BSc (Hons) Computer Science (Data Science) From Heriot-Watt University

Program Overview

Our BSc Computer Science (Data Science) degree focuses on constructing robust and useable systems. As well as looking at cutting edge tools and techniques, it’s designed to help you build the next generation of software tools that other system constructors will use. The course aims to give a well-integrated balance of theoretical underpinnings and practical experience, strongly informed by the research expertise of our academic staff.
 

In the later years of the course, you’ll have the option to specialise and develop the skills needed to be a data scientist. Specifically, you will have the ability to develop and perform large-scale, repeatable data analyses grounded in statistical modelling. The term data science is often used interchangeably with big data or data analytics. It is becoming increasingly important as huge amounts of complex academic, business and government data are being generated from many largely online sources. This swelling lake of data needs increasing numbers of skilled personnel with the capacity to analyse and make sense of it all. That in turn requires that such personnel be trained in the latest skills and techniques in data science.

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  Location

DubaiUnited Arab Emirates

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  Course Duration

48 Months

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  Tuition Fee

AED 67,704

 Score

IELTS: 6

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Year 1
 

You will cover basic programming skills, the creation of apps for mobile devices, an introduction to computer systems, web design, databases and discrete mathematics.

 

Year 2
 

You will continue with software design - both high-level architectural issues as well as algorithms and data structures. Other topics are databases, hardware-software interface, interaction design and more advanced programming courses.

 

Year 3
 

You will study topics such as artificial intelligence, communications, networking, operating systems as well as more formal aspects of computing. You will also undertake a group programming project.

 

Year 4
 

You will study big data management, data mining and machine learning, and a choice of other advanced topics such as bio inspired computation, data visualization and analytics, network security. You will also undertake a major individual project in Data Science.
More in-depth information on the content of the courses listed above, how they are assessed and the learning outcomes can be accessed via our current student portal.

Our entry criteria are listed below. However, please note that the final decision remains at the discretion of the course director after evaluating scores of individual relevant subjects.
 

Students who are eligible to be admitted directly into second year can choose to join the first year, where available.

 

First year entry
 

  • GCE A-Level CCC (or AABB at AS-Level)

  • CBSE 65%.

  • American High School Diploma + SAT 1s - 1000

  • Tawjihiyya 80%

  • International Baccalaureate 24 points.

  • BTEC Level 3 Ext Diploma MMM

  • Foundation year Successful completion of Heriot-Watt University Degree Entry Programme (Engineering) with a BBBB.

  • FBISE grade 12 or equivalent – 70%

  • Curriculum Russian/Kazakhstan (Attestat) with minimum grade of 5 + IELTS 6.0

  • EmSAT minimum 1400 English, 1300 Maths, 1100 Physics, 1100 Chemistry

  • Compulsory subjects to include Mathematics and English.

 

Second year entry
 

  • GCE A-Levels BBC.

  • International Baccalaureate 27 points.

  • CBSE Overall 85%

  • American High School 70% + 3 AP at grade 4 OR Minimum 3 SAT 2’s 500 each

  • Higher National Diploma (HND) PPP

  • BTEC Level 3 Ext Diploma DDD

  • FBISE grade 12 or equivalent 85%

  • Compulsory subjects to include Mathematics, Computer Science, and English.

  • Transfer students from other universities may be considered on a case-by-case basis.

 

English language requirements
 

Where English was not the medium of instruction at secondary school, applicants must demonstrate English language proficiency equivalent to IELTS 6.0 Academic (with no element below 5.5).

AED 67704 per year

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