MSc Data Science
Dubai, United Arab Emirates
DURATION
1 up to 2 Years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Jan 2025
TUITION FEES
AED 36,050
STUDY FORMAT
On-Campus
Introduction
The role of a data scientist is rapidly becoming a required position for any company that wishes to take full advantage of the data they collect. There is an increased demand for professionals that have the correct mix of mathematics, statistics, computer science, business acumen, and the ability to leverage emerging technologies to solve real-life problems.
Course Highlights
This hands-on programme blends practice with theory to equip students with the skills, knowledge, and experience to pursue a career in Data Science. It includes significant time working in laboratories under the supervision of expert teaching staff, many of who have worked in the industry and are leading experts in the area. Students will be exposed to cutting-edge contemporary research activity within data science that will equip research-oriented students with the potential to pursue a research-based career, and, in particular, further PhD study.
Teaching
The course is taught through a series of practical workshops as well as self-directed study and project-based learning. There will be no formal lectures as all course content will be embedded within workshop sessions. Specialist facilities have been developed on campus exclusively for this degree and you will be taught how to use them by a number of experienced staff.
Virtual Open Days
Take part in our Virtual Open Days, where you can speak to faculty and staff to find out more about our wide range of programmes, entry requirements, scholarships, study modes, and get a feel for what it’s like to study at a world-class UK university in Dubai.
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Admissions
Curriculum
Programme Content
Focusing on the intertwining areas of machine learning, visual analytics, and data governance, the programme aims to strike a balance between theoretical underpinnings, practical hands-on experience, and the acquisition of industrially relevant languages and packages. Students will investigate theoretical concepts while gaining practical experience, ensuring that they have the core skill base to gain a key understanding that will be readily applicable for a career in data science. Topics will include applied data analytics, practical big data handling, and cloud distribution, as well as legal, ethical and security aspects of data management. Students will also get an insight into how various business areas (HR, Finance, Marketing and others), are using Data Science to crack business issues.
Note: Both core and optional modules are constantly updated and under review. As with most academic programmes, please remember that it is possible that a module may not be offered in any particular year, for instance, because too few students opt for it. Middlesex University reserves the right to vary or withdraw any course or module.
- Modelling, Regression and Machine Learning (30 Credits) - Compulsory
- Visual Data Analysis (30 Credits) - Compulsory
- Applied Data Analytics: Tools, Practical Big Data Handling, Cloud Distribution (30 Credits) - Compulsory
- Legal, Ethical and Security Aspects of Data Management (30 Credits) - Compulsory
- Individual Data Science Project (60 Credits) - Compulsory
Career Opportunities
The job role of a Data Scientist is now common and reflective of the increased industrial demand; the course itself is designed to cater to the specification of a Data Scientist. Reports show that machine learning, big data, and data science skills are highly in demand, creating a significant number of data-related jobs by 202. Graduates of the programme will be well equipped for careers as Data Scientists in a range of industries – both public and private sectors.