Master of Science in Data Science
MSc (Online)
Study a flexible, affordable postgraduate data science degree with a globally ranked university and experts in online learning.
With Aston Online, online learners benefit from an immersive learning experience, dedicated support services, and a world-class digital campus. Develop a systematic understanding of the data science domain with a curriculum that includes machine learning, artificial intelligence, and data visualisation.
Programme Overview
Our Master of Science in Data Science (MSc) Online programme has been meticulously designed to offer you a comprehensive understanding of data sets and the tools used to analyse them. With limitless opportunities to use these tools in various domains and applications, graduates can impact industry, society, and policymaking.
Covering everything from machine learning and artificial intelligence to data visualisation and predictive modelling, the programme will equip you with a versatile skill set that aligns with the dynamic needs of the industry. Upon completion of the Data Science MSc, you will enter a highly sought-after job market, positioning yourself at the forefront of the data-driven revolution.
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What You Will Learn
- Earn a degree that meets industry standards: Our Data Science MSc provides you with a programme of advanced study that meets the needs of modern industry and other commercial organisations.
- Gain in-depth scientific knowledge and understanding of data science: This programme will give you a high-level understanding of data science relevant to the industry. You can focus on specific areas of interest through your choice of research project module.
- Develop an appreciation of developments in data science: The Data Science MSc programme will enable you to develop an informed and critical appreciation of scientific and industrial developments within the data science industry.
Meet The Head of Informatics and Digital Engineering
Why Study Online With Aston University?
Studying online through Aston University offers various advantages, making it an appealing choice for prospective students globally. You'll receive the same qualifications and degree certificates as on-campus students. The degree certificate does not mention online delivery.
Flexibility and convenience – fit your studies into your work-life balance.
Built for online – interactive, engaging, and purpose-designed curriculum available 24/7.
Affordable – spread the cost, pay monthly or in instalments, and earn as you learn.
Supported – dedicated student support and online tutors.
Expert tutors – staff with industry experience and experts in their fields.
Empowering creativity – complimentary full access to Adobe Creative Cloud tools for developing dynamic multimedia content and presentations through video, graphics and audio.
Transparent pricing – apply for free, with no hidden costs.
Ready for work and life – rigorous academic standards and curriculum focusing on the skills sought by employers (for now and the future).
University of the Year
Aston University was awarded University of the Year 2020 by the Guardian
I chose Aston University because of its renowned curriculum
Career Prospects
Data science professionals are in demand, with market size growth anticipated to reach over $178 billion by 2025. The demand for skilled data scientists continues to grow across all industries, including finance, health care and e-commerce.
Our Master of Science in Data Science (MSc) Online programme will put you at the forefront of the data-driven revolution, making you a sought-after professional who has a firm grip on data analytics and insights that are paramount for success. You will be equipped with in-depth knowledge to develop careers across a variety of fields. Alumni of this programme have secured positions in a broad range of companies, from start-ups to well-established corporations.
Recent graduates have gone onto roles including:
Data Journalist: Examine and use statistics for in-depth reporting and news writing.
Data Analyst: Collect, analyse, and interpret complex data sets to help companies make informed decisions.
Database Administrator: As part of an organisation’s IT department, give employees access to company data and applications to maintain security.
Data Science: Develop and execute strategies for analysing data, preparing data for analysis, and building models with data using programming languages.
How will I be assessed?
Online students will engage in various regular formative and timetabled summative assessment activities, where assessment modes and formats closely mirror relevant professional and industry contexts.
Formative assessment set by the module content will include short tasks and quizzes to check knowledge and competence. A combination of tutor-graded practical coursework assignments, projects, and automated assessment formats will provide a structured summative assessment for each module. In all assessments, online students will benefit from detailed assessment rubrics provided from the beginning of the module to guide their effort and achievement.
Programme Structure
Engage with a curriculum that integrates the latest advancements in machine learning and artificial intelligence practices with practical real-world applications.
Each credit of study is equivalent to 10 learning hours (e.g. 30 credits reflects 300 hours of learning).
Modules
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30 credits
An introduction to the fundamental skills required to succeed in the programme. You will be introduced to programming in Python and database concepts. Alongside this, you will enhance your skills in areas such as calculus, linear algebra, probability and statistics.
Machine Learning in Practice: Applications, Responsible Use and Ethics
30 credits
Gain the practical skills and understanding of all stages of the machine learning pipeline to prepare you for your future career and further study. Twinned with this, you will also consider the theoretical and ethical underpinnings of AI. Real-world problems will be chosen as case studies, offering a realistic view of the current progress of AI, while also focusing on challenges such as sustainable AI practices and more.
Natural Language Processing and Deep Learning
30 credits
This module introduces Natural Language Processing (NLP), a field of AI developing methods for understanding human languages. Following a deep dive into NLP, we look at Neural networks (NN) consisting of interconnected nodes organised in layers useful for tasks such as classification, regression, or data synthesis. Deep Learning uses multiple layered NN and is successful in NLP and other areas.
Advanced Machine Learning and Probabilistic Modelling
30 credits
You will gain a deeper level of understanding of the foundational ideas of machine learning. As part of this module, you will develop simple but practical statistical models for complex real-world data. The use of probabilistic Bayesian methods for inference and optimisation in data science problems, where models are data-driven, will also be covered. Both theoretical and practical principled approaches will be reviewed and the tools to implement them introduced.
Programme Outcomes
- Design solutions to real-world problems based on a knowledge of theories, principles and underlying concepts of data science.
- Create and implement algorithms using advanced computational skills and be able to assess the applicability of these algorithms.
- Analyse and critique methodologies and techniques related to data science and employ this knowledge to solve problems.
- Communicate complex data science concepts for academic, technical and non-technical audiences.
- Evaluate data science systems in light of their ethical and legal implications.
- Critically review academic and professional literature and conduct independent research using appropriate tools.
Modules
Major Project
30 credits
You will have the opportunity to undertake a major individual project. They can be undertaken in various settings, fields and disciplines subject to meeting the intended learning outcomes, and must be consistent with the discipline studied. Through this module, you will have the opportunity to showcase your knowledge and skills from past experiences. You will produce a substantial piece of individual work that forms the capstone project of the MSc.
Aston Global Advantage and Research Methods
30 credits
Access a transformational opportunity to work within inclusive teams to investigate, develop, and propose a novel, digital, data-driven, entrepreneurial AI-enabled, software-based solution to a real-world business challenge and prepare you for your major project.
The Programme Aims to:
- Enable students to develop a systematic understanding of the Data Science domain and the professional skills necessary in practice.
- Support students to develop the expertise to plan, design, and implement appropriate Data Science solutions in practical scenarios.
- Provide broad knowledge of Data Science techniques and develop the intellectual skills to create well-justified solutions.
- Provide experience of a substantial Data Science research or development project from the initial analysis of a problem, through design and planning, implementation, testing, evaluation, and documentation.
- Prepare graduates for the future challenges of Data Science.
We may update our programmes to reflect best practices and academic developments. If we do, we’ll let you know of any changes at the earliest opportunity by updating our programme webpages. If you have already received an offer, we’ll write to you directly to let you know of the changes.
Entry Requirements
One of the following:
- A UK 2:2 (lower second-class honours) degree in a numerate, technical or scientific subject. (Students will be given instruction and practice opportunities in coding, statistical and mathematical fundamentals, but prior experience in both is desirable).
- Equivalent international degree recognised by Aston University. Click here for more information or contact our Admissions Team to check your eligibility: enquiries@astononline.ac.uk
*Applicants whose first language is not English will be required to provide evidence of an English language qualification.
Alternative entry requirements:
We take a holistic approach to evaluating applications and accept applications from candidates with relevant work experience who still need to complete a graduate qualification. Contact our Admissions Team for a consultation before applying: enquiries@astononline.ac.uk
Additional entry requirements:
- If you are a current student or recent graduate (within the last 2–3 years), we will ask for an academic reference.
- If you are currently employed and not a recent graduate, we will ask for a professional reference.
English language requirements:
To be accepted onto our programmes, you must be able to satisfy the University's English language requirements. We aim to make your application process as easy as possible, however in all cases we reserve the right to request an English language qualification and / or conduct an interview.
We accept a wide range of English language qualifications including:
IELTS Academic and IELTS Academic Online
IELTS One Skill Retake
TOEFL and TOEFL iBT
Oxford ELLT (Global and Digital)
Pearson Academic (PTE)
Password Test
Language Cert International ESOL SELT
Kaplan Test of English (KTE)
Cambridge Advanced Test (CAE)
Cambridge Proficiency Test (CPE)
Tests must be taken within the last two years from the start date of the programme you are applying to study at Aston University.
Find Out If You Qualify
If you have any questions about your eligibility or the application process, please get in touch with the Aston Online Admissions Team:
Email: enquiries@astononline.ac.uk
Call: +44 (0) 121 824 6374
Our office is open Monday to Friday, 09:00-17:00 GMT
FAQs
What kind of support is available if I don’t have a strong background in programming or mathematics?
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Our online programme includes foundational modules such as "Fundamentals of Data Science," which covers essential skills in programming, calculus, linear algebra, probability, and statistics. Additionally, you’ll have access to online tutors and dedicated student support throughout the programme.
What are the benefits of studying our Master of Science in Data Science (MSc) Online programme?
Our Master of Science in Data Science (MSc) Online programme has been meticulously designed to offer a comprehensive understanding of the latest advancements in this field. Covering everything from machine learning and artificial intelligence to data visualisation and predictive modelling, the programme equips you with a versatile skill set that aligns with the dynamic needs of the industry. Upon completion of this course, you will enter a highly sought-after job sector, positioning you at the forefront of the data-driven revolution.
How flexible is our Master of Science in Data Science (MSc) Online programme?
Our programme is delivered 100% online, offering you a flexible schedule that allows you to study at your own pace while balancing your career, personal commitments, and academic work. With access to the programme materials, manageable workloads, and dedicated support services, the programme provides an ideal environment for career advancement.
How will I be assessed?
Online students will engage in a variety of regular formative and timetabled summative assessment activities, where assessment modes and formats closely mirror relevant professional and industry contexts.
- Formative assessment set by the module content will include short tasks, quiz-format tests, and production of outcomes to check knowledge and competence.
- A combination of tutor-graded practical coursework assignments, projects, and automated assessment formats will be used to provide a structured summative assessment for each module.
- In all assessments, online students will benefit from detailed assessment rubrics provided from the beginning of the module to guide their effort and achievement.
What level of math and programming proficiency is required?
Applicants should have had prior learning in probability theory, statistics, linear algebra, multivariable calculus, and optimisation. The mathematics and programming grades should all be equivalent to UK 60% or higher in the case where the applicant’s background is not in mathematics, statistics, or data science.
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