking careers as data scientists, analysts, AI specialists, or technology innovators.

Accreditation

The Bachelor of Science in Data Science programme is accredited by the Ministry of Higher Education & Scientific Research, UAE. Students who complete the programme have the option of obtaining a Coventry University certificate in addition to Emirates Aviation University award.

Duration

  • Full-time programme is four years

Mode of delivery

Full-time, credit-hour system, and semester-based.

Programme Outline

A typical four-year study plan for the BSc in Data Science.

Year Semester Course
Year 1 1st Semester
  • Calculus
  • Programming Fundamentals
  • Statistics and Empirical Methods
  • Fundamentals of Database System
  • English 1
2nd Semester
  • Discrete Structures
  • Object – Oriented Programming
  • Data science and distributed computing
  • AI and Data Science Project Management
  • Cloud Computing
Year 2 3rd Semester
  • Data Structures and Algorithms
  • Big Data Tools and Technologies
  • Research Method
  • Data Wrangling and Visualization
  • Elective (e.g., Introduction to Artificial Intelligence)
4th Semester
  • Machine Learning and Related Applications
  • Elective (e.g., Natural Language Processing)
  • Big Data Management and Data Visualisation
  • Data mining and warehousing
  • Predictive Analytics
Year 3 5th Semester
  • Elective (e.g., Neural Networks)
  • Individual Project Preparation
  • Advanced Linear Algebra and its Applications
  • Security
  • Optimisation
6th Semester
  • Individual Project
  • Statistical Design and Modelling
  • Innovation and Entrepreneurship
  • Cryptography and Information Theory
  • Elective (e.g., Robotics and Autonomous Systems)
Year 4 7th Semester
  • Internship
  • Social Issues and Professional Practice
  • Critical Thinking
  • Sustainability and Environmental Science
8th Semester
  • Data Integration and Interoperability
  • Elective (e.g., Sentiment Analysis and Text Mining)
  • Elective (e.g., Robot Perception)
  • Elective (e.g., NLP Applications)
  • Elective (e.g., Intelligent Agents)

Knowledge and Understanding

On successful completion of the programme the student should be able to demonstrate knowledge and understanding of:

KU1: Demonstrate proficiency in mathematical concepts essential for data science, including calculus, linear algebra, probability, and optimisation techniques.

KU2: Apply statistical inference, regression models, and machine learning algorithms to analyse and interpret large-scale data.

KU3: Understand database management, big data technologies, and cloud computing frameworks for efficient data storage, retrieval, and processing.

KU4: Develop and implement data-driven solutions using programming languages such as Python, R, and SQL, adhering to software engineering principles.

KU5: Evaluate the ethical, legal, and security aspects of data collection, storage, analysis, and dissemination, ensuring compliance with global regulations.

Cognitive Skills

On successful completion of the programme the student should be able to:

CS1: Formulate and solve complex data science problems by applying logical reasoning, algorithmic thinking, and optimisation techniques.

CS2: Conduct research in data science, demonstrating the ability to explore new methodologies, analyse findings, and contribute to the advancement of the field.

CS3: Interpret and present data-driven insights through visualisation tools and reports tailored to both technical and non-technical stakeholders.

Practical Skills

On successful completion of the programme the student should be able to:

PS1: Design, implement, and evaluate end-to-end data science solutions, from data acquisition and pre-processing to model development and deployment.

PS2: Work effectively in multidisciplinary teams, demonstrating leadership, adaptability, and professional communication skills.

PS3: Apply best practices in project management, ensuring the timely delivery of data science solutions in real-world settings.

PS4: Identify opportunities for innovation in data science, develop business cases, and manage projects that create societal and economic impact.

School Curriculum System Minimum Admission Requirements

UAE Curriculum

(Thanaweyya 'Ammah)

UAE Curriculum Track:

  • Elite Track: 70% score in Math or Physics*
  • Advanced Track: 75% score in Math or Physics*
  • General Track: 80% score in Math or Physics*
  • Score of 80% in the English language

British System - AS/A Levels
  1. Five GCSE/IGCSE subjects with a minimum grade of "C", and
  2. Two AS-level subjects (Math or Physics) with a minimum grade of "C" or one A-Level subject with a minimum grade of “C” covering math or physics*

British System - BTEC Level 3 Diploma

BTEC Level 3 Diploma in a relevant field*

International Baccalaureate

IB certificate or Diploma or career programme (including Math or physics)*

American High School Diploma

 70% score in Math or Physics*

Indian Boards (Std XII)

 Minimum of 55% in the Senior Secondary School Certificate (12th Standard) including Math or Physics*

Pakistani Board HSSC Part I+II (Gr 12)

  

Minimum of 55% in the Senior Secondary School Certificate (12th Standard) including Math or Physics*

Iranian Curriculum

  Score of 15 points in the pre-university certificate, or minimum overall of 75% including Math or Physics*

Russian Curriculum

  Score of 4.0 in the final year (grade 11), including Math or Physics*

French Baccalaureate

  Score of 11 in the Scientific track, including Math or Physics*

*Notes and remarks:

  • Applicants who do not meet the minimum requirements for the program's relevant requirement(s) may be required to complete the EAU entrance exam or a non-credit remedial course.
  • Students who completed their previous qualification in English are exempt from English requirements. Otherwise, students will be required to provide / complete one of the following:
    • IELTS Academic with a minimum score of 5.0
    • TOFEL iBT with a minimum score of 61
    • EAU English Test
    • Complete non-credited Foundation English Course with EAU
  • For detailed guidance on entry requirements, please contact EAU Admissions at +971 46050100/176/117 or email: eau.admissions@emirates.com
Application Fee* Registration Fee* Tuition Fees (AED)
N/A 2,625 80,703 per year

*Non-refundable

*Tuition Fees inclusive of VAT 5%

How to Apply?

For  information  on  how  to  apply  for  a  course  at  Emirates  Aviation University, see our Admissions Guide

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