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Postgraduate Applied Data Science
MSC
Applied Data Science
January start available
Professional Experience option available
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Introduction
Master advanced data science tools and techniques and learn to apply them across a range of industries.
Why Applied Data Science at ARU?
- Gain skills in vital areas like data mining, machine learning, and statistical modelling, ensuring a well-rounded grasp of data science.
- Engage with real-world cases and industry projects when you study for a Masters degree in Data Science that equips you with practical skills aligned with current industry needs.
- Transition into data science whatever your experience – no computing or data-related degree required.
- Experience hands-on learning, including projects and in-depth exploration, fostering practical application of data science principles.
Data science promises to enhance technology, business models, and decision-making across a range of sectors – from manufacturing to social care; and cyber security to banking.
There’s a strong demand for data scientists. Our Applied Data Science Master’s degree will give you the knowledge and analytical skills you need to join this rapidly growing sector.
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Our MSc Applied Data Science degree takes you, step by step, through the major building blocks of data science.
By studying at ARU, you’ll gain highly marketable skills such as programming, data acquisition and cleaning, data analysis and feature extraction, data visualization, data mining, and machine learning. You’ll become proficient in advanced data science tools and techniques too – such as deep learning and predictive models – and learn about artificial intelligence.
And finally, you’ll complete a data science research project, based on your real-life experiences of working in a part of our University.
We’re always focused on the needs of industry and the real-world application of data science. And so, we incorporate real datasets and industry-simulated projects into our course modules. You’ll find this helps you to understand the challenges and constraints that organisations face – and hone your skills and expertise accordingly.
As a graduate, you’ll be ready to apply your data science skills to a range of careers.
Key facts
STUDY OPTIONS
1 year full-time
START DATES
September 2026
FEES
£11,100
Egyptian students
starting 2026/27
£18,600
International students
starting 2026/27
£11,700
Professional Experience
modules
TEACHING AND ASSESSMENT
1 year full-time
In your MSc Data Science you’ll start with a general introduction to data science techniques, exploring the core maths concepts that data analysts use through a mixture of lectures and hands-on practical sessions.
We will also look at high-level computer programming using Python, a powerful yet intuitive programming language. You won’t need any previous programming experience to take part.
Alongside programming, we look at the principles of data mining and machine learning, so that you’re able to analyse data, gather insights, and apply those insights to real-world challenges.
Crucially, our Data Science programme looks at how data science is used, designing and developing data-driven prediction models. You’ll practice with tools such as powerful Python libraries including NumPy, Pandas, Matplotlib, Scikit-learn and Seaborn.
And finally, you’ll work on a Major Project. This starts with a one-week placement in an area of our University. You’ll use the week to identify the topic of your Major Project, which takes the form of a 10,000-word report. You’ll identify issues, evaluate information, determine solutions, develop data science artefacts as appropriate, process data, and present your findings. Your project supervisor will support you all the way.
When studying for your Masters degree in Data Science, we’ll assess you in several ways, including time-constrained assessments, coursework assignments and a Major Project (dissertation). Our module case studies and Major Project assess your ability to analyse situations, identify key issues, select, synthesise and apply techniques and skills, and evaluate the appropriateness of solutions when compared to industrial practice. Your dissertation will be based on a real-world scenario.
Modules are subject to change and availability on the MSc Data Science programme.
Entry requirements
Standard entry requirements
Main
A first degree of 2:2 or above in a relevant subject, or a degree of 2.2 or above in any subject plus relevant experience.
If English is not your first language you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 ( Academic level) or equivalent English Language qualification, as recognised by Anglia Ruskin University.
Important additional notes
Our published entry requirements are a guide only and our decision will be based on your overall suitability for the course as well as whether you meet the minimum entry requirements.
Other equivalent qualifications may be accepted for entry to this course.Â
Additional information for international students
International students
We welcome applications from international and EU students, and accept a range of international qualifications.
English language requirements
If English is not your first language, you’ll need to make sure you meet our English language requirements for postgraduate courses.
Check the section ‘Standard entry requirements’ for IELTS requirements for this course.
Improving your English language skills
If you don’t meet our English language requirements, we offer a range of courses which could help you achieve the level required for entry.
We also provide our own English Language Proficiency Test (ELPT) in the UK and overseas. To find out if we are planning to hold an ELPT in your country, contact our country managers.
Fees and paying for university
Tuition fees for Egyptian students (2026/27)
Tuition fees for international students (2026/27)
Facilities
Outstanding student support
Join our postgraduate student community and:
- benefit from award-winning learning facilities, including extensive library and IT resources
- learn from expert staff who will guide your research interests and career development
- receive full support from our Career Development Center while you’re studying with us and after you graduate
- access support, should you need it, with study skills, health and wellbeing, and more.
Careers
Data scientist roles have grown over 650% since 2012, with machine learning engineers, data scientists, and big data engineers ranking among the top emerging jobs*. But there’s a recognised skills gap both in Egypt and internationally.
Employers highlight the importance of data science and its potential to revolutionise several industries while creating significant employment opportunities for data analysts, machine learning specialists, and data specialists.
Our Career Development Center is here to help give you the best chance of landing the job you want, with advice on CV writing, interview techniques and job hunting.
*U.S. Bureau of Labor Statistics
Learn more about MSc Applied Data Science
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- info@aru-cairo.com
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