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Bachelor of Science in Computer Science - Data Science

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Computer Science is the study of computers and computational systems. It involves studying the theory of software systems and designing, developing, and testing new systems. The role of the computer scientist is not only writing computer programs but also developing new ways of thinking of using the massive amount of data to develop systems that analyze this data and get valuable information that impacts our lives in different industries.

The Bachelor of Science in Computer Science - Data Science programme builds on a common first two years with Computer Science and follows with a third and fourth years dedicated to Data Science and advanced courses.

The programme has several key themes centered on computational thinking, which instills the ability to develop and understand algorithmic solutions to problems. This is backed up by practical programming skills developed in various relevant languages chosen to complement each other and demonstrate the spectrum of techniques and tools available. Students will learn the principles of algorithms, operating systems, database, software development, and web design. Furthermore, Students will study courses in computing, data analysis, mathematics, and statistics and use acquired skills to tackle a variety of interesting real-world problems from business and industry. The programme will also develop key graduate level skills such as problem-solving and communication.

Why enrol on this programme?

The programme brings together a range of techniques required by a modern data analyst. In addition, the programme will provide students with a solid grounding in mathematical thinking, statistics and computing, as well as a good understanding of how these may be collectively used to solve practical problems and identify patterns in data. The programme seeks to foster excellence, innovation, and creativity among students.

Data science is one of the world's most in-demand skills nowadays and offers several career opportunities. Graduates from this programme will be well prepared for employment as data analysts and in many areas needing data scientists.

Accreditation

The Bachelor of Science in Computer Science with concentration in Data Science (DS) programme is accredited by the Ministry of Higher Education & Scientific Research, UAEStudents 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 Bachelor of Science in Computer Science with concentration in Data Science (DS)

   
Year Semester Course
Year 1 1st Semester

CSC 1110 Programming Fundamentals

CSC 2210 Fundamentals of Database Systems

MTH 1101 Introduction to Math

GEN 1030 Introduction to IT

GEN 1060 Critical Thinking

2nd Semester

CSC 1020 Object Oriented Programming

CSC 3100 Social Issues and Professional Practice

STA 1201 Statistics and Empirical Methods

CSC 2010 Web Design

MTH 1202 Algebra and Calculus

Year 2 3rd Semester

CSC 1030 Data Structures and Algorithms

CSC 2200 Computer Architecture

CSC 3200 Advanced Database Systems

CSC 1150 Discrete Structures

STA 2102 Linear Statistical Models

4th Semester

CSC 2400 Software Engineering

CSC 2260 Operating Systems

BUS 2020 Advanced Communication Studies

Elective (e.g. CSC 4250 Web Development Technologies)

GEN 3015 Innovation and Entrepreneurship

Year 3 5th Semester

DS 2010 Data Science and Distributed Computing

AI 3110 Machine Learning and Related Applications

DS 3110 Statistical Computing

DS 4106 Project Preparation

MTH 3103 Optimisation

6th Semester

DS 4107 Project

MTH 3204 Advanced Linear Algebra and its Applications

DS 4120 Statistical Design and Modelling

Major Elective (e.g. CSC3221 Cryptography and Information Theory)

GEN 1040 Sustainability and Environmental Science

Year 4 7th Semester

CSC 2310 Internship

8th Semester

DS 4110 Big Data Management and Data Visualisation

CSC 2270 Computer Communications and Networks

Major Elective (e.g. DS 4260 Data Mining and Warehousing)

GEN 3020 Cross Culture Studies

GEN 2040 Islamic Culture

GEN 1010 English I

Upon graduation, a student will be able to:

CS1. Apply current theories, models, and techniques in computer science and related areas, to design complex computing systems for real-world problems that integrate ethical, social, legal, economic and sustainability related concerns.

CS2. Develop and optimise algorithms to solve problems in computer science.

CS3. Analyse the modern computer architectures with an emphasis on maintaining system security and sustainability.

CS4. Exercise effective work habits like time management, teamwork, innovation, entrepreneurship and communication with stakeholders.

Specific to the Data Science Concentration:

DS1. Demonstrate an understanding of identifying assumptions, logic behind arguments, and conclusions drawn based on those arguments and assumptions in the data science discipline.

DS2. Analyse statistical and mathematical models using appropriate methods and tools in the area of data science.

DS3. Use the knowledge and tools of computing in the area of data science.

DS4. Solve real-world data science problems using appropriate programming languages and tools.

DS5. Perform computations with various type of datasets to discover hidden patterns using modern machine learning techniques and tools.

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