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Study Postgraduate


MSC DATA SCIENCE


THE COURSE

Delivery type Weekdays (full-time) / Weekends (part-time) Duration 1 year
(full-time) / 2 years (part-time) Intake date September, January* (* part-time
only) Location Dubai

Our MSc in data science teaches the theory and skills for managing and analysing
very large and complex data sets, sometimes referred to as Big Data.

Find out how to apply More about this subject area


CONTACT

 * Contact
   
   Heriot-Watt University Dubai Campus

 * Telephone
   
   +971 4 571 7000

 * Email
   
   Dubaienquiries@hw.ac.uk


OVERVIEW

You will learn how to model, store and process these data sets using the latest
algorithms and techniques and about modern methods and tools for visually
exploring them.

The core courses of the programme provide the key skill set of a data scientist:
applying machine learning, managing large data sets, and generating interesting
visualisations.

The skills acquired will be applicable to business applications, industrial
applications and also to scientific data exploration.


PROFESSIONAL RECOGNITION

This programme is accredited by the British Computer Society.


ACCREDITATION

Read more about the UAE Federal Accreditation.


STUDENT PROFILE

> The world-class teaching, free access to educational materials and a strong
> alumni network are just some of the reasons why MACS school is the go-to
> option when it comes to higher education in the UAE.
> 
> Sanjna Elizabeth Sanjay, MSc Data Science


 * Course content
 * Career opportunities
 * Entry requirements
 * Fees and funding


COURSE CONTENT

Students undertake four courses in semester 1 and a further four courses in
semester 2. On this programme, the following taught courses are mandatory:


CORE COURSES

 * Big Data Management
 * Data Mining and Machine Learning
 * Statistical Modelling and Analysis
 * Data Visualisation and Analytics
 * Research Methods and Project Planning


OPTIONAL COURSES

 * Applied Development Operations 
 * Computer Network Security
 * Software Engineering Foundations
 * Advanced Software Engineering
 * Industrial Programming
 * Biologically Inspired Computation
 * Applied Text Analytics
 * Digital and Knowledge Economy

In addition to these taught courses, students pursuing the MSc qualification
undertake a Masters project, which culminates in a dissertation.


CAREER

The job market in Dubai is fast evolving to accommodate the needs of the
emerging knowledge economy towards which the UAE in general and Dubai in
particular is moving. Within that context, the job prospects for graduates in
MSc Data Science are excellent, both locally and also globally.


ENTRY REQUIREMENTS

Admission requires a good honours degree with a substantial academic component
of Computing or IT that includes study of databases and programming. Applicants
with an engineering or mathematics background may also be considered.

If you possess diverse backgrounds and believe you may qualify for this
programme or to find out more about the entry requirements for this programme,
please send an email to dubaienquiries@hw.ac.uk 

ENGLISH LANGUAGE REQUIREMENTS

Where English was not the medium of instruction at secondary school, applicants
must demonstrate English language proficiency equivalent to IELTS 6.5 (with all
elements passed at 6.0 or above). Applicants who have completed secondary and
tertiary education will need to provide documentary evidence. A minimum of one
year full-time study in English will be required.


FEES AND FUNDING

 * AED 91990*

* All tuition fees inclusive of VAT


SCHOLARSHIPS AND BURSARIES

See our range of degree entry, undergraduate, postgraduate taught and PhD
scholarships and discounts.




YOU MIGHT BE INTERESTED IN


DUBAI CAMPUS

Our Dubai Campus is a purpose-built, modern campus based in the heart of Dubai


OUR RANKINGS

Heriot-Watt consistently achieves high ranking across a number of key university
league tables


ACADEMIC CALENDAR

View semester dates for enrolment, teaching, holidays, examination and
graduation


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Dubai Knowledge Park, PO Box 38103
Dubai, UAE
+971 4 571 7000



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